matplotlib-从轮廓线提取值 | 从轮廓线提取值

本文介绍了matplotlib-从轮廓线提取值的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！

问题描述

此问题/答案对显示了如何从等高线图中提取顶点:

This question/answer pair shows how to extract vertices from contour plot:

p = cs.collections[0].get_paths()[0]
v = p.vertices
x = v[:,0]
y = v[:,1]

但是如何获取每个路径的值(即高程模型的 z )?

But how to get the value (i.e z for an elevation model) for each path?

推荐答案

没有直接方法，但是 cs.collections 与 cs.levels 的顺序完全相同(这是您追求的"z"值).

There's no direct way, but cs.collections is in the exact same order as cs.levels (which is the "z" values you're after).

因此，最简单的方法是:

Therefore, it's easiest to do something like:

lookup = dict(zip(cs.collections, cs.levels))
z = lookup[line_collection_artist]

作为一个快速的交互式示例:

As a quick interactive example:

import numpy as np
import matplotlib.pyplot as plt

def main():
    fig, ax = plt.subplots()
    cs = ax.contour(np.random.random((10,10)))

    callback = ContourCallback(cs)
    plt.setp(cs.collections, picker=5)
    fig.canvas.mpl_connect('pick_event', callback)

    plt.show()

class ContourCallback(object):
    def __init__(self, cs):
        self.lookup = dict(zip(cs.collections, cs.levels))

    def __call__(self, event):
        print self.lookup[event.artist]

main()

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