filter data in a dataframe python on a if condition of a value</3
# filter rows in a dataframe by a condition on a column
df_filtered = df.loc[df['column'] == value]filter data in a dataframe python on a if condition of a value</3
# filter rows in a dataframe by a condition on a column
df_filtered = df.loc[df['column'] == value]filter rows pandas
newdf = df[(df.origin == "JFK") & (df.carrier == "B6")]pandas filter rows by value in list
df.loc[df['col name'].isin(ls_conditions)]pandas filter dataframe
In [96]: df
Out[96]:
A B C D
a 1 4 9 1
b 4 5 0 2
c 5 5 1 0
d 1 3 9 6
In [99]: df[(df.A == 1) & (df.D == 6)]
Out[99]:
A B C D
d 1 3 9 6how to apply filters in pandas
# filter rows for year 2002 using the boolean expression
>gapminder_2002 = gapminder[gapminder.year.eq(2002)]
>print(gapminder_2002.shape)
(142, 6)Copyright © 2021 Codeinu
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