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)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)Copyright © 2021 Codeinu
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