我有一個使用 a）Seaborn 和 b）Matplotlib 獲得的均勻分布的直方圖，我希望曲線下或直方圖上的特定區域用不同的顏色突出顯示。import matplotlib.pyplot as pltimport numpy as npimport seaborn as snssns.set()x = np.random.uniform(45,60, 1000)#With Seabornsns.distplot(x)plt.fill_between(50,55, color='g')#With Matplotlibplt.hist(x)plt.fill_between(50,55)但是，我收到一條錯誤消息，說我有太多的數組索引。如何在同一圖上用另一種顏色填充給定范圍的曲線或直方圖？
1 回答
夢里花落0921
TA貢獻1772條經驗 獲得超6個贊
https://matplotlib.org/3.1.1/api/_as_gen/matplotlib.pyplot.fill_between.html的注釋
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
sns.set()
x = np.random.uniform(45,60, 1000)
#With Seaborn
sns.distplot(x)
# fill square defined by x, y0, y1
# need to get pdf and bins generated by sns to do fill between here
## With numpy is easier for me
# density function
y, ybin = np.histogram(x, bins=np.arange(45,61), density=True)
x_points = np.arange(50,56)
x_point_inds = np.arange(5,11)
y0 = np.zeros(6)
y1 = y[x_point_inds]
#With Matplotlib
plt.hist(x,bins=ybin,density=True, zorder=1)
plt.fill_between(x_points, y0, y1, color='g', alpha=0.5, zorder=5)
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