July 2019
Beginner to intermediate
740 pages
16h 52m
English
Content preview from Hands-On Data Analysis with Pandas
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Resampling
Sometimes, the data is at a granularity that isn't conducive to our analysis. Consider the case where we have data per minute for the full year of 2018. The level of granularity and nature of the data may render plotting useless. Therefore, we will need to aggregate the data to a less granular frequency:
Consider the minute-by-minute stock data we were working with previously. If we had a full year of data by the minute, it's possible that this level of granularity is beyond what is useful for us:
| open | high | low | close | volume | |
|---|---|---|---|---|---|
| date | |||||
| 2019-05-20 09:30:00 | 181.6200 | 181.6200 | 181.6200 | 181.6200 | 159049.0 |
| 2019-05-20 09:31:00 ... |
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