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NumPy | full method
schedule Aug 12, 2023
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Numpy's full(~)
method creates a new Numpy array whose entries are filled by the specified value.
Parameters
1. shape
| int
or sequence<int>
The dimensions of the resulting array.
2. fill_value
| scalar
The value to fill the entires.
3. dtype
| string
or type
| optional
The desired data type for the resulting array. By default, the type is inferred from the fill_value
.
Return value
A Numpy array whose entries are filled by the specified value.
Examples
One-dimensional arrays
To create a 1D Numpy array of size 5, with the value 2 as the entries:
np.full(5, 2)
array([2, 2, 2, 2, 2])
Here, the data-type is inferred as int64
:
dtype('int64')
Two-dimensional arrays
To create a 2D Numpy array with 2 rows and 3 columns, with the value 5 as the entries:
np.full((2,3), 5)
array([[5, 5, 5], [5, 5, 5]])
Published by Isshin Inada
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