panda select rows where column value inferior to
df.loc[df['column_name'] == some_value]
panda select rows where column value inferior to
df.loc[df['column_name'] == some_value]
how to select rows based on column value pandas
df.loc[df['column_name'] == some_value]
dataframe slice by list of values
In [4]: df[~df['A'].isin([3, 6])]
Out[4]:
A B
0 5 1
3 4 5
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