不规则X Y Z数据的等值线/显示图 [英] Contour/imshow plot for irregular X Y Z data

问题描述

我有X，Y，Z格式的数据，所有数据都是一维数组，Z是在坐标(X，Y)处的测量幅度.我想将此数据显示为等高线或"imshow"图，其中等高线/颜色表示Z值(振幅).

I have data in X, Y, Z format where all are 1D arrays, and Z is the amplitude of the measurement at coordinate (X,Y). I'd like to show this data as a contour or 'imshow' plot where the contours/color represent the the value Z (amplitude).

用于测量的网格以及X和Y外观的间距不规则.

The grid for measurements and X and Y look are irregularly spaced.

非常感谢，

len(X)= 100

len(X)=100

len(Y)= 100

len(Y)=100

len(Z)= 100

len(Z)=100

推荐答案

plt.tricontourf(x,y,z)是否满足您的要求?

它将为不规则间隔的数据(非直线网格)绘制填充轮廓.

It will plot filled contours for irregularly spaced data (non-rectilinear grid).

您可能还想研究plt.tripcolor().

import numpy as np
import matplotlib.pyplot as plt
x = np.random.rand(100)
y = np.random.rand(100)
z = np.sin(x)+np.cos(y)
f, ax = plt.subplots(1,2, sharex=True, sharey=True)
ax[0].tripcolor(x,y,z)
ax[1].tricontourf(x,y,z, 20) # choose 20 contour levels, just to show how good its interpolation is
ax[1].plot(x,y, 'ko ')
ax[0].plot(x,y, 'ko ')
plt.savefig('test.png')

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