Python 3.x python彩色地图量化（matplotlib）

在Python中，我有以下colormap，它将每个值映射到一种颜色。但我的问题是：我如何对指定范围内获得相同颜色的值进行量化？ 例如：从0到10（绿色）， 从10到50（黄色）， 从50岁到55岁（红色）

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似乎您要求的是

边界规范

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


cmap = matplotlib.colors.ListedColormap(["limegreen", "gold", "crimson"])
norm = matplotlib.colors.BoundaryNorm([0,10,50,55], 3)

x = np.linspace(0,55)

fig, (ax, ax2) = plt.subplots(ncols=2)
sc = ax.scatter(x,x, c=x, cmap=cmap, norm=norm)
fig.colorbar(sc, ax=ax, spacing="uniform")

sc2 = ax2.scatter(x,x, c=x, cmap=cmap, norm=norm)
fig.colorbar(sc2, ax=ax2, spacing="proportional")

plt.show()

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


cmap = matplotlib.colors.ListedColormap(["limegreen", "gold", "crimson"])
norm = matplotlib.colors.BoundaryNorm([0,10,50,55], 3)

x = np.linspace(0,55)

fig, (ax, ax2) = plt.subplots(ncols=2)
sc = ax.scatter(x,x, c=x, cmap=cmap, norm=norm)
fig.colorbar(sc, ax=ax, spacing="uniform")

sc2 = ax2.scatter(x,x, c=x, cmap=cmap, norm=norm)
fig.colorbar(sc2, ax=ax2, spacing="proportional")

plt.show()