1. Which of the following operations are supported on Time Frames?
a) idxmax
b) ixmax
c) ixmin
d) none of the mentioned
Discussion
Explanation: Operands can also appear in a reversed order.
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
Discussion
Explanation: Timedeltas can be both positive and negative.
3. Numeric reduction operation for timedelta64[ns] will return _________ objects.
a) Timeseries
b) Timeplus
c) Timedelta
d) None of the mentioned
Discussion
Explanation: NaT are skipped during evaluation.
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
Discussion
Explanation: These operations yield Series and propagate NaT -> nan.
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
Discussion
Explanation: Dividing or multiplying a timedelta64[ns] Series by an integer or integer Series yields another timedelta64[ns] dtypes Series.
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
Discussion
Explanation: Using TimedeltaIndex you can pass string-like, Timedelta, timedelta, or np.timedelta64 objects.
7. Combination of TimedeltaIndex with DatetimeIndex allow certain combination operations that are NaT preserving.
a) True
b) False
Discussion
Explanation: You can also convert indices to yield another index.
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
Discussion
Explanation: Categorical data has a categories and a ordered property.
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
Discussion
Explanation: Renaming categories is done by assigning new values to the Series.cat.categories property.
10. All values of categorical data are either in categories or np.nan.
a) True
b) False
Discussion
Explanation: Categoricals are pandas data type.