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Filling missing value in Index of Pandas DataFrame
schedule Aug 10, 2023
Last updated local_offer
Tags Python●Pandas
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Consider the following DataFrame with a missing index value (1):
df = pd.DataFrame({"A":[3,4,5],"B":[6,7,8]}, index=[0,2,3])df
A B0 3 62 4 73 5 8
To fill the missing entry in the index, use the reindex(~) method like so:
df.reindex([0,1,2,3])
A B0 3.0 6.01 NaN NaN2 4.0 7.03 5.0 8.0
Instead of filling the new row with NaN, you can specify a value to fill with:
df.reindex([0,1,2,3], fill_value=0)
A B0 3 61 0 02 0 03 5 8
Published by Isshin Inada
Edited by 0 others
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