Page 83 - Informatics_Practices_Fliipbook_Class12
P. 83
Determine the output of the following statements:
(i) print(df.ndim)
(ii) print(df.shape)
(iii) print(df.index)
(iv) print(df.columns)
(v) print(df.head(5))
(vi) print(df.tail(2))
(vii) print(df.iloc[2])
(viii) print(df.loc[1,'Name'])
(ix) print(df.set_index('Name'))
(x) print(df[df['Age'] > 28])
(xi) print(df[df['Height'] > 28])
Ans. (i) 2
(ii) (4, 5)
(iii) RangeIndex(start=0, stop=4, step=1)
(iv) Index(['Name', 'Age', 'Gender', 'Height', 'Weight'], dtype='object')
(V) Name Age Gender Height Weight
0 Rohan 25 M 175 70
1 Jasmine 30 F 160 55
2 Mohit 28 M 180 80
3 Anshika 32 F 165 60
(vi) Name Age Gender Height Weight
2 Mohit 28 M 180 80
3 Anshika 32 F 165 60
(vii) Name Mohit
Age 28
Gender M
Height 180
Weight 80
Name: 2, dtype: object
(viii) 'Jasmine'
(ix) Name Age Gender Height Weight
Rohan 25 M 175 70
Jasmine 30 F 160 55
Mohit 28 M 180 80
Anshika 32 F 165 60
(x) Name Age Gender Height Weight
1 Jasmine 30 F 160 55
3 Anshika 32 F 165 60
(xi) Name Age Gender Height Weight
0 Rohan 25 M 175 70
1 Jasmine 30 F 160 55
2 Mohit 28 M 180 80
3 Anshika 32 F 165 60
Data Handling using Pandas DataFrame 69

