This repository contains a Jupyter Notebook to help you create and visualize beautiful plots with Matplotlib and Seaborn for your Music Library.
Here I will show some of these plot.
- Feel free to customize it for your purposes.
- Feel free to clone this repository if you want.
The script reads a .xml file, that can be modified accordingly.
(I have to give credit to francisco yira for the part related to exporting the .xml file.)
You will need to install some packages for the data visualization/analysis parts.
Below there is a small excerpt from the Jupyter Notebook, with some annotations. Please refer to the .ipynb file and not to the text below for the updated and correct code.
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# import the necessary package
# set the text to LaTEX font and other graphical tweaks
# open the .xml file - First plot! This will show the number of pages
# plot a histogram of column '# pages'
# plot a histogram showing some info about the number of tracks, albums and artists