`charts.css.py` brings `charts.css` to Python. Online documentation and samples is available at the link below.

Last update: Sep 23, 2021

Overview

charts.css.py

charts.css.py provides a python API to convert your 2-dimension data lists into html snippet, which will be rendered into charts by CSS, when serving inside a browser.

The output of charts.css.py is not images. Consequently, charts.css.py is a pure Python package without any image library dependency. You can use charts.css.py on any platform.
The output of charts.css.py is a normal HTML table. Search engines and screen readers will be able to consume your data even when CSS rendering is unavailable.
Once the html snippet is delivered into the browser window, the rendering is done by CSS, which is typically faster than JS-heavy chart libraries.
Since the output is normal HTML, you could customize its size and position, by defining your own CSS styles.

Installation

pip install charts.css.py

Usage

Just combine the output of charts.css.py functions and the predefined CSS style <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/charts.css/dist/charts.min.css"> into your html page.

For example, the following code snippet can convert a 2-dimension list into column chart:

from charts.css import column
STYLESHEET = '<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/charts.css/dist/charts.min.css">'
chart = column(
    [
        ["Continent", "1st year", "2nd year", "3rd year", "4th year", "5th year"],
        ["Asia", 20.0, 30.0, 40.0, 50.0, 75.0],
        ["Euro", 40.0, 60.0, 75.0, 90.0, 100.0],
    ],
    headers_in_first_row=True,
    headers_in_first_column=True,
    )
# Now, variable chart contains html snippet of "<table>...</table>", and
# STYLESHEET is just a constant string of "<link href='https://.../charts.css'>".
# You can somehow insert them into the proper places of your full html page.
# Here in this sample, we take a shortcut by simply concatenating them.
open("output.html", "w").write(STYLESHEET + chart)

The output.html will be rendered in browser like this:

Advanced Usage

There are currently 4 different charts implemented: bar, column, line, area. All those methods support many parameters to further customize the chart appearance. bar() and column() also support stacking by value or stacking by percentage. All those features are demonstrated in the different samples in this document.

Lastly, this package also provides a command-line tool csv2chart. You can use it to convert csv file into an html file. For example, csv2chart sample.csv output.html. You can also run csv2chart -h to know all the parameters it supports.

Versioning

charts.css.py uses Semantic Versioning.

🐞 📊 Ladybug extension to generate 2D charts

ladybug-charts Ladybug extension to generate 2D charts. Installation pip install ladybug-charts QuickStart import ladybug_charts API Documentation Loc

3 Dec 30, 2022

GitHub English Top Charts

Help you discover excellent English projects and get rid of the interference of other spoken language.

529 Jan 2, 2023

Data-FX is an addon for Blender (2.9) that allows for the visualization of data with different charts

Data-FX Data-FX is an addon for Blender (2.9) that allows for the visualization of data with different charts Currently, there are only 2 chart option

20 Nov 21, 2022

Glue is a python project to link visualizations of scientific datasets across many files.

Glue Glue is a python project to link visualizations of scientific datasets across many files. Click on the image for a quick demo: Features Interacti

675 Dec 9, 2022

Flipper Zero documentation repo

Flipper Zero Docs Participation To fix a bug or add something new to this repository, you need to open a pull-request. Also, on every page of the site

Flipper Zero (All Repositories will be public soon)

114 Dec 30, 2022

A tool for automatically generating 3D printable STLs from freely available lidar scan data.

mini-map-maker A tool for automatically generating 3D printable STLs from freely available lidar scan data. Screenshots Tutorial To use this script, g

51 Nov 6, 2022

A Python Binder that merge 2 files with any extension by creating a new python file and compiling it to exe which runs both payloads.

Update ! ANONFILE MIGHT NOT WORK ! About A Python Binder that merge 2 files with any extension by creating a new python file and compiling it to exe w

15 Oct 12, 2022

Debugging, monitoring and visualization for Python Machine Learning and Data Science

Welcome to TensorWatch TensorWatch is a debugging and visualization tool designed for data science, deep learning and reinforcement learning from Micr

3.3k Dec 27, 2022

Python module for drawing and rendering beautiful atoms and molecules using Blender.

Batoms is a Python package for editing and rendering atoms and molecules objects using blender. A Python interface that allows for automating workflows.

1 Jul 6, 2022

Comments

charts.css.py 0.4.0
This release adds some helper and parameters to help you fine tune the chart appearance. They are especially useful when you attempt to render some csv data input with many rows.

Feature: A transpose(...) helper to flip your input data diagonally so that it swaps its x-axis and y-axis.

Feature: New parameter hide_label. It is useful when primary axis contains too many rows.

Feature: New parameter tooltip_builder which has a shape of lambda value="...", label="...": "...".

Feature: New parameter value_converter which typically will be assigned with either int or float.

Change: By default, data axes will no longer be shown. You can turn it back on by the new show_data_axes parameter.

The online documentation will be updated to demonstrate these new features.
opened by rayluo 0
Release 0.3.0
Line chart should not accept non-zero data_spacing or datasets_spacing. Now it would rightfully reject such an input.

Provide an online document/sample

Backport to Brython 3.7 and 3.8. The recommended Brython version is still its latest version, currently 3.9.
opened by rayluo 0
charts.css.py 0.1.0
The first release contains:

Basic functionality including bar, column, line and area

An experimental helper wrapper

Barely enough documentation in README.md

Also comes with a command-line tool csv2chart. I use it for my ad-hoc test. Let me know if you find it useful.
opened by rayluo 0

Releases(0.4.0)

0.4.0(Jun 27, 2021)
This release adds some helper and parameters to help you fine tune the chart appearance. They are especially useful when you attempt to render some csv data input with many rows.

Feature: A transpose(...) helper to flip your input data diagonally so that it swaps its x-axis and y-axis.

Feature: New parameter value_converter which typically will be assigned with either int or float. With its help, now you can consume data directly from csv by data = list(csv.reader(f)).

Feature: New parameter hide_label. It is useful when primary axis contains too many rows.

Feature: New parameter tooltip_builder which has a shape of lambda value="...", label="...": "...".

Change: By default, data axes will no longer be shown. You can turn it back on by the new show_data_axes parameter.

The online documentation ~will be~ has been updated to demonstrate these new features.
Source code(tar.gz)
Source code(zip)
charts.css.py-brython.js(8.11 KB)
0.3.0(May 23, 2021)
Line chart should not accept non-zero data_spacing or datasets_spacing. Now it would rightfully reject such an input.

Provide an online document/sample

Backport to Brython 3.7 and 3.8. The recommended Brython version is still its latest version, currently 3.9.

Also hosted as a Brython package which can be used by <script src="https://github.com/rayluo/charts.css.py/releases/download/0.3.0/charts.css.py-brython.js"></script>. Requires Brython 3.7.5 or above.

Source code(tar.gz)
Source code(zip)
charts.css.py-brython.js(7.20 KB)
0.2.0(May 17, 2021)
Remove typing annotation to reduce overhead on some certain platforms

Also move away from using namespace package

Source code(tar.gz)
Source code(zip)
charts.css.py-brython.js(7.15 KB)
0.1.0(May 14, 2021)
The first release contains:

Basic functionality including bar, column, line and area

An experimental helper wrapper

Barely enough documentation in README.md

Also comes with a command-line tool csv2chart. I use it for my ad-hoc test. Let me know if you find it useful.

Source code(tar.gz)
Source code(zip)

Owner

Ray Luo

GitHub Repository https://rayluo.github.io/charts.css.py/

BGraph is a tool designed to generate dependencies graphs from Android.bp soong files.

BGraph BGraph is a tool designed to generate dependencies graphs from Android.bp soong files. Overview BGraph (for Build-Graphs) is a project aimed at

10 Dec 19, 2022

A python script to visualise explain plans as a graph using graphviz

README Needs to be improved Prerequisites Need to have graphiz installed on the machine. Refer to https://graphviz.readthedocs.io/en/stable/manual.htm

1 Sep 28, 2021

A simple project on Data Visualization for CSCI-40 course.

Simple-Data-Visualization A simple project on Data Visualization for CSCI-40 course - the instructions can be found here SAT results in New York in 20

8 Oct 27, 2021

Python support for Godot 🐍🐍🐍

Godot Python, because you want Python on Godot ! The goal of this project is to provide Python language support as a scripting module for the Godot ga

1.4k Jan 04, 2023

Scientific Visualization: Python + Matplotlib

An open access book on scientific visualization using python and matplotlib

8.6k Dec 31, 2022

Implementation of SOMs (Self-Organizing Maps) with neighborhood-based map topologies.

py-self-organizing-maps Simple implementation of self-organizing maps (SOMs) A SOM is an unsupervised method for learning a mapping from a discrete ne

6 Nov 22, 2022

a python function to plot a geopandas dataframe

Pretty GeoDataFrame A minimum python function (~60 lines) to draw pretty geodataframe. Based on matplotlib, shapely, descartes. Installation just use

27 Dec 05, 2022

eoplatform is a Python package that aims to simplify Remote Sensing Earth Observation by providing actionable information on a wide swath of RS platforms and provide a simple API for downloading and visualizing RS imagery

An Earth Observation Platform Earth Observation made easy. Report Bug | Request Feature About eoplatform is a Python package that aims to simplify Rem

4 Aug 11, 2022

`charts.css.py` brings `charts.css` to Python. Online documentation and samples is available at the link below.

Related tags

Overview

charts.css.py

Installation

Usage

Advanced Usage

Versioning

You might also like...

🐞 📊 Ladybug extension to generate 2D charts

GitHub English Top Charts

Data-FX is an addon for Blender (2.9) that allows for the visualization of data with different charts

Glue is a python project to link visualizations of scientific datasets across many files.

Flipper Zero documentation repo

A tool for automatically generating 3D printable STLs from freely available lidar scan data.

A Python Binder that merge 2 files with any extension by creating a new python file and compiling it to exe which runs both payloads.

Debugging, monitoring and visualization for Python Machine Learning and Data Science

Python module for drawing and rendering beautiful atoms and molecules using Blender.

Comments

charts.css.py 0.4.0

Release 0.3.0

charts.css.py 0.1.0

Releases(0.4.0)

0.4.0(Jun 27, 2021)

0.3.0(May 23, 2021)

0.2.0(May 17, 2021)

0.1.0(May 14, 2021)

Owner

Ray Luo

BGraph is a tool designed to generate dependencies graphs from Android.bp soong files.

A python script to visualise explain plans as a graph using graphviz

A simple project on Data Visualization for CSCI-40 course.

Python support for Godot 🐍🐍🐍

Scientific Visualization: Python + Matplotlib

Implementation of SOMs (Self-Organizing Maps) with neighborhood-based map topologies.

a python function to plot a geopandas dataframe

eoplatform is a Python package that aims to simplify Remote Sensing Earth Observation by providing actionable information on a wide swath of RS platforms and provide a simple API for downloading and visualizing RS imagery

Visualizations for machine learning datasets

simple tool to paint axis x and y

Boltzmann visualization - Visualize the Boltzmann distribution for simple quantum models of molecular motion

Rubrix is a free and open-source tool for exploring and iterating on data for artificial intelligence projects.

NumPy and Pandas interface to Big Data

Customizing Visual Styles in Plotly

A simple Monte Carlo simulation using Python and matplotlib library

阴阳师后台全平台（使用网易 MuMu 模拟器）辅助。支持御魂，觉醒，御灵，结界突破，秘闻副本，地域鬼王。

Decision Border Visualizer for Classification Algorithms

Visualise Ansible execution time across playbooks, tasks, and hosts.

Sentiment Analysis application created with Python and Dash, hosted at socialsentiment.net

Displaying plot of death rates from past years in Poland. Data source from these years is in readme