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df pop

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Wolf in PenguinMug answered on August 19, 2022 Popularity 7/10 Helpfulness 1/10

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pandas df pop

>>> df = pd.DataFrame([('falcon', 'bird', 389.0),
...                    ('parrot', 'bird', 24.0),
...                    ('lion', 'mammal', 80.5),
...                    ('monkey', 'mammal', np.nan)],
...                   columns=('name', 'class', 'max_speed'))
>>> df
     name   class  max_speed
0  falcon    bird      389.0
1  parrot    bird       24.0
2    lion  mammal       80.5
3  monkey  mammal        NaN

# return the Series 
# and column in original df will be removed
>>> df.pop('class')
0      bird
1      bird
2    mammal
3    mammal
Name: class, dtype: object

>>> df
     name  max_speed
0  falcon      389.0
1  parrot       24.0
2    lion       80.5
3  monkey        NaN

Popularity 7/10 Helpfulness 1/10 Language python

Source: Grepper

Tags: python

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Contributed on Feb 18 2023

Wolf in PenguinMug

0 Answers Avg Quality 2/10

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df pop

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df.pop('class')
0      bird
1      bird
2    mammal
3    mammal
Name: class, dtype: object

Popularity 9/10 Helpfulness 2/10 Language python

Source: pandas.pydata.org

Tags: python py

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Contributed on Aug 19 2022

Athul Mathew

0 Answers Avg Quality 2/10

pandas pop

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df.pop('string')

Popularity 9/10 Helpfulness 1/10 Language python

Source: pandas.pydata.org

Tags: python pandas pa

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Contributed on Aug 19 2022

Athul Mathew

0 Answers Avg Quality 2/10

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