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Concatenating DataFrames vertically in Pandas
schedule Aug 10, 2023
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Tags Python●Pandas
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To concatenate DataFrames vertically in Pandas, use the concat(~) method.
Matching column labels
Consider the following two DataFrames:
To vertically concatenate the two DataFrames:
A B0 3 51 4 60 7 91 8 10
To reset the index index of the resulting DataFrame, add ignore_index=True:
A B0 3 51 4 62 7 93 8 10
Non-matching column labels
Consider two DataFrames where there is a mismatch in the column labels:
To concatenate the two DataFrames vertically:
A B C0 3.0 5 NaN1 4.0 6 NaN0 NaN 7 9.01 NaN 8 10.0
Notice how end up with some missing values. This is because the concat(~) method performs vertical concatenation based on matching column labels.
To perform a perfect vertical concatenation of DataFrames, you could ensure their column labels match. For instance, you could reset their column labels to integers like so:
This allows us to perform a vertical concatenation without missing values:
0 10 3 51 4 60 7 91 8 10
Published by Isshin Inada
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