Data Engineering with Python

Q1. Which of the following is used to generate an index with time delta ?

TimedeltaIndex
None of the above
TimeIndex
LeadIndex

Q2. Which of the following is implemented on DataFrame to compute the correlation between like-labeled Series contained in different DataFrame objects?

corwith
corrwith
None of the above
corwit

Q3. Which of the following plots are used to check if a data set or time series is random?

Lead
None of the above
Lag
Random

Q4. Which of the following methods produces a data ranking with ties being assigned the mean of the ranks for the group?

rank
dense_rank
partition_rank
All of the above

Q5. Which of the following works analogously to the form of the dict constructor ?

DataFrame.from_dict
All of the above
DataFrame.from_items
DataFrame.from_records

Q6. Which of the following library is similar to Pandas ?

OutPy
RPy
None of the above
NumPy

Q7. 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_dict
DataFrame.from_items
DataFrame.from_records

Q8. Which of the following is prominent python “statistics and econometrics library” ?

Seaborn
Bokeh
Image
Statsmodel

Q9. 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
SparseSeries.to_cooser()
Series.to_coo()
SparseSeries.to_coo()

Q10. Which of the following makes use of pandas and returns data in a Series or DataFrame ?

freedapi
OutPy
pandaSDMX
None of the above

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