Bump version

Merge pull request #236 from socialcopsdev/read_url
[MRG] Add support to read from url
2018-12-24 15:51:29 +05:30 · 2018-12-24 13:29:41 +05:30 · 2018-12-24 13:10:48 +05:30 · 2018-12-24 13:00:19 +05:30 · 2018-12-24 12:55:52 +05:30 · 2018-12-22 11:15:55 +05:30
41 changed files with 1296 additions and 277 deletions
@@ -4,6 +4,38 @@ Release History
 master
 ------

+0.6.0 (2018-12-24)
+------------------
+
+**Improvements**
+
+* [#91](https://github.com/socialcopsdev/camelot/issues/91) Add support to read from url. [#236](https://github.com/socialcopsdev/camelot/pull/236) by Vinayak Mehta.
+* [#229](https://github.com/socialcopsdev/camelot/issues/229), [#230](https://github.com/socialcopsdev/camelot/issues/230) and [#233](https://github.com/socialcopsdev/camelot/issues/233) New configuration parameters. [#234](https://github.com/socialcopsdev/camelot/pull/234) by Vinayak Mehta.
+    * `strip_text`: To define characters that should be stripped from each string.
+    * `edge_tol`: Tolerance parameter for extending textedges vertically.
+    * `resolution`: Resolution used for PDF to PNG conversion.
+    * Check out the [advanced docs](https://camelot-py.readthedocs.io/en/master/user/advanced.html#strip-characters-from-text) for usage details.
+* [#170](https://github.com/socialcopsdev/camelot/issues/170) Add option to pass pdfminer layout kwargs. [#232](https://github.com/socialcopsdev/camelot/pull/232) by Vinayak Mehta.
+    * Keyword arguments for [pdfminer.layout.LAParams](https://github.com/euske/pdfminer/blob/master/pdfminer/layout.py#L33) can now be passed using `layout_kwargs` in `read_pdf()`.
+    * The `margins` keyword argument in `read_pdf()` is now deprecated.
+
+0.5.0 (2018-12-13)
+------------------
+
+**Improvements**
+
+* [#207](https://github.com/socialcopsdev/camelot/issues/207) Add a plot type for Stream text edges and detected table areas. [#224](https://github.com/socialcopsdev/camelot/pull/224) by Vinayak Mehta.
+* [#204](https://github.com/socialcopsdev/camelot/issues/204) `suppress_warnings` is now called `suppress_stdout`. [#225](https://github.com/socialcopsdev/camelot/pull/225) by Vinayak Mehta.
+
+**Bugfixes**
+
+* [#217](https://github.com/socialcopsdev/camelot/issues/217) Fix IndexError when scale is large.
+* [#105](https://github.com/socialcopsdev/camelot/issues/105), [#192](https://github.com/socialcopsdev/camelot/issues/192) and [#215](https://github.com/socialcopsdev/camelot/issues/215) in [#227](https://github.com/socialcopsdev/camelot/pull/227) by Vinayak Mehta.
+
+**Documentation**
+
+* Add pdfplumber comparison and update Tabula (stream) comparison. Check out the [wiki page](https://github.com/socialcopsdev/camelot/wiki/Comparison-with-other-PDF-Table-Extraction-libraries-and-tools).
+
 0.4.1 (2018-12-05)
 ------------------

@@ -1,6 +1,6 @@
 # -*- coding: utf-8 -*-

-VERSION = (0, 4, 1)
+VERSION = (0, 6, 0)
 PRERELEASE = None # alpha, beta or rc
 REVISION = None

@@ -30,6 +30,7 @@ pass_config = click.make_pass_decorator(Config)

@click.group()
@click.version_option(version=__version__)
+@click.option('-q', '--quiet', is_flag=False, help='Suppress logs and warnings.')
@click.option('-p', '--pages', default='1', help='Comma-separated page numbers.'
              ' Example: 1,3,4 or 1,4-end.')
@click.option('-pw', '--password', help='Password for decryption.')
@@ -42,9 +43,10 @@ pass_config = click.make_pass_decorator(Config)
              help='Split text that spans across multiple cells.')
@click.option('-flag', '--flag_size', is_flag=True, help='Flag text based on'
              ' font size. Useful to detect super/subscripts.')
+@click.option('-strip', '--strip_text', help='Characters that should be stripped from a string before'
+              ' assigning it to a cell.')
@click.option('-M', '--margins', nargs=3, default=(1.0, 0.5, 0.1),
              help='PDFMiner char_margin, line_margin and word_margin.')
-@click.option('-q', '--quiet', is_flag=True, help='Suppress warnings.')
@click.pass_context
 def cli(ctx, *args, **kwargs):
    """Camelot: PDF Table Extraction for Humans"""
@@ -68,10 +70,10 @@ def cli(ctx, *args, **kwargs):
@click.option('-shift', '--shift_text', default=['l', 't'],
              type=click.Choice(['', 'l', 'r', 't', 'b']), multiple=True,
              help='Direction in which text in a spanning cell will flow.')
-@click.option('-l', '--line_close_tol', default=2,
+@click.option('-l', '--line_tol', default=2,
              help='Tolerance parameter used to merge close vertical'
              ' and horizontal lines.')
-@click.option('-j', '--joint_close_tol', default=2,
+@click.option('-j', '--joint_tol', default=2,
              help='Tolerance parameter used to decide whether'
              ' the detected lines and points lie close to each other.')
@click.option('-block', '--threshold_blocksize', default=15,
@@ -84,6 +86,8 @@ def cli(ctx, *args, **kwargs):
              ' may be zero or negative as well.')
@click.option('-I', '--iterations', default=0,
              help='Number of times for erosion/dilation will be applied.')
+@click.option('-res', '--resolution', default=300,
+              help='Resolution used for PDF to PNG conversion.')
@click.option('-plot', '--plot_type',
              type=click.Choice(['text', 'grid', 'contour', 'joint', 'line']),
              help='Plot elements found on PDF page for visual debugging.')
@@ -96,7 +100,7 @@ def lattice(c, *args, **kwargs):
    output = conf.pop('output')
    f = conf.pop('format')
    compress = conf.pop('zip')
-    suppress_warnings = conf.pop('quiet')
+    quiet = conf.pop('quiet')
    plot_type = kwargs.pop('plot_type')
    filepath = kwargs.pop('filepath')
    kwargs.update(conf)
@@ -117,7 +121,7 @@ def lattice(c, *args, **kwargs):
            raise click.UsageError('Please specify output file format using --format')

    tables = read_pdf(filepath, pages=pages, flavor='lattice',
-                      suppress_warnings=suppress_warnings, **kwargs)
+                      suppress_stdout=quiet, **kwargs)
    click.echo('Found {} tables'.format(tables.n))
    if plot_type is not None:
        for table in tables:
@@ -133,12 +137,14 @@ def lattice(c, *args, **kwargs):
              ' where x1, y1 -> left-top and x2, y2 -> right-bottom.')
@click.option('-C', '--columns', default=[], multiple=True,
              help='X coordinates of column separators.')
-@click.option('-r', '--row_close_tol', default=2, help='Tolerance parameter'
+@click.option('-e', '--edge_tol', default=50, help='Tolerance parameter'
+              ' for extending textedges vertically.')
+@click.option('-r', '--row_tol', default=2, help='Tolerance parameter'
              ' used to combine text vertically, to generate rows.')
-@click.option('-c', '--col_close_tol', default=0, help='Tolerance parameter'
+@click.option('-c', '--column_tol', default=0, help='Tolerance parameter'
              ' used to combine text horizontally, to generate columns.')
@click.option('-plot', '--plot_type',
-              type=click.Choice(['text', 'grid']),
+              type=click.Choice(['text', 'grid', 'contour', 'textedge']),
              help='Plot elements found on PDF page for visual debugging.')
@click.argument('filepath', type=click.Path(exists=True))
@pass_config
@@ -149,7 +155,7 @@ def stream(c, *args, **kwargs):
    output = conf.pop('output')
    f = conf.pop('format')
    compress = conf.pop('zip')
-    suppress_warnings = conf.pop('quiet')
+    quiet = conf.pop('quiet')
    plot_type = kwargs.pop('plot_type')
    filepath = kwargs.pop('filepath')
    kwargs.update(conf)
@@ -169,7 +175,7 @@ def stream(c, *args, **kwargs):
            raise click.UsageError('Please specify output file format using --format')

    tables = read_pdf(filepath, pages=pages, flavor='stream',
-                      suppress_warnings=suppress_warnings, **kwargs)
+                      suppress_stdout=quiet, **kwargs)
    click.echo('Found {} tables'.format(tables.n))
    if plot_type is not None:
        for table in tables:
@@ -13,8 +13,6 @@ import pandas as pd
 # minimum number of vertical textline intersections for a textedge
 # to be considered valid
 TEXTEDGE_REQUIRED_ELEMENTS = 4
-# y coordinate tolerance for extending textedge
-TEXTEDGE_EXTEND_TOLERANCE = 50
 # padding added to table area on the left, right and bottom
 TABLE_AREA_PADDING = 10

@@ -55,11 +53,11 @@ class TextEdge(object):
        return '<TextEdge x={} y0={} y1={} align={} valid={}>'.format(
            round(self.x, 2), round(self.y0, 2), round(self.y1, 2), self.align, self.is_valid)

-    def update_coords(self, x, y0):
+    def update_coords(self, x, y0, edge_tol=50):
        """Updates the text edge's x and bottom y coordinates and sets
        the is_valid attribute.
        """
-        if np.isclose(self.y0, y0, atol=TEXTEDGE_EXTEND_TOLERANCE):
+        if np.isclose(self.y0, y0, atol=edge_tol):
            self.x = (self.intersections * self.x + x) / float(self.intersections + 1)
            self.y0 = y0
            self.intersections += 1
@@ -74,7 +72,8 @@ class TextEdges(object):
    the PDF page. The dict has three keys based on the alignments,
    and each key's value is a list of camelot.core.TextEdge objects.
    """
-    def __init__(self):
+    def __init__(self, edge_tol=50):
+        self.edge_tol = edge_tol
        self._textedges = {'left': [], 'right': [], 'middle': []}

    @staticmethod
@@ -115,7 +114,8 @@ class TextEdges(object):
            if idx is None:
                self.add(textline, align)
            else:
-                self._textedges[align][idx].update_coords(x_coord, textline.y0)
+                self._textedges[align][idx].update_coords(
+                    x_coord, textline.y0, edge_tol=self.edge_tol)

    def generate(self, textlines):
        """Generates the text edges dict based on horizontal text
@@ -359,7 +359,7 @@ class Table(object):
                cell.left = cell.right = cell.top = cell.bottom = True
        return self

-    def set_edges(self, vertical, horizontal, joint_close_tol=2):
+    def set_edges(self, vertical, horizontal, joint_tol=2):
        """Sets a cell's edges to True depending on whether the cell's
        coordinates overlap with the line's coordinates within a
        tolerance.
@@ -376,11 +376,11 @@ class Table(object):
            # find closest x coord
            # iterate over y coords and find closest start and end points
            i = [i for i, t in enumerate(self.cols)
-                 if np.isclose(v[0], t[0], atol=joint_close_tol)]
+                 if np.isclose(v[0], t[0], atol=joint_tol)]
            j = [j for j, t in enumerate(self.rows)
-                 if np.isclose(v[3], t[0], atol=joint_close_tol)]
+                 if np.isclose(v[3], t[0], atol=joint_tol)]
            k = [k for k, t in enumerate(self.rows)
-                 if np.isclose(v[1], t[0], atol=joint_close_tol)]
+                 if np.isclose(v[1], t[0], atol=joint_tol)]
            if not j:
                continue
            J = j[0]
@@ -427,11 +427,11 @@ class Table(object):
            # find closest y coord
            # iterate over x coords and find closest start and end points
            i = [i for i, t in enumerate(self.rows)
-                 if np.isclose(h[1], t[0], atol=joint_close_tol)]
+                 if np.isclose(h[1], t[0], atol=joint_tol)]
            j = [j for j, t in enumerate(self.cols)
-                 if np.isclose(h[0], t[0], atol=joint_close_tol)]
+                 if np.isclose(h[0], t[0], atol=joint_tol)]
            k = [k for k, t in enumerate(self.cols)
-                 if np.isclose(h[2], t[0], atol=joint_close_tol)]
+                 if np.isclose(h[2], t[0], atol=joint_tol)]
            if not j:
                continue
            J = j[0]
@@ -448,7 +448,7 @@ class Table(object):
                        self.cells[L][J].top = True
                        J += 1
            elif i == []:  # only bottom edge
-                I = len(self.rows) - 1
+                L = len(self.rows) - 1
                if k:
                    K = k[0]
                    while J < K:
@@ -8,7 +8,7 @@ from PyPDF2 import PdfFileReader, PdfFileWriter
 from .core import TableList
 from .parsers import Stream, Lattice
 from .utils import (TemporaryDirectory, get_page_layout, get_text_objects,
-                    get_rotation)
+                    get_rotation, is_url, download_url)


 class PDFHandler(object):
@@ -18,8 +18,8 @@ class PDFHandler(object):

    Parameters
    ----------
-    filename : str
-        Path to PDF file.
+    filepath : str
+        Filepath or URL of the PDF file.
    pages : str, optional (default: '1')
        Comma-separated page numbers.
        Example: '1,3,4' or '1,4-end'.
@@ -27,11 +27,13 @@ class PDFHandler(object):
        Password for decryption.

    """
-    def __init__(self, filename, pages='1', password=None):
-        self.filename = filename
-        if not filename.lower().endswith('.pdf'):
+    def __init__(self, filepath, pages='1', password=None):
+        if is_url(filepath):
+            filepath = download_url(filepath)
+        self.filepath = filepath
+        if not filepath.lower().endswith('.pdf'):
            raise NotImplementedError("File format not supported")
-        self.pages = self._get_pages(self.filename, pages)
+        self.pages = self._get_pages(self.filepath, pages)
        if password is None:
            self.password = ''
        else:
@@ -39,13 +41,13 @@ class PDFHandler(object):
            if sys.version_info[0] < 3:
                self.password = self.password.encode('ascii')

-    def _get_pages(self, filename, pages):
+    def _get_pages(self, filepath, pages):
        """Converts pages string to list of ints.

        Parameters
        ----------
-        filename : str
-            Path to PDF file.
+        filepath : str
+            Filepath or URL of the PDF file.
        pages : str, optional (default: '1')
            Comma-separated page numbers.
            Example: 1,3,4 or 1,4-end.
@@ -60,7 +62,7 @@ class PDFHandler(object):
        if pages == '1':
            page_numbers.append({'start': 1, 'end': 1})
        else:
-            infile = PdfFileReader(open(filename, 'rb'), strict=False)
+            infile = PdfFileReader(open(filepath, 'rb'), strict=False)
            if infile.isEncrypted:
                infile.decrypt(self.password)
            if pages == 'all':
@@ -79,20 +81,20 @@ class PDFHandler(object):
            P.extend(range(p['start'], p['end'] + 1))
        return sorted(set(P))

-    def _save_page(self, filename, page, temp):
+    def _save_page(self, filepath, page, temp):
        """Saves specified page from PDF into a temporary directory.

        Parameters
        ----------
-        filename : str
-            Path to PDF file.
+        filepath : str
+            Filepath or URL of the PDF file.
        page : int
            Page number.
        temp : str
            Tmp directory.

        """
-        with open(filename, 'rb') as fileobj:
+        with open(filepath, 'rb') as fileobj:
            infile = PdfFileReader(fileobj, strict=False)
            if infile.isEncrypted:
                infile.decrypt(self.password)
@@ -125,7 +127,7 @@ class PDFHandler(object):
                with open(fpath, 'wb') as f:
                    outfile.write(f)

-    def parse(self, flavor='lattice', **kwargs):
+    def parse(self, flavor='lattice', suppress_stdout=False, layout_kwargs={}, **kwargs):
        """Extracts tables by calling parser.get_tables on all single
        page PDFs.

@@ -134,6 +136,10 @@ class PDFHandler(object):
        flavor : str (default: 'lattice')
            The parsing method to use ('lattice' or 'stream').
            Lattice is used by default.
+        suppress_stdout : str (default: False)
+            Suppress logs and warnings.
+        layout_kwargs : dict, optional (default: {})
+            A dict of `pdfminer.layout.LAParams <https://github.com/euske/pdfminer/blob/master/pdfminer/layout.py#L33>`_ kwargs.
        kwargs : dict
            See camelot.read_pdf kwargs.

@@ -146,11 +152,12 @@ class PDFHandler(object):
        tables = []
        with TemporaryDirectory() as tempdir:
            for p in self.pages:
-                self._save_page(self.filename, p, tempdir)
+                self._save_page(self.filepath, p, tempdir)
            pages = [os.path.join(tempdir, 'page-{0}.pdf'.format(p))
                     for p in self.pages]
            parser = Lattice(**kwargs) if flavor == 'lattice' else Stream(**kwargs)
            for p in pages:
-                t = parser.extract_tables(p)
+                t = parser.extract_tables(p, suppress_stdout=suppress_stdout,
+                                          layout_kwargs=layout_kwargs)
                tables.extend(t)
        return TableList(tables)
@@ -6,7 +6,7 @@ from .utils import validate_input, remove_extra


 def read_pdf(filepath, pages='1', password=None, flavor='lattice',
-             suppress_warnings=False, **kwargs):
+             suppress_stdout=False, layout_kwargs={}, **kwargs):
    """Read PDF and return extracted tables.

    Note: kwargs annotated with ^ can only be used with flavor='stream'
@@ -15,7 +15,7 @@ def read_pdf(filepath, pages='1', password=None, flavor='lattice',
    Parameters
    ----------
    filepath : str
-        Path to PDF file.
+        Filepath or URL of the PDF file.
    pages : str, optional (default: '1')
        Comma-separated page numbers.
        Example: '1,3,4' or '1,4-end'.
@@ -24,8 +24,10 @@ def read_pdf(filepath, pages='1', password=None, flavor='lattice',
    flavor : str (default: 'lattice')
        The parsing method to use ('lattice' or 'stream').
        Lattice is used by default.
-    suppress_warnings : bool, optional (default: False)
-        Prevent warnings from being emitted by Camelot.
+    suppress_stdout : bool, optional (default: True)
+        Print all logs and warnings.
+    layout_kwargs : dict, optional (default: {})
+        A dict of `pdfminer.layout.LAParams <https://github.com/euske/pdfminer/blob/master/pdfminer/layout.py#L33>`_ kwargs.
    table_areas : list, optional (default: None)
        List of table area strings of the form x1,y1,x2,y2
        where (x1, y1) -> left-top and (x2, y2) -> right-bottom
@@ -38,10 +40,13 @@ def read_pdf(filepath, pages='1', password=None, flavor='lattice',
    flag_size : bool, optional (default: False)
        Flag text based on font size. Useful to detect
        super/subscripts. Adds <s></s> around flagged text.
-    row_close_tol^ : int, optional (default: 2)
+    strip_text : str, optional (default: '')
+        Characters that should be stripped from a string before
+        assigning it to a cell.
+    row_tol^ : int, optional (default: 2)
        Tolerance parameter used to combine text vertically,
        to generate rows.
-    col_close_tol^ : int, optional (default: 0)
+    column_tol^ : int, optional (default: 0)
        Tolerance parameter used to combine text horizontally,
        to generate columns.
    process_background* : bool, optional (default: False)
@@ -57,10 +62,10 @@ def read_pdf(filepath, pages='1', password=None, flavor='lattice',
    shift_text* : list, optional (default: ['l', 't'])
        {'l', 'r', 't', 'b'}
        Direction in which text in a spanning cell will flow.
-    line_close_tol* : int, optional (default: 2)
+    line_tol* : int, optional (default: 2)
        Tolerance parameter used to merge close vertical and horizontal
        lines.
-    joint_close_tol* : int, optional (default: 2)
+    joint_tol* : int, optional (default: 2)
        Tolerance parameter used to decide whether the detected lines
        and points lie close to each other.
    threshold_blocksize* : int, optional (default: 15)
@@ -77,10 +82,8 @@ def read_pdf(filepath, pages='1', password=None, flavor='lattice',
        Number of times for erosion/dilation is applied.

        For more information, refer `OpenCV's dilate <https://docs.opencv.org/2.4/modules/imgproc/doc/filtering.html#dilate>`_.
-    margins : tuple
-        PDFMiner char_margin, line_margin and word_margin.
-
-        For more information, refer `PDFMiner docs <https://euske.github.io/pdfminer/>`_.
+    resolution* : int, optional (default: 300)
+        Resolution used for PDF to PNG conversion.

    Returns
    -------
@@ -92,11 +95,12 @@ def read_pdf(filepath, pages='1', password=None, flavor='lattice',
                                  " Use either 'lattice' or 'stream'")

    with warnings.catch_warnings():
-        if suppress_warnings:
+        if suppress_stdout:
            warnings.simplefilter("ignore")

        validate_input(kwargs, flavor=flavor)
        p = PDFHandler(filepath, pages=pages, password=password)
        kwargs = remove_extra(kwargs, flavor=flavor)
-        tables = p.parse(flavor=flavor, **kwargs)
+        tables = p.parse(flavor=flavor, suppress_stdout=suppress_stdout,
+                         layout_kwargs=layout_kwargs, **kwargs)
        return tables
@@ -8,13 +8,11 @@ from ..utils import get_page_layout, get_text_objects
 class BaseParser(object):
    """Defines a base parser.
    """
-    def _generate_layout(self, filename):
+    def _generate_layout(self, filename, layout_kwargs):
        self.filename = filename
+        self.layout_kwargs = layout_kwargs
        self.layout, self.dimensions = get_page_layout(
-            self.filename,
-            char_margin=self.char_margin,
-            line_margin=self.line_margin,
-            word_margin=self.word_margin)
+            filename, **layout_kwargs)
        self.horizontal_text = get_text_objects(self.layout, ltype="lh")
        self.vertical_text = get_text_objects(self.layout, ltype="lv")
        self.pdf_width, self.pdf_height = self.dimensions
@@ -50,10 +50,13 @@ class Lattice(BaseParser):
    flag_size : bool, optional (default: False)
        Flag text based on font size. Useful to detect
        super/subscripts. Adds <s></s> around flagged text.
-    line_close_tol : int, optional (default: 2)
+    strip_text : str, optional (default: '')
+        Characters that should be stripped from a string before
+        assigning it to a cell.
+    line_tol : int, optional (default: 2)
        Tolerance parameter used to merge close vertical and horizontal
        lines.
-    joint_close_tol : int, optional (default: 2)
+    joint_tol : int, optional (default: 2)
        Tolerance parameter used to decide whether the detected lines
        and points lie close to each other.
    threshold_blocksize : int, optional (default: 15)
@@ -70,17 +73,15 @@ class Lattice(BaseParser):
        Number of times for erosion/dilation is applied.

        For more information, refer `OpenCV's dilate <https://docs.opencv.org/2.4/modules/imgproc/doc/filtering.html#dilate>`_.
-    margins : tuple
-        PDFMiner char_margin, line_margin and word_margin.
-
-        For more information, refer `PDFMiner docs <https://euske.github.io/pdfminer/>`_.
+    resolution : int, optional (default: 300)
+        Resolution used for PDF to PNG conversion.

    """
    def __init__(self, table_areas=None, process_background=False,
                 line_size_scaling=15, copy_text=None, shift_text=['l', 't'],
-                 split_text=False, flag_size=False, line_close_tol=2,
-                 joint_close_tol=2, threshold_blocksize=15, threshold_constant=-2,
-                 iterations=0, margins=(1.0, 0.5, 0.1), **kwargs):
+                 split_text=False, flag_size=False, strip_text='', line_tol=2,
+                 joint_tol=2, threshold_blocksize=15, threshold_constant=-2,
+                 iterations=0, resolution=300, **kwargs):
        self.table_areas = table_areas
        self.process_background = process_background
        self.line_size_scaling = line_size_scaling
@@ -88,12 +89,13 @@ class Lattice(BaseParser):
        self.shift_text = shift_text
        self.split_text = split_text
        self.flag_size = flag_size
-        self.line_close_tol = line_close_tol
-        self.joint_close_tol = joint_close_tol
+        self.strip_text = strip_text
+        self.line_tol = line_tol
+        self.joint_tol = joint_tol
        self.threshold_blocksize = threshold_blocksize
        self.threshold_constant = threshold_constant
        self.iterations = iterations
-        self.char_margin, self.line_margin, self.word_margin = margins
+        self.resolution = resolution

    @staticmethod
    def _reduce_index(t, idx, shift_text):
@@ -214,7 +216,7 @@ class Lattice(BaseParser):
            '-sDEVICE=png16m',
            '-o',
            self.imagename,
-            '-r600',
+            '-r{}'.format(self.resolution),
            self.filename
        ]
        gs = get_executable()
@@ -271,10 +273,11 @@ class Lattice(BaseParser):
            tk, self.vertical_segments, self.horizontal_segments)
        t_bbox['horizontal'] = text_in_bbox(tk, self.horizontal_text)
        t_bbox['vertical'] = text_in_bbox(tk, self.vertical_text)
-        self.t_bbox = t_bbox

-        for direction in t_bbox:
-            t_bbox[direction].sort(key=lambda x: (-x.y0, x.x0))
+        t_bbox['horizontal'].sort(key=lambda x: (-x.y0, x.x0))
+        t_bbox['vertical'].sort(key=lambda x: (x.x0, -x.y0))
+
+        self.t_bbox = t_bbox

        cols, rows = zip(*self.table_bbox[tk])
        cols, rows = list(cols), list(rows)
@@ -282,9 +285,9 @@ class Lattice(BaseParser):
        rows.extend([tk[1], tk[3]])
        # sort horizontal and vertical segments
        cols = merge_close_lines(
-            sorted(cols), line_close_tol=self.line_close_tol)
+            sorted(cols), line_tol=self.line_tol)
        rows = merge_close_lines(
-            sorted(rows, reverse=True), line_close_tol=self.line_close_tol)
+            sorted(rows, reverse=True), line_tol=self.line_tol)
        # make grid using x and y coord of shortlisted rows and cols
        cols = [(cols[i], cols[i + 1])
                for i in range(0, len(cols) - 1)]
@@ -301,18 +304,20 @@ class Lattice(BaseParser):

        table = Table(cols, rows)
        # set table edges to True using ver+hor lines
-        table = table.set_edges(v_s, h_s, joint_close_tol=self.joint_close_tol)
+        table = table.set_edges(v_s, h_s, joint_tol=self.joint_tol)
        # set table border edges to True
        table = table.set_border()
        # set spanning cells to True
        table = table.set_span()

        pos_errors = []
-        for direction in self.t_bbox:
+        # TODO: have a single list in place of two directional ones?
+        # sorted on x-coordinate based on reading order i.e. LTR or RTL
+        for direction in ['vertical', 'horizontal']:
            for t in self.t_bbox[direction]:
                indices, error = get_table_index(
                    table, t, direction, split_text=self.split_text,
-                    flag_size=self.flag_size)
+                    flag_size=self.flag_size, strip_text=self.strip_text)
                if indices[:2] != (-1, -1):
                    pos_errors.append(error)
                    indices = Lattice._reduce_index(table, indices, shift_text=self.shift_text)
@@ -341,12 +346,14 @@ class Lattice(BaseParser):
        table._text = _text
        table._image = (self.image, self.table_bbox_unscaled)
        table._segments = (self.vertical_segments, self.horizontal_segments)
+        table._textedges = None

        return table

-    def extract_tables(self, filename):
-        self._generate_layout(filename)
-        logger.info('Processing {}'.format(os.path.basename(self.rootname)))
+    def extract_tables(self, filename, suppress_stdout=False, layout_kwargs={}):
+        self._generate_layout(filename, layout_kwargs)
+        if not suppress_stdout:
+            logger.info('Processing {}'.format(os.path.basename(self.rootname)))

        if not self.horizontal_text:
            warnings.warn("No tables found on {}".format(
@@ -38,29 +38,31 @@ class Stream(BaseParser):
    flag_size : bool, optional (default: False)
        Flag text based on font size. Useful to detect
        super/subscripts. Adds <s></s> around flagged text.
-    row_close_tol : int, optional (default: 2)
+    strip_text : str, optional (default: '')
+        Characters that should be stripped from a string before
+        assigning it to a cell.
+    edge_tol : int, optional (default: 50)
+        Tolerance parameter for extending textedges vertically.
+    row_tol : int, optional (default: 2)
        Tolerance parameter used to combine text vertically,
        to generate rows.
-    col_close_tol : int, optional (default: 0)
+    column_tol : int, optional (default: 0)
        Tolerance parameter used to combine text horizontally,
        to generate columns.
-    margins : tuple, optional (default: (1.0, 0.5, 0.1))
-        PDFMiner char_margin, line_margin and word_margin.
-
-        For more information, refer `PDFMiner docs <https://euske.github.io/pdfminer/>`_.

    """
    def __init__(self, table_areas=None, columns=None, split_text=False,
-                 flag_size=False, row_close_tol=2, col_close_tol=0,
-                 margins=(1.0, 0.5, 0.1), **kwargs):
+                 flag_size=False, strip_text='', edge_tol=50, row_tol=2,
+                 column_tol=0, **kwargs):
        self.table_areas = table_areas
        self.columns = columns
        self._validate_columns()
        self.split_text = split_text
        self.flag_size = flag_size
-        self.row_close_tol = row_close_tol
-        self.col_close_tol = col_close_tol
-        self.char_margin, self.line_margin, self.word_margin = margins
+        self.strip_text = strip_text
+        self.edge_tol = edge_tol
+        self.row_tol = row_tol
+        self.column_tol = column_tol

    @staticmethod
    def _text_bbox(t_bbox):
@@ -86,7 +88,7 @@ class Stream(BaseParser):
        return text_bbox

    @staticmethod
-    def _group_rows(text, row_close_tol=2):
+    def _group_rows(text, row_tol=2):
        """Groups PDFMiner text objects into rows vertically
        within a tolerance.

@@ -94,7 +96,7 @@ class Stream(BaseParser):
        ----------
        text : list
            List of PDFMiner text objects.
-        row_close_tol : int, optional (default: 2)
+        row_tol : int, optional (default: 2)

        Returns
        -------
@@ -110,7 +112,7 @@ class Stream(BaseParser):
            # if t.get_text().strip() and all([obj.upright for obj in t._objs if
            # type(obj) is LTChar]):
            if t.get_text().strip():
-                if not np.isclose(row_y, t.y0, atol=row_close_tol):
+                if not np.isclose(row_y, t.y0, atol=row_tol):
                    rows.append(sorted(temp, key=lambda t: t.x0))
                    temp = []
                    row_y = t.y0
@@ -120,7 +122,7 @@ class Stream(BaseParser):
        return rows

    @staticmethod
-    def _merge_columns(l, col_close_tol=0):
+    def _merge_columns(l, column_tol=0):
        """Merges column boundaries horizontally if they overlap
        or lie within a tolerance.

@@ -128,7 +130,7 @@ class Stream(BaseParser):
        ----------
        l : list
            List of column x-coordinate tuples.
-        col_close_tol : int, optional (default: 0)
+        column_tol : int, optional (default: 0)

        Returns
        -------
@@ -142,17 +144,17 @@ class Stream(BaseParser):
                merged.append(higher)
            else:
                lower = merged[-1]
-                if col_close_tol >= 0:
+                if column_tol >= 0:
                    if (higher[0] <= lower[1] or
-                            np.isclose(higher[0], lower[1], atol=col_close_tol)):
+                            np.isclose(higher[0], lower[1], atol=column_tol)):
                        upper_bound = max(lower[1], higher[1])
                        lower_bound = min(lower[0], higher[0])
                        merged[-1] = (lower_bound, upper_bound)
                    else:
                        merged.append(higher)
-                elif col_close_tol < 0:
+                elif column_tol < 0:
                    if higher[0] <= lower[1]:
-                        if np.isclose(higher[0], lower[1], atol=abs(col_close_tol)):
+                        if np.isclose(higher[0], lower[1], atol=abs(column_tol)):
                            merged.append(higher)
                        else:
                            upper_bound = max(lower[1], higher[1])
@@ -189,7 +191,7 @@ class Stream(BaseParser):
        return rows

    @staticmethod
-    def _add_columns(cols, text, row_close_tol):
+    def _add_columns(cols, text, row_tol):
        """Adds columns to existing list by taking into account
        the text that lies outside the current column x-coordinates.

@@ -208,7 +210,7 @@ class Stream(BaseParser):

        """
        if text:
-            text = Stream._group_rows(text, row_close_tol=row_close_tol)
+            text = Stream._group_rows(text, row_tol=row_tol)
            elements = [len(r) for r in text]
            new_cols = [(t.x0, t.x1)
                        for r in text if len(r) == max(elements) for t in r]
@@ -254,15 +256,15 @@ class Stream(BaseParser):
        Assumes that tables are situated relatively far apart
        vertically.
        """
-
        # TODO: add support for arabic text #141
        # sort textlines in reading order
        textlines.sort(key=lambda x: (-x.y0, x.x0))
-        textedges = TextEdges()
+        textedges = TextEdges(edge_tol=self.edge_tol)
        # generate left, middle and right textedges
        textedges.generate(textlines)
        # select relevant edges
        relevant_textedges = textedges.get_relevant()
+        self.textedges.extend(relevant_textedges)
        # guess table areas using textlines and relevant edges
        table_bbox = textedges.get_table_areas(textlines, relevant_textedges)
        # treat whole page as table area if no table areas found
@@ -272,6 +274,7 @@ class Stream(BaseParser):
        return table_bbox

    def _generate_table_bbox(self):
+        self.textedges = []
        if self.table_areas is not None:
            table_bbox = {}
            for area in self.table_areas:
@@ -291,13 +294,14 @@ class Stream(BaseParser):
        t_bbox = {}
        t_bbox['horizontal'] = text_in_bbox(tk, self.horizontal_text)
        t_bbox['vertical'] = text_in_bbox(tk, self.vertical_text)
+
+        t_bbox['horizontal'].sort(key=lambda x: (-x.y0, x.x0))
+        t_bbox['vertical'].sort(key=lambda x: (x.x0, -x.y0))
+
        self.t_bbox = t_bbox

-        for direction in self.t_bbox:
-            self.t_bbox[direction].sort(key=lambda x: (-x.y0, x.x0))
-
        text_x_min, text_y_min, text_x_max, text_y_max = self._text_bbox(self.t_bbox)
-        rows_grouped = self._group_rows(self.t_bbox['horizontal'], row_close_tol=self.row_close_tol)
+        rows_grouped = self._group_rows(self.t_bbox['horizontal'], row_tol=self.row_tol)
        rows = self._join_rows(rows_grouped, text_y_max, text_y_min)
        elements = [len(r) for r in rows_grouped]

@@ -328,7 +332,7 @@ class Stream(BaseParser):
                    warnings.warn("No tables found in table area {}".format(
                        table_idx + 1))
            cols = [(t.x0, t.x1) for r in rows_grouped if len(r) == ncols for t in r]
-            cols = self._merge_columns(sorted(cols), col_close_tol=self.col_close_tol)
+            cols = self._merge_columns(sorted(cols), column_tol=self.column_tol)
            inner_text = []
            for i in range(1, len(cols)):
                left = cols[i - 1][1]
@@ -340,7 +344,7 @@ class Stream(BaseParser):
                            for t in self.t_bbox[direction]
                            if t.x0 > cols[-1][1] or t.x1 < cols[0][0]]
            inner_text.extend(outer_text)
-            cols = self._add_columns(cols, inner_text, self.row_close_tol)
+            cols = self._add_columns(cols, inner_text, self.row_tol)
            cols = self._join_columns(cols, text_x_min, text_x_max)

        return cols, rows
@@ -348,12 +352,15 @@ class Stream(BaseParser):
    def _generate_table(self, table_idx, cols, rows, **kwargs):
        table = Table(cols, rows)
        table = table.set_all_edges()
+
        pos_errors = []
-        for direction in self.t_bbox:
+        # TODO: have a single list in place of two directional ones?
+        # sorted on x-coordinate based on reading order i.e. LTR or RTL
+        for direction in ['vertical', 'horizontal']:
            for t in self.t_bbox[direction]:
                indices, error = get_table_index(
                    table, t, direction, split_text=self.split_text,
-                    flag_size=self.flag_size)
+                    flag_size=self.flag_size, strip_text=self.strip_text)
                if indices[:2] != (-1, -1):
                    pos_errors.append(error)
                    for r_idx, c_idx, text in indices:
@@ -378,12 +385,14 @@ class Stream(BaseParser):
        table._text = _text
        table._image = None
        table._segments = None
+        table._textedges = self.textedges

        return table

-    def extract_tables(self, filename):
-        self._generate_layout(filename)
-        logger.info('Processing {}'.format(os.path.basename(self.rootname)))
+    def extract_tables(self, filename, suppress_stdout=False, layout_kwargs={}):
+        self._generate_layout(filename, layout_kwargs)
+        if not suppress_stdout:
+            logger.info('Processing {}'.format(os.path.basename(self.rootname)))

        if not self.horizontal_text:
            warnings.warn("No tables found on {}".format(
@@ -33,7 +33,10 @@ class PlotMethods(object):
        if not _HAS_MPL:
            raise ImportError('matplotlib is required for plotting.')

-        if table.flavor == 'stream' and kind in ['contour', 'joint', 'line']:
+        if table.flavor == 'lattice' and kind in ['textedge']:
+            raise NotImplementedError("Lattice flavor does not support kind='{}'".format(
+                                      kind))
+        elif table.flavor == 'stream' and kind in ['joint', 'line']:
            raise NotImplementedError("Stream flavor does not support kind='{}'".format(
                                      kind))

@@ -114,20 +117,82 @@ class PlotMethods(object):
        fig : matplotlib.fig.Figure

        """
-        img, table_bbox = table._image
+        try:
+            img, table_bbox = table._image
+            _FOR_LATTICE = True
+        except TypeError:
+            img, table_bbox = (None, {table._bbox: None})
+            _FOR_LATTICE = False
        fig = plt.figure()
        ax = fig.add_subplot(111, aspect='equal')
+
+        xs, ys = [], []
+        if not _FOR_LATTICE:
+            for t in table._text:
+                xs.extend([t[0], t[2]])
+                ys.extend([t[1], t[3]])
+                ax.add_patch(
+                    patches.Rectangle(
+                        (t[0], t[1]),
+                        t[2] - t[0],
+                        t[3] - t[1],
+                        color='blue'
+                    )
+                )
+
        for t in table_bbox.keys():
            ax.add_patch(
                patches.Rectangle(
                    (t[0], t[1]),
                    t[2] - t[0],
                    t[3] - t[1],
-                    fill=None,
-                    edgecolor='red'
+                    fill=False,
+                    color='red'
                )
            )
-        ax.imshow(img)
+            if not _FOR_LATTICE:
+                xs.extend([t[0], t[2]])
+                ys.extend([t[1], t[3]])
+                ax.set_xlim(min(xs) - 10, max(xs) + 10)
+                ax.set_ylim(min(ys) - 10, max(ys) + 10)
+
+        if _FOR_LATTICE:
+            ax.imshow(img)
+        return fig
+
+    def textedge(self, table):
+        """Generates a plot for relevant textedges.
+
+        Parameters
+        ----------
+        table : camelot.core.Table
+
+        Returns
+        -------
+        fig : matplotlib.fig.Figure
+
+        """
+        fig = plt.figure()
+        ax = fig.add_subplot(111, aspect='equal')
+        xs, ys = [], []
+        for t in table._text:
+            xs.extend([t[0], t[2]])
+            ys.extend([t[1], t[3]])
+            ax.add_patch(
+                patches.Rectangle(
+                    (t[0], t[1]),
+                    t[2] - t[0],
+                    t[3] - t[1],
+                    color='blue'
+                )
+            )
+        ax.set_xlim(min(xs) - 10, max(xs) + 10)
+        ax.set_ylim(min(ys) - 10, max(ys) + 10)
+
+        for te in table._textedges:
+            ax.plot([te.x, te.x],
+                    [te.y0, te.y1])
+
        return fig

    def joint(self, table):
@@ -1,12 +1,17 @@
+# -*- coding: utf-8 -*-
 from __future__ import division
+
+import os
+import sys
+import random
 import shutil
+import string
 import tempfile
 import warnings
 from itertools import groupby
 from operator import itemgetter

 import numpy as np
-
 from pdfminer.pdfparser import PDFParser
 from pdfminer.pdfdocument import PDFDocument
 from pdfminer.pdfpage import PDFPage
@@ -18,18 +23,89 @@ from pdfminer.layout import (LAParams, LTAnno, LTChar, LTTextLineHorizontal,
                             LTTextLineVertical)


+PY3 = sys.version_info[0] >= 3
+if PY3:
+    from urllib.request import urlopen
+    from urllib.parse import urlparse as parse_url
+    from urllib.parse import uses_relative, uses_netloc, uses_params
+else:
+    from urllib2 import urlopen
+    from urlparse import urlparse as parse_url
+    from urlparse import uses_relative, uses_netloc, uses_params
+
+
+_VALID_URLS = set(uses_relative + uses_netloc + uses_params)
+_VALID_URLS.discard('')
+
+
+# https://github.com/pandas-dev/pandas/blob/master/pandas/io/common.py
+def is_url(url):
+    """Check to see if a URL has a valid protocol.
+
+    Parameters
+    ----------
+    url : str or unicode
+
+    Returns
+    -------
+    isurl : bool
+        If url has a valid protocol return True otherwise False.
+
+    """
+    try:
+        return parse_url(url).scheme in _VALID_URLS
+    except Exception:
+        return False
+
+
+def random_string(length):
+    ret = ''
+    while length:
+        ret += random.choice(string.digits + string.ascii_lowercase + string.ascii_uppercase)
+        length -= 1
+    return ret
+
+
+def download_url(url):
+    """Download file from specified URL.
+
+    Parameters
+    ----------
+    url : str or unicode
+
+    Returns
+    -------
+    filepath : str or unicode
+        Temporary filepath.
+
+    """
+    filename = '{}.pdf'.format(random_string(6))
+    with tempfile.NamedTemporaryFile('wb', delete=False) as f:
+        obj = urlopen(url)
+        if PY3:
+            content_type = obj.info().get_content_type()
+        else:
+            content_type = obj.info().getheader('Content-Type')
+        if content_type != 'application/pdf':
+            raise NotImplementedError("File format not supported")
+        f.write(obj.read())
+    filepath = os.path.join(os.path.dirname(f.name), filename)
+    shutil.move(f.name, filepath)
+    return filepath
+
+
 stream_kwargs = [
    'columns',
-    'row_close_tol',
-    'col_close_tol'
+    'row_tol',
+    'column_tol'
 ]
 lattice_kwargs = [
    'process_background',
    'line_size_scaling',
    'copy_text',
    'shift_text',
-    'line_close_tol',
-    'joint_close_tol',
+    'line_tol',
+    'joint_tol',
    'threshold_blocksize',
    'threshold_constant',
    'iterations'
@@ -281,14 +357,14 @@ def text_in_bbox(bbox, text):
    return t_bbox


-def merge_close_lines(ar, line_close_tol=2):
+def merge_close_lines(ar, line_tol=2):
    """Merges lines which are within a tolerance by calculating a
    moving mean, based on their x or y axis projections.

    Parameters
    ----------
    ar : list
-    line_close_tol : int, optional (default: 2)
+    line_tol : int, optional (default: 2)

    Returns
    -------
@@ -301,7 +377,7 @@ def merge_close_lines(ar, line_close_tol=2):
            ret.append(a)
        else:
            temp = ret[-1]
-            if np.isclose(temp, a, atol=line_close_tol):
+            if np.isclose(temp, a, atol=line_tol):
                temp = (temp + a) / 2.0
                ret[-1] = temp
            else:
@@ -309,7 +385,12 @@ def merge_close_lines(ar, line_close_tol=2):
    return ret


-def flag_font_size(textline, direction):
+# TODO: combine the following functions into a TextProcessor class which
+# applies corresponding transformations sequentially
+# (inspired from sklearn.pipeline.Pipeline)
+
+
+def flag_font_size(textline, direction, strip_text=''):
    """Flags super/subscripts in text by enclosing them with <s></s>.
    May give false positives.

@@ -319,6 +400,9 @@ def flag_font_size(textline, direction):
        List of PDFMiner LTChar objects.
    direction : string
        Direction of the PDFMiner LTTextLine object.
+    strip_text : str, optional (default: '')
+        Characters that should be stripped from a string before
+        assigning it to a cell.

    Returns
    -------
@@ -344,13 +428,13 @@ def flag_font_size(textline, direction):
                fchars = [t[0] for t in chars]
                if ''.join(fchars).strip():
                    flist.append(''.join(fchars))
-        fstring = ''.join(flist).strip('\n')
+        fstring = ''.join(flist).strip(strip_text)
    else:
-        fstring = ''.join([t.get_text() for t in textline]).strip('\n')
+        fstring = ''.join([t.get_text() for t in textline]).strip(strip_text)
    return fstring


-def split_textline(table, textline, direction, flag_size=False):
+def split_textline(table, textline, direction, flag_size=False, strip_text=''):
    """Splits PDFMiner LTTextLine into substrings if it spans across
    multiple rows/columns.

@@ -365,6 +449,9 @@ def split_textline(table, textline, direction, flag_size=False):
        Whether or not to highlight a substring using <s></s>
        if its size is different from rest of the string. (Useful for
        super and subscripts.)
+    strip_text : str, optional (default: '')
+        Characters that should be stripped from a string before
+        assigning it to a cell.

    Returns
    -------
@@ -416,14 +503,15 @@ def split_textline(table, textline, direction, flag_size=False):
    grouped_chars = []
    for key, chars in groupby(cut_text, itemgetter(0, 1)):
        if flag_size:
-            grouped_chars.append((key[0], key[1], flag_font_size([t[2] for t in chars], direction)))
+            grouped_chars.append((key[0], key[1],
+                flag_font_size([t[2] for t in chars], direction, strip_text=strip_text)))
        else:
            gchars = [t[2].get_text() for t in chars]
-            grouped_chars.append((key[0], key[1], ''.join(gchars).strip('\n')))
+            grouped_chars.append((key[0], key[1], ''.join(gchars).strip(strip_text)))
    return grouped_chars


-def get_table_index(table, t, direction, split_text=False, flag_size=False):
+def get_table_index(table, t, direction, split_text=False, flag_size=False, strip_text='',):
    """Gets indices of the table cell where given text object lies by
    comparing their y and x-coordinates.

@@ -441,6 +529,9 @@ def get_table_index(table, t, direction, split_text=False, flag_size=False):
        Whether or not to highlight a substring using <s></s>
        if its size is different from rest of the string. (Useful for
        super and subscripts)
+    strip_text : str, optional (default: '')
+        Characters that should be stripped from a string before
+        assigning it to a cell.

    Returns
    -------
@@ -495,12 +586,12 @@ def get_table_index(table, t, direction, split_text=False, flag_size=False):
    error = ((X * (y0_offset + y1_offset)) + (Y * (x0_offset + x1_offset))) / charea

    if split_text:
-        return split_textline(table, t, direction, flag_size=flag_size), error
+        return split_textline(table, t, direction, flag_size=flag_size, strip_text=strip_text), error
    else:
        if flag_size:
-            return [(r_idx, c_idx, flag_font_size(t._objs, direction))], error
+            return [(r_idx, c_idx, flag_font_size(t._objs, direction, strip_text=strip_text))], error
        else:
-            return [(r_idx, c_idx, t.get_text().strip('\n'))], error
+            return [(r_idx, c_idx, t.get_text().strip(strip_text))], error


 def compute_accuracy(error_weights):
@@ -558,7 +649,7 @@ def compute_whitespace(d):


 def get_page_layout(filename, char_margin=1.0, line_margin=0.5, word_margin=0.1,
-               detect_vertical=True, all_texts=True):
+                    detect_vertical=True, all_texts=True):
    """Returns a PDFMiner LTPage object and page dimension of a single
    page pdf. See https://euske.github.io/pdfminer/ to get definitions
    of kwargs.
@@ -0,0 +1,96 @@
+"0","1","2","3","4","5","6","7","8","9","10"
+"Sl.
+No.","District","n
+o
+i
+t
+a
+l3
+opu2-1hs)
+P1k
+d 20 la
+er n
+cto(I
+ef
+j
+o
+r
+P","%
+8
+8
+o )
+s
+ult t  tkh
+dna
+Aalen l
+v(I
+i
+u
+q
+E",")
+y
+n a
+umptiomentadult/donnes)
+nsres/h t
+ouimk
+Cqga
+al re00n L
+ot  4(I
+T @
+(","menteds, age)nes)
+uireg sewastton
+qn h 
+Reudis &ak
+al cld L
+tnen
+To(Ife(I","","","","",""
+"","","","","","","f
+i
+r
+a
+h
+K","i
+b
+a
+R","l
+a
+t
+o
+T","e
+c
+i
+R","y
+d
+d
+a
+P"
+"1","Balasore","23.65","20.81","3.04","3.47","2.78","0.86","3.64","0.17","0.25"
+"2","Bhadrak","15.34","13.50","1.97","2.25","3.50","0.05","3.55","1.30","1.94"
+"3","Balangir","17.01","14.97","2.19","2.50","6.23","0.10","6.33","3.83","5.72"
+"4","Subarnapur","6.70","5.90","0.86","0.98","4.48","1.13","5.61","4.63","6.91"
+"5","Cuttack","26.63","23.43","3.42","3.91","3.75","0.06","3.81","-0.10","-0.15"
+"6","Jagatsingpur","11.49","10.11","1.48","1.69","2.10","0.02","2.12","0.43","0.64"
+"7","Jajpur","18.59","16.36","2.39","2.73","2.13","0.04","2.17","-0.56","-0.84"
+"8","Kendrapara","14.62","12.87","1.88","2.15","2.60","0.07","2.67","0.52","0.78"
+"9","Dhenkanal","12.13","10.67","1.56","1.78","2.26","0.02","2.28","0.50","0.75"
+"10","Angul","12.93","11.38","1.66","1.90","1.73","0.02","1.75","-0.15","-0.22"
+"11","Ganjam","35.77","31.48","4.60","5.26","4.57","0.00","4.57","-0.69","-1.03"
+"12","Gajapati","5.85","5.15","0.75","0.86","0.68","0.01","0.69","-0.17","-0.25"
+"13","Kalahandi","16.12","14.19","2.07","2.37","5.42","1.13","6.55","4.18","6.24"
+"14","Nuapada","6.18","5.44","0.79","0.90","1.98","0.08","2.06","1.16","1.73"
+"15","Keonjhar","18.42","16.21","2.37","2.71","2.76","0.08","2.84","0.13","0.19"
+"16","Koraput","14.09","12.40","1.81","2.07","2.08","0.34","2.42","0.35","0.52"
+"17","Malkangiri","6.31","5.55","0.81","0.93","1.78","0.04","1.82","0.89","1.33"
+"18","Nabarangpur","12.50","11.00","1.61","1.84","3.26","0.02","3.28","1.44","2.15"
+"19","Rayagada","9.83","8.65","1.26","1.44","1.15","0.03","1.18","-0.26","-0.39"
+"20","Mayurbhanj","25.61","22.54","3.29","3.76","4.90","0.06","4.96","1.20","1.79"
+"21","Kandhamal","7.45","6.56","0.96","1.10","0.70","0.01","0.71","-0.39","-0.58"
+"22","Boudh","4.51","3.97","0.58","0.66","1.73","0.03","1.76","1.10","1.64"
+"23","Puri","17.29","15.22","2.22","2.54","2.45","0.99","3.44","0.90","1.34"
+"24","Khordha","23.08","20.31","2.97","3.39","2.02","0.03","2.05","-1.34","-2.00"
+"25","Nayagarh","9.78","8.61","1.26","1.44","2.10","0.00","2.10","0.66","0.99"
+"26","Sambalpur","10.62","9.35","1.37","1.57","3.45","0.71","4.16","2.59","3.87"
+"27","Bargarh","15.00","13.20","1.93","2.21","6.87","2.65","9.52","7.31","10.91"
+"28","Deogarh","3.18","2.80","0.41","0.47","1.12","0.07","1.19","0.72","1.07"
+"29","Jharsuguda","5.91","5.20","0.76","0.87","0.99","0.01","1.00","0.13","0.19"
+"30","","","18.66","2.72","3.11","4.72","0.02","4.74","1.63","2.43"
@@ -0,0 +1,56 @@
+"0","1","2","3","4","5","6","7"
+"Rate of Accidental Deaths & Suicides and Population Growth During 1967 to 2013","","","","","","",""
+"Sl. 
+No.","Year","Population 
+(in Lakh)","Accidental Deaths","","Suicides","","Percentage 
+Population 
+growth"
+"","","","Incidence","Rate","Incidence","Rate",""
+"(1)","(2)","(3)","(4)","(5)","(6)","(7)","(8)"
+"1.","1967","4999","126762","25.4","38829","7.8","2.2"
+"2.","1968","5111","126232","24.7","40688","8.0","2.2"
+"3.","1969","5225","130755","25.0","43633","8.4","2.2"
+"4.","1970","5343","139752","26.2","48428","9.1","2.3"
+"5.","1971","5512","105601","19.2","43675","7.9","3.2"
+"6.","1972","5635","106184","18.8","43601","7.7","2.2"
+"7.","1973","5759","130654","22.7","40807","7.1","2.2"
+"8.","1974","5883","110624","18.8","46008","7.8","2.2"
+"9.","1975","6008","113016","18.8","42890","7.1","2.1"
+"10.","1976","6136","111611","18.2","41415","6.7","2.1"
+"11.","1977","6258","117338","18.8","39718","6.3","2.0"
+"12.","1978","6384","118594","18.6","40207","6.3","2.0"
+"13.","1979","6510","108987","16.7","38217","5.9","2.0"
+"14.","1980","6636","116912","17.6","41663","6.3","1.9"
+"15.","1981","6840","122221","17.9","40245","5.9","3.1"
+"16.","1982","7052","125993","17.9","44732","6.3","3.1"
+"17.","1983","7204","128576","17.8","46579","6.5","2.2"
+"18.","1984","7356","134628","18.3","50571","6.9","2.1"
+"19.","1985","7509","139657","18.6","52811","7.0","2.1"
+"20.","1986","7661","147023","19.2","54357","7.1","2.0"
+"21.","1987","7814","152314","19.5","58568","7.5","2.0"
+"22.","1988","7966","163522","20.5","64270","8.1","1.9"
+"23.","1989","8118","169066","20.8","68744","8.5","1.9"
+"24.","1990","8270","174401","21.1","73911","8.9","1.9"
+"25.","1991","8496","188003","22.1","78450","9.2","2.7"
+"26.","1992","8677","194910","22.5","80149","9.2","2.1"
+"27.","1993","8838","192357","21.8","84244","9.5","1.9"
+"28.","1994","8997","190435","21.2","89195","9.9","1.8"
+"29.","1995","9160","222487","24.3","89178","9.7","1.8"
+"30.","1996","9319","220094","23.6","88241","9.5","1.7"
+"31.","1997","9552","233903","24.5","95829","10.0","2.5"
+"32.","1998","9709","258409","26.6","104713","10.8","1.6"
+"33.","1999","9866","271918","27.6","110587","11.2","1.6"
+"34.","2000","10021","255883","25.5","108593","10.8","1.6"
+"35.","2001","10270","271019","26.4","108506","10.6","2.5"
+"36.","2002","10506","260122","24.8","110417","10.5","2.3"
+"37.","2003","10682","259625","24.3","110851","10.4","1.7"
+"38.","2004","10856","277263","25.5","113697","10.5","1.6"
+"39.","2005","11028","294175","26.7","113914","10.3","1.6"
+"40.","2006","11198","314704","28.1","118112","10.5","1.5"
+"41.","2007","11366","340794","30.0","122637","10.8","1.5"
+"42.","2008","11531","342309","29.7","125017","10.8","1.4"
+"43.","2009","11694","357021","30.5","127151","10.9","1.4"
+"44.","2010","11858","384649","32.4","134599","11.4","1.4"
+"45.","2011","12102","390884","32.3","135585","11.2","2.1"
+"46.","2012","12134","394982","32.6","135445","11.2","1.0"
+"47.","2013","12288","400517","32.6","134799","11.0","1.0"
@@ -0,0 +1,18 @@
+"0","1","2"
+"","e
+bl
+a
+ail
+v
+a
+ 
+t
+o
+n
+ 
+a
+t
+a
+D
+ 
+*",""
@@ -0,0 +1,3 @@
+"0"
+"Sl."
+"No."
@@ -0,0 +1,3 @@
+"0"
+"Table 6 : DISTRIBUTION (%) OF HOUSEHOLDS BY LITERACY STATUS OF"
+"MALE HEAD OF THE HOUSEHOLD"
@@ -1,3 +1,7 @@
+"[In thousands (11,062.6 represents 11,062,600) For year ending December 31. Based on Uniform Crime Reporting (UCR)","","","","","","","","",""
+"Program. Represents arrests reported (not charged) by 12,910 agencies with a total population of 247,526,916 as estimated","","","","","","","","",""
+"by the FBI. Some persons may be arrested more than once during a year, therefore, the data in this table, in some cases,","","","","","","","","",""
+"could represent multiple arrests of the same person. See text, this section and source]","","","","","","","","",""
 "","","Total","","","Male","","","Female",""
 "Offense charged","","Under 18","18 years","","Under 18","18 years","","Under 18","18 years"
 "","Total","years","and over","Total","years","and over","Total","years","and over"
@@ -36,3 +40,4 @@
 "Curfew and loitering law violations  ..","91.0","91.0","(X)","63.1","63.1","(X)","28.0","28.0","(X)"
 "Runaways  . . . . . . . .. .. .. .. .. ....","75.8","75.8","(X)","34.0","34.0","(X)","41.8","41.8","(X)"
 "","– Represents zero. X Not applicable. 1 Buying, receiving, possessing stolen property. 2 Except forcible rape and prostitution.","","","","","","","",""
+"","Source: U.S. Department of Justice, Federal Bureau of Investigation, Uniform Crime Reports, Arrests Master Files.","","","","","","","",""
@@ -1,3 +1,7 @@
+"","Source: U.S. Department of Justice, Federal Bureau of Investigation, Uniform Crime Reports, Arrests Master Files.","","","",""
+"Table 325. Arrests by Race: 2009","","","","",""
+"[Based on Uniform Crime Reporting (UCR) Program. Represents arrests reported (not charged) by 12,371 agencies","","","","",""
+"with a total population of 239,839,971 as estimated by the FBI. See headnote, Table 324]","","","","",""
 "","","","","American",""
 "Offense charged","","","","Indian/Alaskan","Asian Pacific"
 "","Total","White","Black","Native","Islander"
@@ -34,3 +38,4 @@
 "Curfew and loitering law violations  . .. ... .. ....","89,578","54,439","33,207","872","1,060"
 "Runaways  . . . . . . . .. .. .. .. .. .. .... .. ..... .","73,616","48,343","19,670","1,653","3,950"
 "1 Except forcible rape and prostitution.","","","","",""
+"","Source: U.S. Department of Justice, Federal Bureau of Investigation, “Crime in the United States, Arrests,” September 2010,","","","",""
@@ -1,35 +1,43 @@
-"","","","","","SCN","Seed","Yield","Moisture","Lodgingg","g","Stand","","Gross"
-"Company/Brandpy","","Product/Brand†","Technol.†","Mat.","Resist.","Trmt.†","Bu/A","%","%","","(x 1000)(",")","Income"
-"KrugerKruger","","K2-1901K2 1901","RR2YRR2Y","1.91.9","RR","Ac,PVAc,PV","56.456.4","7.67.6","00","","126.3126.3","","$846$846"
-"StineStine","","19RA02 §19RA02 §","RR2YRR2Y","1 91.9","RR","CMBCMB","55.355.3","7 67.6","00","","120 0120.0","","$830$830"
-"WensmanWensman","","W 3190NR2W 3190NR2","RR2YRR2Y","1 91.9","RR","AcAc","54 554.5","7 67.6","00","","119 5119.5","","$818$818"
-"H ftHefty","","H17Y12H17Y12","RR2YRR2Y","1 71.7","MRMR","II","53 753.7","7 77.7","00","","124 4124.4","","$806$806"
-"Dyna-Gro","","S15RY53","RR2Y","1.5","R","Ac","53.6","7.7","0","","126.8","","$804"
-"LG SeedsLG Seeds","","C2050R2C2050R2","RR2YRR2Y","2.12.1","RR","AcAc","53.653.6","7.77.7","00","","123.9123.9","","$804$804"
-"Titan ProTitan Pro","","19M4219M42","RR2YRR2Y","1.91.9","RR","CMBCMB","53.653.6","7.77.7","00","","121.0121.0","","$804$804"
-"StineStine","","19RA02 (2) §19RA02 (2) §","RR2YRR2Y","1 91.9","RR","CMBCMB","53 453.4","7 77.7","00","","123 9123.9","","$801$801"
-"AsgrowAsgrow","","AG1832 §AG1832 §","RR2YRR2Y","1 81.8","MRMR","Ac PVAc,PV","52 952.9","7 77.7","00","","122 0122.0","","$794$794"
-"Prairie Brandiid","","PB-1566R2662","RR2Y2","1.5","R","CMB","52.8","7.7","0","","122.9","","$792$"
-"Channel","","1901R2","RR2Y","1.9","R","Ac,PV,","52.8","7.6","0","","123.4","","$791$"
-"Titan ProTitan Pro","","20M120M1","RR2YRR2Y","2.02.0","RR","AmAm","52.552.5","7.57.5","00","","124.4124.4","","$788$788"
-"KrugerKruger","","K2-2002K2-2002","RR2YRR2Y","2 02.0","RR","Ac PVAc,PV","52 452.4","7 97.9","00","","125 4125.4","","$786$786"
-"ChannelChannel","","1700R21700R2","RR2YRR2Y","1 71.7","RR","Ac PVAc,PV","52 352.3","7 97.9","00","","123 9123.9","","$784$784"
-"H ftHefty","","H16Y11H16Y11","RR2YRR2Y","1 61.6","MRMR","II","51 451.4","7 67.6","00","","123 9123.9","","$771$771"
-"Anderson","","162R2Y","RR2Y","1.6","R","None","51.3","7.5","0","","119.5","","$770"
-"Titan ProTitan Pro","","15M2215M22","RR2YRR2Y","1.51.5","RR","CMBCMB","51.351.3","7.87.8","00","","125.4125.4","","$769$769"
-"DairylandDairyland","","DSR-1710R2YDSR-1710R2Y","RR2YRR2Y","1 71.7","RR","CMBCMB","51 351.3","7 77.7","00","","122 0122.0","","$769$769"
-"HeftyHefty","","H20R3H20R3","RR2YRR2Y","2 02.0","MRMR","II","50 550.5","8 28.2","00","","121 0121.0","","$757$757"
-"PPrairie BrandiiBd","","PB 1743R2PB-1743R2","RR2YRR2Y","1 71.7","RR","CMBCMB","50 250.2","7 77.7","00","","125 8125.8","","$752$752"
-"Gold Country","","1741","RR2Y","1.7","R","Ac","50.1","7.8","0","","123.9","","$751"
-"Trelaye ay","","20RR4303","RR2Y","2.00","R","Ac,Exc,","49.99 9","7.66","00","","127.88","","$749$9"
-"HeftyHefty","","H14R3H14R3","RR2YRR2Y","1.41.4","MRMR","II","49.749.7","7.77.7","00","","122.9122.9","","$746$746"
-"Prairie BrandPrairie Brand","","PB-2099NRR2PB-2099NRR2","RR2YRR2Y","2 02.0","RR","CMBCMB","49 649.6","7 87.8","00","","126 3126.3","","$743$743"
-"WensmanWensman","","W 3174NR2W 3174NR2","RR2YRR2Y","1 71.7","RR","AcAc","49 349.3","7 67.6","00","","122 5122.5","","$740$740"
-"KKruger","","K2 1602K2-1602","RR2YRR2Y","1 61.6","R","Ac,PV","48.78","7.66","00","","125.412","","$731$31"
-"NK Brand","","S18-C2 §§","RR2Y","1.8","R","CMB","48.7","7.7","0","","126.8","","$731$"
-"KrugerKruger","","K2-1902K2 1902","RR2YRR2Y","1.91.9","RR","Ac,PVAc,PV","48.748.7","7.57.5","00","","124.4124.4","","$730$730"
-"Prairie BrandPrairie Brand","","PB-1823R2PB-1823R2","RR2YRR2Y","1 81.8","RR","NoneNone","48 548.5","7 67.6","00","","121 0121.0","","$727$727"
-"Gold CountryGold Country","","15411541","RR2YRR2Y","1 51.5","RR","AcAc","48 448.4","7 67.6","00","","110 4110.4","","$726$726"
-"","","","","","","Test Average  =","47 647.6","7 77.7","00","","122 9122.9","","$713$713"
-"","","","","","","LSD (0.10)  =","5.7","0.3","ns","","37.8","","566.4"
-"","F.I.R.S.T. Managerg","","","","","C.V.  =","8.8","2.9","","","56.4","","846.2"
+"","2012 BETTER VARIETIES Harvest Report for Minnesota Central  [ MNCE ]2012 BETTER VARIETIES Harvest Report for Minnesota Central  [ MNCE ]","","","","","","","","","","","","ALL SEASON TESTALL SEASON TEST",""
+"","Doug Toreen, Renville County, MN 55310          [ BIRD ISLAND ]Doug Toreen, Renville County, MN 55310","","","","","[ BIRD ISLAND ]","","","","","","","1.3 - 2.0 MAT. GROUP1.3 - 2.0 MAT. GROUP",""
+"PREVPREV. CROP/HERB:","CROP/HERB","C/ S","Corn / Surpass, RoundupR","d","","","","","","","","","","S2MNCE01S2MNCE01"
+"SOIL DESCRIPTION:","","C","Canisteo clay loam, mod. well drained, non-irrigated","","","","","","","","","","",""
+"SOIL CONDITIONS:","","","High P, high K, 6.7 pH, 3.9% OM, Low SCN","","","","","","","","","","","30"" ROW SPACING"
+"TILLAGE/CULTIVATION:TILLAGE/CULTIVATION:","","","conventional w/ fall tillconventional w/ fall till","","","","","","","","","","",""
+"PEST MANAGEMENT:PEST MANAGEMENT:","","Roundup twiceRoundup twice","","","","","","","","","","","",""
+"SEEDED - RATE:","","May 15M15","140,000 /A140 000 /A","","","","","","","","TOP 30 foTOP 30 for YIELD of 63 TESTED","","YIELD of 63 TESTED",""
+"HARVESTEDHARVESTED - STAND:","STAND","O t 3Oct 3","122 921 /A122,921 /A","","","","","","","","","AVERAGE of (3) REPLICATIONSAVERAGE of (3) REPLICATIONS","",""
+"","","","","","","SCN","Seed","Yield","Moisture","Lodgingg","g","Stand","","Gross"
+"","Company/Brandpy","Product/Brand†","","Technol.†","Mat.","Resist.","Trmt.†","Bu/A","%","%","","(x 1000)(",")","Income"
+"","KrugerKruger","K2-1901K2 1901","","RR2YRR2Y","1.91.9","RR","Ac,PVAc,PV","56.456.4","7.67.6","00","","126.3126.3","","$846$846"
+"","StineStine","19RA02 §19RA02 §","","RR2YRR2Y","1 91.9","RR","CMBCMB","55.355.3","7 67.6","00","","120 0120.0","","$830$830"
+"","WensmanWensman","W 3190NR2W 3190NR2","","RR2YRR2Y","1 91.9","RR","AcAc","54 554.5","7 67.6","00","","119 5119.5","","$818$818"
+"","H ftHefty","H17Y12H17Y12","","RR2YRR2Y","1 71.7","MRMR","II","53 753.7","7 77.7","00","","124 4124.4","","$806$806"
+"","Dyna-Gro","S15RY53","","RR2Y","1.5","R","Ac","53.6","7.7","0","","126.8","","$804"
+"","LG SeedsLG Seeds","C2050R2C2050R2","","RR2YRR2Y","2.12.1","RR","AcAc","53.653.6","7.77.7","00","","123.9123.9","","$804$804"
+"","Titan ProTitan Pro","19M4219M42","","RR2YRR2Y","1.91.9","RR","CMBCMB","53.653.6","7.77.7","00","","121.0121.0","","$804$804"
+"","StineStine","19RA02 (2) §19RA02 (2) §","","RR2YRR2Y","1 91.9","RR","CMBCMB","53 453.4","7 77.7","00","","123 9123.9","","$801$801"
+"","AsgrowAsgrow","AG1832 §AG1832 §","","RR2YRR2Y","1 81.8","MRMR","Ac PVAc,PV","52 952.9","7 77.7","00","","122 0122.0","","$794$794"
+"","Prairie Brandiid","PB-1566R2662","","RR2Y2","1.5","R","CMB","52.8","7.7","0","","122.9","","$792$"
+"","Channel","1901R2","","RR2Y","1.9","R","Ac,PV,","52.8","7.6","0","","123.4","","$791$"
+"","Titan ProTitan Pro","20M120M1","","RR2YRR2Y","2.02.0","RR","AmAm","52.552.5","7.57.5","00","","124.4124.4","","$788$788"
+"","KrugerKruger","K2-2002K2-2002","","RR2YRR2Y","2 02.0","RR","Ac PVAc,PV","52 452.4","7 97.9","00","","125 4125.4","","$786$786"
+"","ChannelChannel","1700R21700R2","","RR2YRR2Y","1 71.7","RR","Ac PVAc,PV","52 352.3","7 97.9","00","","123 9123.9","","$784$784"
+"","H ftHefty","H16Y11H16Y11","","RR2YRR2Y","1 61.6","MRMR","II","51 451.4","7 67.6","00","","123 9123.9","","$771$771"
+"","Anderson","162R2Y","","RR2Y","1.6","R","None","51.3","7.5","0","","119.5","","$770"
+"","Titan ProTitan Pro","15M2215M22","","RR2YRR2Y","1.51.5","RR","CMBCMB","51.351.3","7.87.8","00","","125.4125.4","","$769$769"
+"","DairylandDairyland","DSR-1710R2YDSR-1710R2Y","","RR2YRR2Y","1 71.7","RR","CMBCMB","51 351.3","7 77.7","00","","122 0122.0","","$769$769"
+"","HeftyHefty","H20R3H20R3","","RR2YRR2Y","2 02.0","MRMR","II","50 550.5","8 28.2","00","","121 0121.0","","$757$757"
+"","PPrairie BrandiiBd","PB 1743R2PB-1743R2","","RR2YRR2Y","1 71.7","RR","CMBCMB","50 250.2","7 77.7","00","","125 8125.8","","$752$752"
+"","Gold Country","1741","","RR2Y","1.7","R","Ac","50.1","7.8","0","","123.9","","$751"
+"","Trelaye ay","20RR4303","","RR2Y","2.00","R","Ac,Exc,","49.99 9","7.66","00","","127.88","","$749$9"
+"","HeftyHefty","H14R3H14R3","","RR2YRR2Y","1.41.4","MRMR","II","49.749.7","7.77.7","00","","122.9122.9","","$746$746"
+"","Prairie BrandPrairie Brand","PB-2099NRR2PB-2099NRR2","","RR2YRR2Y","2 02.0","RR","CMBCMB","49 649.6","7 87.8","00","","126 3126.3","","$743$743"
+"","WensmanWensman","W 3174NR2W 3174NR2","","RR2YRR2Y","1 71.7","RR","AcAc","49 349.3","7 67.6","00","","122 5122.5","","$740$740"
+"","KKruger","K2 1602K2-1602","","RR2YRR2Y","1 61.6","R","Ac,PV","48.78","7.66","00","","125.412","","$731$31"
+"","NK Brand","S18-C2 §§","","RR2Y","1.8","R","CMB","48.7","7.7","0","","126.8","","$731$"
+"","KrugerKruger","K2-1902K2 1902","","RR2YRR2Y","1.91.9","RR","Ac,PVAc,PV","48.748.7","7.57.5","00","","124.4124.4","","$730$730"
+"","Prairie BrandPrairie Brand","PB-1823R2PB-1823R2","","RR2YRR2Y","1 81.8","RR","NoneNone","48 548.5","7 67.6","00","","121 0121.0","","$727$727"
+"","Gold CountryGold Country","15411541","","RR2YRR2Y","1 51.5","RR","AcAc","48 448.4","7 67.6","00","","110 4110.4","","$726$726"
+"","","","","","","","Test Average  =","47 647.6","7 77.7","00","","122 9122.9","","$713$713"
+"","","","","","","","LSD (0.10)  =","5.7","0.3","ns","","37.8","","566.4"
@@ -0,0 +1,39 @@
+"TILLAGE/CULTIVATION:TILLAGE/CULTIVATION:","","conventional w/ fall tillconventional w/ fall till","","","","","","","","","","",""
+"PEST MANAGEMENT:PEST MANAGEMENT:","","Roundup twiceRoundup twice","","","","","","","","","","",""
+"SEEDED - RATE:","","May 15M15","140,000 /A140 000 /A","","","","","","","TOP 30 foTOP 30 for YIELD of 63 TESTED","","YIELD of 63 TESTED",""
+"HARVESTEDHARVESTED - STAND:STAND","","O t 3Oct 3","122 921 /A122,921 /A","","","","","","","","AVERAGE of (3) REPLICATIONSAVERAGE of (3) REPLICATIONS","",""
+"","","","","","SCN","Seed","Yield","Moisture","Lodgingg","g","Stand","","Gross"
+"Company/Brandpy","","Product/Brand†","Technol.†","Mat.","Resist.","Trmt.†","Bu/A","%","%","","(x 1000)(",")","Income"
+"KrugerKruger","","K2-1901K2 1901","RR2YRR2Y","1.91.9","RR","Ac,PVAc,PV","56.456.4","7.67.6","00","","126.3126.3","","$846$846"
+"StineStine","","19RA02 §19RA02 §","RR2YRR2Y","1 91.9","RR","CMBCMB","55.355.3","7 67.6","00","","120 0120.0","","$830$830"
+"WensmanWensman","","W 3190NR2W 3190NR2","RR2YRR2Y","1 91.9","RR","AcAc","54 554.5","7 67.6","00","","119 5119.5","","$818$818"
+"H ftHefty","","H17Y12H17Y12","RR2YRR2Y","1 71.7","MRMR","II","53 753.7","7 77.7","00","","124 4124.4","","$806$806"
+"Dyna-Gro","","S15RY53","RR2Y","1.5","R","Ac","53.6","7.7","0","","126.8","","$804"
+"LG SeedsLG Seeds","","C2050R2C2050R2","RR2YRR2Y","2.12.1","RR","AcAc","53.653.6","7.77.7","00","","123.9123.9","","$804$804"
+"Titan ProTitan Pro","","19M4219M42","RR2YRR2Y","1.91.9","RR","CMBCMB","53.653.6","7.77.7","00","","121.0121.0","","$804$804"
+"StineStine","","19RA02 (2) §19RA02 (2) §","RR2YRR2Y","1 91.9","RR","CMBCMB","53 453.4","7 77.7","00","","123 9123.9","","$801$801"
+"AsgrowAsgrow","","AG1832 §AG1832 §","RR2YRR2Y","1 81.8","MRMR","Ac PVAc,PV","52 952.9","7 77.7","00","","122 0122.0","","$794$794"
+"Prairie Brandiid","","PB-1566R2662","RR2Y2","1.5","R","CMB","52.8","7.7","0","","122.9","","$792$"
+"Channel","","1901R2","RR2Y","1.9","R","Ac,PV,","52.8","7.6","0","","123.4","","$791$"
+"Titan ProTitan Pro","","20M120M1","RR2YRR2Y","2.02.0","RR","AmAm","52.552.5","7.57.5","00","","124.4124.4","","$788$788"
+"KrugerKruger","","K2-2002K2-2002","RR2YRR2Y","2 02.0","RR","Ac PVAc,PV","52 452.4","7 97.9","00","","125 4125.4","","$786$786"
+"ChannelChannel","","1700R21700R2","RR2YRR2Y","1 71.7","RR","Ac PVAc,PV","52 352.3","7 97.9","00","","123 9123.9","","$784$784"
+"H ftHefty","","H16Y11H16Y11","RR2YRR2Y","1 61.6","MRMR","II","51 451.4","7 67.6","00","","123 9123.9","","$771$771"
+"Anderson","","162R2Y","RR2Y","1.6","R","None","51.3","7.5","0","","119.5","","$770"
+"Titan ProTitan Pro","","15M2215M22","RR2YRR2Y","1.51.5","RR","CMBCMB","51.351.3","7.87.8","00","","125.4125.4","","$769$769"
+"DairylandDairyland","","DSR-1710R2YDSR-1710R2Y","RR2YRR2Y","1 71.7","RR","CMBCMB","51 351.3","7 77.7","00","","122 0122.0","","$769$769"
+"HeftyHefty","","H20R3H20R3","RR2YRR2Y","2 02.0","MRMR","II","50 550.5","8 28.2","00","","121 0121.0","","$757$757"
+"PPrairie BrandiiBd","","PB 1743R2PB-1743R2","RR2YRR2Y","1 71.7","RR","CMBCMB","50 250.2","7 77.7","00","","125 8125.8","","$752$752"
+"Gold Country","","1741","RR2Y","1.7","R","Ac","50.1","7.8","0","","123.9","","$751"
+"Trelaye ay","","20RR4303","RR2Y","2.00","R","Ac,Exc,","49.99 9","7.66","00","","127.88","","$749$9"
+"HeftyHefty","","H14R3H14R3","RR2YRR2Y","1.41.4","MRMR","II","49.749.7","7.77.7","00","","122.9122.9","","$746$746"
+"Prairie BrandPrairie Brand","","PB-2099NRR2PB-2099NRR2","RR2YRR2Y","2 02.0","RR","CMBCMB","49 649.6","7 87.8","00","","126 3126.3","","$743$743"
+"WensmanWensman","","W 3174NR2W 3174NR2","RR2YRR2Y","1 71.7","RR","AcAc","49 349.3","7 67.6","00","","122 5122.5","","$740$740"
+"KKruger","","K2 1602K2-1602","RR2YRR2Y","1 61.6","R","Ac,PV","48.78","7.66","00","","125.412","","$731$31"
+"NK Brand","","S18-C2 §§","RR2Y","1.8","R","CMB","48.7","7.7","0","","126.8","","$731$"
+"KrugerKruger","","K2-1902K2 1902","RR2YRR2Y","1.91.9","RR","Ac,PVAc,PV","48.748.7","7.57.5","00","","124.4124.4","","$730$730"
+"Prairie BrandPrairie Brand","","PB-1823R2PB-1823R2","RR2YRR2Y","1 81.8","RR","NoneNone","48 548.5","7 67.6","00","","121 0121.0","","$727$727"
+"Gold CountryGold Country","","15411541","RR2YRR2Y","1 51.5","RR","AcAc","48 448.4","7 67.6","00","","110 4110.4","","$726$726"
+"","","","","","","Test Average  =","47 647.6","7 77.7","00","","122 9122.9","","$713$713"
+"","","","","","","LSD (0.10)  =","5.7","0.3","ns","","37.8","","566.4"
+"","F.I.R.S.T. Managerg","","","","","C.V.  =","8.8","2.9","","","56.4","","846.2"
@@ -0,0 +1,66 @@
+"0","1","2","3","4"
+"","DLHS-4 (2012-13)","","DLHS-3 (2007-08)",""
+"Indicators","TOTAL","RURAL","TOTAL","RURAL"
+"Child feeding practices (based on last-born child in the reference period) (%)","","","",""
+"Children age 0-5 months exclusively breastfed9 ..........................................................................  76.9  80.0 
+Children age 6-9 months receiving solid/semi-solid food and breast milk ....................................  78.6  75.0 
+Children age 12-23 months receiving breast feeding along with complementary feeding ...........  31.8  24.2   
+Children age 6-35 months exclusively breastfed for at least 6 months ........................................  4.7  3.4 
+Children under 3 years breastfed within one hour of birth ............................................................  42.9  46.5","","","NA","NA"
+"","","","85.9","89.3"
+"","","","NA","NA"
+"","","","30.0","27.7"
+"","","","50.6","52.9"
+"Birth Weight (%) (age below 36 months)","","","",""
+"Percentage of Children weighed at birth ......................................................................................  38.8  41.0  NA  NA 
+Percentage of Children with low birth weight (out of those who weighted) ( below 2.5 kg) .........  12.8  14.6  NA  NA","","","",""
+"Awareness about Diarrhoea (%)","","","",""
+"Women know about  what to do when a child gets  diarrhoea .....................................................  96.3  96.2","","","94.4","94.2"
+"Awareness about ARI (%)","","","",""
+"Women aware about danger signs of ARI10 .................................................................................  55.9  59.7","","","32.8","34.7"
+"Treatment of childhood diseases (based on last two surviving children born during the","","","",""
+"","","","",""
+"reference period) (%)","","","",""
+"","","","",""
+"Prevalence of diarrhoea in last 2 weeks for under 5 years old children .......................................  1.6  1.3  6.5  7.0 
+Children with diarrhoea in the last 2 weeks and received ORS11 .................................................  100.0  100.0  54.8  53.3 
+Children with diarrhoea in the last 2 weeks and sought advice/treatment ...................................  100.0  50.0  72.9  73.3 
+Prevalence of ARI in last 2 weeks for under 5 years old children ............................................   4.3  3.9  3.9  4.2 
+Children with acute respiratory infection or fever in last 2 weeks and sought advice/treatment  37.5  33.3  69.8  68.0 
+Children with diarrhoea in the last 2 weeks given Zinc along with ORS ......................................  66.6  50.0  NA  NA","","","6.5","7.0"
+"","","","54.8","53.3"
+"","","","72.9","73.3"
+"","","","3.9","4.2"
+"","","","69.8","68.0"
+"Awareness of RTI/STI and HIV/AIDS (%)","","","",""
+"Women who have heard of RTI/STI .............................................................................................  55.8  57.1 
+Women who have heard of HIV/AIDS ..........................................................................................  98.9  99.0 
+Women who have any symptoms of RTI/STI  ..............................................................................  13.9  13.5 
+Women who know the place to go for testing of HIV/AIDS12 .......................................................  59.9  57.1 
+Women underwent test for detecting HIV/AIDS12 ........................................................................  37.3  36.8","","","34.8","38.2"
+"","","","98.3","98.1"
+"","","","15.6","16.1"
+"","","","48.6","46.3"
+"","","","14.1","12.3"
+"Utilization of Government Health Services (%)","","","",""
+"Antenatal care ..............................................................................................................................  69.7  66.7  79.0  81.0 
+Treatment for pregnancy complications .......................................................................................  57.1  59.3  88.0  87.8 
+Treatment for post-delivery complications ...................................................................................  33.3  33.3  68.4  68.4 
+Treatment for vaginal discharge ...................................................................................................  20.0  25.0  73.9  71.4 
+Treatment for children with diarrhoea13 ........................................................................................  50.0  100.0  NA  NA 
+Treatment for children with ARI13 .................................................................................................  NA  NA  NA  NA","","","79.0","81.0"
+"","","","88.0","87.8"
+"","","","68.4","68.4"
+"","","","73.9","71.4"
+"Birth Registration (%)","","","",""
+"Children below age 5 years having birth registration done ..........................................................  40.6  44.3  NA  NA 
+Children below age 5 years who received birth certificate (out of those registered) ....................  65.9  63.6  NA  NA","","","",""
+"Personal Habits (age 15 years and above) (%)","","","",""
+"Men who use any kind of smokeless tobacco  .............................................................................  74.6  74.2  NA  NA 
+Women who use any kind of smokeless tobacco ........................................................................  59.5  58.9  NA  NA 
+Men who smoke ...........................................................................................................................  56.0  56.4  NA  NA 
+Women who smoke ......................................................................................................................  18.4  18.0  NA  NA 
+Men who consume alcohol ...........................................................................................................  58.4  58.2  NA  NA 
+Women who consume alcohol .....................................................................................................  10.9  9.3  NA  NA","","","",""
+"9 Children Who were given nothing but breast milk till the survey date  10Acute Respiratory Infections11Oral Rehydration Solutions/Salts.12Based on","","","",""
+"the women who have heard of HIV/AIDS.13 Last two weeks","","","",""
@@ -0,0 +1,44 @@
+"0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17","18","19","20","21","22","23"
+"","Table: 5            Public Health Outlay 2012-13 (Budget Estimates)        (Rs. in 000)","","","","","","","","","","","","","","","","","","","","","",""
+"","States-A","","","Revenue","","","","","","Capital","","","","","","Total","","","Others(1)","","","Total",""
+"","","","","","","","","","","","","","","","","Revenue &","","","","","","",""
+"","","","Medical &  Family  Medical &  Family 
+Public  Welfare  Public  Welfare 
+Health  Health","","","","","","","","","","","","","","","","","","","",""
+"","","","","","","","","","","","","","","","","Capital","","","","","","",""
+"","","","","","","","","","","","","","","","","","","","","","","",""
+"","Andhra Pradesh","","","47,824,589","","","9,967,837","","","1,275,000","","","15,000","","","59,082,426","","","14,898,243","","","73,980,669",""
+"","","","","","","","","","","","","","","","","","","","","","","",""
+"Arunachal Pradesh   2,241,609  107,549  23,000  0  2,372,158  86,336  2,458,494","","","","","","","","","","","","","","","","","","","","","","",""
+"","Assam","","","14,874,821","","","2,554,197","","","161,600","","","0","","","17,590,618","","","4,408,505","","","21,999,123",""
+"","","","","","","","","","","","","","","","","","","","","","","",""
+"Bihar   21,016,708  4,332,141  5,329,000  0  30,677,849  2,251,571  32,929,420","","","","","","","","","","","","","","","","","","","","","","",""
+"","Chhattisgarh","","","11,427,311","","","1,415,660","","","2,366,592","","","0","","","15,209,563","","","311,163","","","15,520,726",""
+"","","","","","","","","","","","","","","","","","","","","","","",""
+"Delhi  28,084,780  411,700  4,550,000  0  33,046,480  5,000  33,051,480","","","","","","","","","","","","","","","","","","","","","","",""
+"","Goa","","","4,055,567","","","110,000","","","330,053","","","0","","","4,495,620","","","12,560","","","4,508,180",""
+"","","","","","","","","","","","","","","","","","","","","","","",""
+"Gujarat  26,328,400  6,922,900  12,664,000  42,000  45,957,300  455,860  46,413,160","","","","","","","","","","","","","","","","","","","","","","",""
+"","Haryana","","","15,156,681","","","1,333,527","","","40,100","","","0","","","16,530,308","","","1,222,698","","","17,753,006",""
+"","","","","","","","","","","","","","","","","","","","","","","",""
+"Himachal Pradesh  8,647,229  1,331,529  580,800  0  10,559,558  725,315  11,284,873","","","","","","","","","","","","","","","","","","","","","","",""
+"","Jammu & Kashmir","","","14,411,984","","","270,840","","","3,188,550","","","0","","","17,871,374","","","166,229","","","18,037,603",""
+"","","","","","","","","","","","","","","","","","","","","","","",""
+"Jharkhand  8,185,079  3,008,077  3,525,558  0  14,718,714  745,139  15,463,853","","","","","","","","","","","","","","","","","","","","","","",""
+"","Karnataka","","","34,939,843","","","4,317,801","","","3,669,700","","","0","","","42,927,344","","","631,088","","","43,558,432",""
+"","","","","","","","","","","","","","","","","","","","","","","",""
+"Kerala  27,923,965  3,985,473  929,503  0  32,838,941  334,640  33,173,581","","","","","","","","","","","","","","","","","","","","","","",""
+"","Madhya Pradesh","","","28,459,540","","","4,072,016","","","3,432,711","","","0","","","35,964,267","","","472,139","","","36,436,406",""
+"","","","","","","","","","","","","","","","","","","","","","","",""
+"Maharashtra  55,011,100  6,680,721  5,038,576  0  66,730,397  313,762  67,044,159","","","","","","","","","","","","","","","","","","","","","","",""
+"","Manipur","","","2,494,600","","","187,700","","","897,400","","","0","","","3,579,700","","","0","","","3,579,700",""
+"","","","","","","","","","","","","","","","","","","","","","","",""
+"Meghalaya  2,894,093  342,893  705,500  5,000  3,947,486  24,128  3,971,614","","","","","","","","","","","","","","","","","","","","","","",""
+"","Mizoram","","","1,743,501","","","84,185","","","10,250","","","0","","","1,837,936","","","17,060","","","1,854,996",""
+"","","","","","","","","","","","","","","","","","","","","","","",""
+"Nagaland   2,368,724  204,329  226,400  0  2,799,453  783,054  3,582,507","","","","","","","","","","","","","","","","","","","","","","",""
+"","Odisha","","","14,317,179","","","2,552,292","","","1,107,250","","","0","","","17,976,721","","","451,438","","","18,428,159",""
+"","","","","","","","","","","","","","","","","","","","","","","",""
+"Puducherry  4,191,757  52,249  192,400  0  4,436,406  2,173  4,438,579","","","","","","","","","","","","","","","","","","","","","","",""
+"","Punjab","","","19,775,485","","","2,208,343","","","2,470,882","","","0","","","24,454,710","","","1,436,522","","","25,891,232",""
+"","","","","","","","","","","","","","","","","","","","","","","",""
@@ -0,0 +1,71 @@
+"0","1","2","3","4"
+"","DLHS-4 (2012-13)","","DLHS-3 (2007-08)",""
+"Indicators","TOTAL","RURAL","TOTAL","RURAL"
+"Reported Prevalence of Morbidity","","","",""
+"Any Injury .....................................................................................................................................   1.9  2.1   
+Acute Illness .................................................................................................................................   4.5  5.6   
+Chronic Illness ..............................................................................................................................   5.1  4.1","","","",""
+"","","","",""
+"","","","",""
+"Reported Prevalence of Chronic Illness during last one year (%)","","","",""
+"Disease of respiratory system ......................................................................................................   11.7  15.0   
+Disease of cardiovascular system ................................................................................................   8.9  9.3   
+Persons suffering from tuberculosis .............................................................................................   2.2  1.5","","","",""
+"","","","",""
+"","","","",""
+"Anaemia Status by Haemoglobin Level14 (%)","","","",""
+"Children (6-59 months) having anaemia ......................................................................................   68.5  71.9   
+Children (6-59 months) having severe anaemia ..........................................................................   6.7  9.4   
+Children (6-9 Years) having anaemia - Male ................................................................................   67.1  71.4   
+Children (6-9 Years) having severe anaemia - Male ....................................................................   4.4  2.4   
+Children (6-9 Years) having anaemia - Female ...........................................................................   52.4  48.8   
+Children (6-9 Years) having severe anaemia - Female ................................................................   1.2  0.0   
+Children (6-14 years) having  anaemia - Male .............................................................................   50.8  62.5   
+Children (6-14 years) having severe anaemia - Male ..................................................................   3.7  3.6   
+Children (6-14 years) having  anaemia - Female .........................................................................   48.3  50.0   
+Children (6-14 years) having severe anaemia - Female ..............................................................   4.3  6.1   
+Children (10-19 Years15) having anaemia - Male .........................................................................   37.9  51.2   
+Children (10-19 Years15) having severe anaemia - Male .............................................................   3.5  4.0   
+Children (10-19 Years15) having anaemia - Female .....................................................................   46.6  52.1   
+Children (10-19 Years15) having severe anaemia - Female .........................................................   6.4  6.5   
+Adolescents (15-19 years) having  anaemia ................................................................................   39.4  46.5   
+Adolescents (15-19 years) having severe anaemia .....................................................................   5.4  5.1   
+Pregnant women (15-49 aged) having anaemia ..........................................................................   48.8  51.5   
+Pregnant women (15-49 aged) having severe anaemia ..............................................................   7.1  8.8   
+Women (15-49 aged) having anaemia .........................................................................................   45.2  51.7   
+Women (15-49 aged) having severe anaemia .............................................................................   4.8  5.9   
+Persons (20 years and above) having anaemia ...........................................................................   37.8  42.1   
+Persons (20 years and above) having Severe anaemia ..............................................................   4.6  4.8","","","",""
+"","","","",""
+"","","","",""
+"","","","",""
+"","","","",""
+"","","","",""
+"","","","",""
+"","","","",""
+"","","","",""
+"","","","",""
+"","","","",""
+"","","","",""
+"","","","",""
+"","","","",""
+"","","","",""
+"","","","",""
+"","","","",""
+"","","","",""
+"","","","",""
+"","","","",""
+"","","","",""
+"","","","",""
+"Blood Sugar Level (age 18 years and above) (%)","","","",""
+"Blood Sugar Level >140 mg/dl (high) ...........................................................................................   12.9  11.1   
+Blood Sugar Level >160 mg/dl (very high) ...................................................................................   7.0  5.1","","","",""
+"","","","",""
+"Hypertension (age 18 years and above) (%)","","","",""
+"Above Normal Range (Systolic >140 mm of Hg & Diastolic >90 mm of Hg )  ..............................   23.8  22.8   
+Moderately High (Systolic >160 mm of Hg & Diastolic >100 mm of Hg ) .....................................   8.2  7.1   
+Very High (Systolic >180 mm of Hg & Diastolic >110 mm of Hg ) ...............................................   3.7  3.1","","","",""
+"","","","",""
+"","","","",""
+"14 Any anaemia below 11g/dl, severe anaemia below 7g/dl. 15 Excluding age group 19 years","","","",""
+"Chronic Illness :Any person with symptoms persisting for longer than one month is defined as suffering from chronic illness","","","",""
@@ -24,6 +24,12 @@ To process background lines, you can pass ``process_background=True``.
    >>> tables = camelot.read_pdf('background_lines.pdf', process_background=True)
    >>> tables[1].df

+.. tip::
+    Here's how you can do the same with the :ref:`command-line interface <cli>`.
+    ::
+
+        $ camelot lattice -back background_lines.pdf
+
 .. csv-table::
  :file: ../_static/csv/background_lines.csv

@@ -41,8 +47,9 @@ You can specify the type of element you want to plot using the ``kind`` keyword
 - 'contour'
 - 'line'
 - 'joint'
+- 'textedge'

-.. note:: The last three plot types can only be used with :ref:`Lattice <lattice>`, i.e. when ``flavor='lattice'``.
+.. note:: 'line' and 'joint' can only be used with :ref:`Lattice <lattice>` and 'textedge' can only be used with :ref:`Stream <stream>`.

 Let's generate a plot for each type using this `PDF <../_static/pdf/foo.pdf>`__ as an example. First, let's get all the tables out.

@@ -62,6 +69,12 @@ Let's plot all the text present on the table's PDF page.
    >>> camelot.plot(tables[0], kind='text')
    >>> plt.show()

+.. tip::
+    Here's how you can do the same with the :ref:`command-line interface <cli>`.
+    ::
+
+        $ camelot lattice -plot text foo.pdf
+
 .. figure:: ../_static/png/plot_text.png
    :height: 674
    :width: 1366
@@ -83,6 +96,12 @@ Let's plot the table (to see if it was detected correctly or not). This plot typ
    >>> camelot.plot(tables[0], kind='grid')
    >>> plt.show()

+.. tip::
+    Here's how you can do the same with the :ref:`command-line interface <cli>`.
+    ::
+
+        $ camelot lattice -plot grid foo.pdf
+
 .. figure:: ../_static/png/plot_table.png
    :height: 674
    :width: 1366
@@ -102,6 +121,12 @@ Now, let's plot all table boundaries present on the table's PDF page.
    >>> camelot.plot(tables[0], kind='contour')
    >>> plt.show()

+.. tip::
+    Here's how you can do the same with the :ref:`command-line interface <cli>`.
+    ::
+
+        $ camelot lattice -plot contour foo.pdf
+
 .. figure:: ../_static/png/plot_contour.png
    :height: 674
    :width: 1366
@@ -119,6 +144,12 @@ Cool, let's plot all line segments present on the table's PDF page.
    >>> camelot.plot(tables[0], kind='line')
    >>> plt.show()

+.. tip::
+    Here's how you can do the same with the :ref:`command-line interface <cli>`.
+    ::
+
+        $ camelot lattice -plot line foo.pdf
+
 .. figure:: ../_static/png/plot_line.png
    :height: 674
    :width: 1366
@@ -136,6 +167,12 @@ Finally, let's plot all line intersections present on the table's PDF page.
    >>> camelot.plot(tables[0], kind='joint')
    >>> plt.show()

+.. tip::
+    Here's how you can do the same with the :ref:`command-line interface <cli>`.
+    ::
+
+        $ camelot lattice -plot joint foo.pdf
+
 .. figure:: ../_static/png/plot_joint.png
    :height: 674
    :width: 1366
@@ -143,6 +180,29 @@ Finally, let's plot all line intersections present on the table's PDF page.
    :alt: A plot of all line intersections on a PDF page
    :align: left

+textedge
+^^^^^^^^
+
+You can also visualize the textedges found on a page by specifying ``kind='textedge'``. To know more about what a "textedge" is, you can see pages 20, 35 and 40 of `Anssi Nurminen's master's thesis <http://dspace.cc.tut.fi/dpub/bitstream/handle/123456789/21520/Nurminen.pdf?sequence=3>`_.
+
+::
+
+    >>> camelot.plot(tables[0], kind='textedge')
+    >>> plt.show()
+
+.. tip::
+    Here's how you can do the same with the :ref:`command-line interface <cli>`.
+    ::
+
+        $ camelot stream -plot textedge foo.pdf
+
+.. figure:: ../_static/png/plot_textedge.png
+    :height: 674
+    :width: 1366
+    :scale: 50%
+    :alt: A plot of relevant textedges on a PDF page
+    :align: left
+
 Specify table areas
 -------------------

@@ -157,6 +217,12 @@ Table areas that you want Camelot to analyze can be passed as a list of comma-se
    >>> tables = camelot.read_pdf('table_areas.pdf', flavor='stream', table_areas=['316,499,566,337'])
    >>> tables[0].df

+.. tip::
+    Here's how you can do the same with the :ref:`command-line interface <cli>`.
+    ::
+
+        $ camelot stream -T 316,499,566,337 table_areas.pdf
+
 .. csv-table::
  :file: ../_static/csv/table_areas.csv

@@ -178,6 +244,12 @@ Let's get back to the *x* coordinates we got from plotting the text that exists
    >>> tables = camelot.read_pdf('column_separators.pdf', flavor='stream', columns=['72,95,209,327,442,529,566,606,683'])
    >>> tables[0].df

+.. tip::
+    Here's how you can do the same with the :ref:`command-line interface <cli>`.
+    ::
+
+        $ camelot stream -C 72,95,209,327,442,529,566,606,683 column_separators.pdf
+
 .. csv-table::

    "...","...","...","...","...","...","...","...","...","..."
@@ -197,6 +269,12 @@ To deal with cases like the output from the previous section, you can pass ``spl
    >>> tables = camelot.read_pdf('column_separators.pdf', flavor='stream', columns=['72,95,209,327,442,529,566,606,683'], split_text=True)
    >>> tables[0].df

+.. tip::
+    Here's how you can do the same with the :ref:`command-line interface <cli>`.
+    ::
+
+        $ camelot -split stream -C 72,95,209,327,442,529,566,606,683 column_separators.pdf
+
 .. csv-table::

    "...","...","...","...","...","...","...","...","...","..."
@@ -224,6 +302,12 @@ You can solve this by passing ``flag_size=True``, which will enclose the supersc
    >>> tables = camelot.read_pdf('superscript.pdf', flavor='stream', flag_size=True)
    >>> tables[0].df

+.. tip::
+    Here's how you can do the same with the :ref:`command-line interface <cli>`.
+    ::
+
+        $ camelot -flag stream superscript.pdf
+
 .. csv-table::

    "...","...","...","...","...","...","...","...","...","...","..."
@@ -232,10 +316,87 @@ You can solve this by passing ``flag_size=True``, which will enclose the supersc
    "Madhya Pradesh","27.13","23.57","-","-","3.56","0.38","-","1.86","-","1.28"
    "...","...","...","...","...","...","...","...","...","...","..."

-Control how text is grouped into rows
-------------------------------------
+Strip characters from text
+--------------------------

-You can pass ``row_close_tol=<+int>`` to group the rows closer together, as shown below.
+You can strip unwanted characters like spaces, dots and newlines from a string using the ``strip_text`` keyword argument. Take a look at `this PDF <https://github.com/socialcopsdev/camelot/blob/master/tests/files/tabula/12s0324.pdf>`_ as an example, the text at the start of each row contains a lot of unwanted spaces, dots and newlines.
+
+::
+
+    >>> tables = camelot.read_pdf('12s0324.pdf', flavor='stream', strip_text=' .\n')
+    >>> tables[0].df
+
+.. tip::
+    Here's how you can do the same with the :ref:`command-line interface <cli>`.
+    ::
+
+        $ camelot -strip ' .\n' stream 12s0324.pdf
+
+.. csv-table::
+
+    "...","...","...","...","...","...","...","...","...","..."
+    "Forcible rape","17.5","2.6","14.9","17.2","2.5","14.7","–","–","–"
+    "Robbery","102.1","25.5","76.6","90.0","22.9","67.1","12.1","2.5","9.5"
+    "Aggravated assault","338.4","40.1","298.3","264.0","30.2","233.8","74.4","9.9","64.5"
+    "Property crime","1,396 .4","338 .7","1,057 .7","875 .9","210 .8","665 .1","608 .2","127 .9","392 .6"
+    "Burglary","240.9","60.3","180.6","205.0","53.4","151.7","35.9","6.9","29.0"
+    "...","...","...","...","...","...","...","...","...","..."
+
+Improve guessed table areas
+---------------------------
+
+While using :ref:`Stream <stream>`, automatic table detection can fail for PDFs like `this one <https://github.com/socialcopsdev/camelot/blob/master/tests/files/edge_tol.pdf>`_. That's because the text is relatively far apart vertically, which can lead to shorter textedges being calculated.
+
+.. note:: To know more about how textedges are calculated to guess table areas, you can see pages 20, 35 and 40 of `Anssi Nurminen's master's thesis <http://dspace.cc.tut.fi/dpub/bitstream/handle/123456789/21520/Nurminen.pdf?sequence=3>`_.
+
+Let's see the table area that is detected by default.
+
+::
+
+    >>> tables = camelot.read_pdf('edge_tol.pdf', flavor='stream')
+    >>> camelot.plot(tables[0], kind='contour')
+    >>> plt.show()
+
+.. tip::
+    Here's how you can do the same with the :ref:`command-line interface <cli>`.
+    ::
+
+        $ camelot stream -plot contour edge.pdf
+
+.. figure:: ../_static/png/edge_tol_1.png
+    :height: 674
+    :width: 1366
+    :scale: 50%
+    :alt: Table area with default edge_tol
+    :align: left
+
+To improve the detected area, you can increase the ``edge_tol`` (default: 50) value to counter the effect of text being placed relatively far apart vertically. Larger ``edge_tol`` will lead to longer textedges being detected, leading to an improved guess of the table area. Let's use a value of 500.
+
+::
+
+    >>> tables = camelot.read_pdf('edge_tol.pdf', flavor='stream', edge_tol=500)
+    >>> camelot.plot(tables[0], kind='contour')
+    >>> plt.show()
+
+.. tip::
+    Here's how you can do the same with the :ref:`command-line interface <cli>`.
+    ::
+
+        $ camelot stream -e 500 -plot contour edge.pdf
+
+.. figure:: ../_static/png/edge_tol_2.png
+    :height: 674
+    :width: 1366
+    :scale: 50%
+    :alt: Table area with default edge_tol
+    :align: left
+
+As you can see, the guessed table area has improved!
+
+Improve guessed table rows
+--------------------------
+
+You can pass ``row_tol=<+int>`` to group the rows closer together, as shown below.

 ::

@@ -253,9 +414,15 @@ You can pass ``row_close_tol=<+int>`` to group the rows closer together, as show

 ::

-    >>> tables = camelot.read_pdf('group_rows.pdf', flavor='stream', row_close_tol=10)
+    >>> tables = camelot.read_pdf('group_rows.pdf', flavor='stream', row_tol=10)
    >>> tables[0].df

+.. tip::
+    Here's how you can do the same with the :ref:`command-line interface <cli>`.
+    ::
+
+        $ camelot stream -r 10 group_rows.pdf
+
 .. csv-table::

    "Clave","Nombre Entidad","Clave","","Nombre Municipio","Clave","Nombre Localidad"
@@ -299,6 +466,12 @@ Clearly, the smaller lines separating the headers, couldn't be detected. Let's t
    >>> camelot.plot(tables[0], kind='grid')
    >>> plt.show()

+.. tip::
+    Here's how you can do the same with the :ref:`command-line interface <cli>`.
+    ::
+
+        $ camelot lattice -scale 40 -plot grid short_lines.pdf
+
 .. figure:: ../_static/png/short_lines_2.png
    :alt: An improved plot of the PDF table with short lines
    :align: left
@@ -362,6 +535,12 @@ No surprises there — it did remain in place (observe the strings "2400" and "A
    >>> tables = camelot.read_pdf('short_lines.pdf', line_size_scaling=40, shift_text=['r', 'b'])
    >>> tables[0].df

+.. tip::
+    Here's how you can do the same with the :ref:`command-line interface <cli>`.
+    ::
+
+        $ camelot lattice -scale 40 -shift r -shift b short_lines.pdf
+
 .. csv-table::

    "Investigations","No. ofHHs","Age/Sex/Physiological  Group","Preva-lence","C.I*","RelativePrecision","Sample sizeper State"
@@ -407,6 +586,12 @@ We don't need anything else. Now, let's pass ``copy_text=['v']`` to copy text in
    >>> tables = camelot.read_pdf('copy_text.pdf', copy_text=['v'])
    >>> tables[0].df

+.. tip::
+    Here's how you can do the same with the :ref:`command-line interface <cli>`.
+    ::
+
+        $ camelot lattice -copy v copy_text.pdf
+
 .. csv-table::

    "Sl. No.","Name of State/UT","Name of District","Disease/ Illness","No. of Cases","No. of Deaths","Date of start of outbreak","Date of reporting","Current Status","..."
@@ -416,3 +601,14 @@ We don't need anything else. Now, let's pass ``copy_text=['v']`` to copy text in
    "4","West Bengal","West Medinipur","iv. Acute Diarrhoeal Disease","145","0","04/01/14","05/01/14","Under control","..."
    "4","West Bengal","Birbhum","v.  Food Poisoning","199","0","31/12/13","31/12/13","Under control","..."
    "4","West Bengal","Howrah","vi. Viral Hepatitis A &E","85","0","26/12/13","27/12/13","Under surveillance","..."
+
+Tweak layout generation
+-----------------------
+
+Camelot is built on top of PDFMiner's functionality of grouping characters on a page into words and sentences. In some cases (such as `#170 <https://github.com/socialcopsdev/camelot/issues/170>`_ and `#215 <https://github.com/socialcopsdev/camelot/issues/215>`_), PDFMiner can group characters that should belong to the same sentence into separate sentences.
+
+To deal with such cases, you can tweak PDFMiner's `LAParams kwargs <https://github.com/euske/pdfminer/blob/master/pdfminer/layout.py#L33>`_ to improve layout generation, by passing the keyword arguments as a dict using ``layout_kwargs`` in :meth:`read_pdf() <camelot.read_pdf>`. To know more about the parameters you can tweak, you can check out `PDFMiner docs <https://euske.github.io/pdfminer/>`_.
+
+::
+
+    >>> tables = camelot.read_pdf('foo.pdf', layout_kwargs={'detect_vertical': False})
@@ -15,6 +15,7 @@ You can print the help for the interface by typing ``camelot --help`` in your fa

  Options:
    --version                       Show the version and exit.
+    -q, --quiet TEXT                Suppress logs and warnings.
    -p, --pages TEXT                Comma-separated page numbers. Example: 1,3,4
                                    or 1,4-end.
    -pw, --password TEXT            Password for decryption.
@@ -28,7 +29,6 @@ You can print the help for the interface by typing ``camelot --help`` in your fa
    -M, --margins <FLOAT FLOAT FLOAT>...
                                    PDFMiner char_margin, line_margin and
                                    word_margin.
-    -q, --quiet                     Suppress warnings.
    --help                          Show this message and exit.

  Commands:
@@ -70,6 +70,12 @@ You can also export all tables at once, using the :class:`tables <camelot.core.T

    >>> tables.export('foo.csv', f='csv')

+.. tip::
+    Here's how you can do the same with the :ref:`command-line interface <cli>`.
+    ::
+
+        $ camelot --format csv --output foo.csv lattice foo.pdf
+
 This will export all tables as CSV files at the path specified. Alternatively, you can use ``f='json'``, ``f='excel'`` or ``f='html'``.

 .. note:: The :meth:`export() <camelot.core.TableList.export>` method exports files with a ``page-*-table-*`` suffix. In the example above, the single table in the list will be exported to ``foo-page-1-table-1.csv``. If the list contains multiple tables, multiple CSV files will be created. To avoid filling up your path with multiple files, you can use ``compress=True``, which will create a single ZIP file at your path with all the CSV files.
@@ -85,6 +91,12 @@ By default, Camelot only uses the first page of the PDF to extract tables. To sp

    >>> camelot.read_pdf('your.pdf', pages='1,2,3')

+.. tip::
+    Here's how you can do the same with the :ref:`command-line interface <cli>`.
+    ::
+
+        $ camelot --pages 1,2,3 lattice your.pdf
+
 The ``pages`` keyword argument accepts pages as comma-separated string of page numbers. You can also specify page ranges — for example, ``pages=1,4-10,20-30`` or ``pages=1,4-10,20-end``.

 Reading encrypted PDFs
@@ -98,6 +110,12 @@ To extract tables from encrypted PDF files you must provide a password when call
    >>> tables
    <TableList n=1>

+.. tip::
+    Here's how you can do the same with the :ref:`command-line interface <cli>`.
+    ::
+
+        $ camelot --password userpass lattice foo.pdf
+
 Currently Camelot only supports PDFs encrypted with ASCII passwords and algorithm `code 1 or 2`_. An exception is thrown if the PDF cannot be read. This may be due to no password being provided, an incorrect password, or an unsupported encryption algorithm.

 Further encryption support may be added in future, however in the meantime if your PDF files are using unsupported encryption algorithms you are advised to remove encryption before calling :meth:`read_pdf() <camelot.read_pdf>`. This can been successfully achieved with third-party tools such as `QPDF`_.
@@ -82,42 +82,40 @@ data_stream_two_tables_1 = [
    ["", "", "Total", "", "", "Male", "", "", "Female", ""],
    ["Offense charged", "", "Under 18", "18 years", "", "Under 18", "18 years", "", "Under 18", "18 years"],
    ["", "Total", "years", "and over", "Total", "years", "and over", "Total", "years", "and over"],
-    ["Total   . . .  .  .  .  .  . .  . .  . .  . .  . .  . .  . .  . .  .  .", "11,062 .6", "1,540 .0", "9,522 .6", "8,263 .3", "1,071 .6", "7,191 .7", "2,799 .2", "468 .3", "2,330 .9"],
-    ["Violent crime  .  .  .  .  .  .  .  . .  . .  . .  . .  . .  .", "467 .9", "69 .1", "398 .8", "380 .2", "56 .5", "323 .7", "87 .7", "12 .6", "75 .2"],
+    ["Total   .\n .\n .  .  .  .  .  .\n .  .\n .  .\n .  .\n .  .\n .  .\n .  .\n .  .\n .  .  .", "11,062 .6", "1,540 .0", "9,522 .6", "8,263 .3", "1,071 .6", "7,191 .7", "2,799 .2", "468 .3", "2,330 .9"],
+    ["Violent crime  .  .  .  .  .  .  .  .\n .  .\n .  .\n .  .\n .  .\n .  .", "467 .9", "69 .1", "398 .8", "380 .2", "56 .5", "323 .7", "87 .7", "12 .6", "75 .2"],
    ["Murder and nonnegligent", "", "", "", "", "", "", "", "", ""],
-    ["manslaughter . . . . . . . .. .. .. .. ..", "10.0", "0.9", "9.1", "9.0", "0.9", "8.1", "1.1", "–", "1.0"],
-    ["Forcible rape . . . . . . . .. .. .. .. .. .", "17.5", "2.6", "14.9", "17.2", "2.5", "14.7", "–", "–", "–"],
-    ["Robbery . . . .. .. . .. . ... . ... . ...", "102.1", "25.5", "76.6", "90.0", "22.9", "67.1", "12.1", "2.5", "9.5"],
-    ["Aggravated assault  . . . . . . . .. .. ..", "338.4", "40.1", "298.3", "264.0", "30.2", "233.8", "74.4", "9.9", "64.5"],
-    ["Property crime  .  .  .  . .  . .  .  . .  .  . . .  .  .  .", "1,396 .4", "338 .7", "1,057 .7", "875 .9", "210 .8", "665 .1", "608 .2", "127 .9", "392 .6"],
-    ["Burglary . .. . . . . .. ... .... .... ..", "240.9", "60.3", "180.6", "205.0", "53.4", "151.7", "35.9", "6.9", "29.0"],
-    ["Larceny-theft . . . . . . . .. .. .. .. .. .", "1,080.1", "258.1", "822.0", "608.8", "140.5", "468.3", "471.3", "117.6", "353.6"],
-    ["Motor vehicle theft . . . . .. .. . .... .", "65.6", "16.0", "49.6", "53.9", "13.3", "40.7", "11.7", "2.7", "8.9"],
-    ["Arson .. . . . .. . ... .... .... .... .", "9.8", "4.3", "5.5", "8.1", "3.7", "4.4", "1.7", "0.6", "1.1"],
-    ["Other assaults .. . . . . .. . ... . ... ..", "1,061.3", "175.3", "886.1", "785.4", "115.4", "670.0", "276.0", "59.9", "216.1"],
-    ["Forgery and counterfeiting .. . . . . . ..", "68.9", "1.7", "67.2", "42.9", "1.2", "41.7", "26.0", "0.5", "25.5"],
-    ["Fraud .... .. . . .. ... .... .... ....", "173.7", "5.1", "168.5", "98.4", "3.3", "95.0", "75.3", "1.8", "73.5"],
-    ["Embezzlement . . .. . . . .. . ... . ....", "14.6", "–", "14.1", "7.2", "–", "6.9", "7.4", "–", "7.2"],
-    ["Stolen property 1  . . . . . . .. . .. .. ...", "84.3", "15.1", "69.2", "66.7", "12.2", "54.5", "17.6", "2.8", "14.7"],
-    ["Vandalism  . . . . . . . .. .. .. .. .. ....", "217.4", "72.7", "144.7", "178.1", "62.8", "115.3", "39.3", "9.9", "29.4"],
+    ["manslaughter . . . . . . . .\n. .\n. .\n. .\n. .\n.", "10.0", "0.9", "9.1", "9.0", "0.9", "8.1", "1.1", "–", "1.0"],
+    ["Forcible rape . . . . . . . .\n. .\n. .\n. .\n. .\n. .", "17.5", "2.6", "14.9", "17.2", "2.5", "14.7", "–", "–", "–"],
+    ["Robbery . . . .\n. .\n. . .\n. . .\n.\n. . .\n.\n. . .\n.\n.", "102.1", "25.5", "76.6", "90.0", "22.9", "67.1", "12.1", "2.5", "9.5"],
+    ["Aggravated assault  . . . . . . . .\n. .\n. .\n.", "338.4", "40.1", "298.3", "264.0", "30.2", "233.8", "74.4", "9.9", "64.5"],
+    ["Property crime  .  .  .  .\n .  .\n .  .  .\n .  .  .\n .\n .  .  .  .", "1,396 .4", "338 .7", "1,057 .7", "875 .9", "210 .8", "665 .1", "608 .2", "127 .9", "392 .6"],
+    ["Burglary . .\n. . . . . .\n. .\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.", "240.9", "60.3", "180.6", "205.0", "53.4", "151.7", "35.9", "6.9", "29.0"],
+    ["Larceny-theft . . . . . . . .\n. .\n. .\n. .\n. .\n. .", "1,080.1", "258.1", "822.0", "608.8", "140.5", "468.3", "471.3", "117.6", "353.6"],
+    ["Motor vehicle theft . . . . .\n. .\n. . .\n.\n.\n. .", "65.6", "16.0", "49.6", "53.9", "13.3", "40.7", "11.7", "2.7", "8.9"],
+    ["Arson .\n. . . . .\n. . .\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. .", "9.8", "4.3", "5.5", "8.1", "3.7", "4.4", "1.7", "0.6", "1.1"],
+    ["Other assaults .\n. . . . . .\n. . .\n.\n. . .\n.\n. .\n.", "1,061.3", "175.3", "886.1", "785.4", "115.4", "670.0", "276.0", "59.9", "216.1"],
+    ["Forgery and counterfeiting .\n. . . . . . .\n.", "68.9", "1.7", "67.2", "42.9", "1.2", "41.7", "26.0", "0.5", "25.5"],
+    ["Fraud .\n.\n.\n. .\n. . . .\n. .\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.\n.", "173.7", "5.1", "168.5", "98.4", "3.3", "95.0", "75.3", "1.8", "73.5"],
+    ["Embezzlement . . .\n. . . . .\n. . .\n.\n. . .\n.\n.\n.", "14.6", "–", "14.1", "7.2", "–", "6.9", "7.4", "–", "7.2"],
+    ["Stolen property 1  . . . . . . .\n. . .\n. .\n. .\n.\n.", "84.3", "15.1", "69.2", "66.7", "12.2", "54.5", "17.6", "2.8", "14.7"],
+    ["Vandalism  . . . . . . . .\n. .\n. .\n. .\n. .\n. .\n.\n.\n.", "217.4", "72.7", "144.7", "178.1", "62.8", "115.3", "39.3", "9.9", "29.4"],
    ["Weapons; carrying, possessing, etc. .", "132.9", "27.1", "105.8", "122.1", "24.3", "97.8", "10.8", "2.8", "8.0"],
-    ["Prostitution and commercialized vice",
-    "56.9", "1.1", "55.8", "17.3", "–", "17.1", "39.6", "0.8", "38.7"],
-    ["Sex offenses 2  . . . . .. . . . .. .. .. . ..", "61.5", "10.7", "50.7", "56.1", "9.6", "46.5", "5.4", "1.1", "4.3"],
-    ["Drug abuse violations  . . . . . . . .. ...", "1,333.0", "136.6", "1,196.4", "1,084.3", "115.2", "969.1", "248.7", "21.4", "227.3"],
-    ["Gambling .. . . . . .. ... . ... . ... ...", "8.2", "1.4", "6.8", "7.2", "1.4", "5.9", "0.9", "–", "0.9"],
+    ["Prostitution and commercialized vice", "56.9", "1.1", "55.8", "17.3", "–", "17.1", "39.6", "0.8", "38.7"],
+    ["Sex offenses 2  . . . . .\n. . . . .\n. .\n. .\n. . .\n.", "61.5", "10.7", "50.7", "56.1", "9.6", "46.5", "5.4", "1.1", "4.3"],
+    ["Drug abuse violations  . . . . . . . .\n. .\n.\n.", "1,333.0", "136.6", "1,196.4", "1,084.3", "115.2", "969.1", "248.7", "21.4", "227.3"],
+    ["Gambling .\n. . . . . .\n. .\n.\n. . .\n.\n. . .\n.\n. .\n.\n.", "8.2", "1.4", "6.8", "7.2", "1.4", "5.9", "0.9", "–", "0.9"],
    ["Offenses against the family and", "", "", "", "", "", "", "", "", ""],
-    ["children . . . .. . . .. .. .. .. .. .. . ..", "92.4", "3.7", "88.7", "68.9", "2.4", "66.6", "23.4", "1.3", "22.1"],
-    ["Driving under the influence . . . . . .. .", "1,158.5", "109.2", "1,147.5", "895.8", "8.2", "887.6", "262.7", "2.7", "260.0"],
-    ["Liquor laws  . . . . . . . .. .. .. .. .. .. .", "48.2", "90.2", "368.0", "326.8", "55.4", "271.4",
-    "131.4", "34.7", "96.6"],
-    ["Drunkenness . . .. . . . .. . ... . ... ..", "488.1", "11.4", "476.8", "406.8", "8.5", "398.3", "81.3", "2.9", "78.4"],
-    ["Disorderly conduct . .. . . . . . .. .. .. .", "529.5", "136.1", "393.3", "387.1", "90.8", "296.2", "142.4", "45.3", "97.1"],
-    ["Vagrancy . . . .. . . . ... .... .... ...", "26.6", "2.2", "24.4", "20.9", "1.6", "19.3", "5.7", "0.6", "5.1"],
-    ["All other offenses (except traffic) . . ..", "306.1", "263.4", "2,800.8", "2,337.1", "194.2", "2,142.9", "727.0", "69.2", "657.9"],
-    ["Suspicion . . . .. . . .. .. .. .. .. .. . ..", "1.6", "–", "1.4", "1.2", "–", "1.0", "–", "–", "–"],
-    ["Curfew and loitering law violations  ..", "91.0", "91.0", "(X)", "63.1", "63.1", "(X)", "28.0", "28.0", "(X)"],
-    ["Runaways  . . . . . . . .. .. .. .. .. ....", "75.8", "75.8", "(X)", "34.0", "34.0", "(X)", "41.8", "41.8", "(X)"],
+    ["children . . . .\n. . . .\n. .\n. .\n. .\n. .\n. .\n. . .\n.", "92.4", "3.7", "88.7", "68.9", "2.4", "66.6", "23.4", "1.3", "22.1"],
+    ["Driving under the influence . . . . . .\n. .", "1,158.5", "109.2", "1,147.5", "895.8", "8.2", "887.6", "262.7", "2.7", "260.0"],
+    ["Liquor laws  . . . . . . . .\n. .\n. .\n. .\n. .\n. .\n. .", "48.2", "90.2", "368.0", "326.8", "55.4", "271.4", "131.4", "34.7", "96.6"],
+    ["Drunkenness . . .\n. . . . .\n. . .\n.\n. . .\n.\n. .\n.", "488.1", "11.4", "476.8", "406.8", "8.5", "398.3", "81.3", "2.9", "78.4"],
+    ["Disorderly conduct . .\n. . . . . . .\n. .\n. .\n. .", "529.5", "136.1", "393.3", "387.1", "90.8", "296.2", "142.4", "45.3", "97.1"],
+    ["Vagrancy . . . .\n. . . . .\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.", "26.6", "2.2", "24.4", "20.9", "1.6", "19.3", "5.7", "0.6", "5.1"],
+    ["All other offenses (except traffic) . . .\n.", "306.1", "263.4", "2,800.8", "2,337.1", "194.2", "2,142.9", "727.0", "69.2", "657.9"],
+    ["Suspicion . . . .\n. . . .\n. .\n. .\n. .\n. .\n. .\n. . .\n.", "1.6", "–", "1.4", "1.2", "–", "1.0", "–", "–", "–"],
+    ["Curfew and loitering law violations  .\n.", "91.0", "91.0", "(X)", "63.1", "63.1", "(X)", "28.0", "28.0", "(X)"],
+    ["Runaways  . . . . . . . .\n. .\n. .\n. .\n. .\n. .\n.\n.\n.", "75.8", "75.8", "(X)", "34.0", "34.0", "(X)", "41.8", "41.8", "(X)"],
    ["", "– Represents zero. X Not applicable. 1 Buying, receiving, possessing stolen property. 2 Except forcible rape and prostitution.", "", "", "", "", "", "", "", ""],
    ["", "Source: U.S. Department of Justice, Federal Bureau of Investigation, Uniform Crime Reports, Arrests Master Files.", "", "", "", "", "", "", "", ""]
 ]
@@ -128,41 +126,40 @@ data_stream_two_tables_2 = [
    ["[Based on Uniform Crime Reporting (UCR) Program. Represents arrests reported (not charged) by 12,371 agencies", "", "", "", "", ""],
    ["with a total population of 239,839,971 as estimated by the FBI. See headnote, Table 324]", "", "", "", "", ""],
    ["", "", "", "", "American", ""],
-    ["Offense charged", "", "", "",
-    "Indian/Alaskan", "Asian Pacific"],
+    ["Offense charged", "", "", "", "Indian/Alaskan", "Asian Pacific"],
    ["", "Total", "White", "Black", "Native", "Islander"],
-    ["Total  . . . . .  . .  .  . .  .  . . .  .  . . .  .  . .  . . .  .  . . . . .  . .  . .  .", "10,690,561", "7,389,208", "3,027,153", "150,544", "123,656"],
-    ["Violent crime  .  .  .  .  .  .  .  . .  . .  . .  . .  . . . .  . .  . . . . . .  .", "456,965", "268,346", "177,766", "5,608", "5,245"],
-    ["Murder and nonnegligent manslaughter . .. ... .", "9,739", "4,741", "4,801", "100", "97"],
-    ["Forcible rape . . . . . . . .. .. .. .. .... .. ...... .", "16,362", "10,644", "5,319", "169", "230"],
-    ["Robbery . . . . .. . . . ... . ... . .... .... .... . . .", "100,496", "43,039", "55,742", "726", "989"],
-    ["Aggravated assault  . . . . . . . .. .. ...... .. ....", "330,368", "209,922", "111,904", "4,613", "3,929"],
-    ["Property crime  .  .  .  .  . .  .  .  .  . . .  .  . . .  . . . . .  . . .  . . .", "1,364,409", "922,139", "406,382", "17,599", "18,289"],
-    ["Burglary . . .. . . . .. . .... .... .... .... ... . . .", "234,551", "155,994", "74,419", "2,021", "2,117"],
-    ["Larceny-theft . . . . . . . .. .. .. .. .... .. ...... .", "1,056,473", "719,983", "306,625", "14,646", "15,219"],
-    ["Motor vehicle theft . . . . . .. ... . ... ..... ... ..", "63,919", "39,077", "23,184", "817", "841"],
-    ["Arson .. . . .. .. .. ... .... .... .... .... . . . . .", "9,466", "7,085", "2,154", "115", "112"],
-    ["Other assaults .. . . . . . ... . ... . ... ..... ... ..", "1,032,502", "672,865", "332,435", "15,127", "12,075"],
-    ["Forgery and counterfeiting .. . . . . . ... ..... .. ..", "67,054", "44,730", "21,251", "345", "728"],
-    ["Fraud ... . . . . .. .. .. .. .. .. .. .. .. .... . . . . . .", "161,233", "108,032", "50,367", "1,315", "1,519"],
-    ["Embezzlement . . . .. . . . ... . ... . .... ... .....", "13,960", "9,208", "4,429", "75", "248"],
-    ["Stolen property; buying, receiving, possessing .. .", "82,714", "51,953", "29,357", "662", "742"],
-    ["Vandalism  . . . . . . . .. .. .. .. .. .. .... .. ..... .", "212,173", "157,723", "48,746", "3,352", "2,352"],
-    ["Weapons—carrying, possessing, etc. .. .. ... .. .", "130,503", "74,942", "53,441", "951", "1,169"],
-    ["Prostitution and commercialized vice  . ... .. .. ..", "56,560", "31,699", "23,021", "427", "1,413"],
-    ["Sex offenses 1 . . . . . . . .. .. .. .. .... .. ...... .", "60,175", "44,240", "14,347", "715", "873"],
-    ["Drug abuse violations  . . . . . . . .. . ..... .. .....", "1,301,629", "845,974", "437,623", "8,588", "9,444"],
-    ["Gambling . . . . .. . . . ... . ... . .. ... . ...... .. .", "8,046", "2,290", "5,518", "27", "211"],
-    ["Offenses against the family and children ... .. .. .", "87,232", "58,068", "26,850", "1,690", "624"],
-    ["Driving under the influence . . . . . . .. ... ...... .", "1,105,401", "954,444", "121,594", "14,903", "14,460"],
-    ["Liquor laws  . . . . . . . .. .. .. .. .. . ..... .. .....", "444,087", "373,189", "50,431", "14,876", "5,591"],
-    ["Drunkenness . .. . . . . . ... . ... . ..... . .......", "469,958", "387,542", "71,020", "8,552", "2,844"],
-    ["Disorderly conduct . . .. . . . . .. .. . ..... .. .....", "515,689", "326,563", "176,169", "8,783", "4,174"],
-    ["Vagrancy . . .. .. . . .. ... .... .... .... .... . . .", "26,347", "14,581", "11,031", "543", "192"],
-    ["All other offenses (except traffic) . .. .. .. ..... ..", "2,929,217", "1,937,221", "911,670", "43,880", "36,446"],
-    ["Suspicion . . .. . . . .. .. .. .. .. .. .. ...... .. . . .", "1,513", "677", "828", "1", "7"],
-    ["Curfew and loitering law violations  . .. ... .. ....", "89,578", "54,439", "33,207", "872", "1,060"],
-    ["Runaways  . . . . . . . .. .. .. .. .. .. .... .. ..... .", "73,616", "48,343", "19,670", "1,653", "3,950"],
+    ["Total  .\n .\n .\n .\n .  .\n .  .  .\n .  .  .\n .\n .  .  .\n .\n .  .  .\n .  .\n .\n .  .  .\n .\n .\n .\n .  .\n .  .\n .  .", "10,690,561", "7,389,208", "3,027,153", "150,544", "123,656"],
+    ["Violent crime  .  .  .  .  .  .  .  .\n .  .\n .  .\n .  .\n .  .\n .\n .\n .  .\n .  .\n .\n .\n .\n .\n .  .", "456,965", "268,346", "177,766", "5,608", "5,245"],
+    ["Murder and nonnegligent manslaughter . .\n. .\n.\n. .", "9,739", "4,741", "4,801", "100", "97"],
+    ["Forcible rape . . . . . . . .\n. .\n. .\n. .\n. .\n.\n.\n. .\n. .\n.\n.\n.\n.\n. .", "16,362", "10,644", "5,319", "169", "230"],
+    ["Robbery . . . . .\n. . . . .\n.\n. . .\n.\n. . .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. . . .", "100,496", "43,039", "55,742", "726", "989"],
+    ["Aggravated assault  . . . . . . . .\n. .\n. .\n.\n.\n.\n.\n. .\n. .\n.\n.\n.", "330,368", "209,922", "111,904", "4,613", "3,929"],
+    ["Property crime  .  .  .  .  .\n .  .  .  .  .\n .\n .  .  .\n .\n .  .\n .\n .\n .\n .  .\n .\n .  .\n .\n .", "1,364,409", "922,139", "406,382", "17,599", "18,289"],
+    ["Burglary . . .\n. . . . .\n. . .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n. . . .", "234,551", "155,994", "74,419", "2,021", "2,117"],
+    ["Larceny-theft . . . . . . . .\n. .\n. .\n. .\n. .\n.\n.\n. .\n. .\n.\n.\n.\n.\n. .", "1,056,473", "719,983", "306,625", "14,646", "15,219"],
+    ["Motor vehicle theft . . . . . .\n. .\n.\n. . .\n.\n. .\n.\n.\n.\n. .\n.\n. .\n.", "63,919", "39,077", "23,184", "817", "841"],
+    ["Arson .\n. . . .\n. .\n. .\n. .\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. . . . . .", "9,466", "7,085", "2,154", "115", "112"],
+    ["Other assaults .\n. . . . . . .\n.\n. . .\n.\n. . .\n.\n. .\n.\n.\n.\n. .\n.\n. .\n.", "1,032,502", "672,865", "332,435", "15,127", "12,075"],
+    ["Forgery and counterfeiting .\n. . . . . . .\n.\n. .\n.\n.\n.\n. .\n. .\n.", "67,054", "44,730", "21,251", "345", "728"],
+    ["Fraud .\n.\n. . . . . .\n. .\n. .\n. .\n. .\n. .\n. .\n. .\n. .\n. .\n.\n.\n. . . . . . .", "161,233", "108,032", "50,367", "1,315", "1,519"],
+    ["Embezzlement . . . .\n. . . . .\n.\n. . .\n.\n. . .\n.\n.\n. .\n.\n. .\n.\n.\n.\n.", "13,960", "9,208", "4,429", "75", "248"],
+    ["Stolen property; buying, receiving, possessing .\n. .", "82,714", "51,953", "29,357", "662", "742"],
+    ["Vandalism  . . . . . . . .\n. .\n. .\n. .\n. .\n. .\n. .\n.\n.\n. .\n. .\n.\n.\n.\n. .", "212,173", "157,723", "48,746", "3,352", "2,352"],
+    ["Weapons—carrying, possessing, etc. .\n. .\n. .\n.\n. .\n. .", "130,503", "74,942", "53,441", "951", "1,169"],
+    ["Prostitution and commercialized vice  . .\n.\n. .\n. .\n. .\n.", "56,560", "31,699", "23,021", "427", "1,413"],
+    ["Sex offenses 1 . . . . . . . .\n. .\n. .\n. .\n. .\n.\n.\n. .\n. .\n.\n.\n.\n.\n. .", "60,175", "44,240", "14,347", "715", "873"],
+    ["Drug abuse violations  . . . . . . . .\n. . .\n.\n.\n.\n. .\n. .\n.\n.\n.\n.", "1,301,629", "845,974", "437,623", "8,588", "9,444"],
+    ["Gambling . . . . .\n. . . . .\n.\n. . .\n.\n. . .\n. .\n.\n. . .\n.\n.\n.\n.\n. .\n. .", "8,046", "2,290", "5,518", "27", "211"],
+    ["Offenses against the family and children .\n.\n. .\n. .\n. .", "87,232", "58,068", "26,850", "1,690", "624"],
+    ["Driving under the influence . . . . . . .\n. .\n.\n. .\n.\n.\n.\n.\n. .", "1,105,401", "954,444", "121,594", "14,903", "14,460"],
+    ["Liquor laws  . . . . . . . .\n. .\n. .\n. .\n. .\n. . .\n.\n.\n.\n. .\n. .\n.\n.\n.\n.", "444,087", "373,189", "50,431", "14,876", "5,591"],
+    ["Drunkenness . .\n. . . . . . .\n.\n. . .\n.\n. . .\n.\n.\n.\n. . .\n.\n.\n.\n.\n.\n.", "469,958", "387,542", "71,020", "8,552", "2,844"],
+    ["Disorderly conduct . . .\n. . . . . .\n. .\n. . .\n.\n.\n.\n. .\n. .\n.\n.\n.\n.", "515,689", "326,563", "176,169", "8,783", "4,174"],
+    ["Vagrancy . . .\n. .\n. . . .\n. .\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. . . .", "26,347", "14,581", "11,031", "543", "192"],
+    ["All other offenses (except traffic) . .\n. .\n. .\n. .\n.\n.\n.\n. .\n.", "2,929,217", "1,937,221", "911,670", "43,880", "36,446"],
+    ["Suspicion . . .\n. . . . .\n. .\n. .\n. .\n. .\n. .\n. .\n. .\n.\n.\n.\n.\n. .\n. . . .", "1,513", "677", "828", "1", "7"],
+    ["Curfew and loitering law violations  . .\n. .\n.\n. .\n. .\n.\n.\n.", "89,578", "54,439", "33,207", "872", "1,060"],
+    ["Runaways  . . . . . . . .\n. .\n. .\n. .\n. .\n. .\n. .\n.\n.\n. .\n. .\n.\n.\n.\n. .", "73,616", "48,343", "19,670", "1,653", "3,950"],
    ["1 Except forcible rape and prostitution.", "", "", "", "", ""],
    ["", "Source: U.S. Department of Justice, Federal Bureau of Investigation, “Crime in the United States, Arrests,” September 2010,", "", "", "", ""]
 ]
@@ -170,7 +167,7 @@ data_stream_two_tables_2 = [
 data_stream_table_areas = [
    ["", "One Withholding"],
    ["Payroll Period", "Allowance"],
-    ["Weekly", "$71.15"],
+    ["Weekly", "$\n71.15"],
    ["Biweekly", "142.31"],
    ["Semimonthly", "154.17"],
    ["Monthly", "308.33"],
@@ -315,9 +312,66 @@ data_stream_flag_size = [
    ["ALL STATES", "513.38", "436.02", "-", "25.57", "51.06", "14.18", "-", "8.21", "11.83", "11.08"]
 ]

+data_stream_strip_text = [
+    ["V i n s   a u   Ve r r e", ""],
+    ["Les Blancs", "12.5CL"],
+    ["A.O.P Côtes du Rhône", ""],
+    ["Domaine de la Guicharde «  Autour de la chapelle » 2016", "8 €"],
+    ["A.O.P Vacqueyras", ""],
+    ["Domaine de Montvac  « Melodine » 2016", "10 €"],
+    ["A.O.P Châteauneuf du Pape", ""],
+    ["Domaine de Beaurenard 2017", "13 €"],
+    ["A.O.P Côteaux du Languedoc", ""],
+    ["Villa Tempora « Un temps pour elle » 2014", "9 €"],
+    ["A.O.P Côtes de Provence", ""],
+    ["Château Grand Boise 2017", "9 €"],
+    ["Les Rosés", "12,5 CL"],
+    ["A.O.P Côtes du Rhône", ""],
+    ["Domaine de la Florane « A fleur de Pampre » 2016", "8 €"],
+    ["Famille Coulon (Domaine Beaurenard) Biotifulfox 2017", "8 €"],
+    ["A.O.P Vacqueyras", ""],
+    ["Domaine de Montvac 2017", "9 €"],
+    ["A.O.P Languedoc", ""],
+    ["Domaine de Joncas « Nébla » 2015", "8 €"],
+    ["Villa Tempora « L’arroseur arrosé » 2015", "9 €"],
+    ["A.O.P Côtes de Provence", ""],
+    ["Château Grand Boise « Sainte Victoire » 2017", "9 €"],
+    ["Château Léoube 2016", "10 €"]
+]
+
+data_stream_edge_tol = [
+    ["Key figures", ""],
+    ["", "2016"],
+    ["(all amounts in EUR)", ""],
+    ["C\nlass A", ""],
+    ["N\net Asset Value at 31 December", "5,111,372"],
+    ["N\number of outstanding units at 31 December", "49,136"],
+    ["N\net Asset Value per unit at 31 December", "104.03"],
+    ["C\nlass B", ""],
+    ["N\net Asset Value at 31 December", "49,144,825"],
+    ["N\number of outstanding units at 31 December", "471,555"],
+    ["N\net Asset Value per unit at 31 December", "104.22"],
+    ["T\notal for the Fund", ""],
+    ["N\net Asset Value at 31 December", "54,256,197"],
+    ["N\number of outstanding units at 31 December", "520,691"],
+    ["I\nnvestment result", ""],
+    ["Direct result", "-"],
+    ["Revaluation", "2,076,667"],
+    ["Costs", "(106,870)"],
+    ["T\notal investment result for the period1", "1,969,797"],
+    ["I\nnvestment result per unit2", ""],
+    ["Direct result", "-"],
+    ["Revaluation", "3.99"],
+    ["Costs", "(0.21)"],
+    ["T\notal investment result per unit", "3.78"],
+    ["1 The results cover the period from inception of the Fund at 8 April 2016 through 31 December 2016.", ""],
+    ["2 The result per unit is calculated using the total number of outstanding unit as per the end of the", ""],
+    ["period.", ""]
+]
+
 data_lattice = [
-    ["Cycle Name", "KI (1/km)", "Distance (mi)", "Percent Fuel Savings", "", "", ""],
-    ["", "", "", "Improved Speed", "Decreased Accel", "Eliminate Stops", "Decreased Idle"],
+    ["Cycle \nName", "KI \n(1/km)", "Distance \n(mi)", "Percent Fuel Savings", "", "", ""],
+    ["", "", "", "Improved \nSpeed", "Decreased \nAccel", "Eliminate \nStops", "Decreased \nIdle"],
    ["2012_2", "3.30", "1.3", "5.9%", "9.5%", "29.2%", "17.4%"],
    ["2145_1", "0.68", "11.2", "2.4%", "0.1%", "9.5%", "2.7%"],
    ["4234_1", "0.59", "58.7", "8.5%", "1.3%", "8.5%", "3.3%"],
@@ -326,7 +380,7 @@ data_lattice = [
 ]

 data_lattice_table_rotated = [
-    ["State", "Nutritional Assessment  (No. of individuals)", "", "", "", "IYCF Practices  (No. of mothers: 2011-12)", "Blood Pressure  (No. of adults: 2011-12)", "", "Fasting  Blood Sugar (No. of adults:2011-12)", ""],
+    ["State", "Nutritional Assessment  \n(No. of individuals)", "", "", "", "IYCF Practices  \n(No. of mothers: \n2011-12)", "Blood Pressure  \n(No. of adults: \n2011-12)", "", "Fasting  Blood Sugar \n(No. of adults:\n2011-12)", ""],
    ["", "1975-79", "1988-90", "1996-97", "2011-12", "", "Men", "Women", "Men", "Women"],
    ["Kerala", "5738", "6633", "8864", "8297", "245", "2161", "3195", "1645", "2391"],
    ["Tamil Nadu", "7387", "10217", "5813", "7851", "413", "2134", "2858", "1119", "1739"],
@@ -343,7 +397,7 @@ data_lattice_table_rotated = [

 data_lattice_two_tables_1 = [
    ["State", "n", "Literacy Status", "", "", "", "", ""],
-    ["", "", "Illiterate", "Read & Write", "1-4 std.", "5-8 std.", "9-12 std.", "College"],
+    ["", "", "Illiterate", "Read & \nWrite", "1-4 std.", "5-8 std.", "9-12 std.", "College"],
    ["Kerala", "2400", "7.2", "0.5", "25.3", "20.1", "41.5", "5.5"],
    ["Tamil Nadu", "2400", "21.4", "2.3", "8.8", "35.5", "25.8", "6.2"],
    ["Karnataka", "2399", "37.4", "2.8", "12.5", "18.3", "23.1", "5.8"],
@@ -359,7 +413,7 @@ data_lattice_two_tables_1 = [

 data_lattice_two_tables_2 = [
    ["State", "n", "Literacy Status", "", "", "", "", ""],
-    ["", "", "Illiterate", "Read & Write", "1-4 std.", "5-8 std.", "9-12 std.", "College"],
+    ["", "", "Illiterate", "Read & \nWrite", "1-4 std.", "5-8 std.", "9-12 std.", "College"],
    ["Kerala", "2400", "8.8", "0.3", "20.1", "17.0", "45.6", "8.2"],
    ["Tamil Nadu", "2400", "29.9", "1.5", "8.5", "33.1", "22.3", "4.8"],
    ["Karnataka", "2399", "47.9", "2.5", "10.2", "18.8", "18.4", "2.3"],
@@ -376,7 +430,7 @@ data_lattice_two_tables_2 = [
 data_lattice_table_areas = [
    ["", "", "", "", "", "", "", "", ""],
    ["State", "n", "Literacy Status", "", "", "", "", "", ""],
-    ["", "", "Illiterate", "Read & Write", "1-4 std.", "5-8 std.", "9-12 std.", "College", ""],
+    ["", "", "Illiterate", "Read & \nWrite", "1-4 std.", "5-8 std.", "9-12 std.", "College", ""],
    ["Kerala", "2400", "7.2", "0.5", "25.3", "20.1", "41.5", "5.5", ""],
    ["Tamil Nadu", "2400", "21.4", "2.3", "8.8", "35.5", "25.8", "6.2", ""],
    ["Karnataka", "2399", "37.4", "2.8", "12.5", "18.3", "23.1", "5.8", ""],
@@ -392,13 +446,13 @@ data_lattice_table_areas = [
 ]

 data_lattice_process_background = [
-    ["State", "Date", "Halt stations", "Halt days", "Persons directly reached(in lakh)", "Persons trained", "Persons counseled" ,"Persons testedfor HIV"],
+    ["State", "Date", "Halt \nstations", "Halt \ndays", "Persons \ndirectly \nreached\n(in lakh)", "Persons \ntrained", "Persons \ncounseled", "Persons \ntested\nfor HIV"],
    ["Delhi", "1.12.2009", "8", "17", "1.29", "3,665", "2,409", "1,000"],
-    ["Rajasthan", "2.12.2009 to 19.12.2009", "", "", "", "", "", ""],
-    ["Gujarat", "20.12.2009 to 3.1.2010", "6", "13", "6.03", "3,810", "2,317", "1,453"],
-    ["Maharashtra", "4.01.2010 to 1.2.2010", "13", "26", "1.27", "5,680", "9,027", "4,153"],
-    ["Karnataka", "2.2.2010 to 22.2.2010", "11", "19", "1.80", "5,741", "3,658", "3,183"],
-    ["Kerala", "23.2.2010 to 11.3.2010", "9", "17", "1.42", "3,559", "2,173", "855"],
+    ["Rajasthan", "2.12.2009 to \n19.12.2009", "", "", "", "", "", ""],
+    ["Gujarat", "20.12.2009 to \n3.1.2010", "6", "13", "6.03", "3,810", "2,317", "1,453"],
+    ["Maharashtra", "4.01.2010 to \n1.2.2010", "13", "26", "1.27", "5,680", "9,027", "4,153"],
+    ["Karnataka", "2.2.2010 to \n22.2.2010", "11", "19", "1.80", "5,741", "3,658", "3,183"],
+    ["Kerala", "23.2.2010 to \n11.3.2010", "9", "17", "1.42", "3,559", "2,173", "855"],
    ["Total", "", "47", "92", "11.81", "22,455", "19,584", "10,644"]
 ]

@@ -442,11 +496,11 @@ data_lattice_copy_text = [
    ["PCCM", "San Francisco", "Family Mosaic", "25"],
    ["PCCM", "Total PHP Enrollment", "", "853"],
    ["All Models Total Enrollments", "", "", "10,132,875"],
-    ["Source:   Data Warehouse 12/14/15", "", "", ""]
+    ["Source:   Data Warehouse \n12/14/15", "", "", ""]
 ]

 data_lattice_shift_text_left_top = [
-    ["Investigations", "No. ofHHs", "Age/Sex/Physiological  Group", "Preva-lence", "C.I*", "RelativePrecision", "Sample sizeper State"],
+    ["Investigations", "No. of\nHHs", "Age/Sex/\nPhysiological  Group", "Preva-\nlence", "C.I*", "Relative\nPrecision", "Sample size\nper State"],
    ["Anthropometry", "2400", "All the available individuals", "", "", "", ""],
    ["Clinical Examination", "", "", "", "", "", ""],
    ["History of morbidity", "", "", "", "", "", ""],
@@ -455,12 +509,12 @@ data_lattice_shift_text_left_top = [
    ["", "", "Women (≥ 18 yrs)", "", "", "", "1728"],
    ["Fasting blood glucose", "2400", "Men (≥ 18 yrs)", "5%", "95%", "20%", "1825"],
    ["", "", "Women (≥ 18 yrs)", "", "", "", "1825"],
-    ["Knowledge &Practices on HTN &DM", "2400", "Men (≥ 18 yrs)", "-", "-", "-", "1728"],
+    ["Knowledge &\nPractices on HTN &\nDM", "2400", "Men (≥ 18 yrs)", "-", "-", "-", "1728"],
    ["", "2400", "Women (≥ 18 yrs)", "-", "-", "-", "1728"]
 ]

 data_lattice_shift_text_disable = [
-    ["Investigations", "No. ofHHs", "Age/Sex/Physiological  Group", "Preva-lence", "C.I*", "RelativePrecision", "Sample sizeper State"],
+    ["Investigations", "No. of\nHHs", "Age/Sex/\nPhysiological  Group", "Preva-\nlence", "C.I*", "Relative\nPrecision", "Sample size\nper State"],
    ["Anthropometry", "", "", "", "", "", ""],
    ["Clinical Examination", "2400", "", "All the available individuals", "", "", ""],
    ["History of morbidity", "", "", "", "", "", ""],
@@ -469,12 +523,12 @@ data_lattice_shift_text_disable = [
    ["Blood Pressure #", "2400", "Women (≥ 18 yrs)", "10%", "95%", "20%", "1728"],
    ["", "", "Men (≥ 18 yrs)", "", "", "", "1825"],
    ["Fasting blood glucose", "2400", "Women (≥ 18 yrs)", "5%", "95%", "20%", "1825"],
-    ["Knowledge &Practices on HTN &", "2400", "Men (≥ 18 yrs)", "-", "-", "-", "1728"],
+    ["Knowledge &\nPractices on HTN &", "2400", "Men (≥ 18 yrs)", "-", "-", "-", "1728"],
    ["DM", "2400", "Women (≥ 18 yrs)", "-", "-", "-", "1728"]
 ]

 data_lattice_shift_text_right_bottom = [
-    ["Investigations", "No. ofHHs", "Age/Sex/Physiological  Group", "Preva-lence", "C.I*", "RelativePrecision", "Sample sizeper State"],
+    ["Investigations", "No. of\nHHs", "Age/Sex/\nPhysiological  Group", "Preva-\nlence", "C.I*", "Relative\nPrecision", "Sample size\nper State"],
    ["Anthropometry", "", "", "", "", "", ""],
    ["Clinical Examination", "", "", "", "", "", ""],
    ["History of morbidity", "2400", "", "", "", "", "All the available individuals"],
@@ -484,5 +538,53 @@ data_lattice_shift_text_right_bottom = [
    ["", "", "Men (≥ 18 yrs)", "", "", "", "1825"],
    ["Fasting blood glucose", "2400", "Women (≥ 18 yrs)", "5%", "95%", "20%", "1825"],
    ["", "2400", "Men (≥ 18 yrs)", "-", "-", "-", "1728"],
-    ["Knowledge &Practices on HTN &DM", "2400", "Women (≥ 18 yrs)", "-", "-", "-", "1728"]
+    ["Knowledge &\nPractices on HTN &\nDM", "2400", "Women (≥ 18 yrs)", "-", "-", "-", "1728"]
+]
+
+data_arabic = [
+    ["ً\n\xa0\nﺎﺒﺣﺮﻣ", "ﻥﺎﻄﻠﺳ\xa0ﻲﻤﺳﺍ"],
+    ["ﻝﺎﻤﺸﻟﺍ\xa0ﺎﻨﻴﻟﻭﺭﺎﻛ\xa0ﺔﻳﻻﻭ\xa0ﻦﻣ\xa0ﺎﻧﺍ", "؟ﺖﻧﺍ\xa0ﻦﻳﺍ\xa0ﻦﻣ"],
+    ["1234", "ﻂﻄﻗ\xa047\xa0ﻱﺪﻨﻋ"],
+    ["؟ﻙﺎﺒﺷ\xa0ﺖﻧﺍ\xa0ﻞﻫ", "ﺔﻳﺰﻴﻠﺠﻧﻻﺍ\xa0ﻲﻓ\xa0Jeremy\xa0ﻲﻤﺳﺍ"],
+    ["Jeremy\xa0is\xa0ﻲﻣﺮﺟ\xa0in\xa0Arabic", ""]
+]
+
+data_stream_layout_kwargs = [
+    ["V i n s   a u   Ve r r e", ""],
+    ["Les Blancs", "12.5CL"],
+    ["A.O.P Côtes du Rhône", ""],
+    ["Domaine de la Guicharde «  Autour de la chapelle » 2016", "8 €"],
+    ["A.O.P Vacqueyras", ""],
+    ["Domaine de Montvac  « Melodine » 2016", "10 €"],
+    ["A.O.P Châteauneuf du Pape", ""],
+    ["Domaine de Beaurenard 2017", "13 €"],
+    ["A.O.P Côteaux du Languedoc", ""],
+    ["Villa Tempora « Un temps pour elle » 2014", "9 €"],
+    ["A.O.P Côtes de Provence", ""],
+    ["Château Grand Boise 2017", "9 €"],
+    ["Les Rosés", "12,5 CL"],
+    ["A.O.P Côtes du Rhône", ""],
+    ["Domaine de la Florane « A fleur de Pampre » 2016", "8 €"],
+    ["Famille Coulon (Domaine Beaurenard) Biotifulfox 2017", "8 €"],
+    ["A.O.P Vacqueyras", ""],
+    ["Domaine de Montvac 2017", "9 €"],
+    ["A.O.P Languedoc", ""],
+    ["Domaine de Joncas « Nébla » 2015", "8 €"],
+    ["Villa Tempora « L’arroseur arrosé » 2015", "9 €"],
+    ["A.O.P Côtes de Provence", ""],
+    ["Château Grand Boise « Sainte Victoire » 2017", "9 €"],
+    ["Château Léoube 2016", "10 €"],
+    ["Les Rouges", "12,CL"],
+    ["A.O.P Côtes du Rhône", ""],
+    ["Domaine de Dionysos « La Cigalette »", "8 €"],
+    ["Château Saint Estève d’Uchaux « Grande Réserve » 2014", "9 €"],
+    ["Domaine de la Guicharde « Cuvée Massillan » 2016", "9 €"],
+    ["Domaine de la Florane « Terre Pourpre » 2014", "10 €"],
+    ["L’Oratoire St Martin « Réserve des Seigneurs » 2015", "11 €"],
+    ["A.O.P Saint Joseph", ""],
+    ["Domaine Monier Perréol « Châtelet » 2015", "13 €"],
+    ["A.O.P Châteauneuf du Pape", ""],
+    ["Domaine de Beaurenard 2011", "15 €"],
+    ["A.O.P Cornas", ""],
+    ["Domaine Lionnet « Terre Brûlée » 2012", "15 €"]
 ]
@@ -62,6 +62,7 @@ def test_stream_two_tables():

    filename = os.path.join(testdir, "tabula/12s0324.pdf")
    tables = camelot.read_pdf(filename, flavor='stream')
+
    assert len(tables) == 2
    assert df1.equals(tables[0].df)
    assert df2.equals(tables[1].df)
@@ -80,7 +81,7 @@ def test_stream_columns():

    filename = os.path.join(testdir, "mexican_towns.pdf")
    tables = camelot.read_pdf(
-        filename, flavor="stream", columns=["67,180,230,425,475"], row_close_tol=10)
+        filename, flavor="stream", columns=["67,180,230,425,475"], row_tol=10)
    assert df.equals(tables[0].df)


@@ -101,6 +102,31 @@ def test_stream_flag_size():
    assert df.equals(tables[0].df)


+def test_stream_strip_text():
+    df = pd.DataFrame(data_stream_strip_text)
+
+    filename = os.path.join(testdir, "detect_vertical_false.pdf")
+    tables = camelot.read_pdf(filename, flavor="stream", strip_text="\n")
+    assert df.equals(tables[0].df)
+
+
+def test_stream_edge_tol():
+    df = pd.DataFrame(data_stream_edge_tol)
+
+    filename = os.path.join(testdir, "edge_tol.pdf")
+    tables = camelot.read_pdf(filename, flavor="stream", edge_tol=500)
+    assert df.equals(tables[0].df)
+
+
+def test_stream_layout_kwargs():
+    df = pd.DataFrame(data_stream_layout_kwargs)
+
+    filename = os.path.join(testdir, "detect_vertical_false.pdf")
+    tables = camelot.read_pdf(
+        filename, flavor="stream", layout_kwargs={"detect_vertical": False})
+    assert df.equals(tables[0].df)
+
+
 def test_lattice():
    df = pd.DataFrame(data_lattice)

@@ -178,4 +204,20 @@ def test_repr():
    tables = camelot.read_pdf(filename)
    assert repr(tables) == "<TableList n=1>"
    assert repr(tables[0]) == "<Table shape=(7, 7)>"
-    assert repr(tables[0].cells[0][0]) == "<Cell x1=120.48 y1=218.42 x2=164.64 y2=233.89>"
+    assert repr(tables[0].cells[0][0]) == "<Cell x1=120.48 y1=218.43 x2=164.64 y2=233.77>"
+
+
+def test_url():
+    url = "https://camelot-py.readthedocs.io/en/master/_static/pdf/foo.pdf"
+    tables = camelot.read_pdf(url)
+    assert repr(tables) == "<TableList n=1>"
+    assert repr(tables[0]) == "<Table shape=(7, 7)>"
+    assert repr(tables[0].cells[0][0]) == "<Cell x1=120.48 y1=218.43 x2=164.64 y2=233.77>"
+
+
+def test_arabic():
+    df = pd.DataFrame(data_arabic)
+
+    filename = os.path.join(testdir, "tabula/arabic.pdf")
+    tables = camelot.read_pdf(filename)
+    assert df.equals(tables[0].df)
@@ -50,13 +50,25 @@ def test_no_tables_found():
        assert str(e.value) == 'No tables found on page-1'


+def test_no_tables_found_logs_suppressed():
+    filename = os.path.join(testdir, 'foo.pdf')
+    with warnings.catch_warnings():
+        # the test should fail if any warning is thrown
+        warnings.simplefilter('error')
+        try:
+            tables = camelot.read_pdf(filename, suppress_stdout=True)
+        except Warning as e:
+            warning_text = str(e)
+            pytest.fail('Unexpected warning: {}'.format(warning_text))
+
+
 def test_no_tables_found_warnings_suppressed():
    filename = os.path.join(testdir, 'blank.pdf')
    with warnings.catch_warnings():
        # the test should fail if any warning is thrown
        warnings.simplefilter('error')
        try:
-            tables = camelot.read_pdf(filename, suppress_warnings=True)
+            tables = camelot.read_pdf(filename, suppress_stdout=True)
        except Warning as e:
            warning_text = str(e)
            pytest.fail('Unexpected warning: {}'.format(warning_text))
@@ -29,12 +29,20 @@ def test_grid_plot():

@pytest.mark.mpl_image_compare(
    baseline_dir="files/baseline_plots", remove_text=True)
-def test_contour_plot():
+def test_lattice_contour_plot():
    filename = os.path.join(testdir, "foo.pdf")
    tables = camelot.read_pdf(filename)
    return camelot.plot(tables[0], kind='contour')


+@pytest.mark.mpl_image_compare(
+    baseline_dir="files/baseline_plots", remove_text=True)
+def test_stream_contour_plot():
+    filename = os.path.join(testdir, "tabula/12s0324.pdf")
+    tables = camelot.read_pdf(filename, flavor='stream')
+    return camelot.plot(tables[0], kind='contour')
+
+
@pytest.mark.mpl_image_compare(
    baseline_dir="files/baseline_plots", remove_text=True)
 def test_line_plot():
@@ -49,3 +57,11 @@ def test_joint_plot():
    filename = os.path.join(testdir, "foo.pdf")
    tables = camelot.read_pdf(filename)
    return camelot.plot(tables[0], kind='joint')
+
+
+@pytest.mark.mpl_image_compare(
+    baseline_dir="files/baseline_plots", remove_text=True)
+def test_textedge_plot():
+    filename = os.path.join(testdir, "tabula/12s0324.pdf")
+    tables = camelot.read_pdf(filename, flavor='stream')
+    return camelot.plot(tables[0], kind='textedge')
Author	SHA1	Message	Date
Vinayak Mehta	ea5747c5c4	Bump version	2018-12-24 15:51:29 +05:30
Vinayak Mehta	0b85c77425	Merge pull request #236 from socialcopsdev/read_url [MRG] Add support to read from url	2018-12-24 13:29:41 +05:30
Vinayak Mehta	62ed4753cd	Make python2 compat	2018-12-24 13:10:48 +05:30
Vinayak Mehta	c78957ae5a	Update HISTORY.md	2018-12-24 13:00:19 +05:30
Vinayak Mehta	2b3461deab	Add support to read from url	2018-12-24 12:55:52 +05:30
Vinayak Mehta	0198f5527c	Update HISTORY.md	2018-12-22 11:15:55 +05:30
Vinayak Mehta	175ba32d38	Merge pull request #234 from socialcopsdev/add-060-kwargs [MRG] Add more configuration parameters	2018-12-21 16:56:30 +05:30
Vinayak Mehta	be1f0a2884	Update advanced docs	2018-12-21 16:32:44 +05:30
Vinayak Mehta	50b4468aff	Rename kwargs and add tests	2018-12-21 15:09:37 +05:30
Vinayak Mehta	f6aa21c31f	Add strip_text	2018-12-20 16:32:16 +05:30
Vinayak Mehta	a38d52c7b2	Fix plot tests	2018-12-20 15:44:28 +05:30
Vinayak Mehta	3f5af18738	Add resolution	2018-12-20 15:01:29 +05:30
Vinayak Mehta	e0090fbb0a	Add edge close tolerance	2018-12-20 13:58:54 +05:30
Vinayak Mehta	e89e147b5c	Merge pull request #232 from socialcopsdev/pdfminer_kwargs [MRG] Add option to pass pdfminer kwargs	2018-12-19 18:45:33 +05:30
Vinayak Mehta	e0cb935130	Fix docs	2018-12-19 18:45:17 +05:30
Vinayak Mehta	17d48be46e	Add test	2018-12-19 18:31:54 +05:30
Vinayak Mehta	48b2dce633	Update advanced docs	2018-12-19 18:19:39 +05:30
Vinayak Mehta	6301fee523	Fix AttributeError	2018-12-17 12:00:41 +05:30
Vinayak Mehta	01dab12fbc	Fix SyntaxError	2018-12-17 11:53:00 +05:30
Vinayak Mehta	ca6cefa362	Add extra_kwargs	2018-12-17 11:49:05 +05:30
Vinayak Mehta	d918293fea	Merge pull request #146 from eamanu/Add_usage_examples_in_the_cli_documentation [MRG + 1] Add CLI usage examples	2018-12-14 13:52:59 +05:30
Vinayak Mehta	eb7be9c8e6	Add equivalent CLI examples	2018-12-14 13:39:05 +05:30
Vinayak Mehta	3ef50f6f8d	Fix cli.rst	2018-12-14 12:57:32 +05:30
Emmanuel Arias	2dc48f43d6	Add CLI documentation, clean cli example command	2018-12-14 12:55:11 +05:30
Emmanuel Arias	d662819755	Add usage example to cli	2018-12-14 12:53:06 +05:30
Vinayak Mehta	153869fda2	Update HISTORY.md and bump version Update HISTORY.md	2018-12-13 16:46:17 +05:30
Vinayak Mehta	f8eaec4ce4	Merge pull request #227 from socialcopsdev/fix-050-bugs Fix v0.5.0 bugs	2018-12-13 16:29:47 +05:30
Vinayak Mehta	d83d5fae42	Fix tests Fix tests	2018-12-13 16:06:48 +05:30
Vinayak Mehta	69136431b6	Fix #215	2018-12-13 14:36:50 +05:30
Vinayak Mehta	ff4d8ce228	Add test for arabic	2018-12-13 13:13:07 +05:30
Vinayak Mehta	5e71f0b0e6	Fix #192	2018-12-13 12:50:30 +05:30
Vinayak Mehta	33cea45346	Fix #105	2018-12-13 00:45:22 +05:30
Vinayak Mehta	40217bea46	Merge pull request #225 from socialcopsdev/fix-204 [MRG] Change suppress_warnings to suppress_stdout	2018-12-12 10:34:08 +05:30
Vinayak Mehta	591cfd5291	Change kwarg name	2018-12-12 10:15:04 +05:30
Vinayak Mehta	de0079a711	Update HISTORY.md	2018-12-12 09:59:22 +05:30
Vinayak Mehta	e50f9c8847	Change suppress_warnings to verbose	2018-12-12 09:58:34 +05:30
Vinayak Mehta	50780e24f8	Merge pull request #224 from socialcopsdev/fix-207 [MRG] Add plot types and update docs	2018-12-12 08:53:58 +05:30
Vinayak Mehta	92e02fa03d	Update HISTORY.md	2018-12-12 08:26:59 +05:30
Vinayak Mehta	656c4e09bc	Update docs	2018-12-12 08:18:49 +05:30
Vinayak Mehta	b56d2246ad	Add new plot type tests	2018-12-12 08:09:52 +05:30
Vinayak Mehta	87a2f4fdc9	Add textedge plot type	2018-12-12 07:36:07 +05:30
Vinayak Mehta	451fac9e53	Add updated stream benchmark	2018-12-11 21:28:42 +05:30
Vinayak Mehta	649fd67c44	Rename file	2018-12-11 21:17:50 +05:30
Vinayak Mehta	e45e7478bf	Add updated stream benchmark	2018-12-11 21:16:16 +05:30
Vinayak Mehta	d6ffe0f1a9	Add pdfplumber benchmark	2018-12-11 20:34:43 +05:30
Vinayak Mehta	423e5f8aad	Merge pull request #221 from socialcopsdev/fix-217 [MRG] Fix variable name	2018-12-07 20:51:13 +05:30
Vinayak Mehta	619ce2e2a4	Fix grid plot baseline image	2018-12-07 20:22:56 +05:30
Vinayak Mehta	8d8ca6e435	Fix variable name	2018-12-07 18:45:23 +05:30