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Build a block matrix from a list with depth two in Numpy
To build a block of matrix, use the numpy.block() method in Python Numpy. Here, we will build a block matrix from a list with depth two. Blocks in the innermost lists are concatenated along the last dimension (-1), then these are concatenated along the second-last dimension (-2), and so on until the outermost list is reached.
Blocks can be of any dimension, but will not be broadcasted using the normal rules. Instead, leading axes of size 1 are inserted, to make block.ndim the same for all blocks. This is primarily useful for working with scalars, and means that code like np.block([v, 1]) is valid, where v.ndim == 1.
Steps
At first, import the required library −
import numpy as np
Creating two numpy arrays using the array() method. We have inserted elements of int type −
arr1 = np.array([49, 76, 61, 82, 69, 29]) arr2 = np.array([40, 60, 89, 55, 32, 98])
Display the arrays −
print("Array 1...", arr1) print("Array 2...", arr2)
Get the type of the arrays −
print("Our Array 1 type...", arr1.dtype) print("Our Array 2 type...", arr2.dtype)
Get the dimensions of the Arrays −
print("Our Array 1 Dimensions...",arr1.ndim) print("Our Array 2 Dimensions...",arr2.ndim)
Get the shape of the Arrays −
print("Our Array 1 Shape...",arr1.shape) print("Our Array 2 Shape...",arr2.shape)
To build a block of matrix, use the numpy.block() method in Python Numpy −
print("Result...",np.block([[arr1], [arr2]]))
Example
import numpy as np # Creating two numpy arrays using the array() method # We have inserted elements of int type arr1 = np.array([49, 76, 61, 82, 69, 29]) arr2 = np.array([40, 60, 89, 55, 32, 98]) # Display the arrays print("Array 1...", arr1) print("Array 2...", arr2) # Get the type of the arrays print("Our Array 1 type...", arr1.dtype) print("Our Array 2 type...", arr2.dtype) # Get the dimensions of the Arrays print("Our Array 1 Dimensions...",arr1.ndim) print("Our Array 2 Dimensions...",arr2.ndim) # Get the shape of the Arrays print("Our Array 1 Shape...",arr1.shape) print("Our Array 2 Shape...",arr2.shape) # To build a block of matrix, use the numpy.block() method in Python Numpy print("Result...",np.block([[arr1], [arr2]]))
Output
Array 1... [49 76 61 82 69 29] Array 2... [40 60 89 55 32 98] Our Array 1 type... int64 Our Array 2 type... int64 Our Array 1 Dimensions... 1 Our Array 2 Dimensions... 1 Our Array 1 Shape... (6,) Our Array 2 Shape... (6,) Result... [[49 76 61 82 69 29] [40 60 89 55 32 98]]