Update HISTORY.md and bump version

Update HISTORY.md

HISTORY.md

@@ -4,6 +4,23 @@ Release History
 master
 ------
 
+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)
 ------------------
 

camelot/__version__.py

@@ -1,6 +1,6 @@
 # -*- coding: utf-8 -*-
 
-VERSION = (0, 4, 1)
+VERSION = (0, 5, 0)
 PRERELEASE = None # alpha, beta or rc
 REVISION = None
 

camelot/cli.py

@@ -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.')
@@ -44,7 +45,6 @@ pass_config = click.make_pass_decorator(Config)
               ' font size. Useful to detect super/subscripts.')
 @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"""
@@ -96,7 +96,7 @@ 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 +117,7 @@ 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:
@@ -138,7 +138,7 @@ def lattice(c, *args, **kwargs):
 @click.option('-c', '--col_close_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 +149,7 @@ 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 +169,7 @@ 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:

camelot/core.py

@@ -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:

camelot/handlers.py

@@ -125,7 +125,7 @@ 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, **kwargs):
         """Extracts tables by calling parser.get_tables on all single
         page PDFs.
 
@@ -134,6 +134,8 @@ 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.
         kwargs : dict
             See camelot.read_pdf kwargs.
 
@@ -151,6 +153,6 @@ class PDFHandler(object):
                      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)
                 tables.extend(t)
         return TableList(tables)

camelot/io.py

@@ -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, **kwargs):
     """Read PDF and return extracted tables.
 
     Note: kwargs annotated with ^ can only be used with flavor='stream'
@@ -24,8 +24,8 @@ 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)
+    suppress_stdout : bool, optional (default: True)
-        Prevent warnings from being emitted by Camelot.
+        Print all logs and warnings.
     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
@@ -92,11 +92,11 @@ 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, **kwargs)
         return tables

camelot/parsers/lattice.py

@@ -271,10 +271,11 @@ 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['horizontal'].sort(key=lambda x: (-x.y0, x.x0))
-            t_bbox[direction].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)
@@ -308,7 +309,9 @@ class Lattice(BaseParser):
         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,
@@ -341,12 +344,14 @@ 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):
+    def extract_tables(self, filename, suppress_stdout=False):
         self._generate_layout(filename)
-        logger.info('Processing {}'.format(os.path.basename(self.rootname)))
+        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(

camelot/parsers/stream.py

@@ -263,6 +263,7 @@ class Stream(BaseParser):
         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 +273,7 @@ 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:
@@ -291,10 +293,11 @@ 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)
-        self.t_bbox = t_bbox
 
-        for direction in self.t_bbox:
+        t_bbox['horizontal'].sort(key=lambda x: (-x.y0, x.x0))
-            self.t_bbox[direction].sort(key=lambda x: (-x.y0, x.x0))
+        t_bbox['vertical'].sort(key=lambda x: (x.x0, -x.y0))
+
+        self.t_bbox = t_bbox
 
         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)
@@ -348,8 +351,11 @@ 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,
@@ -378,12 +384,14 @@ class Stream(BaseParser):
         table._text = _text
         table._image = None
         table._segments = None
+        table._textedges = self.textedges
 
         return table
 
-    def extract_tables(self, filename):
+    def extract_tables(self, filename, suppress_stdout=False):
         self._generate_layout(filename)
-        logger.info('Processing {}'.format(os.path.basename(self.rootname)))
+        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(

camelot/plotting.py

@@ -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,
+                    fill=False,
-                    edgecolor='red'
+                    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):

camelot/utils.py

@@ -344,9 +344,9 @@ 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)
     else:
-        fstring = ''.join([t.get_text() for t in textline]).strip('\n')
+        fstring = ''.join([t.get_text() for t in textline])
     return fstring
 
 
@@ -419,7 +419,7 @@ def split_textline(table, textline, direction, flag_size=False):
             grouped_chars.append((key[0], key[1], flag_font_size([t[2] for t in chars], direction)))
         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)))
     return grouped_chars
 
 
@@ -500,7 +500,7 @@ def get_table_index(table, t, direction, split_text=False, flag_size=False):
         if flag_size:
             return [(r_idx, c_idx, flag_font_size(t._objs, direction))], error
         else:
-            return [(r_idx, c_idx, t.get_text().strip('\n'))], error
+            return [(r_idx, c_idx, t.get_text())], error
 
 
 def compute_accuracy(error_weights):

docs/benchmark/lattice/agstat/agstat-data-pdfplumber.csv

@@ -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"

docs/benchmark/lattice/column_span_1/column_span_1-data-pdfplumber.csv

@@ -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"

docs/benchmark/lattice/rotated/rotated-data-pdfplumber.csv

@@ -0,0 +1,18 @@
+"0","1","2"
+"","e
+bl
+a
+ail
+v
+a
+ 
+t
+o
+n
+ 
+a
+t
+a
+D
+ 
+*",""

docs/benchmark/lattice/twotables_1/twotables_1-data-pdfplumber.csv

@@ -0,0 +1,3 @@
+"0"
+"Sl."
+"No."

docs/benchmark/lattice/twotables_2/twotables_2-data-pdfplumber.csv

@@ -0,0 +1,3 @@
+"0"
+"Table 6 : DISTRIBUTION (%) OF HOUSEHOLDS BY LITERACY STATUS OF"
+"MALE HEAD OF THE HOUSEHOLD"

docs/benchmark/stream/12s0324/12s0324-data-camelot-page-1-table-1.csv

@@ -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.","","","","","","","",""

docs/benchmark/stream/12s0324/12s0324-data-camelot-page-1-table-2.csv

@@ -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,","","","",""

docs/benchmark/stream/birdisland/birdisland-data-camelot-page-1-table-1.csv

@@ -1,35 +1,43 @@
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-"StineStine","","19RA02 §19RA02 §","RR2YRR2Y","1 91.9","RR","CMBCMB","55.355.3","7 67.6","00","","120 0120.0","","$830$830"
+"SOIL DESCRIPTION:","","C","Canisteo clay loam, mod. well drained, non-irrigated","","","","","","","","","","",""
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+"SOIL CONDITIONS:","","","High P, high K, 6.7 pH, 3.9% OM, Low SCN","","","","","","","","","","","30"" ROW SPACING"
-"H ftHefty","","H17Y12H17Y12","RR2YRR2Y","1 71.7","MRMR","II","53 753.7","7 77.7","00","","124 4124.4","","$806$806"
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+"SEEDED - RATE:","","May 15M15","140,000 /A140 000 /A","","","","","","","","TOP 30 foTOP 30 for YIELD of 63 TESTED","","YIELD of 63 TESTED",""
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+"","Company/Brandpy","Product/Brand†","","Technol.†","Mat.","Resist.","Trmt.†","Bu/A","%","%","","(x 1000)(",")","Income"
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+"","KrugerKruger","K2-1901K2 1901","","RR2YRR2Y","1.91.9","RR","Ac,PVAc,PV","56.456.4","7.67.6","00","","126.3126.3","","$846$846"
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+"","StineStine","19RA02 §19RA02 §","","RR2YRR2Y","1 91.9","RR","CMBCMB","55.355.3","7 67.6","00","","120 0120.0","","$830$830"
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+"","WensmanWensman","W 3190NR2W 3190NR2","","RR2YRR2Y","1 91.9","RR","AcAc","54 554.5","7 67.6","00","","119 5119.5","","$818$818"
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+"","H ftHefty","H17Y12H17Y12","","RR2YRR2Y","1 71.7","MRMR","II","53 753.7","7 77.7","00","","124 4124.4","","$806$806"
-"ChannelChannel","","1700R21700R2","RR2YRR2Y","1 71.7","RR","Ac PVAc,PV","52 352.3","7 97.9","00","","123 9123.9","","$784$784"
+"","Dyna-Gro","S15RY53","","RR2Y","1.5","R","Ac","53.6","7.7","0","","126.8","","$804"
-"H ftHefty","","H16Y11H16Y11","RR2YRR2Y","1 61.6","MRMR","II","51 451.4","7 67.6","00","","123 9123.9","","$771$771"
+"","LG SeedsLG Seeds","C2050R2C2050R2","","RR2YRR2Y","2.12.1","RR","AcAc","53.653.6","7.77.7","00","","123.9123.9","","$804$804"
-"Anderson","","162R2Y","RR2Y","1.6","R","None","51.3","7.5","0","","119.5","","$770"
+"","Titan ProTitan Pro","19M4219M42","","RR2YRR2Y","1.91.9","RR","CMBCMB","53.653.6","7.77.7","00","","121.0121.0","","$804$804"
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+"","StineStine","19RA02 (2) §19RA02 (2) §","","RR2YRR2Y","1 91.9","RR","CMBCMB","53 453.4","7 77.7","00","","123 9123.9","","$801$801"
-"DairylandDairyland","","DSR-1710R2YDSR-1710R2Y","RR2YRR2Y","1 71.7","RR","CMBCMB","51 351.3","7 77.7","00","","122 0122.0","","$769$769"
+"","AsgrowAsgrow","AG1832 §AG1832 §","","RR2YRR2Y","1 81.8","MRMR","Ac PVAc,PV","52 952.9","7 77.7","00","","122 0122.0","","$794$794"
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+"","Prairie Brandiid","PB-1566R2662","","RR2Y2","1.5","R","CMB","52.8","7.7","0","","122.9","","$792$"
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+"","Channel","1901R2","","RR2Y","1.9","R","Ac,PV,","52.8","7.6","0","","123.4","","$791$"
-"Gold Country","","1741","RR2Y","1.7","R","Ac","50.1","7.8","0","","123.9","","$751"
+"","Titan ProTitan Pro","20M120M1","","RR2YRR2Y","2.02.0","RR","AmAm","52.552.5","7.57.5","00","","124.4124.4","","$788$788"
-"Trelaye ay","","20RR4303","RR2Y","2.00","R","Ac,Exc,","49.99 9","7.66","00","","127.88","","$749$9"
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+"","Anderson","162R2Y","","RR2Y","1.6","R","None","51.3","7.5","0","","119.5","","$770"
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+"","Titan ProTitan Pro","15M2215M22","","RR2YRR2Y","1.51.5","RR","CMBCMB","51.351.3","7.87.8","00","","125.4125.4","","$769$769"
-"NK Brand","","S18-C2 §§","RR2Y","1.8","R","CMB","48.7","7.7","0","","126.8","","$731$"
+"","DairylandDairyland","DSR-1710R2YDSR-1710R2Y","","RR2YRR2Y","1 71.7","RR","CMBCMB","51 351.3","7 77.7","00","","122 0122.0","","$769$769"
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+"","HeftyHefty","H20R3H20R3","","RR2YRR2Y","2 02.0","MRMR","II","50 550.5","8 28.2","00","","121 0121.0","","$757$757"
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-"Gold CountryGold Country","","15411541","RR2YRR2Y","1 51.5","RR","AcAc","48 448.4","7 67.6","00","","110 4110.4","","$726$726"
+"","Gold Country","1741","","RR2Y","1.7","R","Ac","50.1","7.8","0","","123.9","","$751"
-"","","","","","","Test Average  =","47 647.6","7 77.7","00","","122 9122.9","","$713$713"
+"","Trelaye ay","20RR4303","","RR2Y","2.00","R","Ac,Exc,","49.99 9","7.66","00","","127.88","","$749$9"
-"","","","","","","LSD (0.10)  =","5.7","0.3","ns","","37.8","","566.4"
+"","HeftyHefty","H14R3H14R3","","RR2YRR2Y","1.41.4","MRMR","II","49.749.7","7.77.7","00","","122.9122.9","","$746$746"
-"","F.I.R.S.T. Managerg","","","","","C.V.  =","8.8","2.9","","","56.4","","846.2"
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+"","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"

docs/benchmark/stream/birdisland/birdisland-data-camelot-page-1-table-2.csv

@@ -0,0 +1,39 @@
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+"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"

docs/benchmark/stream/district_health/district_health-data-pdfplumber.csv

@@ -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","","","",""

docs/benchmark/stream/health/health-data-pdfplumber.csv

@@ -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",""
+"","","","","","","","","","","","","","","","","","","","","","","",""

docs/benchmark/stream/missing_values/missing_values-data-pdfplumber.csv

@@ -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","","","",""

docs/user/advanced.rst

@@ -41,8 +41,9 @@ 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.
 
@@ -143,6 +144,23 @@ 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()
+
+.. 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
 -------------------
 

docs/user/cli.rst

@@ -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.
+    -v, --verbose                   Verbose.
     -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:

tests/data.py

@@ -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"],
+    ["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  .  .  .  .  .  .  .  . .  . .  . .  . .  . .  .", "467 .9", "69 .1", "398 .8", "380 .2", "56 .5", "323 .7", "87 .7", "12 .6", "75 .2"],
+    ["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"],
+    ["manslaughter . . . . . . . .\n. .\n. .\n. .\n. .\n.", "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", "–", "–", "–"],
+    ["Forcible rape . . . . . . . .\n. .\n. .\n. .\n. .\n. .", "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"],
+    ["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  . . . . . . . .. .. ..", "338.4", "40.1", "298.3", "264.0", "30.2", "233.8", "74.4", "9.9", "64.5"],
+    ["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  .  .  .  . .  . .  .  . .  .  . . .  .  .  .", "1,396 .4", "338 .7", "1,057 .7", "875 .9", "210 .8", "665 .1", "608 .2", "127 .9", "392 .6"],
+    ["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 . .. . . . . .. ... .... .... ..", "240.9", "60.3", "180.6", "205.0", "53.4", "151.7", "35.9", "6.9", "29.0"],
+    ["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 . . . . . . . .. .. .. .. .. .", "1,080.1", "258.1", "822.0", "608.8", "140.5", "468.3", "471.3", "117.6", "353.6"],
+    ["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 . . . . .. .. . .... .", "65.6", "16.0", "49.6", "53.9", "13.3", "40.7", "11.7", "2.7", "8.9"],
+    ["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 .. . . . .. . ... .... .... .... .", "9.8", "4.3", "5.5", "8.1", "3.7", "4.4", "1.7", "0.6", "1.1"],
+    ["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 .. . . . . .. . ... . ... ..", "1,061.3", "175.3", "886.1", "785.4", "115.4", "670.0", "276.0", "59.9", "216.1"],
+    ["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 .. . . . . . ..", "68.9", "1.7", "67.2", "42.9", "1.2", "41.7", "26.0", "0.5", "25.5"],
+    ["Forgery and counterfeiting .\n. . . . . . .\n.", "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"],
+    ["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 . . .. . . . .. . ... . ....", "14.6", "–", "14.1", "7.2", "–", "6.9", "7.4", "–", "7.2"],
+    ["Embezzlement . . .\n. . . . .\n. . .\n.\n. . .\n.\n.\n.", "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"],
+    ["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  . . . . . . . .. .. .. .. .. ....", "217.4", "72.7", "144.7", "178.1", "62.8", "115.3", "39.3", "9.9", "29.4"],
+    ["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",
+    ["Prostitution and commercialized vice", "56.9", "1.1", "55.8", "17.3", "–", "17.1", "39.6", "0.8", "38.7"],
-    "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"],
-    ["Sex offenses 2  . . . . .. . . . .. .. .. . ..", "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"],
-    ["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 .\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"],
-    ["Gambling .. . . . . .. ... . ... . ... ...", "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"],
+    ["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 . . . . . .. .", "1,158.5", "109.2", "1,147.5", "895.8", "8.2", "887.6", "262.7", "2.7", "260.0"],
+    ["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  . . . . . . . .. .. .. .. .. .. .", "48.2", "90.2", "368.0", "326.8", "55.4", "271.4",
+    ["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"],
-    "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"],
-    ["Drunkenness . . .. . . . .. . ... . ... ..", "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"],
-    ["Disorderly conduct . .. . . . . . .. .. .. .", "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"],
-    ["Vagrancy . . . .. . . . ... .... .... ...", "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"],
-    ["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 . . . .\n. . . .\n. .\n. .\n. .\n. .\n. .\n. . .\n.", "1.6", "–", "1.4", "1.2", "–", "1.0", "–", "–", "–"],
-    ["Suspicion . . . .. . . .. .. .. .. .. .. . ..", "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)"],
-    ["Curfew and loitering law violations  ..", "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)"],
-    ["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.", "", "", "", "", "", "", "", ""]
 ]
@@ -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", "", "", "",
+    ["Offense charged", "", "", "", "Indian/Alaskan", "Asian Pacific"],
-    "Indian/Alaskan", "Asian Pacific"],
     ["", "Total", "White", "Black", "Native", "Islander"],
-    ["Total  . . . . .  . .  .  . .  .  . . .  .  . . .  .  . .  . . .  .  . . . . .  . .  . .  .", "10,690,561", "7,389,208", "3,027,153", "150,544", "123,656"],
+    ["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  .  .  .  .  .  .  .  . .  . .  . .  . .  . . . .  . .  . . . . . .  .", "456,965", "268,346", "177,766", "5,608", "5,245"],
+    ["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 . .. ... .", "9,739", "4,741", "4,801", "100", "97"],
+    ["Murder and nonnegligent manslaughter . .\n. .\n.\n. .", "9,739", "4,741", "4,801", "100", "97"],
-    ["Forcible rape . . . . . . . .. .. .. .. .... .. ...... .", "16,362", "10,644", "5,319", "169", "230"],
+    ["Forcible rape . . . . . . . .\n. .\n. .\n. .\n. .\n.\n.\n. .\n. .\n.\n.\n.\n.\n. .", "16,362", "10,644", "5,319", "169", "230"],
-    ["Robbery . . . . .. . . . ... . ... . .... .... .... . . .", "100,496", "43,039", "55,742", "726", "989"],
+    ["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  . . . . . . . .. .. ...... .. ....", "330,368", "209,922", "111,904", "4,613", "3,929"],
+    ["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  .  .  .  .  . .  .  .  .  . . .  .  . . .  . . . . .  . . .  . . .", "1,364,409", "922,139", "406,382", "17,599", "18,289"],
+    ["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 . . .. . . . .. . .... .... .... .... ... . . .", "234,551", "155,994", "74,419", "2,021", "2,117"],
+    ["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 . . . . . . . .. .. .. .. .... .. ...... .", "1,056,473", "719,983", "306,625", "14,646", "15,219"],
+    ["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 . . . . . .. ... . ... ..... ... ..", "63,919", "39,077", "23,184", "817", "841"],
+    ["Motor vehicle theft . . . . . .\n. .\n.\n. . .\n.\n. .\n.\n.\n.\n. .\n.\n. .\n.", "63,919", "39,077", "23,184", "817", "841"],
-    ["Arson .. . . .. .. .. ... .... .... .... .... . . . . .", "9,466", "7,085", "2,154", "115", "112"],
+    ["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 .. . . . . . ... . ... . ... ..... ... ..", "1,032,502", "672,865", "332,435", "15,127", "12,075"],
+    ["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 .. . . . . . ... ..... .. ..", "67,054", "44,730", "21,251", "345", "728"],
+    ["Forgery and counterfeiting .\n. . . . . . .\n.\n. .\n.\n.\n.\n. .\n. .\n.", "67,054", "44,730", "21,251", "345", "728"],
-    ["Fraud ... . . . . .. .. .. .. .. .. .. .. .. .... . . . . . .", "161,233", "108,032", "50,367", "1,315", "1,519"],
+    ["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 . . . .. . . . ... . ... . .... ... .....", "13,960", "9,208", "4,429", "75", "248"],
+    ["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 .. .", "82,714", "51,953", "29,357", "662", "742"],
+    ["Stolen property; buying, receiving, possessing .\n. .", "82,714", "51,953", "29,357", "662", "742"],
-    ["Vandalism  . . . . . . . .. .. .. .. .. .. .... .. ..... .", "212,173", "157,723", "48,746", "3,352", "2,352"],
+    ["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. .. .. ... .. .", "130,503", "74,942", "53,441", "951", "1,169"],
+    ["Weapons—carrying, possessing, etc. .\n. .\n. .\n.\n. .\n. .", "130,503", "74,942", "53,441", "951", "1,169"],
-    ["Prostitution and commercialized vice  . ... .. .. ..", "56,560", "31,699", "23,021", "427", "1,413"],
+    ["Prostitution and commercialized vice  . .\n.\n. .\n. .\n. .\n.", "56,560", "31,699", "23,021", "427", "1,413"],
-    ["Sex offenses 1 . . . . . . . .. .. .. .. .... .. ...... .", "60,175", "44,240", "14,347", "715", "873"],
+    ["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  . . . . . . . .. . ..... .. .....", "1,301,629", "845,974", "437,623", "8,588", "9,444"],
+    ["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 . . . . .. . . . ... . ... . .. ... . ...... .. .", "8,046", "2,290", "5,518", "27", "211"],
+    ["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 ... .. .. .", "87,232", "58,068", "26,850", "1,690", "624"],
+    ["Offenses against the family and children .\n.\n. .\n. .\n. .", "87,232", "58,068", "26,850", "1,690", "624"],
-    ["Driving under the influence . . . . . . .. ... ...... .", "1,105,401", "954,444", "121,594", "14,903", "14,460"],
+    ["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  . . . . . . . .. .. .. .. .. . ..... .. .....", "444,087", "373,189", "50,431", "14,876", "5,591"],
+    ["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 . .. . . . . . ... . ... . ..... . .......", "469,958", "387,542", "71,020", "8,552", "2,844"],
+    ["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 . . .. . . . . .. .. . ..... .. .....", "515,689", "326,563", "176,169", "8,783", "4,174"],
+    ["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 . . .. .. . . .. ... .... .... .... .... . . .", "26,347", "14,581", "11,031", "543", "192"],
+    ["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) . .. .. .. ..... ..", "2,929,217", "1,937,221", "911,670", "43,880", "36,446"],
+    ["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 . . .. . . . .. .. .. .. .. .. .. ...... .. . . .", "1,513", "677", "828", "1", "7"],
+    ["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  . .. ... .. ....", "89,578", "54,439", "33,207", "872", "1,060"],
+    ["Curfew and loitering law violations  . .\n. .\n.\n. .\n. .\n.\n.\n.", "89,578", "54,439", "33,207", "872", "1,060"],
-    ["Runaways  . . . . . . . .. .. .. .. .. .. .... .. ..... .", "73,616", "48,343", "19,670", "1,653", "3,950"],
+    ["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"],
@@ -316,8 +313,8 @@ data_stream_flag_size = [
 ]
 
 data_lattice = [
-    ["Cycle Name", "KI (1/km)", "Distance (mi)", "Percent Fuel Savings", "", "", ""],
+    ["Cycle \nName", "KI \n(1/km)", "Distance \n(mi)", "Percent Fuel Savings", "", "", ""],
-    ["", "", "", "Improved Speed", "Decreased Accel", "Eliminate Stops", "Decreased Idle"],
+    ["", "", "", "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 +323,7 @@ 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 +340,7 @@ 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 +356,7 @@ 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 +373,7 @@ 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 +389,13 @@ 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", "", "", "", "", "", ""],
+    ["Rajasthan", "2.12.2009 to \n19.12.2009", "", "", "", "", "", ""],
-    ["Gujarat", "20.12.2009 to 3.1.2010", "6", "13", "6.03", "3,810", "2,317", "1,453"],
+    ["Gujarat", "20.12.2009 to \n3.1.2010", "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"],
+    ["Maharashtra", "4.01.2010 to \n1.2.2010", "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"],
+    ["Karnataka", "2.2.2010 to \n22.2.2010", "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"],
+    ["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 +439,11 @@ 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 +452,12 @@ 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 +466,12 @@ 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 +481,13 @@ 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', '']
 ]

tests/test_common.py

@@ -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)
@@ -179,3 +180,11 @@ def test_repr():
     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>"
+
+
+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)

tests/test_errors.py

@@ -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))

tests/test_plotting.py

@@ -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')