select a specific row in pandas code example

Example 1: select specific rows from dataframe in python

select_color = df.loc[df['Color'] == 'Green']

Example 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)

Example 3: pandas return specific row

df.iloc[1] # replace index integer with specific row number

Example 4: how to use loc and iloc in pandas

>>> df.iloc[0, 1]
2

Example 5: iloc and loc

iloc - default indexes (system generated)
loc - table indexes or we manually given indexes