How can I substitute the missing data with corresponding values from another dataframe?

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To substitute missing data with corresponding values from another dataframe, you could use the fillna method along with the other parameter. Here's an example:

import pandas as pd df1 = pd.DataFrame({'A': [1, 2, 3, None, 5], 'B': [6, None, 8, 9, 10]}) df2 = pd.DataFrame({'A': [11, 12, 13, 14, 15], 'B': [16, 17, 18, 19, 20]}) filled_df = df1.fillna(df2) print(filled_df) 

In this example, df1 is the dataframe containing the missing values and df2 is the dataframe with the corresponding values. The fillna method is then used to fill in the missing values in df1 with the corresponding values from df2. The resulting dataframe (filled_df) will contain all the values from df1, except the missing ones will be filled in with the corresponding values from df2.