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Filling missing value in Index of Pandas DataFrame

Pandas
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Data Manipulation Cookbook
schedule Jul 1, 2022
Last updated
local_offer PythonPandas
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tocTable of Contents
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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 B
0 3 6
2 4 7
3 5 8

To fill the missing entry in the index, use the reindex(~) method like so:

df.reindex([0,1,2,3])
A B
0 3.0 6.0
1 NaN NaN
2 4.0 7.0
3 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 B
0 3 6
1 0 0
2 0 0
3 5 8
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Published by Isshin Inada
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