keep rows dataframe equal to code example

Example 1: panda select rows where column value inferior to

df.loc[df['column_name'] == some_value]

Example 2: return rows based on column

df.loc[(df['column_name'] >= A) & (df['column_name'] <= B)]

Example 3: 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']