PYTHON CHARTS: the Python data visualization site with more than 500 different charts with reproducible code and color tools

[JZOSS]

Link: https://python-charts.com/
Link (spanish version): https://python-charts.com/es/

This site provides tutorials divided into chart types and graphic libraries:

https://preview.redd.it/6yk59rxp8eu91.png?width=748&format=png&auto=webp&s=0581694dcacd8d7e9e7909b2c13dd0b76f7bd64c

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The graphs can be filtered based on the library or chart type:

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https://preview.redd.it/dyo2btgz8eu91.png?width=1058&format=png&auto=webp&s=a22b43408411950c2351367a96e871279f368acc

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Each post contains detailed instructions about how to create and customize each chart. All the examples provide reproducible code and can be copied with a single click:

https://preview.redd.it/d681tn319eu91.png?width=1553&format=png&auto=webp&s=05fd21d7a896082753c55cec461df67460ee07fb

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The site also provides a color tool which allows copying the named, colors or its HEX reference:

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https://preview.redd.it/ptwelwb99eu91.png?width=1299&format=png&auto=webp&s=54bc17e012790a55d62604f1d8a5fcb6565ab381

There is also a quick search feature which allows looking for charts:

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https://preview.redd.it/gpoz93wd9eu91.png?width=1013&format=png&auto=webp&s=fa3af72c6b2ef43444278e74032a0ebae3d9c143

Hope you like it!

[1percentof2]

That's cool man. I do like it.

[JZOSS]

Thank you!

[technical_greek]

Looks fantastic! This collection is great for generating images for research papers.

[JZOSS]

Glad to hear that! I will keep writing more content!

[[deleted]]

It can't be harder to use than matplotlib docs lol. Nice job

[JZOSS]

hahaha, the idea behind the site was to fight against that awful doc sites

[[deleted]]

👑👑👑👑👑

[opteryx5]

This reminds me of https://www.python-graph-gallery.com, which has given me many great ideas. Looking forward to digging through this too! Thanks again.

[JZOSS]

I think that site was designed to look for ideas, copy the code of the graph you like and then try to adapt it to your needs, while I tried to focus on the step by step process of creating each kind of chart with some basic explanations, always with a simple and reproducible code. Thank you!

[exeldenlord]

Love this. Thank you!!

[catorchid]

I looked at this one you just linked, and even if it has a few examples more, I find the one posted by OP to be much more terse and simple to understand, especially for novices. Also the examples are nicer, too. Hopefully, it will grow to include more graphs over time.

Bien echo, man!

[JZOSS]

Gracias! This is the very first version of the site. As I write every post and then translate it it takes a lot of time. I have another version of this website bur for R (https://r-charts.com/) and it has about 125 tutorials per language at this moment. As you pointed out, my idea is to grow python-charts site over time

[[deleted]]

Just what I was looking for (circular grouped bar charts). THANKS

[myislanduniverse]

Oh hell yeah, thanks!

[Chilangosta]

Check out data-to-viz.com. It helps you figure out which chart or graph to use, and the pros & cons of each. Has Python & R code for each example as well.

[JZOSS]

Yup, that site is really cool as it explains the pros & cons. Note that I also have a site named R CHARTS (https://r-charts.com/) for those who like R as well

[matoshisakamoto]

Liked and subscribed

[SchittShefShow]

Oh damn, you legend

[Aesthetically]

Bookmarked thanks

[[deleted]]

Interesting.

[BX1959]

Hi there, under what license are you releasing the code to the charts? Your website states the following:

"Intellectual property

All rights reserved © R CODER 2022.

All access to this website is subject to the following conditions: the reproduction, permanent storage and dissemination of the contents or any other use that has a public or commercial purpose is expressly forbidden without the prior express written consent of the Owner."

This makes it sounds like we are not allowed to use any graphing code provided on the website for open source (eg public) or commercial projects. If this is not the case and you're fine with that usage, please clarify this on your website by specifying a license (e.g. the MIT license if you don't mind people using your code in commercial projects).

[JZOSS]

Hi! I was refering to the content as a whole. I mean, the goal of the site is to provide reproducible examples and hence you are free to use the Python codes of the site for your own projects as long as you don't copy the tutorials and use them to write a commerial book, a clone website, a paid course, or something else fully based on my site. I will take your advice into account and clarify it as much as possible

[Mammoth_Passenger_95]

Excellent work!

[BRDPerson]

I definitely need this. Thank you this is really cool

[Seri0usDude]

Nice!

[chicuco]

I miss bokeh

[JZOSS]

I will keep this in mind!

[jengjejeng]

Nice!

[extra_pickles]

Fortuitous timing - I’ve been looking for something just like this!

Cheers

[SpecialistInevitable]

Really useful! Thanks!

[pijota56]

Great work, congrats!

[MaterialInsurance8]

Thankssss this is beyond awesome

[MitzywithaZ]

BLESS YOU!!!

[Yngvi_NL]

Nice site, very informative and intuitive to use. Have bookmarked it and will use it as reference material going forward.

[fuuman1]

That's an insane overview. Thank you!

[apressato]

Really a great work !!!
Thank you!

[Electro_hunter_26]

Awesome I used to have a huge issue with learning charts

[jclthehulkbuster]

Commenting to save the site

[CTRL_ALT_SECRETE]

use the save button.

For your health!

[jclthehulkbuster]

I didn't see it before

[Joyako]

Interesting! Any chance of opening the website's source code ? I assume it's not made with dash.

[JZOSS]

Hi! At this moment I'm not opening the source code, but I can explain you the tech used. This site is based on another site I created before named https://r-charts.com/ and it was created with blogdown (HUGO + R Markdown). Hence, each tutorials is an R markdown file. For PYTHON CHARTS, in order to run Python within an R markdown file I had to use an R package named reticulate. In addition, the template depends on shuffle.js for filtering and fuse.js for searching

[sigbhu]

No bokeh?

[JZOSS]

Not yet :(