Pandas MCQ

Correct Answer : Option (D) :   print(exp.axes)

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Correct Answer : Option (A) :   df = pd.DataFrame(dict1)

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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.

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Correct Answer : Option (D) :   None of the above


Explanation : SparseArray can be converted back to a regular ndarray by calling to_dense.

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Correct Answer : Option (C) :   to_text

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Correct Answer : Option (B) :   SparseList

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Correct Answer : Option (C) :   SparseSeries.to_coo()


Explanation : Experimental api to transform between sparse pandas and scipy.sparse structures.

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Correct Answer : Option (A) :   Union

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Correct Answer : Option (D) :   transpose

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Correct Answer : Option (B) :   exp.iloc[0:3,0:3]

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