How to make a color graph using matplotlib?

How to make a color graph using matplotlib?

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., y, label = "set-1", color='r'), b, label = "set-2", color='g') plt.xlabel('xaxis') plt.ylabel('yaxis') plt.legend()

Relevant Projects

Avocado Machine Learning Project Python for Price Prediction
In this ML Project, you will use the Avocado dataset to build a machine learning model to predict the average price of avocado which is continuous in nature based on region and varieties of avocado.

Data Science Project in Python on BigMart Sales Prediction
The goal of this data science project is to build a predictive model and find out the sales of each product at a given Big Mart store.

Learn to prepare data for your next machine learning project
Text data requires special preparation before you can start using it for any machine learning project.In this ML project, you will learn about applying Machine Learning models to create classifiers and learn how to make sense of textual data.

Walmart Sales Forecasting Data Science Project
Data Science Project in R-Predict the sales for each department using historical markdown data from the Walmart dataset containing data of 45 Walmart stores.

German Credit Dataset Analysis to Classify Loan Applications
In this data science project, you will work with German credit dataset using classification techniques like Decision Tree, Neural Networks etc to classify loan applications using R.

Locality Sensitive Hashing Python Code for Look-Alike Modelling
In this deep learning project, you will find similar images (lookalikes) using deep learning and locality sensitive hashing to find customers who are most likely to click on an ad.

Topic modelling using Kmeans clustering to group customer reviews
In this Kmeans clustering machine learning project, you will perform topic modelling in order to group customer reviews based on recurring patterns.

House Price Prediction Project using Machine Learning
Use the Zillow dataset to follow a test-driven approach and build a regression machine learning model to predict the price of the house based on other variables.

Abstractive Text Summarization using Transformers-BART Model
Deep Learning Project to implement an Abstractive Text Summarizer using Google's Transformers-BART Model to generate news article headlines.

Churn Prediction in Telecom using Machine Learning in R
Estimating churners before they discontinue using a product or service is extremely important. In this ML project, you will develop a churn prediction model in telecom to predict customers who are most likely subject to churn.