[](https://github.com/kschweiger/track_analyzer/actions/workflows/test.yml)
[](https://github.com/kschweiger/track_analyzer/actions/workflows/doc.yml)
# Track analyzer
The focus of this package lies on analyzing and visualizing tracks of cycling or similar activities. Depending on the usecase settings like `stopped_speed_threshold` or `max_speed_percentile` may not be appropriate.
Installing the package with **cli** extra, I.e. using `pip install geo-track-analyzer[cli]`, add utility tools. See the [documentation](https://kschweiger.github.io/track_analyzer/cli/) for details.
## From files
Tracks my be initialized from ``.gpx`` and ``.fit`` files using the ``GPXFileTrack`` and ``FITTrack`` object, respectively.
## Programmatically
You can instanciate tracks programmatically inside your code using the `PyTrack` class.
```python
PyTrack(
points: list[tuple[float, float]] = ...,
elevations: None | list[float] = ...,
times: None | list[datetime] = ...,
heartrate: None | list[int] = None,
cadence: None | list[int] = None,
power: None | list[int] = None,
)
```
## Extracting track data
The data of the track can be extracted into a pandas DataFrame object with the columns:
* **latitude**: Track point latitude value
* **longitude**: Track point longitude value
* **elevation**: Track point elevation value
* **speed**: Speed in m/s calculated relative to previous point. Requires time to be present in track.
* **distance**: Distance in m relative to previous point
* **heartrate**: Heartrate in bpm (if present in input)
* **cadence**: Cadence in rmp(if present in input)
* **power**: Power in W (if present in input)
* **time**: Time in seconds relative to previous point. Time must be present in track.
* **cum_time**: Cummulated time of the track/segment in seconds. Requires time to be present in track.
* **cum_time_moving**: Cummulated moving time of the track/segment in seconds. Requires time to be present in track.
* **cum_distance**: Cummulated distance in track/segement in meters.
* **cum_distance_moving**: Cummulated moving distance in track/segement in meters.
* **cum_distance_stopped**: Cummulated stopped distance in track/segement in meters.
* **moving**: Bool flag specifing if the `stopped_speed_threshold` was exceeded for the point.
Because some values are relative to previous points, the first point in the segment is not represented in this dataframe.
----------------
Furthermore an summary of the segments and tracks can be generated in the form of a `SegmentOverview` containing:
* Time in seconds (moving and totoal)
* Distance in meters and km (moving and totoal)
* Maximum and average velocity in m/s and km/h
* Maximum and minimum elevation in meters
* Uphill and downhill elevation in meters
## Visualizing the track
Visualizations of a track can be generated via the `plot` method and the ``kind`` parameter. See [documentation](https://kschweiger.github.io/track_analyzer/visualizations/) for further details and examples how to use the visualizations.
Raw data
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