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I tried plotting image data of tiff arrays (150,500,500) and so far none of the plotting techniques worked out. I find it frustrating since Fiji imageJ with bioformats can handle everything very fast and is plotting nice images aswell.

Can you help me understanding the problem?

In my example

`

import plotly.graph_objects as go
import numpy as np
import plotly.io as pio
pio.renderers.default='browser' #I am using spyder, I found this to enable plot



sh=100 #scaling parameter, below 100 it works, above 150 exceeds a timeour error
X, Y, Z = np.mgrid[-1:1:sh*1j, -1:1:sh*1j, -1:1:sh*1j]
x=X.flatten()
y=Y.flatten()
z=Z.flatten()
data = np.linspace(0,15,len(z)).astype(int)
np.random.shuffle(data)    #mimics data similar to mine
fig= go.Figure(data=go.Isosurface(
    x=x,
    y=y,
    z=z,
    value=data,
    isomin=1,
    isomax=2,#porous material
))

fig.show()

`

Qindral
  • 1
  • If you're using Jupyter, you could try working it out with [Plotly Resampler](https://github.com/predict-idlab/plotly-resampler) – Kat Dec 03 '22 at 23:53

0 Answers0