Python之Pandas:pandas.DataFrame.to_csv函数的简介、具体案例、使用方法详细攻略

一个处女座的程序猿 2020-11-13 05:49:00
Python pandas dataframe pandas.dataframe.to_csv


Python之Pandas:pandas.DataFrame.to_csv函数的简介、具体案例、使用方法详细攻略

 

 

 

 

目录

pandas.DataFrame.to_csv函数的简介

pandas.to_csv()函数的具体案例


 

 

 

pandas.DataFrame.to_csv函数的简介

DataFrame.to_csv(path_or_buf=Nonesep=','na_rep=''float_format=Nonecolumns=Noneheader=Trueindex=Trueindex_label=Nonemode='w'encoding=Nonecompression='infer'quoting=Nonequotechar='"'line_terminator=Nonechunksize=Nonedate_format=Nonedoublequote=Trueescapechar=Nonedecimal='.'errors='strict')

def to_csv Found at: pandas.core.generic

def to_csv(
    self, 
    path_or_buf:Optional[FilePathOrBuffer]=None, 
    sep:str=",", 
    na_rep:str="", 
    float_format:Optional[str]=None, 
    columns:Optional[Sequence[Label]]=None, 
    header:Union[bool_tList[str]]=True, 
    index:bool_t=True, 
    index_label:Optional[Union[bool_tstrSequence[Label]]]
     =None, 
    mode:str="w", 
    encoding:Optional[str]=None, 
    compression:Optional[Union[strMapping[strstr]]]="infer", 
    quoting:Optional[int]=None, 
    quotechar:str='"', 
    line_terminator:Optional[str]=None, 
    chunksize:Optional[int]=None, 
    date_format:Optional[str]=None, 
    doublequote:bool_t=True, 
    escapechar:Optional[str]=None, 
    decimal:Optional[str]=".", 
    errors:str="strict")->
Optional[str]:
    r"""
    Write object to a comma-separated values (csv) file.
    
    .. versionchanged:: 0.24.0
    The order of arguments for Series was changed.

将对象写入逗号分隔值(csv)文件

    Parameters
    ----------
    path_or_buf : str or file handle, default None. File path or object, if None is provided the result is returned as a string.  If a file object is passed it should be opened with `newline=''`, disabling universal newlines.
    .. versionchanged:: 0.24.0
    Was previously named "path" for Series.
    
    sep : str, default ','. String of length 1. Field delimiter for the output file.
    na_rep : str, default ''. Missing data representation.
    float_format : str, default None. Format string for floating point numbers.
    columns : sequence, optional. Columns to write.
    header : bool or list of str, default True.Write out the column names. If a list of strings is given it is assumed to be aliases for the column names.
    .. versionchanged:: 0.24.0
    Previously defaulted to False for Series.
    
    index : bool, default True. Write row names (index).
    index_label : str 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 object 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 : str, optional.A string representing the encoding to use in the output file, defaults to 'utf-8'.
    compression : str or dict, default 'infer'. If str, represents compression mode. If dict, value at 'method'  is  the compression mode. Compression mode may be any of the following
    possible values: {'infer', 'gzip', 'bz2', 'zip', 'xz', None}. If compression mode is 'infer' and `path_or_buf` is path-like, then detect compression mode from the following extensions: '. gz', '.bz2', '.zip' or '.xz'. (otherwise no compression). If dict given  and mode is one of {'zip', 'gzip', 'bz2'}, or inferred as one of the above, other entries passed as additional compression options.

   .. versionchanged:: 1.0.0
    May now be a dict with key 'method' as compression mode and other entries as additional compression options if compression mode is 'zip'.
    .. versionchanged:: 1.1.0
    Passing compression options as keys in dict is  supported for compression modes 'gzip' and 'bz2'  as well as 'zip'.

参数
----------
path_or_buf :  str或file handle,默认无。文件路径或对象,如果没有提供,结果将作为字符串返回。如果一个文件对象被传递,它应该被打开' newline= " ',禁用通用换行。
. .versionchanged: 0.24.0
之前被命名为“path”系列。

sep : str,默认为','。长度为1的字符串。输出文件的字段分隔符
na_rep :  str,默认值"。缺失的数据表示
float_format :  str,默认没有。浮点数的格式字符串
columns :  序列,可选。列写。
header :  bool或str列表,默认为True。写出列名。如果给定了字符串列表,则假定它是列名的别名
. .versionchanged: 0.24.0
以前对于级数默认为False。

index :  bool,默认为True。写行名称(索引)
iindex_label :  str或序列,或False,默认无。如果需要,用于索引列的列标签。如果没有给出,并且' header '和' index '为真,则使用索引名。如果对象使用多索引,则应该给出一个序列。如果为False,不要打印索引名称的字段。使用index_label=False在R中更容易导入。
mode : str.Python编写模式,默认为“w”。
encoding : str,可选。表示要在输出文件中使用的编码的字符串,默认为“utf-8”。
compression : str或dict,默认为'infer'。如果为str,表示压缩模式。如果是dict, value at 'method'是压缩模式。压缩模式可以是下列任何一种
possible values:   {'infer', 'gzip', 'bz2', 'zip', 'xz', None}.。如果压缩模式是'infer',而' path_or_buf '是类似路径的,那么从以下扩展中检测压缩模式:'。 '. gz', '.bz2', '.zip' or '.xz'. 。(否则不压缩)。如果dict given和mode是{'zip'、'gzip'、'bz2'}或推断为上述选项之一,则其他项作为附加压缩选项传递。

. .versionchanged: 1.0.0
如果压缩模式是“zip”,则可以使用关键的“方法”作为压缩模式,其他条目作为附加的压缩选项。
. .versionchanged: 1.1.0
压缩模式“gzip”和“bz2”以及“zip”支持将压缩选项作为键在dict中传递。

   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 : str, default '\"'. String of length 1. Character used to quote fields.
    line_terminator : str, optional. The newline character or character sequence to use in the  output file. Defaults to `os.linesep`, which depends on the OS in which this method is called ('\n' for linux, '\r\n' for Windows, i.e.).
    .. versionchanged:: 0.24.0
    chunksize : int or None. Rows to write at a time.
    date_format : str, default None.Format string for datetime objects.
    doublequote : bool, default True. Control quoting of `quotechar` inside a field.
    escapechar : str, default None. String of length 1. Character used to escape `sep` and  `quotechar` when appropriate.
    decimal : str, default '.'. Character recognized as decimal separator. E.g. use ',' for European data.
    errors : str, default 'strict'.Specifies how encoding and decoding errors are to be handled. See the errors argument for :func:`open` for a full list of options.
    .. versionadded:: 1.1.0

quoting :  csv模块中的可选常量。默认为csv.QUOTE_MINIMAL。如果你设置了一个' float_format ',那么float就会被转换为字符串,从而转换为csv。QUOTE_NONNUMERIC将把它们视为非数值。
quoting : str,默认为'\"'。长度为1的字符串。用于引用字段的字符
line_terminator : str,可选。输出文件中要使用的换行字符或字符序列。默认的操作系统。linesep ',它取决于调用该方法的操作系统(例如,linux是'\n', Windows是'\r\n')。
. .versionchanged: 0.24.0
chunksize : int或None。每次要写入的行
date_format :  str,默认无。日期时间对象的格式字符串。
doublequote :bool,默认为True。控制字段内引用“quotechar”。
escapechar : str,默认无。长度为1的字符串。在适当的时候,字符用于转义' sep '和' quotechar '
decimal :  str,默认为'.'。可识别为十进制分隔符的字符。例如,使用“,”表示欧洲数据。
errors :  str,默认为“strict”。指定如何处理编码和解码错误。查看:func: ' open '的错误参数以获得选项的完整列表。
. .versionadded: 1.1.0
    Returns
    -------
    None or str.  If path_or_buf is None, returns the resulting csv format as a string. Otherwise returns None.
    
    See Also
    --------
    read_csv : Load a CSV file into a DataFrame.
    to_excel : Write DataFrame to an Excel file.
返回
-------
如果path_or_buf为None,则返回结果csv格式为字符串。否则返回None。

另请参阅
 --------
read_csv:将CSV文件加载到一个DataFrame中。
to_excel:将DataFrame写入Excel文件。

    Examples
    --------
    >>> df = pd.DataFrame({'name': ['Raphael', 'Donatello'],
    ...                    'mask': ['red', 'purple'],
    ...                    'weapon': ['sai', 'bo staff']})
    >>> df.to_csv(index=False)
    'name,mask,weapon\nRaphael,red,sai\nDonatello,purple,bo 
     staff\n'
    
    Create 'out.zip' containing 'out.csv'
    
    >>> compression_opts = dict(method='zip',
    ...                         archive_name='out.csv')  # doctest: +SKIP
    >>> df.to_csv('out.zip', index=False,
    ...           compression=compression_opts)  # doctest: +SKIP
    """
    df = self if isinstance(self, ABCDataFrame) else self.to_frame()
    from pandas.io.formats.csvs import CSVFormatter
    formatter = CSVFormatter(
        df, 
        path_or_buf, 
        line_terminator=line_terminator, 
        sep=sep, 
        encoding=encoding, 
        errors=errors, 
        compression=compression, 
        quoting=quoting, 
        na_rep=na_rep, 
        float_format=float_format, 
        cols=columns, 
        header=header, 
        index=index, 
        index_label=index_label, 
        mode=mode, 
        chunksize=chunksize, 
        quotechar=quotechar, 
        date_format=date_format, 
        doublequote=doublequote, 
        escapechar=escapechar, 
        decimal=decimal)
    formatter.save()
    if path_or_buf is None:
        return formatter.path_or_buf.getvalue()
    return None

# ----------------------------------------------------------------------
# Lookup Caching

 

 

 

 

 

pandas.to_csv()函数的具体案例

df = pd.DataFrame({'name': ['Raphael', 'Donatello'],
'mask': ['red', 'purple'],
'weapon': ['sai', 'bo staff']})
df.to_csv(index=False)
'name,mask,weapon\nRaphael,red,sai\nDonatello,purple,bo staff\n'
compression_opts = dict(method='zip',
archive_name='out.csv')
df.to_csv('out.zip', index=False,
compression=compression_opts) 

 

 

 

 

 

版权声明
本文为[一个处女座的程序猿]所创,转载请带上原文链接,感谢
https://yunyaniu.blog.csdn.net/article/details/109320605

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