pandas.DataFrame.to_csv

DataFrame.to_csv(path_or_buf, sep=', ', na_rep='', float_format=None, cols=None, header=True, index=True, index_label=None, mode='w', nanRep=None, encoding=None, quoting=None, line_terminator='n', chunksize=None, tupleize_cols=False, date_format=None, **kwds)

Write DataFrame to a comma-separated values (csv) file

Parameters :

path_or_buf : string or file handle / StringIO

File path

sep : character, default ”,”

Field delimiter for the output file.

na_rep : string, default ‘’

Missing data representation

float_format : string, default None

Format string for floating point numbers

cols : sequence, optional

Columns to write

header : boolean or list of string, default True

Write out column names. If a list of string is given it is assumed to be aliases for the column names

index : boolean, default True

Write row names (index)

index_label : string or sequence, or False, default None

Column label for index column(s) if desired. If None is given, and header and index are True, then the index names are used. A sequence should be given if the DataFrame uses MultiIndex. If False do not print fields for index names. Use index_label=False for easier importing in R

nanRep : None

deprecated, use na_rep

mode : str

Python write mode, default ‘w’

encoding : string, optional

a string representing the encoding to use if the contents are non-ascii, for python versions prior to 3

line_terminator : string, default ‘\n’

The newline character or character sequence to use in the output file

quoting : optional constant from csv module

defaults to csv.QUOTE_MINIMAL

chunksize : int or None

rows to write at a time

tupleize_cols : boolean, default False

write multi_index columns as a list of tuples (if True) or new (expanded format) if False)

date_format : string, default None

Format string for datetime objects.