[英]Smoothing 2D map in python
is there any way to smooth 2D map? 有什么方法可以平滑2D地图? Here is what I have got
这是我所得到的
and I would like to smooth it.
我想使它顺利。 Measurement step was to big which results with such "bad" spectrum...
测量步骤太大,导致这种“不良”频谱。
Here is a part of my code: 这是我的代码的一部分:
X, Y = np.meshgrid(x,y)
fig, ax = plt.subplots()
plt.xlim(235,420)
plt.xticks(np.arange(235,415,30))
plt.yticks(np.arange(0,360,50))
cs = ax.pcolormesh(X,Y,A,cmap=cm.rainbow, vmin = 0)#Greys_r
plt.xlabel('wavelength [nm]')
plt.ylabel('temperature [K]')
plt.title(sample)
cbar = fig.colorbar(cs)
cbar.formatter.set_powerlimits((0, 0))
cbar.update_ticks()
I found a way to do it. 我找到了一种方法。 Here is how:
方法如下:
fig = plt.figure()
ax = fig.add_subplot(111)
im = NonUniformImage(ax, interpolation='bilinear', extent=(180, 300, 10, 350), cmap=cm.jet)
im.set_data(x, y, A)
ax.images.append(im)
ax.set_xlim(180, 300)
ax.set_ylim(10, 350)
plt.xlabel('wavelength [nm]')
plt.ylabel('temperature [K]')
plt.title(sample)
cbar = fig.colorbar(im)
cbar.formatter.set_powerlimits((0, 0))
cbar.update_ticks()
plt.savefig('map.png')
plt.show()
plt.close()
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