np.ndarray.tolist
import numpy as np
>>> np.array([[1,2,3],[4,5,6]]).tolist()
[[1, 2, 3], [4, 5, 6]]np.ndarray.tolist
import numpy as np
>>> np.array([[1,2,3],[4,5,6]]).tolist()
[[1, 2, 3], [4, 5, 6]]numpy list to array
# importing library
import numpy
# initilizing list
lst = [1, 7, 0, 6, 2, 5, 6]
# converting list to array
arr = numpy.array(lst)
# displaying list
print ("List: ", lst)
# displaying array
print ("Array: ", arr)python numpy array to list
# Basic syntax:
numpy_array.tolist()
# Example usage:
your_array = np.array([[1, 2, 3], [4, 5, 6]])
your_array
--> array([[1, 2, 3],
[4, 5, 6]])
your_array.tolist()
--> [[1, 2, 3], [4, 5, 6]]convert list to numpy array
import numpy as np
npa = np.asarray(Lists, dtype=np.float32)convert list to nd array
numpy.asarray(arr, dtype=None, order=None)convert list of lists to numpy array matrix python
x=[[1,2],[1,2,3],[1]]
y=numpy.array([numpy.array(xi) for xi in x])
type(y)
# <type 'numpy.ndarray'>
type(y[0])
# <type 'numpy.ndarray'>Copyright © 2021 Codeinu
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