Description
Bug summary
After updating matplotlib to 3.5.2 (from 3.5.1) the display/updating of widgets created with ipywidgets is broken, at least for certain types of plots.
Update of print statements in response to moving the widgets works fine but the plot is not modified.
To reproduce:
- dump the following into
requirements.txt:
ipykernel
jupyterlab-widgets
ipywidgets
numpy
ipympl
matplotlib==3.5.2
conda create python=3.7 --name myenv & conda activate myenv & pip install -r requirements.txt- Run the code below in jupyter
Code for reproduction
from IPython.display import display
from ipywidgets import (
FloatSlider,
HBox,
VBox,
Layout,
fixed,
interactive_output,
)
class MiniRaster:
def __init__(
self,
):
self._trains = [
np.linspace(0, 10, 100),
np.linspace(0, 10, 1000)
]
def _interact(self, ax, linewidth, xmax):
if ax is None:
fig, ax = plt.subplots()
ax.cla()
ax.eventplot(
self._trains,
linewidth=linewidth
)
plt.xlim(0, xmax)
print('linewidth = ', linewidth)
print('xmax = ', xmax)
return ax
def interact(self):
fig, ax = plt.subplots()
linewidth_slider = FloatSlider(
min=0,
max=10,
step=1,
value=1,
description="width=",
continuous_update=False,
layout=Layout(width="95%"),
)
xmax_slider = FloatSlider(
min=1,
max=20,
step=1,
value=10,
description="xmax=",
continuous_update=False,
layout=Layout(width="95%"),
)
ui = VBox([linewidth_slider, xmax_slider])
out = interactive_output(
# return interactive_output(
self._interact,
{
"ax": fixed(ax),
"linewidth": linewidth_slider,
"xmax": xmax_slider
},
)
display(ui, out)
raster = MiniRaster()
%matplotlib widget
raster.interact()Actual outcome
Print statements follow the widgets, not the figure
Expected outcome
When pinning matplotlib version to 3.5.1, both the print statement and the figure follow the widgets
Additional information
This doesn't happen for all types of figures/widgets.
I'm at a loss as to why, but this snippet works fine for me for both versions
import ipywidgets as widgets
m = widgets.FloatSlider(min=-5,max=5,step=0.5, description="Slope")
c = widgets.FloatSlider(min=-5,max=5,step=0.5, description="Intercept")
# An HBox lays out its children horizontally
ui = widgets.HBox([m, c])
def plot(m, c):
x = np.random.rand(10)
y = m *x + c
plt.cla()
plt.plot(x,y)
plt.show()
out = widgets.interactive_output(plot, {'m': m, 'c': c})
display(out, ui)
I had the same behavior on python3.7 and 3.10, and on VSCode jupyter and jupyter notebook.
conda == 4.11.0
Operating system
Ubuntu
Matplotlib Version
3.5.2
Matplotlib Backend
module://ipympl.backend_nbagg
Python version
3.10.4
Jupyter version
6.4.12
Installation
pip