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How is the average calculated for a NumPy array using the function np.average(array)?

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Final answer:

The np.average(array) function in NumPy is used to calculate the average of a given NumPy array.

Step-by-step explanation:

The np.average(array) function in NumPy is used to calculate the average of a given NumPy array.

  1. First, you need to import the NumPy library by using the following code: import numpy as np.
  2. Then, you can use the np.average() function to calculate the average of the array. The syntax is np.average(array).
  3. The np.average() function can also take additional arguments such as weights and axis, if necessary.

For example, if you have an array arr = np.array([1, 2, 3, 4, 5]), you can calculate the average by using np.average(arr). The result will be 3.0.

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