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Support different delimiters for to_csv #244

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2 participants

@lbeltrame

This pull requests implements delimter support into to_csv. A number of analysis tools expects TSV files rather than CSV files, and this is a simple solution to the problem.

The delimiter parameter is by default ",", hence there are no side effects with existing code.

@wesm
Owner

thanks! merged it into master

@wesm wesm closed this
@wesm
Owner

i'm going to change the argument name to sep instead of delimiter to conform with read_csv and read_table

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Showing with 4 additions and 2 deletions.
  1. +4 −2 pandas/core/frame.py
View
6 pandas/core/frame.py
@@ -469,7 +469,7 @@ def to_sparse(self, fill_value=None, kind='block'):
default_fill_value=fill_value)
def to_csv(self, path, nanRep='', cols=None, header=True,
- index=True, index_label=None, mode='w'):
+ index=True, index_label=None, mode='w', delimiter=","):
"""
Write DataFrame to a comma-separated values (csv) file
@@ -489,9 +489,11 @@ def to_csv(self, path, nanRep='', cols=None, header=True,
`header` and `index` are True, then the index names are used. A
sequence should be given if the DataFrame uses MultiIndex.
mode : Python write mode, default 'w'
+ delimiter : character, default ","
+ Field delimiter for the output file.
"""
f = open(path, mode)
- csvout = csv.writer(f, lineterminator='\n')
+ csvout = csv.writer(f, lineterminator='\n', delimiter=delimiter)
if cols is None:
cols = self.columns
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