Merge Two Excel Files with a Single Line of Python Code
This tutorial shows how to read two Excel worksheets with pandas, merge them on matching name columns using a single merge command, and save the combined data back to a new Excel file, all with just a few lines of Python code.
1 Read the tables
Import pandas and read each Excel file in three lines, then display the first five rows.
import pandas as pd
data1 = pd.read_excel('表格1.xlsx')
data1.head()Similarly read the second file:
import pandas as pd
data2 = pd.read_excel('表格2.xlsx')
data2.head()2 Merge the tables
The two sheets contain questionnaire data for the same participants but with different column names for the name field ( name in the first sheet and 姓名 in the second). Use pd.merge to align rows based on these columns.
dataMerge = pd.merge(data1, data2, left_on='name', right_on='学员姓名', how='left')The how='left' keeps all rows from the first sheet; you can change it to right, outer, or inner as needed. If the name columns have the same label, a simpler call works:
dataMerge = pd.merge(data1, data2, on='name')3 Save the merged table
Write the result to a new Excel file with a single command:
dataMerge.to_excel('合并表格.xlsx')Running this creates an Excel file that can be opened for further inspection.
Signed-in readers can open the original source through BestHub's protected redirect.
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