Oh, une visualisation sympa du nombre de prénoms donnés par année, en France et aux US
👋 The Python Graph Gallery is a collection of hundreds of charts made with Python.
Graphs are dispatched in about 40 sections following the data-to-viz classification. There are also sections dedicated to more general topics like matplotlib or seaborn.
Each example is accompanied by its corresponding reproducible code along with comprehensive explanations. The gallery offers tutorials that cater to beginners to help kickstart their journey, as well as advanced examples that demonstrate the potency of Python in the realm of data visualization.
The Python Graph Gallery has always been a reservoir of inspiration, providing hundreds of foundational chart examples for newcomers and seasoned developers alike.
While our vast collection offers a stepping stone into the world of data visualization, the following list stands out.
Every chart here represents the pinnacle of craftsmanship, exhibiting the depths to which matplotlib can be customized. These are not just graphs; they are polished masterpieces, ready for publication.
While I'm deeply indebted to the original authors for their stellar work, it's worth noting that many of these visualizations were first conceived in R, a testament to its rich visualization ecosystem. In an endeavor to bring the best to our Python community, I've translated these gems to further showcase the versatility and power of matplotlib.
Dive in and get inspired! 😍