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
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!
Hello! It's currently midnight.. I finally finished this course:) It was super Fantastic.. Thank you so much:) it really helped me in my data science way:) Thanks a lot:)
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
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 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.
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 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*
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?
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()
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?
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If you just want to play around with ML models, it is not necessary. But if you really want to become an AI/ML engineer, there is no way around linear algebra, calculus and statistics. Otherwise you have no idea what is happening and you don't understand how and why things happen (e.g., vanishing gradients, differences between activation functions etc.).
Yes thats true, but they are R libraries and thus better suited in R than python. Thats why everybody uses matplotlib instead of plotly or gplot in python.
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
Thank you so much for the course. You have no idea how much of a difference you've made.
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.
Please make crash course of pandas
Hello! It's currently midnight.. I finally finished this course:)
It was super Fantastic..
Thank you so much:) it really helped me in my data science way:)
Thanks a lot:)
Fascinating course,I badly need you to continuously update the program,love from China.
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.
Best explanation that gives a quick overview of the topic: short and precise!
Super cool video, refreshed a lot of concepts I haven't used in a while. Subscribed and will watch more!
Hi, thanks for the informative video; it was able to ramp me up quickly on both python and plotting. :)
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
great video, thanks man
this is something data scientists should have as compulsory course
Sehr schönes und einfach erklärtes Video. Ist für mich wie ein animiertes Cheatsheet 🙂
It was an amazing course, understands how the matplotib only in a single video !!
Thx, very nice as a hop into this. I immediatly fall in love with matplotlib
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.
Nice, I learned about the pause function in plotting :)
Honestly amazing video - I learnt so much and was engaged throughout.
That was an amazing video, with a great explanation! Thanks for this rich content.
absolutely perfect
Really great introduction to matplotlib. Many thanks!
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 !
Sehr leiwandes Video! Chapeau!
Amazing video. Followed every step! Thanks.
Your explanation is very good..Very informative and useful for presentation we need at office
Excellent style of making me understand. Thanks for this
How.. How is every video a banger?
thank you so much i love watching your videos keep going.
thank youuuu sooo much for this amazing tutorial
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.
Banger content as usual
i look the video maybe the best youtube chanel in my opinion
great video, learned alot
Absolutely 💯 perfect
thank you very much bro............
Thanks for teaching
I realized you never blinked
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 wonderful video we really appreciate
Thank you this was very helpful !
Awesome explaination !
super helpful. Thanks!
bro is loving popos. thank you btw
bro doesn't blink whatsoever
Thanks for the educational video
Thanks man !
Such a excellent video.....
¡Amazing course! Thanks a lot.
Thanks brother, amazing video
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 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*
Thank you!!
how did u make your plt console black? not the backgroud, i want to make console black
thank you so much :)
Thank you, excellent
Thank you🙏
What IDE do you use?
Thank you so much!
very very useful
great video
You're really good
thx a lot
so helpful
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?
WOW!!! THX
Loved it
Great video, easy to follow for beginners like me
Also do for plotly
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()
excellent as alwayas.
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?
Great
Wonderful lesson!!! Would you be interested on a project for healthcare? Perhaps a 1:1 conversation. Pls let me know. Tks
thanks
I would appreciate if you can increase font size for youtube
how are you able to rotate the 3d plot ?
It would be better if the explanation was on dataset rather than a lists of values
Want play?
1. CodeCraft Duel: Super Agent Showdown
2. Pixel Pioneers: Super Agent AI Clash
3. Digital Duel: LLM Super Agents Battle
4. Byte Battle Royale: Dueling LLM Agents
5. AI Code Clash: Super Agent Showdown
6. CodeCraft Combat: Super Agent Edition
7. Digital Duel: Super Agent AI Battle
8. Pixel Pioneers: LLM Super Agent Showdown
9. Byte Battle Royale: Super Agent AI Combat
10. AI Code Clash: Dueling Super Agents Edition
Bro to learn machine learning and deep learning should I learn maths in depth?
I'm feeling difficulties in maths😢
If you just want to play around with ML models, it is not necessary. But if you really want to become an AI/ML engineer, there is no way around linear algebra, calculus and statistics. Otherwise you have no idea what is happening and you don't understand how and why things happen (e.g., vanishing gradients, differences between activation functions etc.).
thnx
Could you please share this file ? Or which platform this?
❤👍
Matplotlib didn't work please help me.
Nah, I would avoid using Matplotlib. HvPlot or Plotly Express are way simpler and also interactive.
Yes thats true, but they are R libraries and thus better suited in R than python. Thats why everybody uses matplotlib instead of plotly or gplot in python.
Make a course on scikit learn
I love see tutorials on english xD
U skipped stack plot.
20:55
good
Thx_.
please make crasg course of pandas
20:00
Great Cake for breakfast but waiting for dinner 😁🏆
33:21
14:01
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Thanks a lot. kindly share the source code