In this book, you will find a number of text styles that distinguish between different kinds of information. Here are some examples of these styles and an explanation of their meaning.
Code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles are shown as follows: "First we use
norm() from SciPy to create normal distribution samples and later, use
hstack() from NumPy to stack them horizontally and apply
gaussian_kde() from SciPy."
A block of code is set as follows:
import numpy as np import pandas as pd import seaborn as sns import matplotlib.pyplot as plt students = pd.read_csv("/Users/Macbook/python/data/ucdavis.csv") g = sns.FacetGrid(students, palette="Set1", ...