Reputation: 811
I have a slider:
time_ax = fig.add_axes([0.1, 0.05, 0.8, 0.03])
var_time = Slider(time_ax, 'Time', 0, 100, valinit=10, valfmt='%0.0f')
var_time.on_changed(update)
and I want to customize the appearance of this slider:
I can add axisbg
parameter to add_axes
function, which will change default white background to assigned color, but that's all I see possible for now.
So, how to change other slider components:
Upvotes: 1
Views: 1936
Reputation: 103
The color of the box you can change when you define the axis of the "ax" box:
fig, ax = plt.subplots()
plt.subplots_adjust(left=0.25, bottom=0.25)
t = np.arange(0.0, 1.0, 0.001)
a0 = 5
f0 = 3
s = a0*np.sin(2*np.pi*f0*t)
l, = plt.plot(t,s, lw=2, color='red')
plt.axis([0, 1, -10, 10])
axcolor = 'lightgoldenrodyellow'
axfreq = plt.axes([0.03, 0.25, 0.03, 0.65], axisbg=axcolor)
axamp = plt.axes([0.08, 0.25, 0.03, 0.65], axisbg=axcolor)
sfreq = Slider(axfreq, 'Freq', 0.1, 30.0, valinit=f0)
samp = Slider(axamp, 'Amp', 0.1, 10.0, valinit=a0)
# The vline attribute controls the initial value line
samp.vline.set_color('green')
Upvotes: 0
Reputation: 5659
The slider border is just the spines of the Axes
instance. The progress bar can be directly accessed for basic customization in the constructor, and the initial status indicator is an attribute of the slider. I was able to change all of those things:
import matplotlib.pyplot as plt
from matplotlib.widgets import Slider
fig = plt.figure()
time_ax = fig.add_axes([0.1, 0.05, 0.8, 0.03])
# Facecolor and edgecolor control the slider itself
var_time = Slider(time_ax, 'Time', 0, 100, valinit=10, valfmt='%0.0f',
facecolor='c', edgecolor='r')
# The vline attribute controls the initial value line
var_time.vline.set_color('blue')
# The spines of the axis control the borders
time_ax.spines['left'].set_color('magenta')
time_ax.spines['right'].set_color('magenta')
time_ax.spines['bottom'].set_color('magenta')
time_ax.spines['top'].set_color('magenta')
Upvotes: 1