我正在绘制一些二维数据，如图所示。轴方面应该相等，轴范围应该不同。
import numpy
import matplotlib.pyplot as plt
import matplotlib.mlab as mlab
#Generate data
delta = 0.025
x = numpy.arange(-5.0, 5.0, delta)
y = numpy.arange(-5.0, 5.0, delta)
X, Y = numpy.meshgrid(x, y)
Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
# difference of Gaussians
Z = 10.0 * (Z2 - Z1)
#Plot
fig = plt.figure()
ax1 = fig.add_subplot(1, 1, 1, aspect='equal')
PC = ax1.pcolor(X, Y, Z)
CF = ax1.contour(X, Y, Z, 50, colors = "black")
plt.xlim(-4.0, 4.0)
plt.ylim(-2.0, 2.0)
cbar = plt.colorbar(PC)
cbar.add_lines(CF)
plt.show()
如何使颜色条与绘制数据的高度相同？
您可以使用 make_axes_locatable 执行此操作:
import numpy
import matplotlib.pyplot as plt
import matplotlib.mlab as mlab
from mpl_toolkits.axes_grid1 import make_axes_locatable
#Generate data
delta = 0.025
x = numpy.arange(-5.0, 5.0, delta)
y = numpy.arange(-5.0, 5.0, delta)
X, Y = numpy.meshgrid(x, y)
Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
# difference of Gaussians
Z = 10.0 * (Z2 - Z1)
#Plot
fig = plt.figure()
ax1 = fig.add_subplot(1, 1, 1, aspect='equal')
PC = ax1.pcolor(X, Y, Z)
CF = ax1.contour(X, Y, Z, 50, colors = "black")
plt.xlim(-4.0, 4.0)
plt.ylim(-2.0, 2.0)
divider = make_axes_locatable(ax1)
cax1 = divider.append_axes("right", size="5%", pad=0.05)
cbar = plt.colorbar(PC, cax = cax1)
cbar.add_lines(CF)
plt.show()
