Python 中pandas.read_excel详细介绍

#coding:utf-8import pandas as pdimport numpy as npfilefullpath = r"/home/geeklee/temp/all_gov_file/pol_gov_mon/downloads/1.xls"#filefullpath = r"/home/geeklee/temp/all_gov_file/pol_gov_mon/downloads/26368f3a-ea03-46b9-8033-73615ed07816.xls"df = pd.read_excel(filefullpath,skiprows=[0])#df = pd.read_excel(filefullpath, sheetname=[0,2],skiprows=[0])#sheetname指定为读取几个sheet，sheet数目从0开始#如果sheetname=[0,2]，那代表读取第0页和第2页的sheet#skiprows=[0]代表读取跳过的行数第0行，不写代表不跳过标题#df = pd.read_excel(filefullpath, sheetname=None ,skiprows=[0])print dfprint type(df)#若果有多页，type(df)就为<type 'dict'>#如果就一页，type(df)就为<class 'pandas.core.frame.DataFrame'>#{0:dataframe,1:dataframe,2:dataframe}

pandas.read_excel(io, sheetname=0, header=0, skiprows=None, skip_footer=0, index_col=None, names=None, parse_cols=None, parse_dates=False, date_parser=None, na_values=None, thousands=None, convert_float=True, has_index_names=None, converters=None, engine=None, squeeze=False, **kwds)

io : string, path object (pathlib.Path or py._path.local.LocalPath),  file-like object, pandas ExcelFile, or xlrd workbook. The string could be a URL. Valid URL schemes include http, ftp, s3, and file. For file URLs, a host is expected. For instance, a local file could be file://localhost/path/to/workbook.xlsxsheetname : string, int, mixed list of strings/ints, or None, default 0  Strings are used for sheet names, Integers are used in zero-indexed sheet positions.  Lists of strings/integers are used to request multiple sheets.  Specify None to get all sheets.  str|int -> DataFrame is returned. list|None -> Dict of DataFrames is returned, with keys representing sheets.  Available Cases    Defaults to 0 -> 1st sheet as a DataFrame    1 -> 2nd sheet as a DataFrame    “Sheet1” -> 1st sheet as a DataFrame    [0,1,”Sheet5”] -> 1st, 2nd & 5th sheet as a dictionary of DataFrames    None -> All sheets as a dictionary of DataFramesheader : int, list of ints, default 0  Row (0-indexed) to use for the column labels of the parsed DataFrame. If a list of integers is passed those row positions will be combined into a MultiIndexskiprows : list-like  Rows to skip at the beginning (0-indexed)skip_footer : int, default 0  Rows at the end to skip (0-indexed)index_col : int, list of ints, default None  Column (0-indexed) to use as the row labels of the DataFrame. Pass None if there is no such column. If a list is passed, those columns will be combined into a MultiIndexnames : array-like, default None  List of column names to use. If file contains no header row, then you should explicitly pass header=Noneconverters : dict, default None  Dict of functions for converting values in certain columns. Keys can either be integers or column labels, values are functions that take one input argument, the Excel cell content, and return the transformed content.parse_cols : int or list, default None    If None then parse all columns,    If int then indicates last column to be parsed    If list of ints then indicates list of column numbers to be parsed    If string then indicates comma separated list of column names and column ranges (e.g. “A:E” or “A,C,E:F”)squeeze : boolean, default False  If the parsed data only contains one column then return a Seriesna_values : list-like, default None  List of additional strings to recognize as NA/NaNthousands : str, default None  Thousands separator for parsing string columns to numeric. Note that this parameter is only necessary for columns stored as TEXT in Excel, any numeric columns will automatically be parsed, regardless of display format.keep_default_na : bool, default True  If na_values are specified and keep_default_na is False the default NaN values are overridden, otherwise they're appended toverbose : boolean, default False  Indicate number of NA values placed in non-numeric columnsengine: string, default None  If io is not a buffer or path, this must be set to identify io. Acceptable values are None or xlrdconvert_float : boolean, default True  convert integral floats to int (i.e., 1.0 –> 1). If False, all numeric data will be read in as floats: Excel stores all numbers as floats internallyhas_index_names : boolean, default None  DEPRECATED: for version 0.17+ index names will be automatically inferred based on index_col. To read Excel output from 0.16.2 and prior that had saved index names, use True.

parsed : DataFrame or Dict of DataFrames  DataFrame from the passed in Excel file. See notes in sheetname argument for more information on when a Dict of Dataframes is returned.