python - 使用 matplotlib 和 imshow 平滑二维直方图

Question

我尝试绘制二维直方图并通过某种插值获得“平滑”图片。因此，我结合 plt.hist2d 和 plt.imshow

执行以下操作

import matplotlib.pyplot as plt
import numpy as np

data = np.loadtxt("parametre_optMC.dat", skiprows=50, usecols=(1,2))

h, x, y, p = plt.hist2d(data[:,0], data[:,1], bins = 20)
plt.imshow(h, origin = "lower", interpolation = "gaussian")
plt.savefig("test.pdf")

正如您在下图中看到的，这两个图是叠加的，这就是我需要帮助的问题

添加 clf 有效，但我丢失了坐标轴维度:

import matplotlib.pyplot as plt
import numpy as np

data = np.loadtxt("parametre_optMC.dat", skiprows=50, usecols=(1,2))

h, x, y, p = plt.hist2d(data[:,0], data[:,1], bins = 20)
plt.clf()
plt.imshow(h, origin = "lower", interpolation = "gaussian")
plt.savefig("test.pdf")

Answer 1

也许绘制核密度估计值会更好？

import seaborn as sns
import numpy as np
import matplotlib.pyplot as plt

data = np.random.multivariate_normal([0, 0], [(1, .6), (.6, 1)], 100)
f, ax = plt.subplots(figsize=(7, 7))
sns.kdeplot(data, shade=True, ax=ax)