Good Day to you,
I'm trying to plot the Imaginary and Real part of a complex series over time with plotlies' Scatter3d. X shall be the Real part, Y the imaginary and z Time.
BUT I have two series and I would like to display the two resulting Scatterplots side by side for comparison. For that I am using the makesubplot function.
Now I would like to label each of the axis with their according name (see above). But I can only update the first subplot, not the second.
Here is my source code, that only updates the first subplot in row 1 col 1:
d_E1 = go.Scatter3d(
x=df['Real_E1'],
y=df['Im_E1'],
z=df['Time'],
)
d_E2 = go.Scatter3d(
x=df['Real_E2'],
y=df['Im_E2'],
z=df['Time'],
)
fig = make_subplots(
rows = 1,
cols = 2,
specs = [[{"type": "scene"}, {"type": "scene"}]],
)
fig.update_layout(scene = dict(
xaxis = dict( title='X AXIS TITLE'),
yaxis = dict( title='y AXIS TITLE'),
zaxis = dict( title='Z AXIS TITLE')
))
fig.add_trace(d_E1, row=1, col=1)
fig.add_trace(d_E2, row=1, col=2)
plotly.offline.plot(fig, filename='3d.html')
the result of the code from above
I have tried changing the fig.update_layout as follows, which of course didn't work:
1 This updates go.Scatter plots. I can run the code, but it changes nothing.
fig.update_xaxes(title_text="X AXIS TITLE", row=1, col=1)
fig.update_xaxes(title_text="X AXIS TITLE", row=1, col=2)
2 On Stackoverflow I found this:
fig['layout']['xaxis']['title']='Label x-axis 1'
fig['layout']['xaxis2']['title']='Label x-axis 2'
fig['layout']['yaxis']['title']='Label y-axis 1'
fig['layout']['yaxis2']['title']='Label y-axis 2'
The error is, that xaxis2 is that xaxis2 is not defined in this context!? the errormessage
3 On the same Website is a solution with a for loop, with this I can run the code, but it changes nothing... Plotly: How to add axis layouts into a subplot?
4 Then I tried this, where my compiler says he doesnt know xaxis2 :
fig.update_layout(scene = dict(
xaxis = dict( title='X AXIS TITLE'),
xaxis2 = dict( title='X AXIS TITLE'),
yaxis = dict( title='y AXIS TITLE'),
zaxis = dict( title='Z AXIS TITLE')))
I'm using plotly
version 4.14.3
I just found it:
https://github.com/plotly/plotly.py/issues/2483
fig.update_scenes(
xaxis = dict( title_text='x-title'),
yaxis = dict( title_text='y-title'),
zaxis = dict( title_text='z-title'),
)