agaric/parse-timelogs-for-upload
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Add note on another way data can be manipulated after running the whole script

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benjamin melançon 2021-04-28 11:41:46 -04:00
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@ -29,3 +29,11 @@ And now you can interact with the resulting timelog DataFrame:
```python
timelog.query("time>30").loc[:100,["description","time","orig_desc"]].tail(50)
```
Or the slightly more processed tl DataFrame, for example to get the hours worked per project:
```python
tl.groupby("project").agg({"time": "sum"})["time"]/60
```
And yeah you can just sort of tack on the column you want to mess with and do an operation like that!