

Study with the several resources on Docsity
Earn points by helping other students or get them with a premium plan
Prepare for your exams
Study with the several resources on Docsity
Earn points to download
Earn points by helping other students or get them with a premium plan
Community
Ask the community for help and clear up your study doubts
Discover the best universities in your country according to Docsity users
Free resources
Download our free guides on studying techniques, anxiety management strategies, and thesis advice from Docsity tutors
A comprehensive introduction to data visualization in python using the matplotlib library. It covers the fundamental concepts of data visualization, including its meaning, advantages, and steps involved. The document also explores various types of visualizations available in matplotlib, such as line charts, bar charts, histograms, scatter plots, pie charts, box plots, and 3d plots. It further delves into the steps involved in plotting a simple line graph and provides a detailed explanation of important matplotlib methods and their parameters for customizing visualizations. Additionally, the document touches upon the concept of random walks and introduces the plotly library for creating interactive visualizations.
Typology: Lecture notes
1 / 2
This page cannot be seen from the preview
Don't miss anything!
Meaning ➔It is the representationData visualization of data and information in a ➔^ graphical^ maps and imagesThe data inor python^ pictorial is visualized^ form^ such using^ as^ chartsthe ‘ matplotlib^ ,graphs^ ,‘ Advantages^ library^ bar , scatter etc^ which^ is^ used^ to^ form^ the^ charts^ like^ line^ ,
Type of visualization in matplotlib 1. 2. Line chartBar chart
Description ➔To graph plot data on the ➔ ➔It a scatter plotTo is usedcreate to create a ➔^ histogramTo create a bar
Example Plt.plot ( x ,y ) Plt.scatter ( x , y ) Plt.hist ) ( data Plt.bar( ,height) x
Plt.pie ) Plt. title ( (sizes “ ng “ ) Plt.xlabel (“abc “ ) Plt.ylabel qwr “ ) Plt.xlim ( 0, 10) ( “ Plt.ylim 100 ) Plt.xticks ( (^0) (, range ) Playsticks , 0 , 11 ,1( range ) , 0 , 10 , 2
Plot method parameters for customizing a line graph 1. 2. X - the x coordinate of the plotY - the y coordinate of the plot