tanveer-sayyed · February 13, 2019 08:06
diff --git a/NaN-9.py b/NaN-9.py
 In [61]:
 mean_c0 = new_df['c0'].mean() # returns a single float
 median_c1 = new_df['c1'].median()  # returns a single float
 mode_c3 = new_df['c3'].mode()  # returns a series

 print('mean_c0 = ', mean_c0)
 print('median_c1 = ', median_c1)
 print('mode_c3[0] = ', mode_c3[0]) # 0th element: the most repeated term

 Out [61]:
 mean_c0 =  5.5
 median_c1 =  7.0
 mode_c3[0] = 10.0
	In [61]:
	mean_c0 = new_df['c0'].mean() # returns a single float
	median_c1 = new_df['c1'].median() # returns a single float
	mode_c3 = new_df['c3'].mode() # returns a series

	print('mean_c0 = ', mean_c0)
	print('median_c1 = ', median_c1)
	print('mode_c3[0] = ', mode_c3[0]) # 0th element: the most repeated term

	Out [61]:
	mean_c0 = 5.5
	median_c1 = 7.0
	mode_c3[0] = 10.0