Plot Crypto Prices in Python with CoinGecko API Data | Python, Seaborn,

Let's pull crypto price data from the Coingecko API and then plot it with Python in Jupyter Notebooks.
We'll plot the prices of BTC and ETH over the last 2 years against each other.
This can be useful if you're analyzing price dynamics for trading or investing.
We'll be using Jupyter Notebooks, Seaborn, Matplotlib, and PyCoinGecko libraries.

If you find this video useful, give it a like and subscribe!

-------------------
Documentation:

[blockmancodes]

Do you want to see Python Machine Learning & Analytics tutorials geared towards trading and investing?

[RA-egtw]

You should start a discord server. It'd be great to talk and share ideas

[gyrogearloose]

Hello Sir! Really cool content, thank you very much! One question though. How do I add human readable times to the x axis. It helps reading and marking outliers, when the date is actually readable.

[Supercharged_Mindset]

Awesome tutorial man, thanks for sharing!

I tried following along in Visual Studio but couldn't get the graph to show up after executing the code. I've tried matplotlib.pyplot.show(), plt.show() and sns.show() but it didn't work. Also, for some reason the human readable time came out to be for some reason.


Any ideas what might be causing these errors and how to fix them?

[sassbi]

Hi, could you explain the format of the time axis? Why doesnt it create normal dates?

[badgood]

Can i Get the source code for this please ???