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:
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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 |
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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