I actually had another video for matplotlib open but then I saw yours on the side panel and immediately felt the need to watch it, best decision, you just explain it better than anyone else. Thank you

Best explanation that gives a quick overview of the topic: short and precise!

Please make crash course of pandas

Thank you so much for the course. You have no idea how much of a difference you've made.

Sehr leiwandes Video! Chapeau!

This video was simple to understand and contain important powerful content for me to learn Matplotlib for the very first time. The best fact about this video is that it was SHORT yet the information showed years of experience and knowledge. Thank you so much for making Data Science accessible to people like me who are very new to coding and data science. Keep up the brilliant work and making your explanations simple for people like me to understand. Many thanks for an incredible crash course!

It was a pleasure watching this short tutorial. I got ideas for my own thing from it.

Thanks a lot for bringing in such a content. Would love to see a crash course on pytorch or something like this

WOW, That was amazing. You covered most of the fundemntals in an hour. I really learned a lot.

as a spanish speaker. i been spend 4 long years to be bilingual so i understand the 90% what you said. so i have some grammatic mystakes in my sentences. many thanks for your tutorial bro.🎉😊

Sehr schönes und einfach erklärtes Video. Ist für mich wie ein animiertes Cheatsheet 🙂

See your chanel first time and what to leave a comment. English is not my native language I have Intermediate level of English but I completely understand every take of your video. I understood everything thanks to your way of expressing your thoughts and the examples you provided. I also liked that there was nothing superfluous. I wish prosperity and growth to your channel

Super cool video, refreshed a lot of concepts I haven't used in a while. Subscribed and will watch more!

Really great introduction to matplotlib. Many thanks!

great video, thanks man this is something data scientists should have as compulsory course

That was an amazing video, with a great explanation! Thanks for this rich content.

It was an amazing course, understands how the matplotib only in a single video !!

Your video is excellent with some great tips. Your faded white characters on a dark gray background make it tedious to follow your code. A slightly larger font would also be appreciated.

Thank you for your time and effort. You have made it so easy to understand these concepts in such a short video. Thank you once again.

Honestly amazing video - I learnt so much and was engaged throughout.

Nice, I learned about the pause function in plotting :)

Hey, that's an awesome tutorial but I had to say you completely disregarded polar plots for some reason, being the reason I came here in the first place I was kinda left unsatisfied but overall always some awesome content !

Your explanation is very good..Very informative and useful for presentation we need at office

Amazing video. Followed every step! Thanks.

How.. How is every video a banger?

Excellent style of making me understand. Thanks for this

It was very helpful for beginner like me. Thabk you very much. Now please make another for with details on heat maps, meshgrids please, topography.

thank you so much i love watching your videos keep going.

Super Video! Habs grad durchgemacht und mir mit Phyinstaller ein Exe File der Demos gebaut. Nur bei dem Log Beispiel kommt ne Division durch Null Warnung, und am Schluss die Animation mit den 100000 Durchläufen ist etwas lang 😂 und muss dann Abgeschossen werden. Jetzt wäre in dem Zusammenhang interessant wie man echte Daten aus zB Textdateien / Exceldateien / Datenbanken zb SQlite einlesen und Visualisieren kann. Vielleicht auch noch ein File mit Plot Konfigurations Daten.

thank youuuu sooo much for this amazing tutorial

¡Amazing course! Thanks a lot.

great video, learned alot

thank you for wonderful video we really appreciate

i look the video maybe the best youtube chanel in my opinion

absolutely perfect

thank you so much!!

Thank you this was very helpful !

Such a excellent video.....

Wonderful lesson!!! Would you be interested on a project for healthcare? Perhaps a 1:1 conversation. Pls let me know. Tks

Thank you a lot. *Can you show us what is the best way to transfer a py file to exe? Im talking about huge programs contains many modules… thanks in advance*

Banger content as usual

bro doesn't blink whatsoever

Awesome explaination !

Thanks brother, amazing video

super helpful. Thanks!

bro is loving popos. thank you btw

thank you so much :)

Thanks for the educational video

Thank you so much for this

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"1 for Java" 💀

I realized you never blinked

Thanks man !

Thank you so much!

Thank you, excellent

It would be better if the explanation was on dataset rather than a lists of values

Thank you !

Also do for plotly

Nah, I would avoid using Matplotlib. HvPlot or Plotly Express are way simpler and also interactive.

I love see tutorials on english xD

Great Cake for breakfast but waiting for dinner 😁🏆

Thank you!!

hey i have a question, i was using ggplot2 in R for a while and it contain a interactive interface for ploting data, called esquisse. I wanna know if there's a similiar thing in matplotlib library?

thank you!

I would appreciate if you can increase font size for youtube

how did u make your plt console black? not the backgroud, i want to make console black

so helpful

Thank you🙏

Loved it

You're really good

How difficult would it be to open a csv file, and loop thru each column, and if it's the desired column, then plot it? I was thinking something like # for each column loop: # axIdx = ax1.twinx() # axIdx.plot(time, column_data,color=UUUUUUU, label=ZZZZZZ) # axIdx.legend(loc='upper right', bbox_to_anchor=(XXXXX, YYYYY), ncol=2, borderaxespad=0) # axIdx++ where axIdx would have to be a variable that is being generated as it processes the file? Similarly, the color (UUUUUU), label (ZZZZZZ), and position where to put that data's legend (XXXX/YYYY) would need to be variables based on the column being processed, and the number of items already plotted? Or thoughts on how one might solve this kind of plot?

excellent as alwayas.

Hey I was wondering If I could get your help. This is from the 3d section of your video I believe and the code doesn't work, I tried to fix it for newer version but it still isnt' working 100 percent. Here what I did to edit your code for this section import numpy as np import matplotlib.pyplot as plt x = np.linspace(-5,stop=5, num=100) y = np.linspace(-5, stop=5, num=100) x, y = np.meshgrid(x,y) z = x * y fig = plt.figure(figsize=(14,6)) ax = fig.add_subplot(111, projection='3d') ax.plot_surface(x, y, z, cmap='viridis') ax.set_title('3D Plot') ax.set_xlabel('X-Axis') ax.set_ylabel('Y-Axis') ax.set_zlabel('3D Plot') plt.show()

Thanks

WOW!!! THX

Great

great video

thanks

how are you able to rotate the 3d plot ?

Make a course on scikit learn

Matplotlib didn't work please help me.

U skipped stack plot.

❤👍

What IDE do you use?

20:55

Great video, easy to follow for beginners like me

Bro to learn machine learning and deep learning should I learn maths in depth? I'm feeling difficulties in maths😢

Could you please share this file ? Or which platform this?

thnx

20:00

please make crasg course of pandas

33:21

Thx_.

At least incease the font size or use the zoom feature of the screen recorder or do both like other tutorials. You have a good tutorial but it seems like a waste when you don't even bother to take into consideration your viewers who are watching the video.

Thanks a lot. kindly share the source code

good

🎉🎉❤

Please make a crash course of pandas

Man clearly hates Java 😅