Inconsistency when plotting slice plot a temporal network

[balandongiv]

When ploting a temporal network using .plot, I notice neighboring interaction were not properly connected.

Below are the plot produced by teneto plot

The red line indicate where connection should exist. Specifically, at slice 2,3,4

This issue can be replicate with the code below.

For reproducibility, the connection array can be download via:
link to array

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

[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