Correct Answer : Option (D) : print(exp.axes)
Correct Answer : Option (A) : df = pd.DataFrame(dict1)
Correct Answer : Option (A) : Blaze
Explanation : If your work entails maps and geographical coordinates, and you love pandas, you should take a close look at Geopandas.
Correct Answer : Option (D) : None of the above
Explanation : SparseArray can be converted back to a regular ndarray by calling to_dense.
Correct Answer : Option (C) : to_text
Correct Answer : Option (B) : SparseList
Correct Answer : Option (C) : SparseSeries.to_coo()
Explanation : Experimental api to transform between sparse pandas and scipy.sparse structures.
Correct Answer : Option (A) : Union
Correct Answer : Option (D) : transpose
Correct Answer : Option (B) : exp.iloc[0:3,0:3]