# Convert inputs to arrays with at least two dimensions in Numpy

To convert inputs to arrays with at least two dimensions, use the ma.atleast_2d() method in Python Numpy. The parameters are One or more array-like sequences. Non-array inputs are converted to arrays. Arrays that already have two or more dimensions are preserved.

The method returns an array, or list of arrays, each with a.ndim >= 2. Copies are avoided where possible, and views with two or more dimensions are returned.

## Steps

At first, import the required library −

import numpy as np
import numpy.ma as ma

Create an array with int elements using the numpy.array() method −

arr = np.array([[65, 68, 81], [93, 33, 39], [73, 88, 51], [62, 45, 67]])
print("Array...
", arr) print("
Array type...
", arr.dtype)

Get the dimensions of the Array −

print("
Array Dimensions...
",arr.ndim)

Create a masked array and mask some of them as invalid −

maskArr = ma.masked_array(arr, mask =[[1, 1, 0], [ 1, 0, 0], [0, 1, 0], [0, 1, 0]])
print("

Get the dimensions of the Masked Array −

print("

Get the shape of the Masked Array −

print("

Get the number of elements of the Masked Array −

print("

To convert inputs to arrays with at least two dimensions, use the ma.atleast_2d() method in Python Numpy −

print("
Result...

## Example

# Python ma.MaskedArray - Convert inputs to arrays with at least two dimensions

import numpy as np
import numpy.ma as ma

# Create an array with int elements using the numpy.array() method
arr = np.array([[65, 68, 81], [93, 33, 39], [73, 88, 51], [62, 45, 67]])
print("Array...
", arr) print("
Array type...
", arr.dtype) # Get the dimensions of the Array print("
Array Dimensions...
",arr.ndim) # Create a masked array and mask some of them as invalid maskArr = ma.masked_array(arr, mask =[[1, 1, 0], [ 1, 0, 0], [0, 1, 0], [0, 1, 0]]) print("
",maskArr.shape) # Get the number of elements of the Masked Array print("
",maskArr.size) # To convert inputs to arrays with at least two dimensions, use the ma.atleast_2d() method in Python Numpy print("
Result...

## Output

Array...
[[65 68 81]
[93 33 39]
[73 88 51]
[62 45 67]]

Array type...
int64

Array Dimensions...
2
[[-- -- 81]
[-- 33 39]
[73 -- 51]
[62 -- 67]]

int64

2

(4, 3)

12

Result...