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# Create an array with ones at and below the given diagonal and zeros elsewhere in Numpy

To create an array with ones at and below the given diagonal and zeros elsewhere, use the **numpy.tri()** method in Python Numpy −

- The 1st parameter is the number of rows in the array
- The 2nd parameter is the number of columns in the array

The tri() function returns an array with its lower triangle filled with ones and zero elsewhere; in other words T[i,j] == 1 for j <= i + k, 0 otherwise.

## Steps

At first, import the required library −

import numpy as np

Now, create an array with ones at and below the given diagonal and zeros elsewhere using the numpy.tri() method in Python Numpy −

arr = np.tri(4, 4)

Displaying our array −

print("Array...

",arr)

Get the datatype −

print("

Array datatype...

",arr.dtype)

Get the dimensions of the Array −

print("

Array Dimensions...

",arr.ndim)

Get the shape of the Array −

print("

Our Array Shape...

",arr.shape)

Get the number of elements of the Array −

print("

Elements in the Array...

",arr.size)

## Example

import numpy as np # To create an array with ones at and below the given diagonal and zeros elsewhere, use the numpy.tri() method in Python Numpy # The 1st parameter is the number of rows in the array # The 2nd parameter is the number of columns in the array arr = np.tri(4, 4) # Displaying our array print("Array...

",arr) # Get the datatype print("

Array datatype...

",arr.dtype) # Get the dimensions of the Array print("

Array Dimensions...

",arr.ndim) # Get the shape of the Array print("

Our Array Shape...

",arr.shape) # Get the number of elements of the Array print("

Elements in the Array...

",arr.size)

## Output

Array... [[1. 0. 0. 0.] [1. 1. 0. 0.] [1. 1. 1. 0.] [1. 1. 1. 1.]] Array datatype... float64 Array Dimensions... 2 Our Array Shape... (4, 4) Elements in the Array... 16

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