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Networkx is a powerful tool in data analysis, would be nice to see an example
Describe the solution you'd like
I'm providing code here for a basic example. It should be pointed out that most networkx examples rely on the plot.show() command which does not appear to be available in toga-chart. So you have to do the drawing yourself. That's okay, networks still provides the layout.
"""This is where the chart is created"""
def draw_chart(self, chart, figure, *args, **kwargs):
# The Karate Club example is built into nx
G = nx.karate_club_graph()
ax = figure.add_subplot(1, 1, 1)
ax.set_axis_off()
pos = nx.circular_layout(G)
# Spring is a more popular layout, but circular is easier to debug
#pos = nx.spring_layout(G)
x = [k[0] for k in pos.values()]
y = [k[1] for k in pos.values()]
for e in G.edges():
# Note, this takes a sequence of xs, then ys. That took a while!
p1 = [x[e[0]], x[e[1]]]
p2 = [y[e[0]], y[e[1]]]
ax.plot(p1, p2, marker='o', linestyle='-', color='r')
Describe alternatives you've considered
Tried matplotlib directly.
Additional context
Hoping this is useful to someone.
The text was updated successfully, but these errors were encountered:
Thanks for the suggestion. I don't want Toga-chart's documentation to become a reproduction of all of Matplotlib's documentation (or an attempt at a replacement for Matplotlib's documentation) - but a couple of examples showing how Matplotlib code maps to Toga-chart is definitely called for - especially when it comes to core usage issues like the fact that plot.show() isn't explicitly needed. Tagging as a documentation ticket on that basis.
What is the problem or limitation you are having?
Networkx is a powerful tool in data analysis, would be nice to see an example
Describe the solution you'd like
I'm providing code here for a basic example. It should be pointed out that most networkx examples rely on the
plot.show()
command which does not appear to be available in toga-chart. So you have to do the drawing yourself. That's okay, networks still provides the layout.Describe alternatives you've considered
Tried matplotlib directly.
Additional context
Hoping this is useful to someone.
The text was updated successfully, but these errors were encountered: