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

Related tags

Data Visualizationvisualizationcsspythonchartchartsdata-visualization
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:

Sample output

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.

You might also like...
🐞 📊 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

Ladybug Tools 3 Dec 30, 2022
GitHub English Top Charts

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

kon9chunkit 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 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

Landon Ferguson 20 Nov 21, 2022
Glue is a python project to link visualizations of scientific datasets across many files.
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

null 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.
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

Mike Abbott 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.
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

Vesper 15 Oct 12, 2022
Debugging, monitoring and visualization for Python Machine Learning and Data Science
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

Microsoft 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.

Xing Wang 1 Jul 6, 2022
Comments
  • charts.css.py 0.4.0

    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

    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

    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)

  • 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
Ray Luo
GitHub Repository https://rayluo.github.io/charts.css.py/
PyPassword is a simple follow up to PyPassphrase

PyPassword PyPassword is a simple follow up to PyPassphrase. After finishing that project it occured to me that while some may wish to use that option

Scotty 2 Jan 22, 2022
Project coded in Python using Pandas to look at changes in chase% for batters facing a pitcher first time through the order vs. thrid time

Project coded in Python using Pandas to look at changes in chase% for batters facing a pitcher first time through the order vs. thrid time

Jason Kraynak 1 Jan 07, 2022
🧇 Make Waffle Charts in Python.

PyWaffle PyWaffle is an open source, MIT-licensed Python package for plotting waffle charts. It provides a Figure constructor class Waffle, which coul

Guangyang Li 528 Jan 02, 2023
PanGraphViewer -- show panenome graph in an easy way

PanGraphViewer -- show panenome graph in an easy way Table of Contents Versions and dependences Desktop-based panGraphViewer Library installation for

16 Dec 17, 2022
A way of looking at COVID-19 data that I haven't seen before.

Visualizing Omicron: COVID-19 Deaths vs. Cases Click here for other countries. Data is from Our World in Data/Johns Hopkins University. About this pro

1 Jan 10, 2022
GDSHelpers is an open-source package for automatized pattern generation for nano-structuring.

GDSHelpers GDSHelpers in an open-source package for automatized pattern generation for nano-structuring. It allows exporting the pattern in the GDSII-

Helge Gehring 76 Dec 16, 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
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

AutoViz Automatically Visualize any dataset, any size with a single line of code. AutoViz performs automatic visualization of any dataset with one lin

AutoViz and Auto_ViML 1k Jan 02, 2023
Visualizations of some specific solutions of different differential equations.

Diff_sims Visualizations of some specific solutions of different differential equations. Heat Equation in 1 Dimension (A very beautiful and elegant ex

2 Jan 13, 2022
Curvipy - The Python package for visualizing curves and linear transformations in a super simple way

Curvipy - The Python package for visualizing curves and linear transformations in a super simple way

Dylan Tintenfich 55 Dec 28, 2022
Generate the report for OCULTest.

Sample report generated in this function Usage example from utils.gen_report import generate_report if __name__ == '__main__': # def generate_rep

Philip Guo 1 Mar 10, 2022
The interactive graphing library for Python (includes Plotly Express) :sparkles:

plotly.py Latest Release User forum PyPI Downloads License Data Science Workspaces Our recommended IDE for Plotly’s Python graphing library is Dash En

Plotly 12.7k Jan 05, 2023
CONTRIBUTIONS ONLY: Voluptuous, despite the name, is a Python data validation library.

CONTRIBUTIONS ONLY What does this mean? I do not have time to fix issues myself. The only way fixes or new features will be added is by people submitt

Alec Thomas 1.8k Dec 31, 2022
Resources for teaching & learning practical data visualization with python.

Practical Data Visualization with Python Overview All views expressed on this site are my own and do not represent the opinions of any entity with whi

Paul Jeffries 98 Sep 24, 2022
Visualise Ansible execution time across playbooks, tasks, and hosts.

ansible-trace Visualise where time is spent in your Ansible playbooks: what tasks, and what hosts, so you can find where to optimise and decrease play

Mark Hansen 81 Dec 15, 2022
Write python locally, execute SQL in your data warehouse

RasgoQL Write python locally, execute SQL in your data warehouse ≪ Read the Docs · Join Our Slack » RasgoQL is a Python package that enables you to ea

Rasgo 265 Nov 21, 2022
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

Hugo Matousek 8 Oct 27, 2021
This GitHub Repository contains Data Analysis projects that I have completed so far! While most of th project are focused on Data Analysis, some of them are also put here to show off other skills that I have learned.

Welcome to my Data Analysis projects page! This GitHub Repository contains Data Analysis projects that I have completed so far! While most of th proje

Kyle Dini 1 Jan 31, 2022
An easy to use burndown chart generator for GitHub Project Boards.

Burndown Chart for GitHub Projects An easy to use burndown chart generator for GitHub Project Boards. Table of Contents Features Installation Assumpti

Joseph Hale 15 Dec 28, 2022
Data visualization using matplotlib

Data visualization using matplotlib project instructions Top 5 Most Common Coffee Origins In this visualization I used data from Ankur Chavda on Kaggl

13 Oct 27, 2021