windows - Pickled Matplotlib 3D 缺乏交互功能
问题描述
在 Windows 上,当我使用 pickle 模块保存 3D matplotlib 曲面图并重新加载它们时,这些图缺少任何交互功能,例如能够旋转图或放大图。但是,如果我保存并重新加载 2D 腌制 matplotlib 图,我仍然能够与图进行交互,至少使用缩放工具。以下代码重新创建了成功的 2D 绘图案例。
import matplotlib.pyplot as plt
import numpy as np
import pickle
xs = np.linspace(0, 4*np.pi, 100)
ys = np.sin(xs)
fig, ax = plt.subplots()
ax.plot(xs, ys)
with open("plot.pickle", 'wb') as file:
pickle.dump(fig, file)
plt.show()
plt.close(fig)
with open("plot.pickle", 'rb') as file:
fig = pickle.load(file)
plt.show()
以下代码是一个重现 3D 绘图问题的小示例。
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
import pickle
xs = np.linspace(0, 1, 100)
ys = np.linspace(0, 4*np.pi, 100)
zs = np.zeros((100, 100))
for i, amp in enumerate(xs):
for j, phase in enumerate(ys):
zs[j, i] = amp*np.sin(phase)
xs, ys = np.meshgrid(xs, ys)
fig, ax = plt.subplots(subplot_kw={'projection': '3d'})
ax.plot_surface(xs, ys, zs)
with open("plot.pickle", 'wb') as file:
pickle.dump(fig, file)
plt.close(fig)
with open("plot.pickle", 'rb') as file:
fig = pickle.load(file)
plt.show()
我可以进行哪些更改以使我的 3D 腌制图具有交互式旋转和缩放功能?如果 3D 腌制图无法实现此类功能,它们是否有任何替代方法来保存(不必最初在窗口中显示图)和重新加载交互式 3D matplotlib 曲面图?
解决方案
我找到的不是解决方案,而是解决方法。解决方法是将绘制 r= 图形所需的所有数据以及在 pickle 文件中绘制它的函数保存。
为此,我需要使用dill
而不是picke
,正如@JoshRosen 在他对Is there an easy way to pickle a python function (or else serialize its code)的回答中所建议的那样?
创建泡菜:
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
import dill as pickle
def plotfun(plotdata):
ax = plt.gca()
ax.plot_surface(plotdata['xs'], plotdata['ys'], plotdata['zs'])
xs = np.linspace(0, 1, 100)
ys = np.linspace(0, 4*np.pi, 100)
zs = np.zeros((100, 100))
for j, phase in enumerate(ys):
zs[j, :] = xs*np.sin(phase)
xs, ys = np.meshgrid(xs, ys)
fig, ax = plt.subplots(subplot_kw={'projection': '3d'})
plotdata = {'xs': xs, 'ys': ys, 'zs': zs, 'plotfun': plotfun}
plotdata['plotfun'](plotdata)
with open("test.pickle", 'wb') as file:
pickle.dump(plotdata, file)
加载泡菜
import dill as pickle
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
plt.figure().add_subplot(111, projection='3d'),
plotdata = pickle.load(open('test.pickle', 'rb'))
plotdata['plotfun'](plotdata)
plt.show()
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