Graphviz is the best option in my opinion. Graphviz is the premiere graph rendering/layout library; it’s mature, stable, open-source, and free of charge. It is not a dedicated flowchart or diagramming package, but its core use case–i.e., efficient and aesthetic rendering of objects comprised of nodes and edges, obviously subsumes flowchart drawing–particularly because its api … Read more
Solution You need to use visible=False inside fig.update_yaxes() or fig.update_layout() as follows. For more details see the documentation for plotly.graph_objects.Figure. # Option-1: using fig.update_yaxes() fig.update_yaxes(visible=False, showticklabels=False) # Option-2: using fig.update_layout() fig.update_layout(yaxis={‘visible’: False, ‘showticklabels’: False}) # Option-3: using fig.update_layout() + dict-flattening shorthand fig.update_layout(yaxis_visible=False, yaxis_showticklabels=False) Try doing the following to test this: # Set the visibility ON … Read more
from matplotlib import pylab import networkx as nx def save_graph(graph,file_name): #initialze Figure plt.figure(num=None, figsize=(20, 20), dpi=80) plt.axis(‘off’) fig = plt.figure(1) pos = nx.spring_layout(graph) nx.draw_networkx_nodes(graph,pos) nx.draw_networkx_edges(graph,pos) nx.draw_networkx_labels(graph,pos) cut = 1.00 xmax = cut * max(xx for xx, yy in pos.values()) ymax = cut * max(yy for xx, yy in pos.values()) plt.xlim(0, xmax) plt.ylim(0, ymax) plt.savefig(file_name,bbox_inches=”tight”) pylab.close() … Read more
After creating the figure in plotly, to disable the legend you can make use of this command: fig.update_layout(showlegend=False) For Advanced users: You can also enable/disable the legend for individual traces in a figure by setting the showlegend property of each trace. For instance: fig.add_trace(go.Scatter( x=[1, 2], y=[1, 2], showlegend=False)) You can view the examples here: … Read more
You can create this sort of plot yourself pretty easily using the built-in functions imagesc and text and adjusting a number of parameters for the graphics objects. Here’s an example: mat = rand(5); % A 5-by-5 matrix of random values from 0 to 1 imagesc(mat); % Create a colored plot of the matrix values colormap(flipud(gray)); … Read more