python-3.x - 如何在 matplotlib imshow 等高线图上显示数据点？

Question

我已经使用imshow. 从下面的代码中可以看出，z计算的值是x和的范围。y作为下一步，我想z_new为一些随机x_new和y_new轮廓图像绘制一些计算值，这些值可能由封闭的圆圈或类似的东西标记。

代码如下：

import numpy as np
import matplotlib.pyplot as plt
from matplotlib import colors

x = np.linspace(-0.5, 2.0, 101)
y = np.linspace(-0.5, 2.0, 101)
z = np.zeros((101, 101))
E = 0.0
for i in range(len(x)):
    for j in range(len(y)):
        z[i,j] = -max(y[j]+0.2+E, 0.5-x[i], 0)
        
x_new = np.array([1.1168189, 0.8381589, 1.3312789, -0.2149011])
y_new = np.array([1.7571379, 1.5555579, 1.9138179, 0.7912879])
z_new = []
for k, l in zip(x_new, y_new):
    #print (k, l, -max(l+0.2+E, 0.5-k, 0)) # z_new = -max(l+0.2+eU, 0.5-k, 0) calculated for some random x_new and y_new
    z_new.append(-max(l+0.2+E, 0.5-k, 0)) # I would like to see these z_new points on the contour plot for corresponding x_new and y_new

fig, ax = plt.subplots()
ms = plt.imshow(z.T, cmap='plasma', vmin=-2.5, vmax=0, origin='lower', interpolation='none', extent=[-0.5,2.0,-0.5,2.0])
ax.set_xlabel('x', fontsize=16, fontname = "Helvetica")
ax.set_ylabel('y', fontsize=16, fontname = "Helvetica")
cbar = plt.colorbar(ms)
cbar.ax.tick_params(labelsize=10, direction='out')
cbar.set_label('z', fontsize=16, fontname = "Helvetica")
#plt.savefig('test.pdf')
plt.xticks(fontname = "Helvetica", fontsize=12)
plt.yticks(fontname = "Helvetica", fontsize=12)
plt.show()

标签： python-3.xmatplotlibcontourimshow

Answer 1

您可以使用下面代码的最后一行在热图顶部添加散点图。没有边缘的圆圈很难看到，但是当您发现它们时，您可以很好地了解它们的值与热图的比较。您可以通过取消注释命令上方的行来为圆圈添加黑色边缘plt.scatter，这使圆圈易于定位，但很难看到颜色差异。

import numpy as np
import matplotlib.pyplot as plt
from matplotlib import colors

x = np.linspace(-0.5, 2.0, 101)
y = np.linspace(-0.5, 2.0, 101)
z = np.zeros((101, 101))
E = 0.0
for i in range(len(x)):
    for j in range(len(y)):
        z[i,j] = -max(y[j]+0.2+E, 0.5-x[i], 0)
        
x_new = np.array([1.1168189, 0.8381589, 1.3312789, -0.2149011])
y_new = np.array([1.7571379, 1.5555579, 1.9138179, 0.7912879])
z_new = []
for k, l in zip(x_new, y_new):
    #print (k, l, -max(l+0.2+E, 0.5-k, 0)) # z_new = -max(l+0.2+eU, 0.5-k, 0) calculated for some random x_new and y_new
    z_new.append(-max(l+0.2+E, 0.5-k, 0)) # I would like to see these z_new points on the contour plot for corresponding x_new and y_new

fig, ax = plt.subplots()
ms = plt.imshow(z.T, cmap='plasma', vmin=-2.5, vmax=0, origin='lower', interpolation='none', extent=[-0.5,2.0,-0.5,2.0])
ax.set_xlabel('x', fontsize=16, fontname = "Helvetica")
ax.set_ylabel('y', fontsize=16, fontname = "Helvetica")
cbar = plt.colorbar(ms)
cbar.ax.tick_params(labelsize=10, direction='out')
cbar.set_label('z', fontsize=16, fontname = "Helvetica")
#plt.savefig('test.pdf')
plt.xticks(fontname = "Helvetica", fontsize=12)
plt.yticks(fontname = "Helvetica", fontsize=12)

## New code ##
# plt.scatter(x_new, y_new, c=z_new, cmap='plasma', vmin=-2.5, vmax=0, edgecolors='black') # Uncomment this if you want the points circled in black
plt.scatter(x_new, y_new, c='green') # Uncomment if you want green circles
# plt.scatter(x_new, y_new, c=z_new, cmap='plasma', vmin=-2.5, vmax=0)
## End of new code ##

plt.show()