Learning Numpy - Simple Tutorial For Beginners - NumPy - Array Creation Routines Part 5¶
A new ndarray object can be constructed by any of the following array creation routines or using a low-level ndarray constructor.
numpy.empty¶
It creates an uninitialized array of specified shape and dtype. It uses the following constructor −
numpy.empty(shape, dtype = float, order = 'C')
| Parameter | Description | |||
|---|---|---|---|---|
| Shape | Shape of an empty array in int or tuple of int | |||
| Dtype | Desired output data type. Optional | |||
| Order | 'C' for C-style row-major array, 'F' for FORTRAN style column-major array |
Example 1¶
import numpy as np
x = np.empty([3,2], dtype = int)
print (x)
numpy.zeros¶
Returns a new array of specified size, filled with zeros.
numpy.zeros(shape, dtype = float, order = 'C')
| Parameter | Description | |||
|---|---|---|---|---|
| Shape | Shape of an empty array in int or tuple of int | |||
| Dtype | Desired output data type. Optional | |||
| Order | 'C' for C-style row-major array, 'F' for FORTRAN style column-major array |
Example 1¶
# array of five zeros. Default dtype is float
import numpy as np
x = np.zeros(5)
print (x)
Example 2¶
import numpy as np
x = np.zeros((5,), dtype = np.int)
print (x)
Example 3¶
# custom type
import numpy as np
x = np.zeros((2,2), dtype = [('x', 'i4'), ('y', 'i4')])
print (x)
numpy.ones¶
Returns a new array of specified size and type, filled with ones.
numpy.ones(shape, dtype = None, order = 'C')
| Parameter | Description | |||
|---|---|---|---|---|
| Shape | Shape of an empty array in int or tuple of int | |||
| Dtype | Desired output data type. Optional | |||
| Order | 'C' for C-style row-major array, 'F' for FORTRAN style column-major array |
Example 1¶
# array of five ones. Default dtype is float
import numpy as np
x = np.ones(5)
print (x)
Example 2¶
import numpy as np
x = np.ones([2,2], dtype = int)
print (x)
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