Python uses NumPy to change array dimensions, Transpose, flatten arrays, etc

Before proceeding with NumPy programming, some preparatory work is required. Firstly, ensure that Python and NumPy libraries are installed. The following steps can be taken to build the environment: 1. Install Python: Visit the official Python website（ https://www.python.org/downloads/ ）Choose the appropriate version based on the operating system for download and installation. 2. Install the NumPy library: Open the command line terminal and run the following command to install: pip install numpy Next, we need to import the NumPy library and use its functions and methods. python import numpy as np NumPy provides functionality for manipulating multidimensional arrays and matrices. Here are some commonly used functions and methods: 1. Change the array dimension: Use the 'reshape()' function to change the dimension of the array. For example, changing a one-dimensional array to a two-dimensional array: python arr = np.array([1, 2, 3, 4, 5, 6]) reshaped_arr = arr.reshape(2, 3) 2. Transpose: use the 'T' attribute to obtain the transpose of the matrix. For example: python arr = np.array([[1, 2], [3, 4]]) transposed_arr = arr.T 3. Flatten() method can flatten multidimensional arrays into one-dimensional arrays. For example: python arr = np.array([[1, 2], [3, 4]]) flattened_arr = arr.flatten() The above are some basic operations of NumPy, let's take a look at a complete example. python import numpy as np #Changing array dimensions arr = np.array([1, 2, 3, 4, 5, 6]) reshaped_arr = arr.reshape(2, 3) print("Reshaped Array:") print(reshaped_arr) #Transpose arr = np.array([[1, 2], [3, 4]]) transposed_arr = arr.T print(" Transposed Matrix:") print(transposed_arr) #Flattening array arr = np.array([[1, 2], [3, 4]]) flattened_arr = arr.flatten() print(" Flattened Array:") print(flattened_arr) In this example, we first transform a one-dimensional array into a 2x3 two-dimensional array through the 'reshape()' function, then obtain the transpose of the original matrix through the 'T' attribute, and finally use the 'flatten()' method to flatten the original matrix into a one-dimensional array.