I'm trying to plot a matrix with a z projection but I don't want to project at each 0.5 values like below.
I want to project the values that are "< 7.5" for example but I don't know if it's possible with Plotly Library on Python.
If someone knows how to deal with it, I would be grateful
Here is the code I've tried:
def plotIntensity3D(self):
z = self.matrix # Numpy 2D array with values between 5.4 and 8.2
fig = go.Figure(data=[go.Surface(z=z, cmin=7,cmax=8.5)])
# fig.update_traces(colorscale = [[0, 'rgb(255,0,0)'], [1, 'rgb(0,255,0)']])
fig.update_traces(contours_z=dict(show=True, usecolormap=True, highlightcolor="limegreen", project_z=True))
fig.update_layout(title='3D Light Intensity', autosize=True, width=1000, height=1000)
fig.show()
Add something like this to update_layout
:
scene = dict(
xaxis = dict(nticks=9, range=[0,80],),
yaxis = dict(nticks=7, range=[0,120],),
zaxis = dict(nticks=4, range=[5,8],),
),