DOC: update read_csv docs

RELEASE.rst

@@ -18,9 +18,9 @@ analysis / manipulation tool available in any language.
 Where to get it
 ---------------
 
-Source code: http://github.com/wesm/pandas
-Binary installers on PyPI: http://pypi.python.org/pypi/pandas
-Documentation: http://pandas.sourceforge.net
+* Source code: http://github.com/wesm/pandas
+* Binary installers on PyPI: http://pypi.python.org/pypi/pandas
+* Documentation: http://pandas.sourceforge.net
 
 pandas 0.5.0
 ============

pandas/io/parsers.py

@@ -62,13 +62,17 @@ def read_csv(filepath_or_buffer, sep=None, header=0, index_col=None, names=None,
 
 def read_table(filepath_or_buffer, sep='\t', header=0, index_col=None,
                names=None, skiprows=None, na_values=None, parse_dates=False,
-               date_parser=None):
+               date_parser=None, nrows=None, iterator=False, chunksize=None):
     return read_csv(filepath_or_buffer, sep=sep, header=header,
                     skiprows=skiprows, index_col=index_col,
                     na_values=na_values, date_parser=date_parser,
-                    names=names, parse_dates=parse_dates)
+                    names=names, parse_dates=parse_dates,
+                    nrows=nrows, iterator=iterator, chunksize=chunksize)
 
-_parser_params = """Parameters
+_parser_params = """Also supports optionally iterating or breaking of the file
+into chunks.
+
+Parameters
 ----------
 filepath_or_buffer : string or file handle / StringIO
 %s
@@ -79,15 +83,26 @@ def read_table(filepath_or_buffer, sep='\t', header=0, index_col=None,
 index_col : int or sequence, default None
     Column to use as the row labels of the DataFrame. If a sequence is
     given, a MultiIndex is used.
+names : array-like
+    List of column names
 na_values : list-like, default None
     List of additional strings to recognize as NA/NaN
 parse_dates : boolean, default False
     Attempt to parse dates in the index column(s)
 date_parser : function
     Function to use for converting dates to strings. Defaults to
     dateutil.parser
-names : array-like
-    List of column names"""
+nrows : int, default None
+    Number of rows of file to read. Useful for reading pieces of large files
+iterator : boolean, default False
+    Return TextParser object
+chunksize : int, default None
+    Return TextParser object for iteration
+
+Returns
+-------
+result : DataFrame or TextParser
+"""
 
 _csv_sep = """sep : string, default None
     Delimiter to use. By default will try to automatically determine

pandas/io/tests/test_parsers.py

@@ -239,6 +239,7 @@ def test_read_chunksize(self):
 
     def test_iterator(self):
         reader = read_csv(StringIO(self.data1), index_col=0, iterator=True)
+
         df = read_csv(StringIO(self.data1), index_col=0)
 
         chunk = reader.get_chunk(3)
@@ -258,6 +259,10 @@ def test_iterator(self):
         assert_frame_equal(chunks[1], df[2:4])
         assert_frame_equal(chunks[2], df[4:])
 
+        treader = read_table(StringIO(self.data1), sep=',', index_col=0,
+                             iterator=True)
+        self.assert_(isinstance(treader, TextParser))
+
     def test_header_not_first_line(self):
         data = """got,to,ignore,this,line
 got,to,ignore,this,line