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Create a two-dimensional array with the flattened input as an upper diagonal in Numpy
To create a two-dimensional array with the flattened input as a diagonal, use the numpy.diagflat() method in Python Numpy. The 'K parameter is used to set the diagonal; 0, the default, corresponds to the “main” diagonal, a positive (negative) k giving the number of the diagonal above (below) the main.
The first parameter is the input data, which is flattened and set as the k-th diagonal of the output. The second parameter is the diagonal to set; 0, the default, corresponds to the “main” diagonal, a positive (negative) k giving the number of the diagonal above (below) the main.
NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. It supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries.
Steps
At first, import the required library −
import numpy as np
Create a 2D array using the numpy.array() method −
arr = np.array([[5, 10], [15, 20]])
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)Create a two-dimensional array with the flattened input as a diagonal, use the numpy.diagflat() method −
print("
Result...
",np.diagflat(arr, k = 1))
Example
import numpy as np
# Create a 2D array using the numpy.array() method
arr = np.array([[5, 10], [15, 20]])
# 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)
# To create a two-dimensional array with the flattened input as a diagonal, use the numpy.diagflat() method in Python Numpy
# The 'K parameter is used to set the diagonal; 0, the default, corresponds to the “main” diagonal,
# a positive (negative) k giving the number of the diagonal above (below) the main.
print("
Result...
",np.diagflat(arr, k = 1))Output
Array... [[ 5 10] [15 20]] Array datatype... int64 Array Dimensions... 2 Our Array Shape... (2, 2) Elements in the Array... 4 Result... [[ 0 5 0 0 0] [ 0 0 10 0 0] [ 0 0 0 15 0] [ 0 0 0 0 20] [ 0 0 0 0 0]]
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