Matplotlib 滚动条 [英] Matplotlib scroll bar
问题描述
我有一种线泛化算法，并且想向绘图添加滚动条，以增加公差(即使线越来越泛化).使用 matplotlib 这怎么可能?
I have a line generalisation algorithm and want to add a scroll bar to the plot that will increase the tolerance (i,e make the line more and more generalised). Using matplotlib how would this be possible?
总而言之，我希望能够单击并拖动一个滑块，该滑块将显示在线上的公差增加效果.
So to sum up, I want to be able to click and drag a slider that will display the increase in the tolerances effect on the line.
还是很挣扎.我只想要一个从 1 到 10 的简单比例的滑块.
Still really struggling with this. I only want one slider on a simple scale from 1-10.
是的，该演示对您有帮助，我只是在努力使一个滑块工作，这是我到目前为止所拥有的，
yeah the demo helps, i'm just struggerling to get one slider to work, this is what I have so far,
fig = mp.figure()
ax = fig.add_subplot(111)
fig.subplots_adjust(left=0.25, bottom=0.25)
min0=1
max0=10
tolerance = 0
chain1 = ChainLoader('Wiggle1.txt')
chain = chain1[0]
chain2 = chain.generalise(tolerance)
axcolor = 'lightgoldenrodyellow'
axmin = fig.add_axes([0.25, 0.1, 0.65, 0.03], axisbg=axcolor)
axmax = fig.add_axes([0.25, 0.15, 0.65, 0.03], axisbg=axcolor)
tolerance = Slider(axmin, 'Min', 1, 10, valinit=min0)
#smax = Slider(axmax, 'Max', 0, 30000, valinit=max0)
def update(val):
tolerance = tolerance.val
#pp.show()
tolerance.on_changed(update)
#smax.on_changed(update)
chain2 = chain.generalise(tolerance)
pp.plotPolylines(chain2)
pp.show()
我的问题是如何编写 def update 部分.有什么帮助吗?
My problems are how to write the def update section. Any help?
from PointPlotter import PointPlotter
from ChainHandler import ChainLoader
pp=PointPlotter()
import matplotlib.pyplot as plt
from matplotlib.widgets import Slider
ax = plt.subplot(111)
plt.subplots_adjust(left=0.25, bottom=0.25)
tolerance = 0
f0 = 0
chain2 = ChainLoader('Wiggle1.txt')
for chain in chain2:
chain2 = chain.generalise(tolerance)
pp.plotPolylines(chain2)
axcolor = 'lightgoldenrodyellow'
axtol = plt.axes([0.25, 0.1, 0.65, 0.03], axisbg=axcolor)
tolerance = Slider(axtol, 'tol', 0.1, 30.0, valinit=f0)
def update(val):
tolerance = tolerance.val
for chain in chain2:
chain2 = chain.generalise(tolerance)
pp.plotPolylines(chain2)
pp.plotPolylines(chain2)
tolerance.on_changed(update)
plt.show()
这么近！它现在正在绘图，但在使用滚动条时返回UnboundLocalError:分配前引用的局部变量‘tolerance’".@tcaswell 有什么帮助吗?
So close! Its now plotting, but returns "UnboundLocalError: local variable 'tolerance' referenced before assignment" when the scroll bar is used. @tcaswell any help?
推荐答案
您需要 slider 小部件 (doc).
这是示例的演示:
http://matplotlib.org/examples/widgets/slider_demo.html
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.widgets import Slider, Button, RadioButtons
ax = plt.subplot(111)
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([0.25, 0.1, 0.65, 0.03], facecolor=axcolor)
axamp = plt.axes([0.25, 0.15, 0.65, 0.03], facecolor=axcolor)
sfreq = Slider(axfreq, 'Freq', 0.1, 30.0, valinit=f0)
samp = Slider(axamp, 'Amp', 0.1, 10.0, valinit=a0)
def update(val):
amp = samp.val
freq = sfreq.val
l.set_ydata(amp*np.sin(2*np.pi*freq*t))
plt.draw()
sfreq.on_changed(update)
samp.on_changed(update)
resetax = plt.axes([0.8, 0.025, 0.1, 0.04])
button = Button(resetax, 'Reset', color=axcolor, hovercolor='0.975')
def reset(event):
sfreq.reset()
samp.reset()
button.on_clicked(reset)
rax = plt.axes([0.025, 0.5, 0.15, 0.15], facecolor=axcolor)
radio = RadioButtons(rax, ('red', 'blue', 'green'), active=0)
def colorfunc(label):
l.set_color(label)
plt.draw()
radio.on_clicked(colorfunc)
plt.show()
<小时>
为了适应您的情况:
To adapt this to your case:
#smax.on_changed(update)
chain2 = chain.generalise(tol)
pp.plotPolylines(chain2)
def update(val):
tol = tolerance.val # get the value from the slider
chain2 = chain.generalise(tol) # shove that value into your code
ax.cla() # clear the axes
pp.plotPolylines(chain2) # re-plot your new results
# register the call back
tolerance.on_changed(update)
注意重复使用变量名(你使用 tolerance 两次，一次用于 float，一次用于 Slider，python 将高兴地用完全不同类型的新变量破坏您的旧变量).
Be careful about re-using variable names (you use tolerance twice, once for a float and once for the Slider and python will happily clobber your old variables with new ones of an entirely different type).
在 update 中，我采用了最暴力的方法，清除 axes 然后重新绘制它，一般来说你想抓住返回的艺术家通过 plotPolylines 进行更新，并使用新数据进行更新.(如果您在这一步需要帮助，请打开一个新问题，详细说明您的数据结构).
In update I went with the most brute-force approach, clearing the axes and then re-drawing it, in general you want to grab the artists that are returned by plotPolylines and update those with your new data. (If you need help with that step, open a new question with details about your data structure).
了解 .on_changed 的方法是，当滑块注意到它已更改时，它将使用单个参数((code)update )调用您传入的函数( update ). val )，它是滑块的当前值.在该函数中，您可以执行任何操作，并且每次更换滑块时都会完全执行该操作.
The way to understand .on_changed is that when the slider notices it has been changed, it will call the function you passed in (update) with a single argument (val) which is the current value of the slider. Inside that function you can do what ever you want, and it will be executed in full every time the slider is changed.
这篇关于Matplotlib 滚动条的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！
