答案 0 :(得分:2)
看起来有没有“正确”的方式,但我们可以尝试使用猴子修补问题。这是我能做的最好的kludge:
from mpl_toolkits.mplot3d import proj3d
def make_get_proj(self, rx, ry, rz):
'''
Return a variation on :func:`~mpl_toolkit.mplot2d.axes3d.Axes3D.getproj` that
makes the box aspect ratio equal to *rx:ry:rz*, using an axes object *self*.
'''
rm = max(rx, ry, rz)
kx = rm / rx; ky = rm / ry; kz = rm / rz;
# Copied directly from mpl_toolkit/mplot3d/axes3d.py. New or modified lines are
# marked by ##
def get_proj():
relev, razim = np.pi * self.elev/180, np.pi * self.azim/180
xmin, xmax = self.get_xlim3d()
ymin, ymax = self.get_ylim3d()
zmin, zmax = self.get_zlim3d()
# transform to uniform world coordinates 0-1.0,0-1.0,0-1.0
worldM = proj3d.world_transformation(xmin, xmax,
ymin, ymax,
zmin, zmax)
# adjust the aspect ratio ##
aspectM = proj3d.world_transformation(-kx + 1, kx, ##
-ky + 1, ky, ##
-kz + 1, kz) ##
# look into the middle of the new coordinates
R = np.array([0.5, 0.5, 0.5])
xp = R[0] + np.cos(razim) * np.cos(relev) * self.dist
yp = R[1] + np.sin(razim) * np.cos(relev) * self.dist
zp = R[2] + np.sin(relev) * self.dist
E = np.array((xp, yp, zp))
self.eye = E
self.vvec = R - E
self.vvec = self.vvec / proj3d.mod(self.vvec)
if abs(relev) > np.pi/2:
# upside down
V = np.array((0, 0, -1))
else:
V = np.array((0, 0, 1))
zfront, zback = -self.dist, self.dist
viewM = proj3d.view_transformation(E, R, V)
perspM = proj3d.persp_transformation(zfront, zback)
M0 = np.dot(viewM, np.dot(aspectM, worldM)) ##
M = np.dot(perspM, M0)
return M
return get_proj
# and later in the code:
ax.get_proj = make_get_proj(ax, 1, 1, 2)
ax.set_aspect(1.0)
答案 1 :(得分:1)
从matplotlib 3.3.0开始,Axes3D.set_box_aspect似乎是推荐的方法。
import matplotlib.pyplot as plt
ax = plt.axes(projection='3d')
N = 10 # some number > 1 that stretches z axis as you desire
ax.set_box_aspect((1, 1, N)) # xy aspect ratio is 1:1, but stretches z axis
答案 2 :(得分:0)
您是否尝试过在垂直方向拉伸画布?例如,
plt.figure(figsize=(5,10))
或类似的东西应该给你更多的空间。不过,我不确定是否可以解决您的问题。
答案 3 :(得分:0)
也许你可以试试
plt.figure.subplots_adjust(bottom = 0.05)
这会让你的身材沿着Z轴有更多的空间,我想这就是你想要的。
或者你想要
ax.set_xlim(xmin,xmax)