我试图在2D轮廓图中包含一维路径,作为等高线图下方的单独图。理想情况下,这些将具有共享和对齐的X轴,以引导读者通过绘图的功能,并将包括颜色条图例。
我已经做了这个最小的例子来展示我的尝试和问题。
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import gridspec
# Generating dummy data
delta = 0.025
x = np.arange(-3.0, 3.0, delta)
y = np.arange(-2.0, 2.0, delta)
X, Y = np.meshgrid(x, y)
Z = np.outer(np.cos(y), np.cos(3*x))
# Configure the plot
gs = gridspec.GridSpec(2,1,height_ratios=[4,1])
fig = plt.figure()
cax = fig.add_subplot(gs[0])
# Contour plot
CS = cax.contourf(X, Y, Z)
# Add line illustrating 1D path
cax.plot([-3,3],[0,0],ls="--",c='k')
cbar = fig.colorbar(CS)
# Simple linear plot
lax = fig.add_subplot(gs[1],sharex=cax)
lax.plot(x, np.cos(3*x))
lax.set_xlim([-3,3])
plt.show()
这样可以得到以下图像:
显然,子图区域中包含的颜色条会丢弃对齐。
答案 0 :(得分:1)
我写这个问题的过程中,我找到了一个解决办法,将颜色条包含在它自己的轴中,这样网格规格现在是一个2x2的子图网格。
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import gridspec
delta = 0.025
x = np.arange(-3.0, 3.0, delta)
y = np.arange(-2.0, 2.0, delta)
X, Y = np.meshgrid(x, y)
Z = np.outer(np.cos(y), np.cos(3*x))
# Gridspec is now 2x2 with sharp width ratios
gs = gridspec.GridSpec(2,2,height_ratios=[4,1],width_ratios=[20,1])
fig = plt.figure()
cax = fig.add_subplot(gs[0])
CS = cax.contourf(X, Y, Z)
cax.plot([-3,3],[0,0],ls="--",c='k')
lax = fig.add_subplot(gs[2],sharex=cax)
lax.plot(x, np.cos(3*x))
lax.set_xlim([-3,3])
# Make a subplot for the colour bar
bax = fig.add_subplot(gs[1])
# Use general colour bar with specific axis given.
cbar = plt.colorbar(CS,bax)
plt.show()
This gives the desired result.
如果有更优雅的解决方案,我仍然会感兴趣。