python-scipyHow do I create a QQ plot using Python and SciPy?

To create a QQ plot using Python and SciPy, you can use the probplot() function from the scipy.stats module. This function takes two arguments, the first being the data to be plotted, and the second being the distribution of the data. Here is an example code block:

import matplotlib.pyplot as plt
from scipy.stats import probplot

data = [1,2,3,4,5,6]

probplot(data, dist='norm', plot=plt)
plt.show()

This will produce a QQ plot that looks like this:

Code explanation

• import matplotlib.pyplot as plt imports the pyplot module from the matplotlib library, which is used to display the plot.
• from scipy.stats import probplot imports the probplot function from the scipy.stats module, which is used to create the QQ plot.
• data = [1,2,3,4,5,6] creates a list of data points that will be plotted.
• probplot(data, dist='norm', plot=plt) calls the probplot() function with the data points and the normal distribution as arguments.
• plt.show() displays the plot.

For more information, see this page from the SciPy documentation.

Edit this code on GitHub