How to make a color graph using matplotlib?
This recipe helps you make a color graph using matplotlib
Recipe Objective
How to make a color graph using matplotlib?
Step 1 - Importing Libraries.
import matplotlib.pyplot as plt
import numpy as np
Step 2 - Creating two different sets of Array.
x=np.array([2,5,7,9,10,11,15,18,21,24,27,33,38,40,55,64])
y=np.array([5,1,9,5,10,13,19,15,21,24,28,35,41,45,50,71])
a=np.array([2,6,9,11,14,17,19,18,22,29,28,30,32,38,39,63,67,89])
b=np.array([6,9,1,11,17,19,22,25,31,34,40,47,48,55,76,81,90,91])
Step 3 - We will plot the Bar Graphs for two different sets of the array by assigning two different colors two them.
plt.bar(x, y, label = "set-1", color='r')
plt.bar(a, b, label = "set-2", color='g')
plt.xlabel('xaxis')
plt.ylabel('yaxis')
plt.legend()
What Users are saying..
Anand Kumpatla
Sr Data Scientist @ Doubleslash Software Solutions Pvt Ltd
ProjectPro is a unique platform and helps many people in the industry to solve real-life problems with a step-by-step walkthrough of projects. A platform with some fantastic resources to gain... Read More
Relevant Projects
Machine Learning Projects
Data Science Projects
Python Projects for Data Science
Data Science Projects in R
Machine Learning Projects for Beginners
Deep Learning Projects
Neural Network Projects
Tensorflow Projects
NLP Projects
Kaggle Projects
IoT Projects
Big Data Projects
Hadoop Real-Time Projects Examples
Spark Projects
Data Analytics Projects for Students
You might also like
Data Science Tutorial
Data Scientist Salary
How to Become a Data Scientist
Data Analyst vs Data Scientist
Data Scientist Resume
Data Science Projects for Beginners
Machine Learning Engineer
Machine Learning Projects for Beginners
Datasets
Pandas Dataframe
Machine Learning Algorithms
Regression Analysis
MNIST Dataset
Data Science Interview Questions
Python Data Science Interview Questions
Spark Interview Questions
Hadoop Interview Questions
Data Analyst Interview Questions
Machine Learning Interview Questions
AWS vs Azure
Hadoop Architecture
Spark Architecture
Relevant Projects
ML Model Deployment on AWS for Customer Churn Prediction
MLOps Project-Deploy Machine Learning Model to Production Python on AWS for Customer Churn Prediction
Digit Recognition using CNN for MNIST Dataset in Python
In this deep learning project, you will build a convolutional neural network using MNIST dataset for handwritten digit recognition.
LLM Project to Build and Fine Tune a Large Language Model
In this LLM project for beginners, you will learn to build a knowledge-grounded chatbot using LLM's and learn how to fine tune it.
Loan Eligibility Prediction Project using Machine learning on GCP
Loan Eligibility Prediction Project - Use SQL and Python to build a predictive model on GCP to determine whether an application requesting loan is eligible or not.
Deploying Machine Learning Models with Flask for Beginners
In this MLOps on GCP project you will learn to deploy a sales forecasting ML Model using Flask.
Medical Image Segmentation Deep Learning Project
In this deep learning project, you will learn to implement Unet++ models for medical image segmentation to detect and classify colorectal polyps.
Hands-On Approach to Regression Discontinuity Design Python
In this machine learning project, you will learn to implement Regression Discontinuity Design Example in Python to determine the effect of age on Mortality Rate in Python.
Build a Multi Class Image Classification Model Python using CNN
This project explains How to build a Sequential Model that can perform Multi Class Image Classification in Python using CNN
Learn How to Build a Linear Regression Model in PyTorch
In this Machine Learning Project, you will learn how to build a simple linear regression model in PyTorch to predict the number of days subscribed.
OpenCV Project for Beginners to Learn Computer Vision Basics
In this OpenCV project, you will learn computer vision basics and the fundamentals of OpenCV library using Python.