search
Search
Publish
Guest 0reps
Thanks for the thanks!
close
account_circle
Profile
exit_to_app
Sign out
search
keyboard_voice
close
Searching Tips
Search for a recipe: "Creating a table in MySQL"
Search for an API documentation: "@append"
Search for code: "!dataframe"
Apply a tag filter: "#python"
Useful Shortcuts
/ to open search panel
Esc to close search panel
to navigate between search results
d to clear all current filters
Enter to expand content preview
Doc Search
Code Search Beta
SORRY NOTHING FOUND!
mic
Start speaking...
Voice search is only supported in Safari and Chrome.
Shrink
Navigate to
A
A
share
thumb_up_alt
bookmark
arrow_backShare

# NumPy | array method

Programming
chevron_right
Python
chevron_right
NumPy
chevron_right
Documentation
schedule Mar 9, 2022
Last updated
local_offer PythonNumPy
Tags

Numpy's `array(~)` method constructs a Numpy array out of the provided object, which is typically a list or a tuple.

# Parameters

1. `object` | `array-like objects`

Data source used to build a Numpy array. Typically, we use a list or a tuple.

2. `dtype`link | `string` or `type` | `optional`

Type of data stored in the Numpy array. By default, type will be inferred.

3. `ndmin`link | `int` | `optional`

The minimum number of dimensions the Numpy array will have.

# Return value

A Numpy array with the data-type as specified.

# Examples

## Creating Numpy array using list

``` np.array([1,2,3]) array([1, 2, 3]) ```

The inferred type of the data is `int`.

## Creating Numpy array using tuple

``` np.array((1,2,3)) array([1, 2, 3]) ```

## Creating Numpy array with explicit type

``` np.array((1,2,3), float)np.array((1,2,3), "float") array([1., 2., 3.]) ```

Notice how we have `1.` instead of just `1` - this means that the data in the Numpy array is of type `float` instead of `int`. You can also provide the `dtype` in string form, like `"float"`.

## Creating 2D Numpy array

``` np.array([[1, 2, 3], [4, 5, 6]]) array([[1, 2, 3],       [4, 5, 6]]) ```

## Creating 2D Numpy array using ndmin

``` np.array([1, 2], ndmin=2) array([[1, 2]]) ```

Here, normally we would have a 1D Numpy array, but since we specified `ndmin=2`, we get a 2D Numpy array instead.

Edited by 0 others
thumb_up
thumb_down
Ask a question or leave a feedback...
thumb_up
0
thumb_down
0
chat_bubble_outline
0
settings
A modern learning experience for data science and analytics