cvanelteren

import numpy as np
from mpl_toolkits.mplot3d import Axes3D
from mpl_toolkits.mplot3d.art3d import Poly3DCollection



def fill_between_3d(ax,x1,y1,z1,x2,y2,z2,mode=1,c='steelblue',alpha=0.6):

    """

cvanelteren

def arc_layout(
    G: nx.Graph, subset_key="subset", radius=1, rotation=0, offset=0
) -> dict:
    """Arc layout for networkx

    Provides  a   layout  where  a  multipartite   graph  is
    displayed  on a  unit circle.  This could  provide clear
    visuals for data that is highly clustered.

    Parameters

cvanelteren

import proplot as plt, cmasher as cmr, pandas as pd, numpy as np, os, sys, networkx as nx, warnings


def multilayer_layout(
    G: nx.Graph,
    subset_key="layer",
    layout=nx.spring_layout,
    separation: float = 10.0,
) -> dict:
    # set positions

cvanelteren

{"directed": false, "multigraph": false, "graph": {"name": "Krackhardt Kite Social Network"}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}], "links": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 5}, {"source": 1, "target": 3}, {"source": 1, "target": 4}, {"source": 1, "target": 6}, {"source": 2, "target": 3}, {"source": 2, "target": 5}, {"source": 3, "target": 4}, {"source": 3, "target": 5}, {"source": 3, "target": 6}, {"source": 4, "target": 6}, {"source": 5, "target": 6}, {"source": 5, "target": 7}, {"source": 6, "target": 7}, {"source": 7, "target": 8}, {"source": 8, "target": 9}]}

cvanelteren

here is a gif

cvanelteren

import networkx as nx, numpy as np, matplotlib.pyplot as plt

np.random.seed(0)
g = nx.florentine_families_graph()
# g = nx.krackhardt_kite_graph()
pos = nx.random_layout(g)

x = {node: p[0] for node, p in pos.items()}
y = {node: p[1] for node, p in pos.items()}
l = {node: node for node in g.nodes()}

cvanelteren

import matplotlib.pyplot as plt
import numpy as np, networkx as nx
from matplotlib.collections import LineCollection


def setup(
    g: nx.Graph, layout: dict or callable, node_kwargs={}, edge_kwargs={}, **kwargs
) -> list:
    """
    Simple setup: creates scatter points and line segments (graph)

cvanelteren

Uploading to arxiv

• Use pydflatex to flatten books
• Use arxiv-collector to generate a compatible zip for arxiv
• Minted needs to be compiled with finalizedcache=true and then with frozencache=true (see gpoore/minted#113 (comment))

The first steps can be combined with https://gist.github.com/cvanelteren/ba4a82350e35f3b48262c2aa1089c64f

cvanelteren

cp ~/library.bib library.bib
# flatex is a python package
# flatex paper.tex arxiv_paper.tex
# now called pydflatex?
pydflatex paper.tex arxiv_paper.tex
arxiv-collector arxiv_paper.tex

cvanelteren

import matplotlib.pyplot as plt, cmasher as cmr
import numpy as np
layout = np.zeros((10, 10), dtype = object)

layout[-1, :] = np.arange(1, 11)
layout[:, -1] = np.arange(20, 30)

fig = plt.figure(constrained_layout = 1)
axs = fig.subplot_mosaic(layout)
ax = axs.get(-1)