将熊猫数据框写入一个 excel 文件

Question

I'm trying to write the data from 2 excel files into one file. Of course the code below only writes the data from the first sheet into the consolidated sheet because the loop ends when writing the data from the first sheet. I think the solution is to keep the data from the first sheet, then append and then write to the sheet. But how? Today I'm too dumb finding the solution.

import pandas as pd

xlsInPath = "some path to sheets but all have one sheet with name 2019"
xlsFiles = ['test1.xlsx', 'test2.xlsx']
sheetName = ['2019']

df = pd.DataFrame({})

for xlsF in xlsFiles:
    FN = xlsInPath + xlsF
    print(FN)
    data1 = pd.read_excel(FN, sheet_name=sheetName, header=1, skiprows=0, engine='xlrd')
    print(data1)
    df.append(data1, ignore_index=True)
    df = pd.concat(data1)
    df.to_excel (r'C:\\Users\\A\\out\\Name.xlsx', sheet_name='Sheet_name_1', index=False, header=None)

Answer 1

I think that your problem is that you are writing the dataframe to excel in the loop. Move the last line in your loop outside the loop, then you will be pasting the entire dataframe into the spreadsheet at once instead of one sheet at a time. There may or may not be another problem in your code, but I would at least try that.

Answer 2

The solution is:

import pandas as pd

xlsInPath = "C:\\Users\\in\\"
xlsOutPath = "C:\\Users\\out\\"
xlsInFiles = ['test1.xlsx', 'test2.xlsx']
xlsOutFile = 'ConcatResult.xlsx'

sheetName = '2019'  
# must be string if only 1 worksheet otherwise a list of strings

df = pd.DataFrame()

for xlsF in xlsInFiles:
    FN = xlsInPath + xlsF
    print(FN)
    xd = pd.read_excel(FN, sheet_name=sheetName, header=0, skiprows=0, engine='xlrd')
    # needs header here line 0 first line to recognize the equal columns
    print('##XD\n', xd)

    df = pd.concat([df, xd], axis=0, ignore_index=True, sort=False)  
    # needs a list of concatanable DataFrames

print('##DF\n', df)
df.to_excel(r''+xlsOutPath+xlsOutFile, sheet_name=sheetName, index=False, header=1)