Suppose I have 1x1x1x1x... array and wish to convert it to scalar?
How do I do it?
squeeze
does not help.
import numpy as np matrix = np.array([[1]]) s = np.squeeze(matrix) print type(s) print s matrix = [[1]] print type(s) print s s = 1 print type(s) print s
This error occurs most often when you attempt to use np.int() to convert a NumPy array of float values to an array of integer values. However, this function only accepts a single value instead of an array of values. Instead, you should use x.
asscalar() function is used when we want to convert an array of size 1 to its scalar equivalent. Parameters : arr : [ndarray] Input array of size 1.
Using Python's import numpy, the unique elements in the array are also obtained. In the first step convert the list to x=numpy. array(list) and then use numpy. unique(x) function to get the unique values from the list.
You can use the item()
function:
import numpy as np matrix = np.array([[[[7]]]]) print(matrix.item())
Output
7
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