Data Engineering with Python

Q1. Which of the following library is similar to Pandas ?

NumPy

None of the above

RPy

OutPy

Q2. Which of the following makes use of pandas and returns data in a Series or DataFrame ?

OutPy

freedapi

pandaSDMX

None of the above

Q3. Which of the following works analogously to the form of the dict constructor ?

DataFrame.from_dict

DataFrame.from_items

DataFrame.from_records

All of the above

Q4. Which of the following is prominent python “statistics and econometrics library” ?

Seaborn

Statsmodel

Image

Bokeh

Q5. Which of the following methods is used for transforming a SparseSeries indexed by a MultiIndex to a scipy.sparse.coo_matrix ?

None of the above

Series.to_coo()

SparseSeries.to_cooser()

SparseSeries.to_coo()

Q6. Which of the following plots are used to check if a data set or time series is random?

Lag

None of the above

Random

Lead

Q7. Which of the following is implemented on DataFrame to compute the correlation between like-labeled Series contained in different DataFrame objects?

None of the above

corwit

corrwith

corwith

Q8. Which of the following takes a dict of dicts or a dict of array-like sequences and returns a DataFrame?

All of the above

DataFrame.from_items

DataFrame.from_records

DataFrame.from_dict

Q9. Which of the following methods produces a data ranking with ties being assigned the mean of the ranks for the group?

partition_rank

rank

dense_rank

All of the above

Q10. Which of the following is used to generate an index with time delta ?

TimedeltaIndex

LeadIndex

None of the above

TimeIndex

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