What are descriptive statistics in NumPy?

What are descriptive statistics in NumPy?

Descriptive statistics summarize and describe the main features of a dataset. In NumPy, you can calculate measures like mean, median, variance, and standard deviation.

How do I calculate the mean and standard deviation using NumPy?

You can use numpy.mean() to calculate the mean and numpy.std() for the standard deviation. For example:

import numpy as np

data = [1, 2, 3, 4, 5]
mean = np.mean(data)
std_dev = np.std(data)

Can you explain what variance is?

Variance measures how far a set of numbers is spread out from their average value. In NumPy, you can calculate it using numpy.var().

What other descriptive statistics can I calculate with NumPy?

You can also calculate the median using numpy.median(), the 25th and 75th percentiles with numpy.percentile(), and the range with simple subtraction of the max and min values.