After graduating from The George Washington University with a Bachelor of Business Administration in International Business, I began my career as an asset management intern for the Real Estate Fina...
Hi there, I was having some trouble with the "visualizing the statistics" section as detailed in sections 2.1 and 2.2; if you take a look at my GitHub repo, you'll notice I had to comment out # %matplotlib inline and replaced requirement with plt.ion() within the script-running file (trumpet.py) in order to run the scripts without failure (e.g. python3 trumpet.py). Can you please explain how to generate the visualizations as detailed in those sections? For some reason, I'm unable to render those visual within my Jupyter Notebook-env/config. I'm only 10 days new to Python, so I'd appreciate any guidance. Great tutorial-
thanks!
Instead of adding plt.ion() at the beginning, you can add the following code each time you're generating a plot, in order to visualize it: plt.show(). This will open an external window and display the immediately last plot generated.
After graduating from The George Washington University with a Bachelor of Business Administration in International Business, I began my career as an asset management intern for the Real Estate Fina...
Hi there, I was having some trouble with the "visualizing the statistics" section as detailed in sections 2.1 and 2.2; if you take a look at my GitHub repo, you'll notice I had to comment out #
%matplotlib inlineand replaced requirement withplt.ion()within the script-running file (trumpet.py) in order to run the scripts without failure (e.g.python3 trumpet.py). Can you please explain how to generate the visualizations as detailed in those sections? For some reason, I'm unable to render those visual within my Jupyter Notebook-env/config. I'm only 10 days new to Python, so I'd appreciate any guidance. Great tutorial-thanks!
Sure! It's quite easy actually. :)
Instead of adding
plt.ion()at the beginning, you can add the following code each time you're generating a plot, in order to visualize it:plt.show(). This will open an external window and display the immediately last plot generated.You can see this in the Official Pyplot tutorial I shared at the end (References).
Please let me know I you have any other problem. :)
Got it, Rodolfo! Thank you for the guidance- tremendous fun! ;)