Python Matplotlib：在等高线图上将散点图绘制到前景
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Matplotlib: Scatter Plot to Foreground on top of a Contour Plot
提问by Mike
Does anyone know a way to bring a scatter plot to the foreground in matplotlib? I have to display the scatter plotting on top of the contour, but by default it is plotted underneath...
有谁知道在 matplotlib 中将散点图带到前台的方法吗？我必须在轮廓顶部显示散点图，但默认情况下它绘制在下面......
Thanks in advance!
提前致谢！
采纳答案by sodd
You can manually choose in which order the different plots are to be displayed with the zorderparameter of e.g. the scattermethod.
您可以手动选择不同图的显示顺序zorder，例如scatter方法的参数。
To demonstrate, see the code below, where the scatter plot in the left subplot has zorder=1and in the right subplot it has zorder=-1. The object with the highest zorderis placed on top. This means that the scatter will be placed on top of the contour in the first subplot, while it is placed underneath in the second subplot.
要进行演示，请参阅下面的代码，其中左侧子图中的散点图具有zorder=1，右侧子图中的散点图具有zorder=-1。最高的物体zorder放在上面。这意味着散点将被放置在第一个子图中的等高线顶部，而它被放置在第二个子图中的下方。
import numpy as np
import matplotlib.cm as cm
import matplotlib.mlab as mlab
import matplotlib.pyplot as plt
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)
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)
Z = 10.0 * (Z2 - Z1)
norm = cm.colors.Normalize(vmax=abs(Z).max(), vmin=-abs(Z).max())
cmap = cm.PRGn
levels = np.arange(-2.0, 1.601, 0.4)
fig, axes = plt.subplots(1,2, sharey=True)
for ax, zord in zip(axes, [1, -1]):
ax.contourf(X, Y, Z, levels,
cmap=cm.get_cmap(cmap, len(levels)-1),
norm=norm)
ax.autoscale(False) # To avoid that the scatter changes limits
ax.scatter(np.random.uniform(-3,3,10),
np.random.uniform(-2,2,10),
zorder=zord)
ax.set_title('Scatter with zorder={0}'.format(zord))
