pySpainMobility

KO | EN

gitlite — search

#javascript #hacktoberfest #llm #go #golang #android #deep-learning #macos #java #cli #pytorch #ios #openai #open-source

pySpainMobility

(★ 19)

a Python package designed to facilitate access to this mobility data and associated spatial tessellations, while standardizing the data for ease of use and analysis. As easy as pip install pyspainmobility

pySpainMobility 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# pySpainMobility

## A Python package to access, download and standardise 
![logo small](https://raw.githubusercontent.com/pySpainMobility/pySpainMobility/refs/heads/main/logo_small.png)

Mobility patterns play a critical role in a wide range of societal challenges, from epidemic modeling and emergency response to transportation planning and regional development. Yet, access to high-quality, timely, and openly available mobility data remains limited. In response, the [Spanish Ministry of Transportation and Sustainable Mobility](https://www.transportes.gob.es) has released daily [mobility datasets](https://www.transportes.gob.es/ministerio/proyectos-singulares/estudios-de-movilidad-con-big-data/metodologia-del-estudio-de-movilidad-con-bigdata) based on anonymized mobile phone data, covering districts, municipalities, and greater urban areas from February 2020 to June 2021 (`version 1`) and again from January 2022 onward (`version 2`). `pySpainMobility` is a Python package that simplifies access to these datasets and their associated spatial tessellations through a standardized, well-documented interface. By lowering the technical barrier to working with large-scale mobility data, the package enables reproducible analysis and supports applications across research, policy, and operational domains.

The full documentation of the library is available on the [`pySpainMobility` website](https://pyspainmobility.github.io/pySpainMobility) and a paper with some examples and further details is available on arXiv. If you are using the library or it content, please use this reference:

Beneduce, C., Gullón Muñoz-Repiso, T., Lepri, B., & Luca, M. (2025). pySpainMobility: a Python Package to Access and Manage Spanish Open Mobility Data

Bibtex:
```
@misc{beneduce2025pyspainmobility,
      title={pySpainMobility: a Python Package to Access and Manage Spanish Open Mobility Data}, 
      author={Ciro Beneduce and Tania Gullón Muñoz-Repiso and Bruno Lepri and Massimiliano Luca},
      year={2025},
      eprint={2506.13385},
      archivePrefix={arXiv},
      primaryClass={cs.CY},
      url={https://arxiv.org/abs/2506.13385}, 
}
```

## Table of Content

## Documentation
The documentation of `pySpainMobility` classes and functions is available at [pyspainmobility.github.io/pySpainMobility](https://pyspainmobility.github.io/pySpainMobility)

<a id='installation'></a>
## Installation
`pySpainMobility` supports Python >= 3.9 and can be installed with `pip` or `conda`.

<a id='installation_pip'></a>
### installation with pip (python >= 3.9 required)

1. Create an environment `venv`

python3 -m venv venv

2. Activate the environment

source venv/bin/activate

3. Install `pySpainMobility`

pip install pyspainmobility

<a id='installation_conda'></a>
### installation with conda - miniconda

1. Create an environment `mobility` and install pip

conda create -n mobility pip python=3.9

2. Activate

conda activate mobility

3. Install `pySpainMobility`

conda install -c conda-forge pyspainmobility

<a id='examples'></a>
## Examples

Examples can be found in the repository named [Examples](https://github.com/pySpainMobility/examples)

## What's New in 1.1.0

- Added `backend` selection in `Mobility` (`backend="arrow"` by default, `backend="pandas"` supported).
- Added automatic fallback from Arrow to pandas with a warning when `pyarrow` is unavailable.
- Improved data preprocessing robustness and column normalization/translation.
- Improved loading behavior when using custom `output_directory` paths.
- Aligned download behavior between `Mobility` and `Zones` with lazy data fetching.

## Backend Selection

```python
from pyspainmobility import Mobility

mobility = Mobility(
    version=2,
    zones="municipalities",
    start_date="2022-01-01",
    end_date="2022-01-03",
    backend="arrow",  # default
)
```

If `backend="arrow"` is selected but `pyarrow` is not installed, `pySpainMobility` automatically falls back to `pandas` and emits a warning.

### Working with R?

If you prefer R, check out the [spanishoddata](https://github.com/rOpenSpain/spanishoddata) package by Egor Kotov et al.

pySpainMobility

pySpainMobility 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

pySpainMobility

pySpainMobility 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README