使用 matplotlib.pyplot.imshow() 绘制二维直方图时出现“TypeError：dtype 对象的图像数据无法转换为浮点数”

Question

I made 2D histogram using matplotlib.pyplotlt.hist2d() but since the function hist2d() does not inherently have the option for interpolation(smoothing), I tried to use matplotlib.pyplot.imshow() .

The following is part of my code:

fig, ax=plt.subplots(figsize=(8,6))
ax.set_title('Joint Distribution of NND for San Ramon Earthquakes')
h=ax.hist2d(T,D,30,density=True)
ax.imshow(h, interpolation='nearest')
plt.colorbar(h[3],ax=ax)

This gives the error saying TypeError: Image data of dtype object cannot be converted to float. I searched for the similar examples but I could not figure out what is the problem with my code.

How can I solve this problem? OR is there alternative way for 2d histogram interpolation without using imshow() ?

The plot I generated without interpolation is like the following:

Answer 1

The hist2d matplotlib function returns the binned 2D array, but also the xedges and yedges , check the docs here . You may want to try:

ax.imshow(h[0], interpolation='nearest')