Python Pandas

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

• print(ser[2,4])

• print(ser[[2:4]])

• print(ser[[2,4]])

• print(ser[2,3,4])

• print(ser[[1,3]])

• print(ser[1:3])

• print(ser[[1:3]])

• print(ser[1,3])

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())

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:])

• pd.DataFrame(DICT1, columns=["NAME","DOB"])

• pd.DataFrame(DICT1, index=["NAME","DOB"])

• pd.DataFrame(DICT1, index=["NAME":"DOB"])

• pd.DataFrame(DICT1, columns=["NAME":"DOB"])

• 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"]))

• DICT1.drop(504, axis=0)

• DICT1.drop(4, axis=0)

• DICT1.drop(504, axis=1)

• DICT1.drop(4, axis=1)

• DICT1[4]>=500

• DICT1["SCORE"]>=500

• DICT1["SCORE"]<=500

• DICT1["SCORE">=500]

• DICT1.loc[502:505]

• DICT1.loc[:,502:505]

• DICT1.iloc[1:5]

• DICT1.iloc[1:4]