Pandas filter rows by value

Only keep rows of a dataframe based on a column value

df.loc[(df['column_name'] >= A) & (df['column_name'] <= B)]

Source: stackoverflow.com

Pandas filter rows by value in list

df.loc[df['col name'].isin(ls_conditions)]

Pandas filter rows by value

# does year equals to 2002?
# is_2002 is a boolean variable with True or False in it
>is_2002 =  gapminder['year']==2002
>print(is_2002.head())
0    False
1    False
2    False
3    False
4    False
# filter rows for year 2002 using  the boolean variable
>gapminder_2002 = gapminder[is_2002]
>print(gapminder_2002.shape)
(142, 6)

Source: cmdlinetips.com

Panda - subset based on column value

import pandas as pd
import numpy as np
df = pd.DataFrame({'A': 'foo bar foo bar foo bar foo foo'.split(),
                   'B': 'one one two three two two one three'.split(),
                   'C': np.arange(8), 'D': np.arange(8) * 2})
print(df)
sub_df = df.loc[df['A'] == 'foo'] # Subset based on specific A value

Source: stackoverflow.com

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