将水流箭头添加到Matplotlib轮廓图 [英] Adding water flow arrows to Matplotlib Contour Plot

问题描述

我正在用Matplotlib生成地下水高程等值线。见下文

I am generating a groundwater elevation contour with Matplotlib. See below

这里是我现在所拥有的；如何添加水流箭头，如下图所示？

Here is what I have now; how can I add water flow arrows like the image below?

I想要添加箭头使其看起来像这样：

I want to add arrows to make it look like this:

如果有人有一些想法和/或代码示例，将不胜感激。

If anyone has some ideas and/or code samples that would be greatly appreciated.

推荐答案

您需要使用最新版本（> = 1.2）的matplotlib，但 streamplot 执行此操作。您只需要取水头的负梯度（地表含水层又称地下水位）网格即可。

You'll need a recent (>= 1.2) version of matplotlib, but streamplot does this. You just need to take the negative gradient of your head (a.k.a. "water table" for surface aquifers) grid.

下面是一个从水头的随机点观测中生成的快速示例：

As a quick example generated from random point observations of head:

import numpy as np
from scipy.interpolate import Rbf
import matplotlib.pyplot as plt
# Make data repeatable
np.random.seed(1981)

# Generate some random wells with random head (water table) observations
x, y, z = np.random.random((3, 10))

# Interpolate these onto a regular grid
xi, yi = np.mgrid[0:1:100j, 0:1:100j]
func = Rbf(x, y, z, function='linear')
zi = func(xi, yi)

# -- Plot --------------------------
fig, ax = plt.subplots()

# Plot flowlines
dy, dx = np.gradient(-zi.T) # Flow goes down gradient (thus -zi)
ax.streamplot(xi[:,0], yi[0,:], dx, dy, color='0.8', density=2)

# Contour gridded head observations
contours = ax.contour(xi, yi, zi, linewidths=2)
ax.clabel(contours)

# Plot well locations
ax.plot(x, y, 'ko')

plt.show()

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