Martin Fleischmann martinfleis

## github_actions.yaml
name: CI

on:
  push:
    branches:
    - main
  pull_request:
    branches:
    - main

## Dockerfile
FROM darribas/gds:3.0
USER root
RUN apt-get install --yes cmake
RUN pip install h3
ADD ./h3_pysal.ipynb

## turbo_colormap.py
# Copyright 2019 Google LLC.
# SPDX-License-Identifier: Apache-2.0

# Author: Anton Mikhailov

turbo_colormap_data = [[0.18995,0.07176,0.23217],[0.19483,0.08339,0.26149],[0.19956,0.09498,0.29024],[0.20415,0.10652,0.31844],[0.20860,0.11802,0.34607],[0.21291,0.12947,0.37314],[0.21708,0.14087,0.39964],[0.22111,0.15223,0.42558],[0.22500,0.16354,0.45096],[0.22875,0.17481,0.47578],[0.23236,0.18603,0.50004],[0.23582,0.19720,0.52373],[0.23915,0.20833,0.54686],[0.24234,0.21941,0.56942],[0.24539,0.23044,0.59142],[0.24830,0.24143,0.61286],[0.25107,0.25237,0.63374],[0.25369,0.26327,0.65406],[0.25618,0.27412,0.67381],[0.25853,0.28492,0.69300],[0.26074,0.29568,0.71162],[0.26280,0.30639,0.72968],[0.26473,0.31706,0.74718],[0.26652,0.32768,0.76412],[0.26816,0.33825,0.78050],[0.26967,0.34878,0.79631],[0.27103,0.35926,0.81156],[0.27226,0.36970,0.82624],[0.27334,0.38008,0.84037],[0.27429,0.39043,0.85393],[0.27509,0.40072,0.86692],[0.27576,0.41097,0.87936],[0.27628,0.42118,0.89123],[0.27667,0.43134,0.90254],[0.27691,0.44145,0.913

## pypi.md

      
              1 file
            
          
              6 forks
            
          
              8 comments
            
          
              50 stars
            
          
                gboeing
                / pypi.md
            
            
              Last active
              June 17, 2022 16:11
            
              
                How to organize and distribution a package on pypi
              
          
    To distribute a package on pypi

Directory structure

/project/
    /package/
        __init__.py
        module.py
 setup.py


## hexgrid.py
import math


def calculate_polygons(startx, starty, endx, endy, radius):
    """
    Calculate a grid of hexagon coordinates of the given radius
    given lower-left and upper-right coordinates
    Returns a list of lists containing 6 tuples of x, y point coordinates
    These can be used to construct valid regular hexagonal polygons


## geo_interface.rst

      
              1 file
            
          
              16 forks
            
          
              26 comments
            
          
              132 stars
            
          
                sgillies
                / geo_interface.rst
            
            
              Last active
              April 10, 2024 00:26
            
              
                A Python Protocol for Geospatial Data
              
          
    Author: Sean Gillies Version: 1.0
Abstract

This document describes a GeoJSON-like protocol for geo-spatial (GIS) vector data.
Introduction


## random.py
import matplotlib,numpy
import pylab
# A random colormap for matplotlib
cmap = matplotlib.colors.ListedColormap ( numpy.random.rand ( 256,3))
pylab.imshow ( Z, cmap = cmap)
pylab.show()
	FROM darribas/gds:3.0
	USER root
	RUN apt-get install --yes cmake
	RUN pip install h3
	ADD ./h3_pysal.ipynb
	# Copyright 2019 Google LLC.
	# SPDX-License-Identifier: Apache-2.0

	# Author: Anton Mikhailov

	turbo_colormap_data = [[0.18995,0.07176,0.23217],[0.19483,0.08339,0.26149],[0.19956,0.09498,0.29024],[0.20415,0.10652,0.31844],[0.20860,0.11802,0.34607],[0.21291,0.12947,0.37314],[0.21708,0.14087,0.39964],[0.22111,0.15223,0.42558],[0.22500,0.16354,0.45096],[0.22875,0.17481,0.47578],[0.23236,0.18603,0.50004],[0.23582,0.19720,0.52373],[0.23915,0.20833,0.54686],[0.24234,0.21941,0.56942],[0.24539,0.23044,0.59142],[0.24830,0.24143,0.61286],[0.25107,0.25237,0.63374],[0.25369,0.26327,0.65406],[0.25618,0.27412,0.67381],[0.25853,0.28492,0.69300],[0.26074,0.29568,0.71162],[0.26280,0.30639,0.72968],[0.26473,0.31706,0.74718],[0.26652,0.32768,0.76412],[0.26816,0.33825,0.78050],[0.26967,0.34878,0.79631],[0.27103,0.35926,0.81156],[0.27226,0.36970,0.82624],[0.27334,0.38008,0.84037],[0.27429,0.39043,0.85393],[0.27509,0.40072,0.86692],[0.27576,0.41097,0.87936],[0.27628,0.42118,0.89123],[0.27667,0.43134,0.90254],[0.27691,0.44145,0.913
	import math


	def calculate_polygons(startx, starty, endx, endy, radius):
	"""
	Calculate a grid of hexagon coordinates of the given radius
	given lower-left and upper-right coordinates
	Returns a list of lists containing 6 tuples of x, y point coordinates
	These can be used to construct valid regular hexagonal polygons
	import matplotlib,numpy
	import pylab
	# A random colormap for matplotlib
	cmap = matplotlib.colors.ListedColormap ( numpy.random.rand ( 256,3))
	pylab.imshow ( Z, cmap = cmap)
	pylab.show()