我尝试做一个2D直方图,并通过一种插值获得“平滑”的图像.因此,我将plt.hist2d和plt.imshow结合起来

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")

正如您在下面的图片中看到的那样,这两个图是叠加的,这是我需要帮助的问题

添加clf有效,但我失去了轴尺寸：

import matplotlib.pyplot as plt
import numpy as np

data = np.loadtxt("parametre_optMC.dat",bins = 20)
plt.clf()
plt.imshow(h,interpolation = "gaussian")
plt.savefig("test.pdf")

解决方法

也许最好绘制核密度估计值？

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

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