Python Data visualization, (Applied Data Science Class)

#sample code for plotting a bar diagram

import matplotlib.pyplot as plt

movies = ["Annie Hall", "Ben-Hur", "Casablanca", "Gandhi", "West Side Story"]

num_oscars = [5,11,3, 8, 10]

xs = [i + 0.1 for i, _ in enumerate(movies)]

plt.bar(xs, num_oscars)

plt.ylabel("# of Academy Awards")

plt.title("My favorite movies")

plt.xticks([i + 0.5 for i, _ in enumerate(movies)], movies)

plt.show()

#Create a Histogram of 1000 random grades

from collections import Counter

import matplotlin

matplotlib.use("Agg")

import matplotlib

grades =[]

#create a list of 1000 random grades between 0 and 100

decile = lamda grade:grade // 10 *10

histogram = COunter(decile(grade) for grade in grades)

plt.bar([x-4 for x n histogram.keys()], histogram.values(), 8)

plt.axis([-5, 105, 0, 5])

plt.xticks([10 * i for i in range(11)])

plt.xlabel("Decile")

plt.ylabel("# of Students")

plt.title("Distribution of the grades")

plt.savefig("histogram.png")