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

What we pass in DataFrame in pandas ?(1 Point)IntegerStringPandas seriesAll of the above

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

import pandas as pd   info = pd.DataFrame({'A': {0: 'p', 1: 'q', 2: 'r'},  'B': {0: 40, 1: 55, 2: 25},  'C': {0: 56, 1: 62, 2: 42}})  pd.melt(info, id_vars=['A'], value_vars=['C'])  pd.melt(info, id_vars=['A'], value_vars=['B', 'C'])  pd.melt(info, id_vars=['A'], value_vars=['C'],  var_name='myVarname', value_name='myValname')

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 pndpnd.Series([1,2], index= ['a','b','c'])Syntax ErrorIndex ErrorValue ErrorNone of the above mentioned