Explanation of fig, ax from plt.subplots() | Matplotlib

[@ThandoNdoku-hk1ew]

You've taught me in a few minutes what took me weeks to figure out, I hope your video reaches people earlier in their python journey!

[@andrewfrost8866]

You have done an excellent job of explaining the use of Matplotlib's subplot function. Your instructions are clear, concise, and easy to follow, making them accessible for beginners in data visualisation. The use of practical examples, such as changing colours and arranging multiple graphs, is particularly helpful in demonstrating the flexibility and functionality of the subplot tool. This approach not only aids in understanding but also inspires us viewers to experiment with our own data visualisation projects. Great work in making a complex topic approachable and engaging!

[@firefly4444]

Thank you brother so much for this tutorial . It's one of the easiest explanations of the subplot available on the internet out there

[@gisleberge4363]

Very good and intuitive explaination, thanks

[@pypypy4228]

The most easy to understand explanation!

[@Akwjbwbqm]

Excellent work. Thank you very much for the lessons! Please post more videos about matplotlib, I'd love to do them all.

[@lottesarembe2949]

what a good idea to explain this with color! very helpful, thank you

[@sdaiwepm]

Very clear and helpful - thank you!

[@Impedance_Z]

i was working on my project but was struggling to visualize the augmented images in subplot you came in handy also i have matplotlib in my end sem exams too so i struct 2 mangoes with 1 stone thanks to you

[@spacedskunk]

Really good, simple example. Very appreciated!

[@subdas134]

You are great, you teach it easy way.

[@bigplot8068]

Thanks a lot!

[@EM8844]

very cool. matpolotlib docs should have this video in the very front page :D

[@Jaszczer93]

Well explained, the video clarify how to use fig, ax = plt.subplots(). Thanks!

[@JackFarah-v3y]

very good explanation! I just wish you showed how to plot the information when using the fig, axs = plt.subplots(2,2)

[@ranhill4315]

Very clear explanation, thanks!

[@lalithkumar3581]

thank u so much!! i was searching for this so long

[@bigplot8068]

Happy to help!

[@domillima]

Great tutorial. Can you go over how to customize labels and label colors using the fig,axs construction

[@a.s.m.nasimkhan5818]

Good explanation in briefly, Thanks

[@joejoeman3645]

A MILLION THANK YOUS MY FRIEND XOX

[@riperboyxl3216]

underrated channel

[@bigplot8068]

Thanks

[@koma2000music]

Great quick clear explanation! Danke schön!! If I may ask, why do I need to type plt.show() in my Jupyter environment for the figures to display? I tried to turn interactive mode on with these two lines: "from matplotlib import interactive" and "interactive(True)" but they still won't show without plt.show().

[@abhikantbhave]

thanks a lot. appreciate the very you explained.

[@MrCentrax]

Really easy to understand. Thank you

[@bigplot8068]

very welcome!

[@graajith1442]

thanks for this wonderfull video man!!

[@Ashishyejjala_vlogs]

Thank you so much for the simple explanation

[@dhruvatangellamudi]

thank you! clear concise explanation

[@Raiden_Amani]

Thank you so much. 🙌🏾🙌🏾

[@tiagowebber7559]

Very nice!! What software are you using?

[@bigplot8068]

Thanks. I used google colabs for this video. So basically a jupyter notebook

[@MrJouH4]

Great explanation! thank you.

[@fishkenorian]

Thanks, good explanation

[@GladwinNewton]

thanks man. easily understood

[@valentinagloriani3559]

You saved me bro, thank u

[@riperboyxl3216]

how do i leave more space between plots?

[@bigplot8068]

Did you figure it out?

[@finn9000]

@@bigplot8068 add a third blank graph hah

[@raqueldourado7901]

Best channel

[@pickgrowup887]

finally i got this. thanks

[@bigplot8068]

Glad i wasnt alone with the struggle :-D

[@CarlosMoreno-vw4ir]

Soooo good!!! Thanks so much!! keep going please!!

[@bigplot8068]

Will do!

[@maciejej]

Thank you, Sir

[@Thisispow]

Thank you!

[@julianaauzier1330]

Very nice! Thanks a lot ;)

[@bigplot8068]

Happy to help! It's so easy, yet so confusing.

[@UhrBushaltestelle]

very clear

[@maciejs8293]

Good stuff

[@bigplot8068]

Glad you liked it!

[@hejrey6228]

Great!

[@anuragtiwari6910]

thanks !

[@shabnamparveen4572]

thanks

[@alen339]

thx u teach

[@bigplot8068]

Welcome!