Control colormap of temporal graph nodes

[vanbanTruong]

Is your feature request related to a problem? Please describe. Would it be possible to control the color of the temporal graph nodes when using tnet.plot()? For example give an array [0, 10] then the nodes color will change from light to dark from left to light. Thanks.

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[vanbanTruong]

Other than the option of providing an array, current nodes' cmap transmits vertically within each time series, would it be possible to across the time dimension, i.e., horizontally, instead?

[wiheto]

As you note, the cmap value only is for vertical values.

The plotting code is due for updating (it was some of the first python code I ever wrote) and I will make sure this is added at the update.

A workaround to solve the problem at the moment: the matplotlib ax object is returned from the plotting function which you can still modify. Here is an example:

import teneto
import matplotlib.pyplot as plt
# Create network object
tnet = teneto.TemporalNetwork()  
# Generate some random data
tnet.generatenetwork('rand_binomial', prob=0.5, size=(3,4)) 
# Plot and return matplotlib axis
ax = tnet.plot('slice_plot') 
# For the 1st time point (x=0) replot all nodes as red 
ax.scatter([0,0,0], [0,1,2], s=100, color='red', zorder=100)  
plt.show()

Creates the following image for me:

Let me know if something was unclear.

[vanbanTruong]

Thanks for the prompt reply. Let me know when such additional feature has been added :)

[wiheto]

Will do. Does the workaround work for you, for the time being? On Wed, 2020-06-10 at 19:17 -0700, WenbinZ wrote:

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