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This article introduces how to use pandas to merge two excel tables in python, the content is very detailed, interested friends can refer to it, I hope it can be helpful to you.

In our work, we often encounter situations where we need to merge the records in the table, as shown in the following figure:

The following results need to be obtained:

I'll do the above with a few lines of python code:

Import pandas as pd

# read table 1 (parameters are 1 workbook name and its directory, 2 which table)

Df1 = pd.read_excel (ringing DureGetMyExcelUniple 1.xlsxexamples, 'Sheet1')

# read table 2 (parameters are 1 workbook name and its directory, 2 which table)

Df2 = pd.read_excel (ringing DureGetMyExcelUniple 2.xlsxexamples, 'Sheet1')

# join the results by row. The input parameter is the list, and the content in the list is the content you need to merge.

Df = pd.concat ([df1, df2])

# to output the result to an excel table, you need to set index=None

# index means that when reading a table, pandas will add an index per row by default if it is not specified, and the default added index needs to be deleted when outputting

Df.to_excel (ringing excel excel) about how to use pandas to merge two Excelsio tables in python is here. I hope the above content can help you to learn more knowledge. If you think the article is good, you can share it for more people to see.

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