python基础教程：Python 中pandas.read_excel详细介绍

这篇文章主要介绍了Python 中pandas.read_excel详细介绍的相关资料,需要的朋友可以参考下
Python 中pandas.read_excel详细介绍

#coding:utf-8
import pandas as pd
import numpy as np
 
filefullpath = 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 df
print 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)

Read an Excel table into a pandas DataFrame
参数解析：

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.xlsx
 
sheetname : 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 DataFrames
 
header : 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 MultiIndex
 
skiprows : 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 MultiIndex
 
names : array-like, default None
 
  List of column names to use. If file contains no header row, then you should explicitly pass header=None
 
converters : 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 Series
 
na_values : list-like, default None
 
  List of additional strings to recognize as NA/NaN
 
thousands : 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 to
 
verbose : boolean, default False
 
  Indicate number of NA values placed in non-numeric columns
 
engine: string, default None
 
  If io is not a buffer or path, this must be set to identify io. Acceptable values are None or xlrd
 
convert_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 internally
 
has_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.

return返回的结果

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.

最后给大家推荐一个资源很全的python学习聚集地，[点击进入]，这里有我收集以前学习心得，学习笔记，还有一线企业的工作经验，且给大定on零基础到项目实战的资料，大家也可以在下方，留言，把不懂的提出来，大家一起学习进步