# t4gpd
Set of tools based on Python, GeoPandas and Shapely to achieve urban geoprocessing
## Pre-requisites
To be able to use the **t4gpd** plugin, perform geoprocessing and display your own maps, you need a Python3 interpreter and recent versions of the geopandas, matplotlib, numpy, and shapely libraries. One possibility is to install a [Miniconda3](https://docs.conda.io/en/latest/miniconda.html) environment, in which you will first create and then configure a new environment (we will call it gpd):
> conda create -n gpd
> conda activate gpd
> conda config --env --add channels conda-forge
> conda config --env --set channel_priority strict
> conda install python=3.10 geopandas=0.12.2 contextily geocube imageio jupyterlab mapclassify matplotlib matplotlib-scalebar meshio networkx notebook openpyxl plotly pvlib Pyarrow pysolar pyvista pywavelets rasterio scikit-learn scipy seaborn windrose xlrd xlwt
> pip install dijkstar pythermalcomfort suntimes
## Installation instructions
As **t4gpd** is now on [PyPI](https://pypi.org/project/t4gpd/), the easiest way to install the latest version is to use the pip command as follows:
> pip install t4gpd
Alternatively, you can download the **t4gpd** latest version from the [SourceSup website](https://sourcesup.renater.fr/projects/t4gs). Then, install the Python3 plugin you downloaded:
> pip install t4gpd-0.9.5.tar.gz
## Read the documentation
Go to [https://t4gpd-docs.readthedocs.io](https://t4gpd-docs.readthedocs.io) to consult the documentation.
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