`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/
100 Days of Code The Complete Python Pro Bootcamp for 2022

100-Day-With-Python 100 Days of Code - The Complete Python Pro Bootcamp for 2022. In this course, I spend with python language over 100 days, and I up

Rajdip Das 8 Jun 22, 2022
Insert SVGs into matplotlib

Insert SVGs into matplotlib

Andrew White 35 Dec 29, 2022
A Simple Flask-Plotly Example for NTU 110-1 DSSI Class

A Simple Flask-Plotly Example for NTU 110-1 DSSI Class Live Demo Prerequisites We will use Flask and Ploty to build a Flask application. If you haven'

Ting Ni Wu 1 Dec 11, 2021
Smarthome Dashboard with Grafana & InfluxDB

Smarthome Dashboard with Grafana & InfluxDB This is a complete overhaul of my Raspberry Dashboard done with Flask. I switched from sqlite to InfluxDB

6 Oct 20, 2022
Functions for easily making publication-quality figures with matplotlib.

Data-viz utils 📈 Functions for data visualization in matplotlib 📚 API Can be installed using pip install dvu and then imported with import dvu. You

Chandan Singh 16 Sep 15, 2022
Create SVG drawings from vector geodata files (SHP, geojson, etc).

SVGIS Create SVG drawings from vector geodata files (SHP, geojson, etc). SVGIS is great for: creating small multiples, combining lots of datasets in a

Neil Freeman 78 Dec 09, 2022
Fast 1D and 2D histogram functions in Python

About Sometimes you just want to compute simple 1D or 2D histograms with regular bins. Fast. No nonsense. Numpy's histogram functions are versatile, a

Thomas Robitaille 237 Dec 18, 2022
This tool is designed to help administrators get an overview of their Active Directory structure.

This tool is designed to help administrators get an overview of their Active Directory structure. In the group view you can see all elements of an AD (OU, USER, GROUPS, COMPUTERS etc.). In the user v

deexno 2 Oct 30, 2022
Here I plotted data for the average test scores across schools and class sizes across school districts.

HW_02 Here I plotted data for the average test scores across schools and class sizes across school districts. Average Test Score by Race This graph re

7 Oct 27, 2021
Sentiment Analysis application created with Python and Dash, hosted at socialsentiment.net

Social Sentiment Dash Application Live-streaming sentiment analysis application created with Python and Dash, hosted at SocialSentiment.net. Dash Tuto

Harrison 456 Dec 25, 2022
Tweets your monthly GitHub Contributions as Wordle grid

Tweets your monthly GitHub Contributions as Wordle grid

Venu Vardhan Reddy Tekula 5 Feb 16, 2022
An(other) implementation of JSON Schema for Python

jsonschema jsonschema is an implementation of JSON Schema for Python. from jsonschema import validate # A sample schema, like what we'd get f

Julian Berman 4k Jan 04, 2023
Complex heatmaps are efficient to visualize associations between different sources of data sets and reveal potential patterns.

Make Complex Heatmaps Complex heatmaps are efficient to visualize associations between different sources of data sets and reveal potential patterns. H

Zuguang Gu 973 Jan 09, 2023
daily report of @arkinvest ETF activity + data collection

ark_invest daily weekday report of @arkinvest ETF activity + data collection This script was created to: Extract and save daily csv's from ARKInvest's

T D 27 Jan 02, 2023
Package managers visualization

Software Galaxies This repository combines visualizations of major software package managers. All visualizations are available here: http://anvaka.git

Andrei Kashcha 1.4k Dec 22, 2022
Simple, realtime visualization of neural network training performance.

pastalog Simple, realtime visualization server for training neural networks. Use with Lasagne, Keras, Tensorflow, Torch, Theano, and basically everyth

Rewon Child 416 Dec 29, 2022
The Python ensemble sampling toolkit for affine-invariant MCMC

emcee The Python ensemble sampling toolkit for affine-invariant MCMC emcee is a stable, well tested Python implementation of the affine-invariant ense

Dan Foreman-Mackey 1.3k Jan 04, 2023
A filler visualizer built using python

filler-visualizer 42 filler のログをビジュアライズしてスポーツさながら楽しむことができます！ Usage （標準入力でvisualizer.pyに渡せばALL OK） 1. 既にあるログをビジュアライズする $ ./filler_vm -t 3 -p1 john_fill

Takumi Hara 1 Nov 04, 2021
🐍PyNode Next allows you to easily create beautiful graph visualisations and animations

PyNode Next A complete rewrite of PyNode for the modern era. Up to five times faster than the original PyNode. PyNode Next allows you to easily create

ehne 3 Feb 12, 2022
A Python function that makes flower plots.

Flower plot A Python 3.9+ function that makes flower plots. Installation This package requires at least Python 3.9. pip install

Thomas Roder 4 Jun 12, 2022