What is the standard deviation in NumPy?

Can you explain what standard deviation is in NumPy?

Sure! Standard deviation measures the amount of variation or dispersion in a set of values. In NumPy, you can calculate it using the numpy.std() function.

How do I use numpy.std() to calculate standard deviation?

You can use it by passing an array of numbers to the function. For example: numpy.std(array) will return the standard deviation of the values in the array.

What if I want to calculate the standard deviation for a specific axis?

You can specify the axis parameter in numpy.std(). For example, numpy.std(array, axis=0) calculates the standard deviation along the first axis.

Can you show me a code example?

Of course! Here's a simple example:

import numpy as np

data = np.array([[1, 2, 3], [4, 5, 6]])
std_dev = np.std(data, axis=0)
print(std_dev)