Pandas Time Series Mastery

Explore datetime handling and resampling in Pandas.

1. Which Pandas function is primarily used to create a fixed-frequency DatetimeIndex?

to_datetime date_range period_range timedelta_range

2. Which of the following are valid resampling aggregation methods in Pandas?

mean sum sort filter

3. A Pandas Series with dtype 'datetime64[ns]' is timezone-aware by default.

True False

4. Name the Pandas accessor used to access datetime properties (e.g., year, month) of a Series, abbreviated.

5. What frequency code in Pandas represents monthly frequency?

'D' 'M' 'Y' 'H'

6. Which of the following are Pandas window functions used for time series analysis?

rolling expanding resample pivot_table

7. A Pandas Period object represents a specific point in time, like a Timestamp.

True False

8. What term describes adjusting time series data to remove seasonal variations, aiding in trend analysis?

9. Resampling a daily time series to monthly frequency is an example of:

upsampling downsampling interpolation normalization

10. Which of the following are key components of a time series analyzed in Pandas?

trend seasonality noise color

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