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)pandas df by row index
indices = [133, 22, 19, 203, 14, 1]
df_by_indices = df.iloc[indices, :]access column pandas
Report_Card.loc[:,"Grades"]
The first argument ( : ) signifies which rows we would like to index,
and the second argument (Grades) lets us index the column we wanthow to access pandas column
#columns in Pandas documentation
#import numpy as np
import pandas as pd
a = pd.DataFrame()
b = pd.DataFrame([[1,2,3,4],[5,6,7,8],[2,7,3,23],[3,6,8,23],[23,23,63,12]],columns=['A', 'B', 'C', 'D'])
print(b)Copyright © 2021 Codeinu
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