Convert Vega-Lite chart specifications to SVG, PNG, or Vega

These details have not been verified by PyPI

Project links

Project description

Overview

vl-convert-python is a dependency-free Python package for converting Vega-Lite chart specifications into static images (SVG or PNG) or Vega chart specifications.

Since an Altair chart can generate Vega-Lite, this package can be used to easily create static images from Altair charts.

Try it out on Binder!

Installation

vl-convert-python can be installed using pip with

$ pip install vl-convert-python

Usage

The vl-convert-python package provides a series of conversion functions under the vl_convert module.

Convert Vega-Lite to SVG, PNG, and Vega

The vegalite_to_svg and vegalite_to_png functions can be used to convert Vega-Lite specifications to static SVG and PNG images respectively. The vegalite_to_vega function can be used to convert a Vega-Lite specification to a Vega specification.

import vl_convert as vlc
import json

vl_spec = r"""
{
  "$schema": "https://vega.github.io/schema/vega-lite/v5.json",
  "data": {"url": "https://raw.githubusercontent.com/vega/vega-datasets/next/data/movies.json"},
  "mark": "circle",
  "encoding": {
    "x": {
      "bin": {"maxbins": 10},
      "field": "IMDB Rating"
    },
    "y": {
      "bin": {"maxbins": 10},
      "field": "Rotten Tomatoes Rating"
    },
    "size": {"aggregate": "count"}
  }
}
"""

# Create SVG image string and then write to a file
svg_str = vlc.vegalite_to_svg(vl_spec=vl_spec)
with open("chart.svg", "wt") as f:
    f.write(svg_str)

# Create PNG image data and then write to a file
png_data = vlc.vegalite_to_png(vl_spec=vl_spec, scale=2)
with open("chart.png", "wb") as f:
    f.write(png_data)

# Create low-level Vega representation of chart and write to file
vg_spec = vlc.vegalite_to_vega(vl_spec)
with open("chart.vg.json", "wt") as f:
    json.dump(vg_spec, f)

Convert Altair Chart to SVG, PNG, and Vega

The Altair visualization library provides a Pythonic API for generating Vega-Lite visualizations. As such, vl-convert-python can be used to convert Altair charts to PNG, SVG, or Vega. The vegalite_* functions support an optional vl_version argument that can be used to specify the particular version of the Vega-Lite JavaScript library to use. Version 4.2 of the Altair package uses Vega-Lite version 4.17, so this is the version that should be specified when converting Altair charts.

import altair as alt
from vega_datasets import data
import vl_convert as vlc
import json

source = data.barley()

chart = alt.Chart(source).mark_bar().encode(
    x='sum(yield)',
    y='variety',
    color='site'
)

# Create SVG image string and then write to a file
svg_str = vlc.vegalite_to_svg(chart.to_json(), vl_version="4.17")
with open("altair_chart.svg", "wt") as f:
    f.write(svg_str)

# Create PNG image data and then write to a file
png_data = vlc.vegalite_to_png(chart.to_json(), vl_version="4.17", scale=2)
with open("altair_chart.png", "wb") as f:
    f.write(png_data)

# Create low-level Vega representation of chart and write to file
vg_spec = vlc.vegalite_to_vega(chart.to_json(), vl_version="4.17")
with open("altair_chart.vg.json", "wt") as f:
    json.dump(vg_spec, f)

How it works

This crate uses PyO3 to wrap the vl-convert-rs Rust crate as a Python library. The vl-convert-rs crate is a self-contained Rust library for converting Vega-Lite visualization specifications into various formats. The conversions are performed using the Vega-Lite and Vega JavaScript libraries running in a v8 JavaScript runtime provided by the deno_runtime crate. Font metrics and SVG-to-PNG conversions are provided by the resvg crate.

Of note, vl-convert-python is fully self-contained and has no dependency on an external web browser or Node.js runtime.

Development setup

Create development conda environment

$ conda create -n vl-convert-dev -c conda-forge python=3.10 deno maturin altair pytest black black-jupyter

Activate environment

$ conda activate vl-convert-dev

Change to Python package directory

$ cd vl-convert-python

Build Rust python package with maturin in develop mode

$ maturin develop --release

Run tests

$ pytest tests

Project details

These details have not been verified by PyPI

Project links

Release history Release notifications | RSS feed

1.7.0

Oct 5, 2024

1.6.1

Aug 24, 2024

1.6.0

Aug 5, 2024

1.5.1

Jul 27, 2024

1.5.0

Jun 20, 2024

1.4.0

Apr 15, 2024

1.3.0

Mar 13, 2024

1.2.4

Feb 27, 2024

1.2.3

Jan 27, 2024

1.2.2

Jan 23, 2024

1.2.1

Jan 18, 2024

1.2.0

Dec 2, 2023

1.1.0

Nov 11, 2023

1.0.1

Nov 5, 2023

1.0.1rc1 pre-release

Nov 3, 2023

1.0.0

Oct 28, 2023

0.14.0

Oct 3, 2023

0.13.1

Aug 31, 2023

0.13.0

Aug 25, 2023

0.12.0

Aug 12, 2023

0.11.2

Jul 8, 2023

0.11.1

Jun 28, 2023

0.11.0

Jun 25, 2023

0.10.3

Jun 17, 2023

0.10.2

May 26, 2023

0.10.1

May 25, 2023

0.10.0

May 16, 2023

0.9.0

May 2, 2023

0.8.1

Apr 17, 2023

0.8.0

Apr 15, 2023

0.7.0

Jan 4, 2023

This version

0.6.0

Dec 23, 2022

0.5.0

Oct 29, 2022

0.4.0

Oct 21, 2022

0.3.2

Oct 19, 2022

0.3.1

Oct 19, 2022

0.3.0

Oct 17, 2022

0.2.0

Oct 16, 2022

0.1.0

Oct 10, 2022

0.0.1

Oct 8, 2022

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

vl_convert_python-0.6.0.tar.gz (3.1 MB view details)

Uploaded Dec 23, 2022 Source

Built Distributions

vl_convert_python-0.6.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (21.8 MB view details)

Uploaded Dec 23, 2022 CPython 3.11 manylinux: glibc 2.17+ x86-64

vl_convert_python-0.6.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (20.9 MB view details)

Uploaded Dec 23, 2022 CPython 3.11 manylinux: glibc 2.17+ ARM64

vl_convert_python-0.6.0-cp311-cp311-macosx_11_0_arm64.whl (19.3 MB view details)

Uploaded Dec 23, 2022 CPython 3.11 macOS 11.0+ ARM64

vl_convert_python-0.6.0-cp311-cp311-macosx_10_7_x86_64.whl (20.4 MB view details)

Uploaded Dec 23, 2022 CPython 3.11 macOS 10.7+ x86-64

vl_convert_python-0.6.0-cp310-none-win_amd64.whl (20.8 MB view details)

Uploaded Dec 23, 2022 CPython 3.10 Windows x86-64

vl_convert_python-0.6.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (21.8 MB view details)

Uploaded Dec 23, 2022 CPython 3.10 manylinux: glibc 2.17+ x86-64

vl_convert_python-0.6.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (20.9 MB view details)

Uploaded Dec 23, 2022 CPython 3.10 manylinux: glibc 2.17+ ARM64

vl_convert_python-0.6.0-cp310-cp310-macosx_11_0_arm64.whl (19.3 MB view details)

Uploaded Dec 23, 2022 CPython 3.10 macOS 11.0+ ARM64

vl_convert_python-0.6.0-cp310-cp310-macosx_10_7_x86_64.whl (20.4 MB view details)

Uploaded Dec 23, 2022 CPython 3.10 macOS 10.7+ x86-64

vl_convert_python-0.6.0-cp39-none-win_amd64.whl (20.8 MB view details)

Uploaded Dec 23, 2022 CPython 3.9 Windows x86-64

vl_convert_python-0.6.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (21.8 MB view details)

Uploaded Dec 23, 2022 CPython 3.9 manylinux: glibc 2.17+ x86-64

vl_convert_python-0.6.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (20.9 MB view details)

Uploaded Dec 23, 2022 CPython 3.9 manylinux: glibc 2.17+ ARM64

vl_convert_python-0.6.0-cp39-cp39-macosx_11_0_arm64.whl (19.3 MB view details)

Uploaded Dec 23, 2022 CPython 3.9 macOS 11.0+ ARM64

vl_convert_python-0.6.0-cp39-cp39-macosx_10_7_x86_64.whl (20.4 MB view details)

Uploaded Dec 23, 2022 CPython 3.9 macOS 10.7+ x86-64

vl_convert_python-0.6.0-cp38-none-win_amd64.whl (20.8 MB view details)

Uploaded Dec 23, 2022 CPython 3.8 Windows x86-64

vl_convert_python-0.6.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (21.8 MB view details)

Uploaded Dec 23, 2022 CPython 3.8 manylinux: glibc 2.17+ x86-64

vl_convert_python-0.6.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (20.9 MB view details)

Uploaded Dec 23, 2022 CPython 3.8 manylinux: glibc 2.17+ ARM64

vl_convert_python-0.6.0-cp38-cp38-macosx_11_0_arm64.whl (19.3 MB view details)

Uploaded Dec 23, 2022 CPython 3.8 macOS 11.0+ ARM64

vl_convert_python-0.6.0-cp38-cp38-macosx_10_7_x86_64.whl (20.4 MB view details)

Uploaded Dec 23, 2022 CPython 3.8 macOS 10.7+ x86-64

vl_convert_python-0.6.0-cp37-none-win_amd64.whl (20.8 MB view details)

Uploaded Dec 23, 2022 CPython 3.7 Windows x86-64

vl_convert_python-0.6.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (21.8 MB view details)

Uploaded Dec 23, 2022 CPython 3.7m manylinux: glibc 2.17+ x86-64

vl_convert_python-0.6.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (20.9 MB view details)

Uploaded Dec 23, 2022 CPython 3.7m manylinux: glibc 2.17+ ARM64

vl_convert_python-0.6.0-cp37-cp37m-macosx_11_0_arm64.whl (19.3 MB view details)

Uploaded Dec 23, 2022 CPython 3.7m macOS 11.0+ ARM64

vl_convert_python-0.6.0-cp37-cp37m-macosx_10_7_x86_64.whl (20.4 MB view details)

Uploaded Dec 23, 2022 CPython 3.7m macOS 10.7+ x86-64

File details

Details for the file vl_convert_python-0.6.0.tar.gz.

File metadata

Download URL: vl_convert_python-0.6.0.tar.gz
Upload date: Dec 23, 2022
Size: 3.1 MB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: maturin/0.14.7

File hashes

Hashes for vl_convert_python-0.6.0.tar.gz
Algorithm	Hash digest
SHA256	`f1c7cb9b9071712519c19b26e0815709b782d97ae3cb6953e240a91b708a01e1`
MD5	`f17cb5adb6001b31e90060f8aca69975`
BLAKE2b-256	`f885d672a6d2bb39f835fc3189a92334bc206e8cac93cf40418bdc8b4a112a76`

Algorithm	Hash digest
SHA256	`7318990fd3201901290994bd82215be5feb62decbf4950f602a9ae1b4de16e93`
MD5	`dc05464b049ab210dfbc717082c6e95e`
BLAKE2b-256	`759af735b165247df505ad979ea4fc3c5a490823940975dfe0fe298aec79938f`

Algorithm	Hash digest
SHA256	`b357872ec3e8a2b6a2185fe1cdb73830f139ca80ee3e90e5395f9ba03c58467c`
MD5	`349d17be4f2adc3f31c644358e110fa4`
BLAKE2b-256	`5b36f65f8418d7f541e3f2be71f6aaf798cf7822f488477824a8340815eea06c`

Algorithm	Hash digest
SHA256	`858f79525552cbea160f833eccd70e10a8424e60257573bd471835c5f94ef89b`
MD5	`177c2b538c28069bf12fbedae5fe36b0`
BLAKE2b-256	`0e9491bbdad4041d047ab39ba131ebd06acbef10b32c32e9a748e5da4183f6c1`

Algorithm	Hash digest
SHA256	`60bd7283158f60563cbe10901a2a815e9278ddad6b3d943a48f45facdf67778c`
MD5	`446d923ed381ecbc58bfe7a42350c12a`
BLAKE2b-256	`89473534029c0bf0f71850bb11c576239fee8b745d57b92076644a4f99266cea`

Algorithm	Hash digest
SHA256	`d889edae3fd326ba54703170cddd183cdb38bd85309054ef35a662cbd7c8caa4`
MD5	`b5afbe5c88811588f4bae805f61b5453`
BLAKE2b-256	`8696a4dbfc3ceeb5a7437a11d2b72c24dbe0389f8e0b10af718dc24636b9f795`

Algorithm	Hash digest
SHA256	`fbca24b88d6675ed3999108bee90785dbd2f12dd5c5b8693f82c1f9250e8dab1`
MD5	`ee48ebed8ca9613e24efb20d16926efb`
BLAKE2b-256	`22fbc8eb4203b48c196ce0de5cdb33415e4ebf01e9a22cc0c33d26f27ea8d5fc`

Algorithm	Hash digest
SHA256	`136c90ac56c9ef70cd643e06d4862e38ae4a925047c9ecf4dac3a34ca1dcde78`
MD5	`3d7a17d6ef9d5d579ea31d664826d821`
BLAKE2b-256	`0cf8f56c4add2d3530b54df146bc624b88de8a700324a5857ae40124d04d52bf`

Algorithm	Hash digest
SHA256	`315bf2c8105afdcabae57b70fdd94a12ab07451d1db9d6b1a7228b088a7585ae`
MD5	`8a15bef303cad34f1e0abfd0de0f0a7b`
BLAKE2b-256	`2eb1d6f0321b04cc5549e08e9ed9c35b0a2ebaf0382af2b8732895cd05228913`

Algorithm	Hash digest
SHA256	`a174daa001631c803cba6285243e8afb98045d92d029d90ed9564b6f05b7e292`
MD5	`9c276a96310c2b4360a0fdedf6b47e3a`
BLAKE2b-256	`8a8b30ab64e6b641e9587fa0fa7e39d67a35ecba4f74c9618e897e2e650f8f7e`

Algorithm	Hash digest
SHA256	`2a2f18779997c632d27b10b54adbae924e9eb4313e32c1716d1d9d341ac99e4a`
MD5	`19115d011b1f108acf551994a97ed860`
BLAKE2b-256	`972f9ca31963cc5e040d722725ee524d91c0c70fb190dbc4f4282ed3bd02ad04`

Algorithm	Hash digest
SHA256	`ed6dfa91c69828f62f2b6a6c9c585963f4d73fdb13a85e06bc2dafcd73fc4f5d`
MD5	`1c7a8056bb0b22f5c3b27b44cfde6f66`
BLAKE2b-256	`348ae987d5dc3cabd303acb07c07391eee9f70fa4ec4577de4c325e54e72acb6`

Algorithm	Hash digest
SHA256	`2280ec7975f25a8e7e02a9182ccee17f1d5412e8688ca1a5e0037d5e7ef8bcf5`
MD5	`fa2657295e088a29fe59190aef32fb5c`
BLAKE2b-256	`6bdcd302e16b8037d20edeada2aec9bbaa6170d692d457519b2b935a693bd06b`

Algorithm	Hash digest
SHA256	`8b46c8a0880c5e9c746f9c0ab6d1a63cc0e380d9c738a592e2260669d39fad26`
MD5	`1fee32c3f1ffb1eb0ec65ebd9ab1d28f`
BLAKE2b-256	`0b7f733e76a7c68b7b324dbafd012006deaca9cc614b0dac12a3ca07117043a6`

Algorithm	Hash digest
SHA256	`4da9f91556a4869644685a341051aeee923e038f4997bc63cae51556f8b03b16`
MD5	`eac40cf452ff09fbbf6ea3279f071f4d`
BLAKE2b-256	`14f761149667f5061aa5bd25123a7ffb18386ca7a0d248bcdc007d84501f3707`

Algorithm	Hash digest
SHA256	`f419d66e10b9a510ef0cba6fcb08646ff79e3712641994816d0f501f6fcc7a28`
MD5	`cb0672663f190168af618aea8149eba7`
BLAKE2b-256	`6d983b65429086b40924bf845a2078ccf49c0205953440c3c9ef8bff8874bdc9`

Algorithm	Hash digest
SHA256	`791cf3bd141516085ff870f15a30263283f9c39ec62c9e6c3a998ca4ff17c1c3`
MD5	`f9620393ab376e6a8f1e75f412b33905`
BLAKE2b-256	`d2fb4040349d09137c99a34bd26cfd59caf6406cb89e5dba74c739ed7d913165`

Algorithm	Hash digest
SHA256	`358ae5a18fad63d64eb47e3572981d2f0423857931aad94deb0c9b94556d82b8`
MD5	`cb9d6d895e73dd257542962d2b80ebe6`
BLAKE2b-256	`24d0d0b70475dedbf98245efdb4b622b9af75c9198225b2265f3b83a770a75da`

Algorithm	Hash digest
SHA256	`3f2fd4f4cecc37b838309e14080c4294840a4a0b4eb53a6817e758cb74ec8b08`
MD5	`e4b298212c7ad2e8e41485bce176771b`
BLAKE2b-256	`272560fa8445cc74cda93e82d32d09772f50df3cd629c3a15d31fe6c5947c042`

Algorithm	Hash digest
SHA256	`71e869f226199895940dfc67db7f6d7c916d1553f7fe00a73f101463a31d3954`
MD5	`0122112e5ed4ab1c87482e532a6f4ceb`
BLAKE2b-256	`f21f2f9f7d068ba2a4f2ebd9c05cdf99d18da42af23beef3159921a4119c0df5`

Algorithm	Hash digest
SHA256	`15ed6ae8383ca0156c615997eb94b712582cdd3d083ad370c08d16b9b4b602fe`
MD5	`82f6bdc7a971f21bbe7f0b0dcf02f69b`
BLAKE2b-256	`d48bbe55ab54853954e2e0a4e3d3946b6ec63a182353a1fbcc20dddf1f952006`

vl-convert-python 0.6.0

Navigation

Verified details

Maintainers

Unverified details

Project links

Meta

Classifiers

Project description

Overview

Installation

Usage

Convert Vega-Lite to SVG, PNG, and Vega

Convert Altair Chart to SVG, PNG, and Vega

How it works

Development setup

Project details

Verified details

Maintainers

Unverified details

Project links

Meta

Classifiers

Release history Release notifications | RSS feed

Download files

Source Distribution

Built Distributions

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

Algorithm	Hash digest
SHA256	`337e1312e513094f6b8a2f040e719cd3ec1fcc7d067aabbcfd1040b50b48fbba`
MD5	`4a6be539b3c0555bb1ff22ee78a68171`
BLAKE2b-256	`6a7d92f8166905397b96a122b5cb8f2efce1afb59059c95c09140e2299ea3495`

Algorithm	Hash digest
SHA256	`8430cb2f268582743d026743797aeba9bea93be15a9405589b38678d8c4b81b2`
MD5	`a03bf5deb5f9cc65b96f4df9a2e9d6c9`
BLAKE2b-256	`61b9fab31b2c6d1c16376e9477ab9e7bd9ad8fb1a9c5efb314b570cf18b8e9ff`

Algorithm	Hash digest
SHA256	`40c8a8d2c34840370f79c12f2b5a957b190f09347c7740664cbd7a1cfe224869`
MD5	`3531df50f3f6a21384230d72b1022914`
BLAKE2b-256	`dec9413f888698e2f5543818bb3a7efd4f4d0b09bae3683aa9f15b13dd0f0967`

Algorithm	Hash digest
SHA256	`8ea126784e2c35465aa7aecc6869dd9ecf1afb2276e8a3cf994b8a395caa66e0`
MD5	`3f0fe0ebab79197e29e83c98d591ceb3`
BLAKE2b-256	`34e3b01c127625513b4aa61f6676ac4263d2adcb9234f7442b815650c49cf47b`