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# Return a new array of given shape filled with ones and also set the desired data-type in Numpy

To return a new array of given shape and type, filled with ones, use the **ma.one()** method in Python Numpy. The 1st parameter sets the shape of the array. The 2nd parameter is the desired data-type for the array.

The order parameter suggests whether to store multi-dimensional data in row-major (C-style) or column-major (Fortran-style) order in memory.

A masked array is the combination of a standard numpy.ndarray and a mask. A mask is either nomask, indicating that no value of the associated array is invalid, or an array of booleans that determines for each element of the associated array whether the value is valid or not.

## Steps

At first, import the required library −

import numpy as np import numpy.ma as ma

Return a new array of given shape and type, filled with ones, using the ma.one() method in Python Numpy. The 2nd parameter is the desired data-type for the array −

arr = ma.ones((5,5), dtype=int)

Displaying our array −

print("Array...\n",arr)

Get the datatype −

print("\nArray datatype...\n",arr.dtype)

Get the dimensions of the Array −

print("\nArray Dimensions...\n",arr.ndim)

Get the shape of the Array −

print("\nOur Array Shape...\n",arr.shape)

Get the number of elements of the Array −

print("\nElements in the Array...\n",arr.size)

## Example

# Python ma.MaskedArray - Return a new array of given shape filled with ones and also set the desired data-type import numpy as np import numpy.ma as ma # To return a new array of given shape and type, filled with ones, use the ma.one() method in Python Numpy # The 1st parameter sets the shape of the array # The 2nd parameter is the desired data-type for the array arr = ma.ones((5,5), dtype=int) # Displaying our array print("Array...\n",arr) # Get the datatype print("\nArray datatype...\n",arr.dtype) # Get the dimensions of the Array print("\nArray Dimensions...\n",arr.ndim) # Get the shape of the Array print("\nOur Array Shape...\n",arr.shape) # Get the number of elements of the Array print("\nElements in the Array...\n",arr.size)

## Output

Array... [[1 1 1 1 1] [1 1 1 1 1] [1 1 1 1 1] [1 1 1 1 1] [1 1 1 1 1]] Array datatype... int64 Array Dimensions... 2 Our Array Shape... (5, 5) Elements in the Array... 25

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