python的pandas工具包，保存.csv文件时不要表头的实例_Python

用pandas处理.csv文件时，有时我们希望保存的.csv文件没有表头，于是我去看了DataFrame.to_csv的document。

发现只需要再添加header=None这个参数就行了（默认是True），

下面贴上document：

									DataFrame.to_csv(path_or_buf=None, sep=', ', na_rep='', float_format=None, columns=None, header=True, index=True, index_label=None, mode='w', encoding=None, compression=None, quoting=None, quotechar='"', line_terminator='\n', chunksize=None, tupleize_cols=None, date_format=None, doublequote=True, escapechar=None, decimal='.')

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

									path_or_buf : string or file handle, default None

									File path or object, if None is provided the result is returned as a string.

									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

									columns : sequence, optional

									Columns to write

									header : boolean or list of string, default True

									Write out the column names. If a list of strings 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

									mode : str

									Python write mode, default ‘w'

									encoding : string, optional

									A string representing the encoding to use in the output file, defaults to ‘ascii' on Python 2 and ‘utf-8' on Python 3.

									compression : string, optional

									a string representing the compression to use in the output file, allowed values are ‘gzip', ‘bz2', ‘xz', only used when the first argument is a filename

									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. If you have set a float_format then floats are converted to strings and thus csv.QUOTE_NONNUMERIC will treat them as non-numeric

									quotechar : string (length 1), default ‘”'

									character used to quote fields

									doublequote : boolean, default True

									Control quoting of quotechar inside a field

									escapechar : string (length 1), default None

									character used to escape sep and quotechar when appropriate

									chunksize : int or None

									rows to write at a time

									tupleize_cols : boolean, default False

									Deprecated since version 0.21.0: This argument will be removed and will always write each row of the multi-index as a separate row in the CSV file.

									Write MultiIndex columns as a list of tuples (if True) or in the new, expanded format, where each MultiIndex column is a row in the CSV (if False).

									date_format : string, default None

									Format string for datetime objects

									decimal: string, default ‘.'

									Character recognized as decimal separator. E.g. use ‘,' for European data

以上这篇python的pandas工具包，保存.csv文件时不要表头的实例就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持服务器之家。

原文链接：https://blog.csdn.net/xiaotao_1/article/details/78599954

python的pandas工具包，保存.csv文件时不要表头的实例

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