A user asked:

How can I extract the statistical data from a log? (like the get time series properties)?

I am able to plot (SavePlot1D) the log but I want to add a legend or a title with the overall average and Std Dev…

A user asked:

How can I extract the statistical data from a log? (like the get time series properties)?

I am able to plot (SavePlot1D) the log but I want to add a legend or a title with the overall average and Std Dev…

From a “random” workspace, `wksp`

, you can get a time series log with

```
pcharge = wksp.run()['proton_charge']
```

From there you can get various statistics using `pcharge.getStatistics()`

. There is a bonus property directly on the property `pcharge.timeAverageValue()`

. The difference is that `pcharge.getStatistics().mean`

is the mean of the values, where the time average is an integral of the values divided by the total time of the log.

You can get the raw values with `pcharge.value`

which returns a `ndarray`

of doubles. Unfortunately, `pcharge.times`

doesn’t give something immediately useful in python. Instead, you need to double convert the times to get the compatible type, `np.datetime64`

.

```
values = pcharge.values
times = np.array(pcharge.times, dtype=str).astype(np.datetime64)
```

which you can do anything you want with.