Skip to main content

Exp 16

 Visualize the datasets using matplotlib in python.(Histogram, Bar chart, Pie chart etc.,)

Histogram

import matplotlib.pyplot as plt

x = [1,1,2,3,3,5,7,8,9,10,

10,11,11,13,13,15,16,17,18,18,

18,19,20,21,21,23,24,24,25,25,

25,25,26,26,26,27,27,27,27,27,

29,30,30,31,33,34,34,34,35,36,

36,37,37,38,38,39,40,41,41,42,

43,44,45,45,46,47,48,48,49,50,

51,52,53,54,55,55,56,57,58,60,

61,63,64,65,66,68,70,71,72,74,

75,77,81,83,84,87,89,90,90,91 ]

plt.style.use('ggplot')

plt.hist(x, bins=10)

plt.show()

output:



////

Bar Chart:

import matplotlib.pyplot as plt

country = ['A', 'B', 'C', 'D', 'E']

gdp_per_capita = [45000, 42000, 52000, 49000, 47000]

plt.bar(country, gdp_per_capita)

plt.title('Country Vs GDP Per Capita')

plt.xlabel('Country')

plt.ylabel('GDP Per Capita')

plt.show()

output://///

Pie chart:

# Import libraries

from matplotlib import pyplot as plt

import numpy as np

# Creating dataset

cars = ['AUDI', 'BMW', 'FORD',

'TESLA', 'JAGUAR', 'MERCEDES']

data = [23, 17, 35, 29, 12, 41]

# Creating plot

fig = plt.figure(figsize =(10, 7))

plt.pie(data, labels = cars)

# show plot

plt.show()



Comments

Popular posts from this blog

Data structures: Introduction to Trees

Tree: The data in a tree are not stored in a sequential manner i.e., they are not stored linearly. Instead, they are arranged on multiple levels or we can say it is a hierarchical structure. For this reason, the tree is considered to be a non-linear data structure. KeyConcepts : Nodes : Individual units within the tree, each storing data and potentially linking to other nodes. Edges : Connections between nodes, representing relationships (parent-child, sibling, etc.). Root : The topmost node in the tree, from which all other nodes originate. Parent : A node that has one or more child nodes. Child : A node connected to a parent node. Leaf : A node with no children. Subtree : A portion of a tree that is itself a tree. Representation of tree: Binary search tree :

Hashing and hash functions

Types of hash functions

Data structures dequeues