@ubuntu的答案是正确的方法，如果你有少量的行。（和
如果你想添加一个传奇，你可能会这样做！）
不过，为了显示另一个选项，您仍然可以使用“LineCollection”，
您只需为图例使用“代理艺术家”：
import numpy as npimport matplotlib.pyplot as pltfrom matplotlib.collections import LineCollectionfrom matplotlib.lines import Line2D# The line format you curently have:lines = [[(0, 1, 2, 3, 4), (4, 5, 6, 7, 8)], [(0, 1, 2, 3, 4), (0, 1, 2, 3, 4)], [(0, 1, 2, 3, 4), (8, 7, 6, 5, 4)], [(4, 5, 6, 7, 8), (0, 1, 2, 3, 4)]]# Reformat it to what `LineCollection` expects:lines = [tuple(zip(x, y)) for x, y in lines]z = np.array([0.1, 9.4, 3.8, 2.0])fig, ax = plt.subplots()lines = LineCollection(lines, array=z, linewidths=5, cmap=plt.cm.rainbow, norm=plt.Normalize(z.min(), z.max()))ax.add_collection(lines)fig.colorbar(lines)# Manually adding artists doesn't rescale the plot, so we need to autoscaleax.autoscale()def make_proxy(zvalue, scalar_mappable, **kwargs): color = scalar_mappable.cmap(scalar_mappable.norm(zvalue)) return Line2D([0, 1], [0, 1], color=color, **kwargs)proxies = [make_proxy(item, lines, linewidth=5) for item in z]ax.legend(proxies, ['Line 1', 'Line 2', 'Line 3', 'Line 4'])plt.show()
