我遇到了如何在模块之间共享类实例的问题。下面不是实际代码,它是我正在尝试做的简化表示。有问题的变量是thePlot。如果我将它设为全局,我会得到'全局名称未定义'类型错误。如果我不使用全局,那么形状模块中的'draw'方法找不到它。
调用draw()方法时会出错,并尝试执行'thePlot'方法'plot'。
* Main module *****************
import matplotlib as plt
import plotter
import shapes
main():
thePlot = plotter.plotter()
cyl = shapes.cylinder(r, c, n, color)
cyl.draw()
plt.show()
* shapes module *******************
import main
import plotter
class shapes(self):
def __init__(self):
pass
def cylinder(r, c, n, color):
self.r = r
self.c = c
self.n = n
self.color = color
def draw(self):
self.x = calculate list of x coordinates
self.y = calculate list of y coordinates
self.z = calculate list of z coordinates
global thePlot
* This line causes the error
thePlot.plot(self.x, self.y, self.z, self.color)
* plotter module ******************
import matplotlib as plt
class plotter(self):
def __init__(self):
self.fig = plt.figure()
self.ax = fig.add_subplot(111, projection='3d')
def plot(self, x, y, z, color):
self.ax.plot_wireframe(x, y, z, color)
答案 0 :(得分:0)
* Main module *****************
import matplotlib as plt
import plotter
import shapes
def main():
global thePlot
thePlot = plotter.plotter()
cyl = shapes.cylinder(r, c, n, color)
cyl.draw()
plt.show()
而且:
global thePlot
* This line causes the error
thePlot.plot(self.x, self.y, self.z, self.color)
应该成为:
main.thePlot.plot(self.x, self.y, self.z, self.color)
以前调用main.main()
的条件。
答案 1 :(得分:0)
我不熟悉matplotlib,但看起来有类似的问题Add cylinder to plot。这个改编的代码怎么样?
import matplotlib.pyplot as plt
import numpy as np
from mpl_toolkits.mplot3d import Axes3D
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
"""
def cyl():
x = None
y = None
z = None
return
"""
def cyl():
x=np.linspace(-1, 1, 100)
z=np.linspace(-2, 2, 100)
Xc, Zc=np.meshgrid(x, z)
Yc = np.sqrt(1-Xc**2)
return Xc, Yc, Zc
Xc, Yc, Zc = cyl()
#draw parameters
rstride = 20
cstride = 10
ax.plot_surface(Xc, Yc, Zc, alpha=0.2, rstride=rstride, cstride=cstride)
ax.plot_surface(Xc, -Yc, Zc, alpha=0.2, rstride=rstride, cstride=cstride)
ax.set_xlabel("X")
ax.set_ylabel("Y")
ax.set_zlabel("Z")
plt.show()