isolate row based on index pandas
dfObj.iloc[: , [0, 2]]
isolate row based on index pandas
dfObj.iloc[: , [0, 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)
retrieve row by index pandas
rowData = dfObj.loc[ 'b' , : ]
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