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examples/tidbits/play-buttons.ipynb.
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Attaching play buttons to sliders¶
Note
The labels will not update as that requires a Python kernel.
If you are working in Jupyter then you can add an ipywidgets.Play widget to the sliders for any of the interactive_*
functions.
In this tutorial all the functions are scatter
but this will work for plot
, hist
, imshow
, etc…
Specifying Which Sliders Get Play buttons¶
[1]:
%matplotlib ipympl
import matplotlib.pyplot as plt
import numpy as np
import mpl_interactions.ipyplot as iplt
# turn off interactive mode so that broken
# plots don't render in the docs
plt.ioff()
Boolean: All get a button¶
[2]:
N = 50
x = np.random.rand(N)
def f_y(x, tau, beta):
return np.sin(x * tau) ** 2 + np.random.randn(N) * 0.01 * beta
fig, ax = plt.subplots()
controls = iplt.scatter(x, f_y, tau=(1, 2 * np.pi, 100), beta=(0, 2), play_buttons=True)
String:¶
You make a play button for all sliders on either the left or the right using a string argument.
[3]:
fig, ax = plt.subplots()
controls = iplt.scatter(
x, f_y, tau=(1, 2 * np.pi, 100), beta=(0, 2), play_buttons="left"
)
[4]:
fig, ax = plt.subplots()
controls = iplt.scatter(
x, f_y, tau=(1, 2 * np.pi, 100), beta=(0, 2), play_buttons="right"
)
List: Choose by name¶
[5]:
fig, ax = plt.subplots()
controls = iplt.scatter(
x, f_y, tau=(1, 2 * np.pi, 100), beta=(0, 2), play_buttons=["tau"]
)
defaultdict: Specify by name and choose default¶
If you have many parameters and you want the most, but not all, of them to have a Play button then you should use a `defaultdict``
[6]:
from collections import defaultdict
def f(x, **kwargs):
return x
play_buttons = defaultdict(lambda: True)
play_buttons["tau"] = False
fig, ax = plt.subplots()
controls = iplt.scatter(
x,
f,
tau=(1, 2 * np.pi, 100),
beta=(0, 2),
zeta=(0, 1),
psi=(0, 1),
play_buttons=play_buttons,
)
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