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I have an Excel workbook named budget.xlsx, which has two worksheets: sheet1 & sheet2.

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Let’s read both the worksheets into DataFrames:

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import pandas as pd\n\nbudget1 = pd.read_excel("budget.xlsx", sheet_name="sheet2").drop_duplicates()\n\nbudget1
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Output:

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budget2 = pd.read_excel("budget.xlsx", sheet_name="sheet1").drop_duplicates()\n\nbudget2
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Output:

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Note that both the DataFrames have the Store Code column in common.

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Our goal is to join the July’19 Achievement column from the budget2 DataFrame to the budget 1 DataFrame.

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We can do so using the join() method.

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The Store Code column, present in both the DataFrames, will act as the key for the joining operation.

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budget1.set_index(keys="Store Code").join(budget2.set_index(keys="Store Code")).reset_index()
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Learn how to convert a column into an index in my blog post here.
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Output:

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