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Adding missing dates in Datetime Index in Pandas DataFrame

Programming
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Python
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Pandas
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Handling Missing Values
schedule Mar 9, 2022
Last updated
local_offer PythonPandas
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Example

Consider the following DataFrame:

index_date = pd.date_range(start="2020-12-20", end="2020-12-23", freq="2D")
df = pd.DataFrame({"A":[2,3],"B":[4,5]}, index=index_date)
df
A B
2020-12-20 2 4
2020-12-22 3 5

Notice how we have a missing date in the index of df.

Solution

We can add the missing date in the DatetimeIndex by replacing it with a new index using reindex(~):

new_date_range = pd.date_range(start="2020-12-20", end="2020-12-22", freq="D")
df.reindex(new_date_range, fill_value=0)
A B
2020-12-20 2 4
2020-12-21 0 0
2020-12-22 3 5
robocat
Published by Isshin Inada
Edited by 0 others
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