Drawing Andrews Curves using pandas

Overview:

Andrews curves project multivariate data, through the vector formed by the co-efficients of the finite Fourier series on to a two-dimensional space.
The Fourier series and the vector is given by

Each data point "t" in the multivariate data, is represented by a curve between −π and π.
If two curves appear closer in the Andrews Curves plot, then these two data points are indeed closer.
Given a "class" column of a pandas DataFrame, the function andrews_curves() from the plotting module of the pandas library, draws Andrews curves.

# Example Python program that plots
# Andrews curves for a multivariate data
# Data Courtesy: https://archive.ics.uci.edu/ml/datasets/Breast+Tissue

import pandas as pds
import matplotlib.pyplot as plt

# Read data from a CSV file into a DataFrame
df = pds.read_csv("BreastTissue.csv");

# Draw Andrews curves
pds.plotting.andrews_curves(df, "Class");

plt.title("Breast tissue classification using Andrews Curves:");
plt.show(block=True);

Drawing Andrews Curves using Pandas plotting module