Add Series.from_csv with some tests

pandas/core/series.py

@@ -1700,6 +1700,27 @@ def hist(self, ax=None, grid=True, **kwds):
 
         return ax
 
+    @classmethod
+    def from_csv(cls, path, sep=',', parse_dates=True):
+        """
+        Read delimited file into Series
+
+        Parameters
+        ----------
+        path : string
+        sep : string, default ','
+            Field delimiter
+        parse_dates : boolean, default True
+            Parse dates. Different default from read_table
+
+        Returns
+        -------
+        y : Series
+        """
+        from pandas.core.frame import DataFrame
+        df = DataFrame.from_csv(path, header=None, sep=sep, parse_dates=parse_dates)
+        return df[df.columns[0]]
+
     def to_csv(self, path):
         """
         Write the Series to a CSV file

pandas/tests/test_series.py

@@ -4,6 +4,7 @@
 import os
 import operator
 import unittest
+import cStringIO as StringIO
 
 import nose
 
@@ -1065,6 +1066,28 @@ def test_rank(self):
 
         assert_almost_equal(ranks, exp)
 
+    def test_from_csv(self):
+        self.ts.to_csv('_foo')
+        ts = Series.from_csv('_foo')
+        assert_series_equal(self.ts, ts)
+
+        self.series.to_csv('_foo')
+        series = Series.from_csv('_foo')
+        assert_series_equal(self.series, series)
+
+        outfile = open('_foo', 'w')
+        outfile.write('1998-01-01|1.0\n1999-01-01|2.0')
+        outfile.close()
+        series = Series.from_csv('_foo',sep='|')
+        checkseries = Series({datetime(1998,1,1): 1.0, datetime(1999,1,1): 2.0})
+        assert_series_equal(checkseries, series)
+
+        series = Series.from_csv('_foo',sep='|',parse_dates=False)
+        checkseries = Series({'1998-01-01': 1.0, '1999-01-01': 2.0})
+        assert_series_equal(checkseries, series)
+
+        os.remove('_foo')
+
     def test_to_csv(self):
         self.ts.to_csv('_foo')