Data Science Questions and Answers – Time Deltas

This set of Data Science Multiple Choice Questions & Answers (MCQs) focuses on “Time Deltas”.

1. Which of the following operations are supported on Time Frames?
a) idxmax
b) ixmax
c) ixmin
d) none of the mentioned
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2. Point out the correct statement.
a) Timedeltas are differences in times, expressed in difference units
b) You can construct a Timedelta scalar through various argument
c) DateOffsets cannot be used in construction
d) All of the mentioned
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3. Numeric reduction operation for timedelta64[ns] will return _________ objects.
a) Timeseries
b) Timeplus
c) Timedelta
d) None of the mentioned
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4. Which of the following scalars can be converted to other ‘frequencies’ by as typing to a specific timedelta type?
a) Timedelta Series
b) TimedeltaIndex
c) Timedelta
d) All of the mentioned
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5. Point out the wrong statement.
a) min, max, idxmin, idxmax operations are supported on Series
b) You cannot pass a timedelta to get a particular value
c) Division by the numpy scalar is true division
d) None of the mentioned
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6. Which of the following is used to generate an index with time delta?
a) TimeIndex
b) TimedeltaIndex
c) LeadIndex
d) None of the mentioned
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7. Combination of TimedeltaIndex with DatetimeIndex allow certain combination operations that are NaT preserving.
a) True
b) False
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8. Using _________ on categorical data will produce similar output to a Series or DataFrame of type string.
a) .desc()
b) .describe()
c) .rank()
d) none of the mentioned
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9. Which of the following method can be used to rename categorical data?
a) Categorical.rename_categories()
b) Categorical.rename()
c) Categorical.mv_categories()
d) None of the mentioned
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10. All values of categorical data are either in categories or np.nan.
a) True
b) False
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