numpy片与循环
我仍然在python的阵列上围绕切片等。 我有一个循环，它可以完美地将2D阵列zmap的每个元素重新缩放到0和“ Palette_size-1”之间（是的，我在分形的情况下弄乱了）...所以一切都很好，但是我认为嵌套循环
效率
for x in range(self.res):
for y in range(self.res):
zScaled[x,y] = int((zMap[x,y] - np.amin(zMap)) * (palette_size-1) /
(np.amax(zMap) - np.amin(zMap)))
低下线路休息在这里，以便于阅读...） 但是，这种切片的尝试给出了上述错误：
zScaled[:,:] = int((zMap[:,:] - np.amin(zMap)) * (palette_size-1) /
(np.amax(zMap) - np.amin(zMap)))
再次添加了线路断裂以清楚。 任何帮助都将不胜感激
； 斯图尔特
I'm still getting my head around slices etc for arrays in python....
I have this in a loop, which works perfectly to re-scale each element of the 2D Array zMap to between 0 and "palette_size-1" (yes, I'm messing around with Fractals)... so all is good, but I think the nested loop is inefficient, so I wanted to try with slices but get this error: TypeError: only size-1 arrays can be converted to Python scalars
Here's the nested loop...
for x in range(self.res):
for y in range(self.res):
zScaled[x,y] = int((zMap[x,y] - np.amin(zMap)) * (palette_size-1) /
(np.amax(zMap) - np.amin(zMap)))
(again, works just fine although I added the line break here for ease of reading...)
but this attempt at slices gives the aforementioned error:
zScaled[:,:] = int((zMap[:,:] - np.amin(zMap)) * (palette_size-1) /
(np.amax(zMap) - np.amin(zMap)))
again added the line breaks for clarity.
Any help would be appreciated
Regards;
stuart
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您正在尝试将整个numpy阵列/切片转换为单个整数值，这是不可能的。相反，您应该使用
astype让Numpy这样做。试试看
You're trying to convert the entire numpy array/slice into a single integer value which isn't possible. Instead you should use
astypeto let numpy do so elementwise.Try this instead