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geobr: Download Official Spatial Data Sets of Brazil

Project description

geobr Python Version

Behavior

python
>>> import geobr
>>> geobr.read_biomes(year=2019)

Contribute

To start the development environment run

make
. .venv/bin/activate

Test with

python -m pytest

You can use a helper to translate a function from R. If you want to add read_biomes, just run

python helpers/translate_from_R.py read_biomes

It will scrape the original R function to get documentation and metadata. It adds:

  • default year
  • function name
  • documentation one liner
  • larger documentation
  • very basic tests

! Be aware that if the function that you are adding is more complicated than the template. So, double always double check !

Before pushing, run

make prepare-push

For Windows

We recommend using conda and creating an environment that includes all libraries simultaneously.

First create an environment and install Shapely and GDAL as such:

conda create --name geobr_env python=3.7

Activate the environmnet

conda activate geobr_env

Then add Shapely from conda-forge channel conda install shapely gdal -c conda-forge

Then the other packages conda install fiona pandas geopandas requests -c conda-forge

Alternatively, type on a terminal

conda create --name <env> --file conda_requirements.txt

Finally, if not using conda, try:

pip install -r pip_requirements.txt

Translation Status

Function Translated? Easy?
read_amazon Yes Super
read_biomes Yes Super
read_census_tract Yes No
read_conservation_units Yes Super
read_country Yes Super
read_disaster_risk_area Yes Super
read_health_facilities Yes Super
read_health_region Yes Super
read_immediate_region Yes Yes
read_indigenous_land Yes Super
read_intermediate_region Yes Yes
read_meso_region Yes No
read_metro_area Yes Super
read_micro_region Yes No
read_municipal_seat Yes Super
read_municipality Yes No
read_region Yes Super
read_semiarid Yes Super
read_state Yes Super
read_statistical_grid No No
read_urban_area Yes Super
read_urban_concentrations No Super
read_weighting_area Yes No
list_geobr Yes Yes
lookup_muni Yes No
read_neighborhood Yes Yes

Project details


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