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]only keep rows of a dataframe based on a column value
df.loc[(df['column_name'] >= A) & (df['column_name'] <= B)]selecting a specific value and corrersponding value in df python
#To select rows whose column value equals a scalar, some_value, use ==:df.loc[df['favorite_color'] == 'yellow']Copyright © 2021 Codeinu
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