@@ -436,16 +436,19 @@ def from_csv(cls, path, header=0, sep=',', index_col=0,
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Field delimiter
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index_col : int or sequence, default 0
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Column to use for index. If a sequence is given, a MultiIndex
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- is used.
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+ is used. Different default from read_table
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+ parse_dates : boolean, default True
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+ Parse dates. Different default from read_table
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Notes
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-----
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- Will attempt to convert index to datetimes for time series
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- data. Use read_table for more options
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+ Preferable to use read_table for most general purposes but from_csv
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+ makes for an easy roundtrip to and from file, especially with a
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+ DataFrame of time series data
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Returns
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-------
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- y : DataFrame or DataFrame
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+ y : DataFrame
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"""
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from pandas .io .parsers import read_table
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return read_table (path , header = header , sep = sep ,
@@ -469,9 +472,8 @@ def to_sparse(self, fill_value=None, kind='block'):
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default_kind = kind ,
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default_fill_value = fill_value )
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- def to_csv (self , path , na_rep = '' , cols = None , header = True ,
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- index = True , index_label = None , mode = 'w' , sep = "," ,
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- nanRep = None ):
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+ def to_csv (self , path , sep = "," , na_rep = '' , cols = None , header = True ,
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+ index = True , index_label = None , mode = 'w' , nanRep = None ):
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"""
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Write DataFrame to a comma-separated values (csv) file
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@@ -482,6 +484,7 @@ def to_csv(self, path, na_rep='', cols=None, header=True,
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nanRep : string, default ''
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Missing data rep'n
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cols : sequence, optional
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+ Columns to write
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header : boolean, default True
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Write out column names
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index : boolean, default True
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