Matplotlib Tutorial 6 - Pie Chart

This matplotlib tutorial shows how to plot pie chart. For home expenses, I'll plot individual expense items as a pie and will show how you can use different properties such as autopct, explode, radius, shadow etc to create beautiful looking pie charts

Topics that are covered in this Video:
0:00 Introduction
0:55 Plot a pie chart
2:01 Increse redius of chart
2:32 Autopct argument to show percentage
3:44 Explode argument
4:55 startangle argument

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[SravanKumar-izkx]

great work bro the tutorials are really awesome

[PratikPolicy]

Good explanation. I tried all and it worked. :)

[AJ-etvf]

Awesome tutorial. Lucid and concise. Thank you!

[CELESTINEKILONZO-zxwg]

The video is quite good.
would you mind senting the link for he documentation you have been using throughout the video

[lilianajalpap.]

Hi :D Is it possible to put values instead of percentages in the pie chart ?

[BeatBoxBudda]

Top man, brilliant tutorial cheers boss

[MuhammadWaqas-serg]

need a video on "Kernel Density Estimation Plots"

[edubuzz]

How can i increase the text(labels) size ? like Food, Rent etc?

[technicalknowledge]

Sir I want to learn data analysis course tell me fees and duration and syllabus and course content like python power bi and SQL etc ur package 📦

[dileeprandhi]

what should i do if i need 'exp_vals' to be printed on pie but not percentage's.
I mean i dosn't need percentage's i need the values to be printed.

[ratheshr]

I am facing an error "str object not callable". While adding the axis("equal") line. Can you help me with this?

[aviraldixit]

Very Good Explanation!!
Had a small query, can we create dynamic pie charts and export them to excel using matplotlib ?

[es]

entha versionLA python use pandringa....

[chandanpatra]

Please plot pie chart using a dataframe as data. Otherwise plotting piechart the way you have shown are also available in other websites.

[dengcomm]

Pls...code on github can't be loaded..something wrong !!!

[nikhilgond]

exp_vals = [1400, 600, 300, 410, 250]
exp_labels = ['Home Rent', 'Food', 'Phone/Internet Bills', 'Car', 'Other Utilities']