Python Numpy 数组：序列太大
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Numpy array: sequence too large
提问by Matt
I have an array of size 11called 'wavelength' and a larger array of size ncalled 'MN'. And 'model' is an mby narray.
我有一个11称为“波长”的大小数组和一个n称为“MN”的更大大小的数组。'model' 是一个mbyn数组。
I'm doing this:
我这样做：
for i in xrange(10+len(wavelength)-2):
y=np.empty(model[MN][i],float)
and getting this as an error:
并将其作为错误：
File "test_prog.py", line 658, in <module>
y=np.empty(model[MN][i],float)
ValueError: sequence too large; must be smaller than 32
I'm not sure what to do about that. I've looked elsewhere online but I can't find anything of obvious substance.
我不知道该怎么办。我在网上其他地方看过，但找不到任何明显的实质内容。
采纳答案by HYRY
sequence too largeerror means that you are creating a multidimension array that has a dimension larger than 32. For example: np.empty([1]*33)will raise this error.
sequence too large错误意味着您正在创建一个维度大于 32 的多维数组。例如：np.empty([1]*33)将引发此错误。
Are you sure you want to create >32 dimension array? If you want to create an empty array the same shape as model[MN][i], you should use: empty_like()
您确定要创建 > 32 维数组吗？如果要创建与 形状相同的空数组model[MN][i]，则应使用：empty_like()
