MCQOPTIONS
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MCQOPTIONS
This section includes 7 Mcqs, each offering curated multiple-choice questions to sharpen your Data Science knowledge and support exam preparation. Choose a topic below to get started.
| 1. |
All values of categorical data are either in categories or np.nan. |
| A. | True |
| B. | False |
| Answer» B. False | |
| 2. |
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 |
| Answer» B. Categorical.rename() | |
| 3. |
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 |
| Answer» C. .rank() | |
| 4. |
Which of the following is used to generate an index with time delta? |
| A. | TimeIndex |
| B. | TimedeltaIndex |
| C. | LeadIndex |
| D. | None of the mentioned |
| Answer» C. LeadIndex | |
| 5. |
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 |
| Answer» E. | |
| 6. |
Numeric reduction operation for timedelta64[ns] will return _________ objects. |
| A. | Timeseries |
| B. | Timeplus |
| C. | Timedelta |
| D. | None of the mentioned |
| Answer» D. None of the mentioned | |
| 7. |
Which of the following operations are supported on Time Frames? |
| A. | idxmax |
| B. | ixmax |
| C. | ixmin |
| D. | none of the mentioned |
| Answer» B. ixmax | |