how to select rows of columb a with respect to columb b in python code example

Example 1: panda select rows where column value inferior to

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

Example 2: select rows from dataframe pandas

from pandas import DataFrame

boxes = {'Color': ['Green','Green','Green','Blue','Blue','Red','Red','Red'],
         'Shape': ['Rectangle','Rectangle','Square','Rectangle','Square','Square','Square','Rectangle'],
         'Price': [10,15,5,5,10,15,15,5]
        }

df = DataFrame(boxes, columns= ['Color','Shape','Price'])

select_color = df.loc[df['Color'] == 'Green']
print (select_color)

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']

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