创建条形图并根据数据框中的值设置条形颜色非常简单.色彩映射和规范化实例有助于将值转换为颜色,这些颜色由matplotlib.Axes.bar的颜色参数理解.然后使用与条形相同的标准化和颜色映射从
ScalarMappable创建颜色条.
import matplotlib.pyplot as plt
import matplotlib.colors
import numpy as np; np.random.seed(0)
import pandas as pd
x = np.arange(12)
y = np.random.rand(len(x))*51
c = np.random.rand(len(x))*3+1.5
df = pd.DataFrame({"x":x,"y":y,"c":c})
cmap = plt.cm.rainbow
norm = matplotlib.colors.Normalize(vmin=1.5, vmax=4.5)
fig, ax = plt.subplots()
ax.bar(df.x, df.y, color=cmap(norm(df.c.values)))
ax.set_xticks(df.x)
sm = plt.cm.ScalarMappable(cmap=cmap, norm=norm)
sm.set_array([])
fig.colorbar(sm)
plt.show()