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pandas filter rows by value in list

df.loc[df['col name'].isin(ls_conditions)]
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pandas filter with given value

Method 1: Selecting rows of Pandas Dataframe based on particular column value using ‘>’, ‘=’, ‘=’, ‘<=’, ‘!=’ operator.

Example 1: Selecting all the rows from the given Dataframe in which ‘Percentage’ is greater than 75 using [ ].

Python3
# selecting rows based on condition 
rslt_df = dataframe[dataframe['Percentage'] > 70] 
    
print('
Result dataframe :
', rslt_df)
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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)
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