Updated On : Jun-26,2020 Time Investment : ~10 mins

# 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)
```
```[[93899461514432             16]
[            16             16]
[             0             97]]
```

### 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)
```
```[0. 0. 0. 0. 0.]
```

### Example 2¶

```import numpy as np
x = np.zeros((5,), dtype = np.int)
print (x)
```
```[0 0 0 0 0]
```

### Example 3¶

```# custom type
import numpy as np
x = np.zeros((2,2), dtype = [('x', 'i4'), ('y', 'i4')])
print (x)
```
```[[(0, 0) (0, 0)]
[(0, 0) (0, 0)]]
```

### 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)
```
```[1. 1. 1. 1. 1.]
```

### Example 2¶

```import numpy as np
x = np.ones([2,2], dtype = int)
print (x)
```
```[[1 1]
[1 1]]
```
Dolly Solanki

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