1:19 Simple Plot 2:25 Points have x and y values 3:24 Changing figure size , plot red dots, set axis scales 5:03 Bar charts 6:57 Two sets of 10 random dots 7:45 Time Series 8:41 Random dots in a scatter 9:40 Load csv and show multiple chart types 11:05 Subplots part1 12:30 Subplots part2 13:30 saving figure to image file
@@oggiai yeah, I can see why. With markdown cells and keyword decoration, it makes the presentations nice and easy to read. You end up spending less time deleting content when you transition to the next point you want make.
hi, it would be best if you could guide us through a video by also writing the code and use the documentation while doing it. there are so many method calls and functions one has to wonder where to look for additional self exploration. maybe a second window with the documentation open can show us how you figure out how to code and debug your programs.
7:49: Defining the variable "ts" seems unnecessary because only the index of "ts" is used. This is shorter (and less confusing imo): df = pd.DataFrame(np.random.randn(180, 3), index=pd.date_range('1/1/2018', periods=180), columns=list('ABC') ) df.cumsum().plot() plt.show() Thanks for the great video!
11:00: I cannot get a legend to show when I copy your code, I had to enter the legend manually to get the same results as you plt.legend(df.iloc[:,[1,2])
How can i plot two overlapping gaussian surfaces and its contour in same figure. Only ones contour is getting displayed, also the overlapping is not clear in surface
1:19 Simple Plot
2:25 Points have x and y values
3:24 Changing figure size , plot red dots, set axis scales
5:03 Bar charts
6:57 Two sets of 10 random dots
7:45 Time Series
8:41 Random dots in a scatter
9:40 Load csv and show multiple chart types
11:05 Subplots part1
12:30 Subplots part2
13:30 saving figure to image file
thanks abhimanyu :)
Amazing for someone who has an idea already, thank you
This video presents coding well. My project is becoming insurmountably more fun since viewing.
Very useful examples for matplotlib beginners.
You are a legend joe . Your content is amazing 👍
Thanks. 😀
Thank you so much. I love this presentation format. Was able to follow along code by code and experiment.
Great!
Very nice instructions and clear explanations. Easy to follow!
This was great. Very succinct. Thought Jupyter presentation was excellent better than IDLE IMO. Thx again.
Thanks. I’m doing most of my new videos in Jupyter.
@@oggiai yeah, I can see why. With markdown cells and keyword decoration, it makes the presentations nice and easy to read. You end up spending less time deleting content when you transition to the next point you want make.
hi, it would be best if you could guide us through a video by also writing the code and use the documentation while doing it. there are so many method calls and functions one has to wonder where to look for additional self exploration. maybe a second window with the documentation open can show us how you figure out how to code and debug your programs.
Thanks. That’s good feedback
thanks for this video was struggling with some of the things in matplotlib
7:49: Defining the variable "ts" seems unnecessary because only the index of "ts" is used. This is shorter (and less confusing imo):
df = pd.DataFrame(np.random.randn(180, 3),
index=pd.date_range('1/1/2018',
periods=180),
columns=list('ABC')
)
df.cumsum().plot()
plt.show()
Thanks for the great video!
Nice contribution!
Awesome, only tiny issue, on the last one, I'd say speed should be y axis and altitude on X axis in 100ft increments
Thank you for the concise tutorial!
Thank you. It was very helpful
Very very nice elaborations
The Jupyter Format is great!!
Try Jupyter Lab... much better than Jupyter notebook
Awesome video. Thank you very much.
GreAt video. Thank you
why there is mentioned in subplot argument as 221 , 222, 223,224 respectively ?at timing 12.10
GREAT SIR.... THANKS VERY MUCH....
Legendary!
can you provide a link to the text file that you have used? thanks for such an informative video
I'm sorry I couldn't find the text file on my laptop. And it's not on my GitHub site where I usually put stuff. My apologies.
@@oggiai no issue Sir, really thanks for making so much effort for me 😊. I hope you have a great day
Hi Joe. I am using VS Code IDE and am having issues in importing Matplotlib. Can you assist?
You should use your package installer (pip, yum, or whatever) to make sure you have matplotlib installed and updated.
You should use your package installer (pip, yum, or whatever) to make sure you have matplotlib installed and updated.
what is better matplotlib or seaborn?
Please make machine learning in Python tutorials
I’m getting there. Posted videos on Numpy, Pandas and Matplotlib in the past few weeks. Stay tuned!
Thanks for replying
Could you please share the link to your Git repo.
Www.github.com/joeyajames and there’s a Python folder with all the Python code
11:00: I cannot get a legend to show when I copy your code, I had to enter the legend manually to get the same results as you
plt.legend(df.iloc[:,[1,2])
good
great video
Hi Jame's, please upload python with grafana combination
Why are we not using Jupyter Lab?
I’ve done a few videos in Jupyter, and am working on another right now.
@@oggiai Thanks for the reply. It appears as though you are using Jupyter-notebook. I was suggesting you use Jupyter-Lab. It's awesome
Do you have the codes placed somewhere ?
Yes, it’s all at www.github.com/joeyajames in the Python folder.
@@oggiai Thank you for the reply.
How can i plot two overlapping gaussian surfaces and its contour in same figure. Only ones contour is getting displayed, also the overlapping is not clear in surface
Can you share your notebook?
All my code is on my GitHub site
So this is Python using Mat , Panda and and Numpy to hatch a plot?