ShaiAvr
commented
7 months ago After further investigation, I found that this issue occurs with SciencePlots in general and not only with mpl_interactions. I made this demo which only uses matplotlib's widgets and the problem still happens: smooth and responsive transitions without SciencePlots and it becomes laggy and slow with SciencePlots.
from matplotlib.widgets import Slider
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
import scienceplots # noqa: F401
# mpl.style.use(["science"]) # Uncomment this line to see laggy UI with SciencePlots
mpl.rcParams["font.size"] = 14
def f(x, tau, beta):
return np.sin(x * tau) * x**beta
x = np.linspace(0, 10, 1000)
fig, ax = plt.subplots(figsize=(8, 8))
(line,) = ax.plot(x, f(x, 1, 1))
fig_ui = plt.figure(figsize=(8, 1))
ax_tau = fig_ui.add_axes([0.1, 0.6, 0.8, 0.05])
s_tau = Slider(ax=ax_tau, label="tau", valmin=0.1, valmax=10, valinit=1)
ax_beta = fig_ui.add_axes([0.1, 0.1, 0.8, 0.05])
s_beta = Slider(ax=ax_beta, label="beta", valmin=0.1, valmax=10, valinit=1)
def update(val):
line.set_ydata(f(x, s_tau.val, s_beta.val))
fig.canvas.draw_idle()
s_tau.on_changed(update)
s_beta.on_changed(update)
fig.tight_layout()
plt.show()
echedey-ls
WhiteSymmetry
Environment
Affected styles
Describe the issue here
I wanted to add interactive sliders to my plot, and I found that the
mpl_interactionslibrary is a nice and easy way to achieve this. I used a simple example from their site and modified it to suit my style. When running withoutSciencePlots(that is, withoutmpl.style.use(["science", "grid"])), everything is responsive and smooth: I can smoothly change the sliders and observe the changes in my plots. However, usingSciencePlotscauses the sliders to become laggy, and the plots also update with lags and are less responsive.Why does
SciencePlotscausesmpl_interactionsto be laggy and slow, and how can I fix this?How can we replicate it? What have you tried? Please, add a reproducible example
Extra info
No response