add_callback fails on axis
- Langage dominant
- Julia
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- 90
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Description
I'm trying to set up a callback that runs every time the user changes the zoom setting on an axis. Here's a demo in Python:
```python
>>> import numpy as np
>>> import matplotlib.pyplot as plt
>>> fig, ax = plt.subplots()
>>> ax.plot(np.random.rand(5))
[]
>>> def callback(artist):
... print('callback')
...
>>> ax.xaxis.add_callback(callback)
0
>>> plt.show()
callback
callback
```
and then if I click on the magnifying glass and zoom in, I get another `callback` exactly as expected.
However, here I get nothing:
```julia
julia> using PyPlot
julia> PyPlot.version
v"3.3.1"
julia> fig, ax = plt.subplots()
(Figure(PyObject ), PyObject )
julia> ax.plot(rand(5))
1-element Vector{PyCall.PyObject}:
PyObject
julia> called = [] # in case there are any task-switching concerns...
Any[]
julia> pushtime(args...) = push!(called, time()) # just log that we got called
pushtime (generic function with 1 method)
julia> ax.xaxis.add_callback(pushtime)
0
```
and `called` never gets populated no matter what I do.
Any suggestions? EDIT: true for both Julia 1.5.2 and Julia v"1.6.0-DEV.1187".
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Piste de recherche
Start by reproducing the Julia example with PyPlot and the ax.xaxis.add_callback entry point, then compare its behavior with the Python matplotlib example across the reported Julia versions. Done means the callback is invoked when the axis zoom setting changes, as shown by the called log being populated.
Rédigé par le modèle d'indexation à partir du texte de l'issue.
Évaluation
- Stack technique
- julia, python
- Domaine
- data-visualization
- Type d'issue
- Bug
- Difficulté
- 3/5
- Temps estimé
- 1-2 jours
- Activité
- À l'abandon
- Clarté
- Plutôt claire
- Accessibilité débutants
- 40/100