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GitHub / florian-drouet / open-data
Repository with ready to use functions for geographical dataviz, K-anonymity and L-diversity. These functions were used for different projects at Covidom.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/florian-drouet%2Fopen-data
Stars: 1
Forks: 0
Open Issues: 0
License: mit
Language: Python
Repo Size: 10.8 MB
Dependencies:
98
Created: about 3 years ago
Updated: 9 months ago
Last pushed: almost 3 years ago
Last synced: 9 months ago
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Dependencies
requirements.txt
pypi
- attrs =20.3.0=pyhd3deb0d_0
- boost-cpp =1.74.0=h54f0996_2
- bzip2 =1.0.8=h8ffe710_4
- ca-certificates =2020.12.5=h5b45459_0
- cairo =1.16.0=hb19e0ff_1008
- certifi =2020.12.5=py39hcbf5309_1
- cfitsio =3.470=h0af3d06_7
- click =7.1.2=pyh9f0ad1d_0
- click-plugins =1.1.1=py_0
- cligj =0.7.1=pyhd8ed1ab_0
- curl =7.75.0=hf1763fc_0
- cycler =0.10.0=py_2
- expat =2.3.0=h39d44d4_0
- fiona =1.8.18=py39h9f1b043_1
- fontconfig =2.13.1=h1989441_1004
- freetype =2.10.4=h546665d_1
- freexl =1.0.6=ha8e266a_0
- gdal =3.2.2=py39h6795fcd_2
- geopandas =0.9.0=pyhd8ed1ab_0
- geos =3.9.1=h39d44d4_2
- geotiff =1.6.0=h8e90983_5
- gettext =0.19.8.1=h1a89ca6_1005
- hdf4 =4.2.13=h0e5069d_1004
- hdf5 =1.10.6=nompi_h5268f04_1114
- icu =68.1=h0e60522_0
- intel-openmp =2020.3=h57928b3_311
- jpeg =9d=h8ffe710_0
- kealib =1.4.14=h96bfa42_2
- kiwisolver =1.3.1=py39h2e07f2f_1
- krb5 =1.17.2=hbae68bd_0
- lcms2 =2.12=h2a16943_0
- libblas =3.9.0=8_mkl
- libcblas =3.9.0=8_mkl
- libclang =11.1.0=default_h5c34c98_0
- libcurl =7.75.0=hf1763fc_0
- libffi =3.3=h0e60522_2
- libgdal =3.2.2=h48ef39c_2
- libglib =2.68.0=h1e62bf3_2
- libiconv =1.16=he774522_0
- libkml =1.3.0=h9859afa_1013
- liblapack =3.9.0=8_mkl
- libnetcdf =4.7.4=nompi_h3a9aa94_107
- libpng =1.6.37=h1d00b33_2
- libpq =13.1=h4f54205_2
- librttopo =1.1.0=hb340de5_6
- libspatialindex =1.9.3=h39d44d4_3
- libspatialite =5.0.1=h6b539a6_4
- libssh2 =1.9.0=h680486a_6
- libtiff =4.2.0=hc10be44_0
- libwebp-base =1.2.0=h8ffe710_2
- libxml2 =2.9.10=hf5bbc77_3
- lz4-c =1.9.3=h8ffe710_0
- matplotlib =3.4.0=py39hcbf5309_0
- matplotlib-base =3.4.0=py39h581301d_0
- mkl =2020.4=hb70f87d_311
- munch =2.5.0=py_0
- numpy =1.20.2=py39h6635163_0
- olefile =0.46=pyh9f0ad1d_1
- openjpeg =2.4.0=h48faf41_0
- openssl =1.1.1k=h8ffe710_0
- pandas =1.2.3=py39h2e25243_0
- pcre =8.44=ha925a31_0
- pillow =8.1.2=py39h1a9d4f7_0
- pip =21.0.1=pyhd8ed1ab_0
- pixman =0.40.0=h8ffe710_0
- poppler =21.03.0=h9ff6ed8_0
- poppler-data =0.4.10=0
- postgresql =13.1=h0f1a9bc_2
- proj =8.0.0=h1cfcee9_0
- pyparsing =2.4.7=pyh9f0ad1d_0
- pyproj =3.0.1=py39h1007a03_1
- pyqt =5.12.3=py39hcbf5309_7
- pyqt-impl =5.12.3=py39h415ef7b_7
- pyqt5-sip =4.19.18=py39h415ef7b_7
- pyqtchart =5.12=py39h415ef7b_7
- pyqtwebengine =5.12.1=py39h415ef7b_7
- python =3.9.2=h7840368_0_cpython
- python-dateutil =2.8.1=py_0
- python_abi =3.9=1_cp39
- pytz =2021.1=pyhd8ed1ab_0
- qt =5.12.9=h5909a2a_4
- rtree =0.9.7=py39h09fdee3_1
- setuptools =49.6.0=py39hcbf5309_3
- shapely =1.7.1=py39h90c6b7e_4
- six =1.15.0=pyh9f0ad1d_0
- sqlite =3.35.3=h8ffe710_0
- tiledb =2.2.7=hf84e3da_0
- tk =8.6.10=h8ffe710_1
- tornado =6.1=py39hb82d6ee_1
- tzdata =2021a=he74cb21_0
- vc =14.2=hb210afc_4
- vs2015_runtime =14.28.29325=h5e1d092_4
- wheel =0.36.2=pyhd3deb0d_0
- wincertstore =0.2=py39hcbf5309_1006
- xerces-c =3.2.3=h0e60522_2
- xz =5.2.5=h62dcd97_1
- zlib =1.2.11=h62dcd97_1010
- zstd =1.4.9=h6255e5f_0