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Pandas DataFrame | explode method

Programming
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Python
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Pandas
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Documentation
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DataFrame
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Sorting and Restructuring DataFrames
schedule Jul 1, 2022
Last updated
local_offer PythonPandas
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Pandas DataFrame.explode(~) method unwraps array-likes such as lists, tuples, Series and NumPy arrays vertically. If the array-like is empty, a missing value (NaN) will be placed for that row.

Note that the indexes will be duplicated for the unwrapped rows.

Parameters

1. column | string or tuple of string

The label of the columns to unwrap.

Return Value

A new DataFrame with the array-likes unwrapped.

Examples

Consider the following DataFrame that contains some lists:

df = pd.DataFrame({"A":[1,[2,3],[]], "B":[4,5,6]})
df
A B
0 1 4
1 [2,3] 5
2 [] 6

To unwrap all the lists in column A:

df.explode("A")
A B
0 1 4
1 2 5
1 3 5
2 NaN 6

Notice the following:

  • the row that had [] is now NaN.

  • the index 1 appears twice since it contained a list of 2 items.

* * *

As a side note, to reset the index, you can use reset_index(~) like so:

df.explode("A").reset_index(drop=True)
A B
0 1 4
1 2 5
2 3 5
3 NaN 6
robocat
Published by Isshin Inada
Edited by 0 others
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