Python Pandas
Authored by Learning VG
Computers
12th Grade
Used 72+ times
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Give the output of the following code:
>>>import pandas as pd
>>>dict1 = {'AR' : 100, 'VR' : 200, 'AI' : 300}
>>>ser = pd.Series(dict1)
>>>print(ser[1])
AR
100
VR
200
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
print(ser[2,4])
print(ser[[2:4]])
print(ser[[2,4]])
print(ser[2,3,4])
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
print(ser[[1,3]])
print(ser[1:3])
print(ser[[1:3]])
print(ser[1,3])
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Let us suppose ser is a series. What will be the print statement to display last 3 elements?
print(ser.head(3))
print(ser.tail(3))
print(ser.head())
print(ser.tail())
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What will be the print statement to display the elements of a series series1 from end till beginning in step 2?
print(series1[::-2])
print(series1[::2])
print(series1[:-2:])
print(series1[:2:])
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
pd.DataFrame(DICT1, columns=["NAME","DOB"])
pd.DataFrame(DICT1, index=["NAME","DOB"])
pd.DataFrame(DICT1, index=["NAME":"DOB"])
pd.DataFrame(DICT1, columns=["NAME":"DOB"])
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
print(pd.DataFrame(DICT1, index=[1,2,3], columns=["NAME","SCODE"]))
print(pd.DataFrame(DICT1, index=[501,502,503], columns=["NAME","SCODE"]))
print(pd.DataFrame(DICT1, index=[501,502,503], columns=["NAME":"SCODE"]))
print(pd.DataFrame(DICT1, index=[501:503], columns=["NAME","SCODE"]))
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