Write the output of the following code: import pandas as pd Import numpy as np S = pd.Series(np.random.randn(4)) print(S.ndim)210None of the above

Q.7 What will be output for the following code?import pandas as pdimport numpy as nps = pd.Series(np.random.randn(4))print s.ndim1. 02. 13. 24. 3

What will be the output of following code: import pandas as pd S = pd.Series([11,12,13,14,15,16]) S[1:4] = 20 S = list(S) print(S)[11, 20, 20, 20, 15, 16][20, 20, 20, 20, 15, 16][20, 12, 13, 20, 15, 16][11, 20, 13, 20, 15, 16]

Complete the given Python code to get the required output as: Rajasthanimport _________ as pddi = {'Corbett': 'Uttarakhand', 'Sariska':'Rajasthan', 'Kanha': 'Madhya Pradesh’,'Gir':'Gujarat'}NP = ___________. Series( _____ )print(NP[ ___________ ])

import pandas as pd  import numpy as np  index = pd.Index([2, 1, 1, np.nan, 3])  a = pd.Series([2, 1, 1, np.nan, 3])  a.value_counts(normalize=True)  Output1.0 0.503.0 0.252.0 0.25dtype: float64

info = pd.DataFrame([[2, 7]] * 4, columns=['P', 'Q'])  info.apply(np.sqrt)  info.apply(np.sum, axis=0)  info.apply(np.sum, axis=1)  info.apply(lambda x: [1, 2], axis=1)  info.apply(lambda x: [1, 2], axis=1, result_type='expand')  info.apply(lambda x: pd.Series([1, 2], index=['foo', 'bar']), axis=1)  info.apply(lambda x: [1, 2], axis=1, result_type='broadcast')  info