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# Create an array with ones at and below the given diagonal and zeros elsewhere with a different output type 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 "type" parameter is used to set the type of the returned 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 −

arr = np.tri(3, 5, dtype = int)

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 # The "type" parameter is used to set the type of the returned array arr = np.tri(3, 5, dtype = int) # 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 0] [1 1 0 0 0] [1 1 1 0 0]] Array datatype... int64 Array Dimensions... 2 Our Array Shape... (3, 5) Elements in the Array... 15

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