python-scipyHow can I create a Python Numpy array?

Creating a Python Numpy array is a simple process. To do this, you first need to import the Numpy module. This can be done with the following code:

import numpy as np

Once the module is imported, you can create an array with the np.array() function. This function takes in a list or a tuple of elements and returns an array. For example:

my_array = np.array([1, 2, 3, 4])
print(my_array)

Which will output:

[1 2 3 4]

You can also create an array of a certain size and populate it with a certain value using the np.full() function. This function takes in two parameters, the size of the array and the value to fill it with. For example:

my_array = np.full((3, 3), 5)
print(my_array)

Which will output:

[[5 5 5]
 [5 5 5]
 [5 5 5]]

Finally, you can also create an array of a certain size and populate it with random numbers using the np.random.random() function. This function takes in the size of the array as a parameter. For example:

my_array = np.random.random((3, 3))
print(my_array)

Which will output:

[[0.96450292 0.73732818 0.37096419]
 [0.89406676 0.83745894 0.91337229]
 [0.72300402 0.77236496 0.83626521]]

These are the main ways to create a Python Numpy array. For more information, you can refer to the Numpy Documentation.

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