Page 94 - Informatics_Practices_Fliipbook_Class12
P. 94
17. Consider the following statements: [2022]
Statement A: .loc() is a label based data selecting method to select a specific row(s) or column(s) which we want to
select.
Statement B: .iloc( )can not be used with default indices if customized indices are provided.
a. Statement A is True but Statement B is False
b. Statement A is False but Statement B is True
c. Statement A and Statement B both are False
d. Statement A and Statement B both are True
Ans. a. Statement A is True but Statement B is False
18. Abhay is a student of class 'XII', and he is aware of some concepts of python. He has created the DataFrame, but he is
getting errors after executing the code. Help him by identifying the correct statement that will create the DataFrame:
[2022]
Code:
import pandas as pd
stuname=[Muskan', 'Radhika', Gopar', 'Pihu']
terml=[70, 63, 74, 90]
term2=[67, 70, 86, 95]
a. df=pd.DataFrame({"Name":stuname,"marks1":term1,"marks2":term2})
b. df=pd.dataframe([stuname, term1,term2], columns=['stuName',"marks1", "marks2"])
c. df=pd.DataFrame({stuname, term1,term2})
d. df=PD.dataframe({stuname, term1,term2})
Ans. a. df=pd.DataFrame({"Name":stuname,"marks1":term1,"marks2":term2})
19. Mr. Raman created a DataFrame from a Numpy array: [2022]
arr=np.array([2, 4, 8], [3, 9, 27],[4, 16, 64])
df=pd.DataFrame (arr, index=['one','two', three'], _______)
print (df)
Help him to add a customized column labels to the above DataFrame
a. columns='no', 'sq', 'cube' b. column=[no', 'sq', 'cube']
c. columns=['no', 'sq', 'cube'] d. columns=[['no', 'sq', 'cube']
Ans. c. columns=['no', 'sq', 'cube']
20. What will be the output of the following program? [2022]
import pandas as pd
dic={'Name' : ['Sapna', 'Anmol', 'Rishul','Sameep'],
'Agg':[56, 67,75, 76], 'Age': [16,18,16,19] }
df=pd.DataFrame (dic, columns= [ 'Name', 'Age'])
print (df)
a. Name Agg Age b. Name Agg Age
101 Sapna 56 16 0 Sapna 56 16
102 Anmol 67 18 1 Anmol 67 18
103 Rishul 75 16 2 Rishul 75 16
104 Sameep 76 19 3 Sameep 76 19
c. Name d. Name Age
0 Sapna 0 Sapna 16
1 Anmol 1 Anmol 18
2 Rishul 2 Rishul 16
3 Sameep 3 Sameep 19
80 Touchpad Informatics Practices-XII

