.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "gallery/graph_structure/plot_map.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` to download the full example code. .. rst-class:: sphx-glr-example-title .. _sphx_glr_gallery_graph_structure_plot_map.py: Geospatial networks =================== .. GENERATED FROM PYTHON SOURCE LINES 10-54 .. image-sg:: /gallery/graph_structure/images/sphx_glr_plot_map_001.png :alt: plot map :srcset: /gallery/graph_structure/images/sphx_glr_plot_map_001.png :class: sphx-glr-single-img .. code-block:: Python import os import cartopy.crs as ccrs import matplotlib.pyplot as plt import numpy as np import nngt import nngt.geospatial as ng plt.rcParams.update({ 'axes.edgecolor': 'grey', 'xtick.color': 'grey', 'ytick.color': 'grey', "figure.facecolor": (0, 0, 0, 0), "axes.facecolor": (0, 0, 0, 0), "axes.labelcolor": "grey", "text.color": "grey" }) nngt.seed(2) # take random countries num_nodes = 20 world = ng.maps["adaptive"] units = nngt._rng.choice(50, num_nodes, replace=False) codes = list(world.iloc[units].SU_A3) # make random network g = nngt.generation.erdos_renyi(nodes=num_nodes, avg_deg=3) # add the A3 code for each country (that's the crucial part that will link # the graph to the geospatial data) g.new_node_attribute("code", "string", codes) g.set_weights(nngt._rng.exponential(2, g.edge_nb())) # plot using draw_map and the A3 codes stored in "code" ng.draw_map(g, "code", ncolor="in-degree", esize="weight", threshold=0, ecolor="grey", proj=ccrs.EqualEarth(), max_nsize=20, show=False) if nngt.get_config("with_plot"): plt.tight_layout() plt.show() .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 0.159 seconds) .. _sphx_glr_download_gallery_graph_structure_plot_map.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: plot_map.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: plot_map.py ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_