how to select rows based on column value pandas
df.loc[df['column_name'] == some_value]how to select rows based on column value pandas
df.loc[df['column_name'] == some_value]Select rows from a DataFrame based on column values?
#To select rows whose column value equals a scalar, some_value, use ==:
df.loc[df['A'] == 'foo']
#To select rows whose column value is in an iterable, some_values, use isin:
df.loc[df['B'].isin(['one','three'])]
#Combine multiple conditions with &:
df.loc[(df['column_name'] >= A) & (df['column_name'] <= B)]Copyright © 2021 Codeinu
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