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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
Updated on: 16-Feb-2022
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