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Python numpy.zeros() function returns a new array of given shape and type, where the element’s value as 0.
The numpy.zeros() function syntax is:
zeros(shape, dtype=None, order='C')
Let’s look at some examples of creating arrays using the numpy zeros() function.
import numpy as np array_1d = np.zeros(3) print(array_1d)
[0. 0. 0.]
Notice that the elements are having the default data type as the float. That’s why the zeros are 0.
import numpy as np array_2d = np.zeros((2, 3)) print(array_2d)
[[0. 0. 0.] [0. 0. 0.]]
import numpy as np array_2d_int = np.zeros((2, 3), dtype=int) print(array_2d_int)
[[0 0 0] [0 0 0]]
We can specify the array elements as a tuple and specify their data types too.
import numpy as np array_mix_type = np.zeros((2, 2), dtype=[('x', 'int'), ('y', 'float')]) print(array_mix_type) print(array_mix_type.dtype)
[[(0, 0.) (0, 0.)] [(0, 0.) (0, 0.)]] [('x', '<i8'), ('y', '<f8')]
Reference: API Doc
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what is: <i <f ?
- James HH Rodriguez
what does x=np.zeroes(W.shapre) do?
- het gala