Inconsistency when plotting slice plot a temporal network about teneto

[wiheto]

Hi!

They are actually there but are being masked by the nodes.

teneto.plot.slice_plot(g_arr, nodesize=10)

Sorry about his. Will try and make some improvement so this doesn't happen again by accident (e.g. by autoscaling nodesize).

[wiheto]

This is the resulting image I get

[balandongiv]

Thanks for prompt reply.

May I know you plot this graph?

I Tried
teneto.plot.slice_plot(g_arr, nodesize=10)

But, the compiler return an error

TypeError: slice_plot() missing 1 required positional argument: 'ax'

Amend the code to

teneto.plot.slice_plot(g_arr, nodesize=10,ax=ax)

Return an error of

AxesSubplot:xlabel='Time'

Wheras, amending the code as below

import teneto
import matplotlib.pyplot as plt
# g_arr=np.load('g_arr.npy')
plt.style.use('mpl20')
tnet = teneto.TemporalNetwork(from_array=g_arr)
ax = tnet.plot('slice_plot',nodesize=10)
ax.scatter([0,0,0], [0,1,2], s=150, color='red', zorder=50)
plt.show()

produced inconsistent node size (refer slice no 1) as below

[wiheto]

Sorry, should have copy pasted what I did instead of just writing the code (incorrectly). This is what works for me

import numpy as np
import teneto
import matplotlib.pyplot as plt
fig,ax = plt.subplots(1)
g_arr=np.load('g_arr.npy')
teneto.plot.slice_plot(g_arr, ax, nodesize=10)
fig.show()
 

[wiheto]

To fix your figure that you wrote above, you need to change:

ax.scatter([0,0,0], [0,1,2], s=150, color='red', zorder=50)

and change the size of the red scatter plots you are adding in manually

[balandongiv]

Thanks for the update @wiheto , really appreciate it