Select rows in python

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)

Source: datatofish.com

How to get a row of a dataframe with subset columns in python

df.iloc[1:3, 5:7]

Select rows in python

import pandas as pd

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

color_and_shape = df.loc[(df['Color'] == 'Green') & (df['Shape'] == 'Rectangle')]
print (color_and_shape)

Source: datatofish.com

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