向matplotlib ch添加滑块

2024-06-10 03:29:52 发布

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我有一个matplotlib代码,可以生成一个简单的二维图表。我想为hte和hre变量(数组)添加sliders小部件,这样hte和hre值可以交互地增加或减少。有没有办法(我肯定有,因为我在matplotlib网站上看到过这样的something,但我无法将其与代码集成)?任何帮助都将不胜感激。代码如下:

from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
from matplotlib.ticker import LinearLocator, FixedLocator, FormatStrFormatter
import matplotlib.pyplot as plt
import numpy as np
from pylab import *

hte=np.array([10,11,12,13,15,20,21,22,25,30])
hre=np.array([1,2,3,4,5,6,7,8,9,10])

k=20*hte
n4=10*hre
t=6
w4=25

x=arange(1,100,10)
d=(log(x)/log(10))/10
y= k + n4 * (d) + t + w4 + 8

matplotlib.pyplot.jet()
lines=plot(x,y)
setp(lines, linewidth=2, color='r')
xlabel('X - Title')
ylabel('Y - title')
title('$Our Chart$')
grid(True)
show()

here is the chart that it generates


Tags: 代码fromimportlogtitlematplotlibasnp
1条回答
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1楼 · 发布于 2024-06-10 03:29:52

在您的评论之后,我选择了滑块,以使其与数组中的值相乘的方式。你应该应用你的特殊算法。

from pylab import *
from matplotlib.widgets import Slider
import numpy as np

hte = np.array([10, 11, 12, 13, 15, 20, 21, 22, 25, 30])
hre = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])

k = 20 * hte
n4 = 10 * hre
t, w4 = 6, 25
x = arange(1, 100, 10)
d = log10(x) / 10

y = k + n4 * d + t + w4 + 8

ax = subplot(111)
subplots_adjust(left=0.15, bottom=0.25)
line, = plot(x, y, linewidth=2, color='r')

xlabel('X - Title')
ylabel('Y - title')
title('$Our Chart$')
grid(True)

axcolor = 'lightgoldenrodyellow'
axhte = axes([0.15, 0.1, 0.65, 0.03], axisbg=axcolor)
axhre = axes([0.15, 0.15, 0.65, 0.03], axisbg=axcolor)

shte = Slider(axhte, 'hte', 0.1, 30.0, valinit=1)
shre = Slider(axhre, 'hre', 0.1, 10.0, valinit=1)

def update(val):
    k = 20 * hte * shte.val 
    n4 = 10 * hre * shre.val

    y= k + n4 * d + t + w4 + 8

    line.set_ydata(y)    
    ax.set_ylim(y.min(), y.max())  
    draw()

shte.on_changed(update)
shre.on_changed(update)

show()

enter image description here

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