带有多个工作表和特定列的 pandas read_excel() [英] Pandas read_excel() with multiple sheets and specific columns

问题描述

我正在尝试使用pandas.read_excel()从电子表格中导入多个工作表.如果我不使用parse_cols关键字指定列，则可以从工作表中获取所有数据，但似乎无法弄清楚如何为每个工作表指定特定的列.

I'm trying to use pandas.read_excel() to import multiple worksheets from a spreadsheet. If I do not specify the columns with the parse_cols keyword I'm able to get all the data from the sheets, but I can't seem to figure out how to specify specific columns for each sheet.

import pandas as pd

workSheets = ['sheet1', 'sheet2', 'sheet3','sheet4']
cols = ['A,E','A,E','A,C','A,E']

df = pd.read_excel(excelFile, sheetname=workSheets, parse_cols='A:E')  #This works fine
df = pd.read_excel(excelFile, sheetname=workSheets, parse_cols=cols) #This returns empty dataFrames

有人知道是否可以使用read_excel()从excel导入多个工作表，还可以根据哪个工作表指定特定的列?

Does anyone know if there is a way, using read_excel(), to import multiple worksheets from excel, but also specify specific columns based on which worksheet?

谢谢.

推荐答案

当您将工作表名称列表传递给read_excel时，它将返回字典.您可以通过循环来实现相同的目的:

When you pass a list of sheet names to read_excel, it returns a dictionary. You can achieve the same thing with a loop:

workSheets = ['sheet1', 'sheet2', 'sheet3', 'sheet4']
cols = ['A,E', 'A,E', 'A,C', 'A,E']
df = {}
for ws, c in zip(workSheets, cols):
    df[ws] = pd.read_excel(excelFile, sheetname=ws, parse_cols=c)

以下是针对Python 3.6.5&熊猫0.23.4:

Below is update for Python 3.6.5 & Pandas 0.23.4:

pd.read_excel(excelFile, sheet_name=ws, usecols=c)

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