Matplotlib:带有滑块小部件的轮廓图
问题内容:
新手matplotlib用户在这里。我正在尝试使用滑块来调整轮廓图中的参数,但是当我这样做时,我得到:
AttributeError: QuadContourSet instance has no attribute 'set_data'
我怀疑我在错误的对象上调用set_data,但是找不到关于 正确 对象的任何文档。你能帮我吗?谢谢。
这是完整的代码:
import numpy as np
import matplotlib as mpl
import matplotlib.mlab as mlab
import matplotlib.pyplot as pyl
from matplotlib.contour import QuadContourSet
from matplotlib.widgets import Slider
#Define display parameters
mpl.rcParams['xtick.direction'] = 'out'
mpl.rcParams['ytick.direction'] = 'out'
delta = 0.025
#Define model parameters
alpha = .5
beta = .5
x_bar, a, b, c = 2, 0, 1, .1
v = np.arange(0, 10, delta)
w = np.arange(0, 10, delta)
#Calculate grid values
V, W = np.meshgrid(v,w)
Z = (V**(beta))*(W**(1-beta))
X = x_bar + a + b*Z
U = alpha*np.log(V) + (1-alpha)*np.log(X) - c*(W+V)
# Plot
fig = pyl.figure()
ax = fig.add_subplot(221)
CS = QuadContourSet(pyl.gca(), V, W, U, 200)
pyl.clabel(CS, inline=1, fontsize=10)
pyl.title('Simplest default with labels')
#Define slider for alpha
axcolor = 'lightgoldenrodyellow'
alpha_axis = pyl.axes([0.25, 0.15, 0.65, 0.03], axisbg=axcolor)
alpha_slider = Slider(alpha_axis, 'Amp', 0, 1, valinit=.5)
def update(val):
alpha = alpha_slider.val
U = alpha*np.log(V) + (1-alpha)*np.log(X) - c*(W+V)
CS.set_data(V, W, U)
pyl.draw()
alpha_slider.on_changed(update)
pyl.show()
问题答案:
问题在于,QuadContourSet对象无法更新其数据,因为如果您随意更改数据,则整个过程都需要重新计算。我不知道您的生成数据的特定方式是否会采用一种更简单的方法来修改轮廓线,但是如果没有,我认为您需要做的是从头开始绘制轮廓:
# After your "Define model parameters" block
def compute_and_plot(ax, alpha):
#Calculate grid values
V, W = np.meshgrid(v,w)
Z = (V**(beta))*(W**(1-beta))
X = x_bar + a + b*Z
U = alpha*np.log(V) + (1-alpha)*np.log(X) - c*(W+V)
CS = QuadContourSet(ax, V, W, U, 200)
pyl.clabel(CS, inline=1, fontsize=10)
# Plot
fig = pyl.figure()
pyl.title('Simplest default with labels')
ax = fig.add_subplot(221)
compute_and_plot(ax, alpha)
#Define slider for alpha
axcolor = 'lightgoldenrodyellow'
alpha_axis = pyl.axes([0.25, 0.15, 0.65, 0.03], axisbg=axcolor)
alpha_slider = Slider(alpha_axis, 'Amp', 0, 1, valinit=.5)
def update(ax, val):
alpha = alpha_slider.val
ax.cla()
compute_and_plot(ax, alpha)
pyl.draw()
alpha_slider.on_changed(lambda val: update(ax, val))
pyl.show()