pandas select rows by multiple conditions

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Grieving Goose answered on March 30, 2020 Popularity 10/10 Helpfulness 5/10

answer pandas select rows by multiple conditions

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pandas select rows by multiple conditions

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>>> df["A"][(df["B"] > 50) & (df["C"] == 900)]
2    5
3    8
Name: A, dtype: int64
    
>>> df.loc[(df["B"] > 50) & (df["C"] == 900), "A"]
2    5
3    8
Name: A, dtype: int64
>>> df.loc[(df["B"] > 50) & (df["C"] == 900), "A"].values
array([5, 8], dtype=int64)
>>> df.loc[(df["B"] > 50) & (df["C"] == 900), "A"] *= 1000
>>> df
      A   B    C
0     9  40  300
1     9  70  700
2  5000  70  900
3  8000  80  900
4     7  50  900

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Source: stackoverflow.com

Tags: multiple-conditions pandas python rows select

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Contributed on Mar 30 2020

Grieving Goose

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select rows with multiple conditions pandas query

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df.loc[(df['Salary_in_1000']>=100) & (df['Age']< 60) & (df['FT_Team'].str.startswith('S')),['Name','FT_Team']]

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Source: kanoki.org

Tags: multiple-conditions mult

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Contributed on Jun 20 2020

Blue-eyed Buzzard

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select rows with multiple conditions pandas query

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df.query('Salary_in_1000 >= 100 & Age < 60 & FT_Team.str.startswith("S").values')

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Source: kanoki.org

Tags: multiple-conditions mult

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Contributed on Jun 20 2020

Blue-eyed Buzzard

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get df based on multiple conditions in column

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user_df[user_df['colA'].isnull() & user_df['colB'] > 0]

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Source: Grepper

Tags: get multiple-conditions multiple

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Contributed on Oct 19 2022

Rishabh Kesarwani

0 Answers Avg Quality 2/10

pandas multiple between conditions

Comment

Filter a dataframe using multiple between conditions

df = df[
 	df['colA'].between(-0.10, 0.10)
  & df['colB'].between(-0.10, 0.10)
]

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Source: Grepper

Tags: between

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Contributed on Mar 29 2023

Trained Tuna

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Filter DataFrame with multiple conditions

Comment

df['good_or_east'] = df['team'].str.contains('|'.join(['Good', 'East']))

Popularity 9/10 Helpfulness 2/10 Language python

Source: Grepper

Tags: dataframe data

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Contributed on Feb 14 2023

Bright Baboon

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select rows with multiple conditions pandas query

Comment

df.loc[idx]

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Source: kanoki.org

Tags: multiple-conditions mult

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Contributed on Jun 20 2020

Blue-eyed Buzzard

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pandas select rows by multiple conditions

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pandas select rows by multiple conditions

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select rows with multiple conditions pandas query

select rows with multiple conditions pandas query

get df based on multiple conditions in column

pandas multiple between conditions

Filter DataFrame with multiple conditions

select rows with multiple conditions pandas query

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