Python 中pandas.read_excel詳細(xì)介紹
#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指定為讀取幾個(gè)sheet,sheet數(shù)目從0開始#如果sheetname=[0,2],那代表讀取第0頁和第2頁的sheet#skiprows=[0]代表讀取跳過的行數(shù)第0行,不寫代表不跳過標(biāo)題#df = pd.read_excel(filefullpath, sheetname=None ,skiprows=[0])print dfprint type(df)#若果有多頁,type(df)就為<type 'dict'>#如果就一頁,type(df)就為<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)
Read an Excel table into a pandas DataFrame
參數(shù)解析:
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 主站蜘蛛池模板: 宜宾县| 夏河县| 文山县| 平顶山市| 绥宁县| 湟源县| 顺义区| 明溪县| 青川县| 黑河市| 岚皋县| 和顺县| 泰州市| 安吉县| 绥化市| 美姑县| 古丈县| 海城市| 秦安县| 德兴市| 合阳县| 金华市| 大余县| 南和县| 彭泽县| 蓬安县| 平远县| 达州市| 潮州市| 福州市| 伊吾县| 绥德县| 醴陵市| 邹平县| 手游| 沈丘县| 浪卡子县| 南宫市| 江源县| 滁州市| 张家港市|