Coding Ref

In Python, `numpy.zeros()`

is a function that is used to create a new NumPy array filled with zeros.

This function is often used to create arrays with a specific shape and size that can be used in mathematical and scientific calculations.

Here is the syntax for `numpy.zeros()`

:

```
numpy.zeros(shape, dtype=float, order='C')
```

This function takes the following arguments:

`shape`

: The shape of the array. This is specified as a tuple of integers, where each integer specifies the size of the corresponding array dimension. For example, a shape of (3, 4) would create a two-dimensional array with 3 rows and 4 columns.`dtype`

(optional): The data type of the array. This specifies the type of the array elements. The default is float, which creates an array of floating-point numbers. You can also specify other data types, such as int for integer arrays or complex for complex-valued arrays.`order`

(optional): The order in which the array elements are stored in memory. The default is`'C'`

, which means that the elements will be stored in a row-major order (i.e., the last index will vary the fastest). You can also specify`'F'`

to store the array elements in a column-major order (i.e., the first index will vary the fastest).

Here is an example of how you might use `numpy.zeros()`

to create a new NumPy array filled with zeros. Suppose you want to create a two-dimensional array with 3 rows and 4 columns, like this:

main.py

```
import numpy as np
a = np.zeros((3, 4))
```

This will create a new array with the specified shape, filled with zeros. The resulting array will look like this:

output

```
array([[0., 0., 0., 0.],
[ 0., 0., 0., 0.],
[ 0., 0., 0., 0.]])
```

You can also specify the `dtype`

and `order`

arguments to `numpy.zeros()`

to control the data type and memory layout of the array. For example, you can create an integer array with a column-major memory layout like this:

main.py

```
a = np.zeros((3, 4), dtype=int, order='F')
```

This will create the following array:

output

```
array([[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0]])
```

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