Plotting Google Trends Graphs with Matplotlib & Pandas

In this lesson, we'll find out once and for all - which programming language is the most popular. Using Pytrends, we'll extract data from Google Trends and learn how to present it in the form of graphs and charts.
We'll plot line graphs and bar charts using Matplotlib and Pandas, and continue our journey towards Machine Learning.

Pytrends Documentation:

The full code on Github:

Add me on LinkedIn:

[daw]

I just hope you're aware of you're the best tutor of the Python in whole YT. Best wishes!

[petermuyila]

The ONLY python teacher on like how you do your stuffs very loud and clear and easy to follow. 😍😍😍

[RS-txbu]

Beautifully told the story with data.
Appreciate how you make complicated things simple and easy.
תודה לך
תמשיך בעבודה הטובה אחותי!

[digigoliath]

It's 3.30am and your video popped up. TQVM. I love Panda & Matplotlib!!

[somukdutta]

This is one heck of a life save ! Thank you queen !

[vldd]

Nice content! Thank you for the lesson

[amilcarc.dasilva]

Hi, Mariya Sha. Thanks a lot. Your video tutorial is useful

[mohamadhabibhomeidi]

Very nice, thanks alot for you.
I'm so happy to watch your video.

[a.c.bonneville]

this is a really good tutorial, thank you

[retiksingh]

Really Amazing work. I am blown by the way you teach. Google needs to fix the bug it should be 1.76M and not 1.76K . Way to go Queen!!!

[webscrapingwithandy]

⭐️ Timestamps ⭐️
1:45 - Install matplotlib and pytrends
02:18 - import libs and make a pytrends object to request Google Trends data
02:45 - extract data about weekly searches of certain keywords
03:56 - specify and get data
04:43 - plot data
07:11 - analyze data
08:42 - extract country-level keywords search data
09:22 - get countries with the highest searches of "Python"
10:12 - convert to DataFrame
10:27 - plot a bar chart
12:26 - an assignment

[anushravsingh]

amazing content ! one of the best explenations

[_tg]

Here should be 700k views, not 700 :) Nice and simple for
understanding content.

[MrJekyllDrHyde]

IThe step at 5:05 didn't work, I had to add
data = data.drop('isPartial', axis=1)
to the code to, make it work

[syedabbas]

This is great, I am your fan already!

[milo-qhcv]

any way to integrate this with tradingview? if so that would be super amazing

[frodounterberg]

i should already sleep but just wanna leave: nice video!
going to build it on weekend :D

[Martin.Eriksson]

Hi!
Is there a way to plot the legend description window outside of the actual chart area so that it won't cover any actual chart element?
Thanks for the video.

[serenadenphoto]

I tried it with the exact same code but ended up with tons of error messages. Could it be that I'm using MacOS and with Swedish as my primary language?

One example:
'Missing category information for StrCategoryConverter; this might be caused by unintendedly mixing categorical and numeric data'

[edytaoow]

Is it possible to make exe (app) from jupyter notebook?