pandas-x 0.0.4

GPS/position calculation accessor for pandas DataFrames.

pandas-x

GPS/position calculation accessor for pandas DataFrames.

Example Usage

pandas-x provides the .pos DataFrame accessor:

>>> import pandas as pd
>>> import pandas_x

>>> df = pd.DataFrame.from_dict({
...   'lat': [40.0, 40.1, 40.3],
...   'lon': [-105.0, -105.0, -105.0]
... })

>>> df['displacement'] = df.pos.ds_from_xy()
>>> df['displacement']
0        0.000000
1    11119.492664
2    22238.985329
dtype: float64

>>> df.pos.s_from_ds()
0        0.000000
1    11119.492664
2    33358.477993
dtype: float64

Dependencies and Installation

Pandas and NumPy are required.

The package is available on PyPi and can be installed with pip:

$ pip install pandas-x

License

This project is licensed under the MIT License. See LICENSE file for details.

Documentation

The official documentation is hosted at readthedocs: https://pandas-x.readthedocs.io/en/stable/

Current Activities

• Implement an algorithm to smooth GPS position and speed data. Most GPS-enabled activity trackers filter their speed and distance timeseries to remove measurement noise. I want to try and figure out how they do it, then replicate their techniques, and compare the smoothed position data.