Visualization of 3D-numpy-array frame by frame

Question

# -*- coding: utf-8 -*-
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slider 3D numpy array

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import numpy
import pylab
from matplotlib.widgets import Slider

data = numpy.random.rand(100,256,256)          


        

Answer 1

Try re-writing the update function as

def update(val):
    frame = numpy.around(sframe.val)
    l.set_data(data[frame,:,:])

so that you do not need to re-create all of the matplotlib objects every update

Answer 2

Seems like you need to cast frame number to int

def update(val):
    frame = numpy.around(sframe.val)
    l.set_data(data[int(frame),:,:])

otherwise it will throw an error:

l.set_data(data[frame,:,:])
IndexError: only integers, slices (`:`), ellipsis (`...`), numpy.newaxis (`None`) and integer or boolean arrays are valid indices