pandas select columns by index

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#select columns with index positions 1 and 3
df.iloc[:, [1, 3]]
dfObj.iloc[: , [0, 2]]
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)
df1 = df.iloc[:,0:2] # Remember that Python does not slice inclusive of the ending index.

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