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Overview

Plot Serializer (PloSe) is a tool for converting scientific diagrams into (FAIR) data.

Many scientific publications are based on data. To fight the reproducibility crisis in science, many researchers are adopting the practice of sharing data. This is more and more often required by journals, conferences and funding bodies.

The PloSe team considers scientific diagrams an entry point to the research objects behind a publication. Typically, the data depicted in a diagram within a scientific publication is of great interest to the reader. The diagrams sometimes contain experimental or simulation results, in other cases secondary, processed data. PloSe enables to quickly extract the data from the diagram, describe it with customizable metadata (which can, for example, link to the primary dataset) and share it with the scientific community. Hence, PloSe can assist you in making your data FAIR!

PloSe currently allows for serialization from matplotlib to JSON and RO-Crate. It is still under development, limited to certain plot types.

PloSe also allows for deserialization of JSON-ized plots into matplotlib.

[[TOC]]

Installation

Install PlotSerializer by running

pip install plot-serializer

Documentation

View Plot Serializer's documentation on Read the Docs

License

View used License on Show License

Citing

Plot Serializer comes with a citation file: CITATION.cff. Find out how to use it here.
Please cite: Leštáková, M., & Xia, N. (2024, September 18). Plot Serializer. NFDI4ing Conference 2024, virtual. Zenodo. https://doi.org/10.5281/zenodo.13785916

Acknowledgements

The Authors would like to thank the Federal Government and the Heads of Government of the Länder, as well as the Joint Science Conference (GWK), for their funding and support within the framework of the NFDI4Ing consortium. Funded by the German Research Foundation (DFG) - project number 442146713.

Many thanks to the contributors listed in CONTRIBUTORS.md.

Contributing

An introduction and rules for contributing can be found in CONTRIBUTING.md.

About

Plot Serializer allows to generate a json file from widely used plotting packages (matplotlib), including the possibility to include metadata. It also allows to recreate the plot using a json file. Mirrored from https://git.rwth-aachen.de/rdm-tools/plot-serializer

plot-serializer.readthedocs.io/en/latest/

Topics

matplotlibnfdinfdi4ingplottingrdmrocrate

Resources

Readme
MIT license

Contributing

Contributing
Activity
Custom properties

Stars

1 star

Watchers

0 watching

Forks

0 forks
Report repository

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
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}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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DOIDOI
Overview
Plot Serializer (PloSe) is a tool for converting scientific diagrams into (FAIR) data.
Many scientific publications are based on data. To fight the reproducibility crisis in science,
many researchers are adopting the practice of sharing data. This is more and more often required
by journals, conferences and funding bodies.
The PloSe team considers scientific diagrams an entry point to the research objects behind a publication.
Typically, the data depicted in a diagram within a scientific publication is of great interest to the reader.
The diagrams sometimes contain experimental or simulation results, in other cases secondary, processed data.
PloSe enables to quickly extract the data from the diagram, describe it with customizable metadata
(which can, for example, link to the primary dataset) and share it with the scientific community.
Hence, PloSe can assist you in making your data FAIR!
PloSe currently allows for serialization from matplotlib to JSON and RO-Crate. It is still under development, limited to certain
plot types.
PloSe also allows for deserialization of JSON-ized plots into matplotlib.
[[TOC]]
Installation
Install PlotSerializer by running
pip install plot-serializer
Documentation
View Plot Serializer's documentation on Read the Docs
License
View used License on Show License
Citing
Plot Serializer comes with a citation file: CITATION.cff.
Find out how to use it here.


Please cite:
Leštáková, M., & Xia, N. (2024, September 18). Plot Serializer. NFDI4ing Conference 2024, virtual. Zenodo. https://doi.org/10.5281/zenodo.13785916
Acknowledgements
The Authors would like to thank the Federal Government and the Heads of Government of the Länder,
as well as the Joint Science Conference (GWK), for their funding and support within the framework
of the NFDI4Ing consortium. Funded by the German Research Foundation (DFG) - project number 442146713.
Many thanks to the contributors listed in CONTRIBUTORS.md.
Contributing
An introduction and rules for contributing can be found in CONTRIBUTING.md.
About
Plot Serializer allows to generate a json file from widely used plotting packages (matplotlib), including the possibility to include metadata. It also allows to recreate the plot using a json file. Mirrored from https://git.rwth-aachen.de/rdm-tools/plot-serializer
plot-serializer.readthedocs.io/en/latest/
Topics
matplotlibnfdinfdi4ingplottingrdmrocrate
Resources
Readme
MIT license
Contributing
Contributing
Activity
Custom properties
Stars
1 star
Watchers
0 watching
Forks
0 forks
Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
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DOIDOI
Overview
Plot Serializer (PloSe) is a tool for converting scientific diagrams into (FAIR) data.
Many scientific publications are based on data. To fight the reproducibility crisis in science,
many researchers are adopting the practice of sharing data. This is more and more often required
by journals, conferences and funding bodies.
The PloSe team considers scientific diagrams an entry point to the research objects behind a publication.
Typically, the data depicted in a diagram within a scientific publication is of great interest to the reader.
The diagrams sometimes contain experimental or simulation results, in other cases secondary, processed data.
PloSe enables to quickly extract the data from the diagram, describe it with customizable metadata
(which can, for example, link to the primary dataset) and share it with the scientific community.
Hence, PloSe can assist you in making your data FAIR!
PloSe currently allows for serialization from matplotlib to JSON and RO-Crate. It is still under development, limited to certain
plot types.
PloSe also allows for deserialization of JSON-ized plots into matplotlib.
[[TOC]]
Installation
Install PlotSerializer by running
pip install plot-serializer
Documentation
View Plot Serializer's documentation on Read the Docs
License
View used License on Show License
Citing
Plot Serializer comes with a citation file: CITATION.cff.
Find out how to use it here.


Please cite:
Leštáková, M., & Xia, N. (2024, September 18). Plot Serializer. NFDI4ing Conference 2024, virtual. Zenodo. https://doi.org/10.5281/zenodo.13785916
Acknowledgements
The Authors would like to thank the Federal Government and the Heads of Government of the Länder,
as well as the Joint Science Conference (GWK), for their funding and support within the framework
of the NFDI4Ing consortium. Funded by the German Research Foundation (DFG) - project number 442146713.
Many thanks to the contributors listed in CONTRIBUTORS.md.
Contributing
An introduction and rules for contributing can be found in CONTRIBUTING.md.
About
Plot Serializer allows to generate a json file from widely used plotting packages (matplotlib), including the possibility to include metadata. It also allows to recreate the plot using a json file. Mirrored from https://git.rwth-aachen.de/rdm-tools/plot-serializer
plot-serializer.readthedocs.io/en/latest/
Topics
matplotlibnfdinfdi4ingplottingrdmrocrate
Resources
Readme
MIT license
Contributing
Contributing
Activity
Custom properties
Stars
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Watchers
0 watching
Forks
0 forks
Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
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DOIDOI
Overview
Plot Serializer (PloSe) is a tool for converting scientific diagrams into (FAIR) data.
Many scientific publications are based on data. To fight the reproducibility crisis in science,
many researchers are adopting the practice of sharing data. This is more and more often required
by journals, conferences and funding bodies.
The PloSe team considers scientific diagrams an entry point to the research objects behind a publication.
Typically, the data depicted in a diagram within a scientific publication is of great interest to the reader.
The diagrams sometimes contain experimental or simulation results, in other cases secondary, processed data.
PloSe enables to quickly extract the data from the diagram, describe it with customizable metadata
(which can, for example, link to the primary dataset) and share it with the scientific community.
Hence, PloSe can assist you in making your data FAIR!
PloSe currently allows for serialization from matplotlib to JSON and RO-Crate. It is still under development, limited to certain
plot types.
PloSe also allows for deserialization of JSON-ized plots into matplotlib.
[[TOC]]
Installation
Install PlotSerializer by running
pip install plot-serializer
Documentation
View Plot Serializer's documentation on Read the Docs
License
View used License on Show License
Citing
Plot Serializer comes with a citation file: CITATION.cff.
Find out how to use it here.


Please cite:
Leštáková, M., & Xia, N. (2024, September 18). Plot Serializer. NFDI4ing Conference 2024, virtual. Zenodo. https://doi.org/10.5281/zenodo.13785916
Acknowledgements
The Authors would like to thank the Federal Government and the Heads of Government of the Länder,
as well as the Joint Science Conference (GWK), for their funding and support within the framework
of the NFDI4Ing consortium. Funded by the German Research Foundation (DFG) - project number 442146713.
Many thanks to the contributors listed in CONTRIBUTORS.md.
Contributing
An introduction and rules for contributing can be found in CONTRIBUTING.md.
About
Plot Serializer allows to generate a json file from widely used plotting packages (matplotlib), including the possibility to include metadata. It also allows to recreate the plot using a json file. Mirrored from https://git.rwth-aachen.de/rdm-tools/plot-serializer
plot-serializer.readthedocs.io/en/latest/
Topics
matplotlibnfdinfdi4ingplottingrdmrocrate
Resources
Readme
MIT license
Contributing
Contributing
Activity
Custom properties
Stars
1 star
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
BranchesTags
Repository files navigation
DOIDOI
Overview
Plot Serializer (PloSe) is a tool for converting scientific diagrams into (FAIR) data.
Many scientific publications are based on data. To fight the reproducibility crisis in science,
many researchers are adopting the practice of sharing data. This is more and more often required
by journals, conferences and funding bodies.
The PloSe team considers scientific diagrams an entry point to the research objects behind a publication.
Typically, the data depicted in a diagram within a scientific publication is of great interest to the reader.
The diagrams sometimes contain experimental or simulation results, in other cases secondary, processed data.
PloSe enables to quickly extract the data from the diagram, describe it with customizable metadata
(which can, for example, link to the primary dataset) and share it with the scientific community.
Hence, PloSe can assist you in making your data FAIR!
PloSe currently allows for serialization from matplotlib to JSON and RO-Crate. It is still under development, limited to certain
plot types.
PloSe also allows for deserialization of JSON-ized plots into matplotlib.
[[TOC]]
Installation
Install PlotSerializer by running
pip install plot-serializer
Documentation
View Plot Serializer's documentation on Read the Docs
License
View used License on Show License
Citing
Plot Serializer comes with a citation file: CITATION.cff.
Find out how to use it here.


Please cite:
Leštáková, M., & Xia, N. (2024, September 18). Plot Serializer. NFDI4ing Conference 2024, virtual. Zenodo. https://doi.org/10.5281/zenodo.13785916
Acknowledgements
The Authors would like to thank the Federal Government and the Heads of Government of the Länder,
as well as the Joint Science Conference (GWK), for their funding and support within the framework
of the NFDI4Ing consortium. Funded by the German Research Foundation (DFG) - project number 442146713.
Many thanks to the contributors listed in CONTRIBUTORS.md.
Contributing
An introduction and rules for contributing can be found in CONTRIBUTING.md.
About
Plot Serializer allows to generate a json file from widely used plotting packages (matplotlib), including the possibility to include metadata. It also allows to recreate the plot using a json file. Mirrored from https://git.rwth-aachen.de/rdm-tools/plot-serializer
plot-serializer.readthedocs.io/en/latest/
Topics
matplotlibnfdinfdi4ingplottingrdmrocrate
Resources
Readme
MIT license
Contributing
Contributing
Activity
Custom properties
Stars
1 star
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
DOIDOI
Overview
Plot Serializer (PloSe) is a tool for converting scientific diagrams into (FAIR) data.
Many scientific publications are based on data. To fight the reproducibility crisis in science,
many researchers are adopting the practice of sharing data. This is more and more often required
by journals, conferences and funding bodies.
The PloSe team considers scientific diagrams an entry point to the research objects behind a publication.
Typically, the data depicted in a diagram within a scientific publication is of great interest to the reader.
The diagrams sometimes contain experimental or simulation results, in other cases secondary, processed data.
PloSe enables to quickly extract the data from the diagram, describe it with customizable metadata
(which can, for example, link to the primary dataset) and share it with the scientific community.
Hence, PloSe can assist you in making your data FAIR!
PloSe currently allows for serialization from matplotlib to JSON and RO-Crate. It is still under development, limited to certain
plot types.
PloSe also allows for deserialization of JSON-ized plots into matplotlib.
[[TOC]]
Installation
Install PlotSerializer by running
pip install plot-serializer
Documentation
View Plot Serializer's documentation on Read the Docs
License
View used License on Show License
Citing
Plot Serializer comes with a citation file: CITATION.cff.
Find out how to use it here.


Please cite:
Leštáková, M., & Xia, N. (2024, September 18). Plot Serializer. NFDI4ing Conference 2024, virtual. Zenodo. https://doi.org/10.5281/zenodo.13785916
Acknowledgements
The Authors would like to thank the Federal Government and the Heads of Government of the Länder,
as well as the Joint Science Conference (GWK), for their funding and support within the framework
of the NFDI4Ing consortium. Funded by the German Research Foundation (DFG) - project number 442146713.
Many thanks to the contributors listed in CONTRIBUTORS.md.
Contributing
An introduction and rules for contributing can be found in CONTRIBUTING.md.
About
Plot Serializer allows to generate a json file from widely used plotting packages (matplotlib), including the possibility to include metadata. It also allows to recreate the plot using a json file. Mirrored from https://git.rwth-aachen.de/rdm-tools/plot-serializer
plot-serializer.readthedocs.io/en/latest/
Topics
matplotlibnfdinfdi4ingplottingrdmrocrate
Resources
Readme
MIT license
Contributing
Contributing
Activity
Custom properties
Stars
1 star
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
DOIDOI
Overview
Plot Serializer (PloSe) is a tool for converting scientific diagrams into (FAIR) data.
Many scientific publications are based on data. To fight the reproducibility crisis in science,
many researchers are adopting the practice of sharing data. This is more and more often required
by journals, conferences and funding bodies.
The PloSe team considers scientific diagrams an entry point to the research objects behind a publication.
Typically, the data depicted in a diagram within a scientific publication is of great interest to the reader.
The diagrams sometimes contain experimental or simulation results, in other cases secondary, processed data.
PloSe enables to quickly extract the data from the diagram, describe it with customizable metadata
(which can, for example, link to the primary dataset) and share it with the scientific community.
Hence, PloSe can assist you in making your data FAIR!
PloSe currently allows for serialization from matplotlib to JSON and RO-Crate. It is still under development, limited to certain
plot types.
PloSe also allows for deserialization of JSON-ized plots into matplotlib.
[[TOC]]
Installation
Install PlotSerializer by running
pip install plot-serializer
Documentation
View Plot Serializer's documentation on Read the Docs
License
View used License on Show License
Citing
Plot Serializer comes with a citation file: CITATION.cff.
Find out how to use it here.


Please cite:
Leštáková, M., & Xia, N. (2024, September 18). Plot Serializer. NFDI4ing Conference 2024, virtual. Zenodo. https://doi.org/10.5281/zenodo.13785916
Acknowledgements
The Authors would like to thank the Federal Government and the Heads of Government of the Länder,
as well as the Joint Science Conference (GWK), for their funding and support within the framework
of the NFDI4Ing consortium. Funded by the German Research Foundation (DFG) - project number 442146713.
Many thanks to the contributors listed in CONTRIBUTORS.md.
Contributing
An introduction and rules for contributing can be found in CONTRIBUTING.md.
About
Plot Serializer allows to generate a json file from widely used plotting packages (matplotlib), including the possibility to include metadata. It also allows to recreate the plot using a json file. Mirrored from https://git.rwth-aachen.de/rdm-tools/plot-serializer
plot-serializer.readthedocs.io/en/latest/
Topics
matplotlibnfdinfdi4ingplottingrdmrocrate
Resources
Readme
MIT license
Contributing
Contributing
Activity
Custom properties
Stars
1 star
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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DOIDOI
Overview
Plot Serializer (PloSe) is a tool for converting scientific diagrams into (FAIR) data.
Many scientific publications are based on data. To fight the reproducibility crisis in science,
many researchers are adopting the practice of sharing data. This is more and more often required
by journals, conferences and funding bodies.
The PloSe team considers scientific diagrams an entry point to the research objects behind a publication.
Typically, the data depicted in a diagram within a scientific publication is of great interest to the reader.
The diagrams sometimes contain experimental or simulation results, in other cases secondary, processed data.
PloSe enables to quickly extract the data from the diagram, describe it with customizable metadata
(which can, for example, link to the primary dataset) and share it with the scientific community.
Hence, PloSe can assist you in making your data FAIR!
PloSe currently allows for serialization from matplotlib to JSON and RO-Crate. It is still under development, limited to certain
plot types.
PloSe also allows for deserialization of JSON-ized plots into matplotlib.
[[TOC]]
Installation
Install PlotSerializer by running
pip install plot-serializer
Documentation
View Plot Serializer's documentation on Read the Docs
License
View used License on Show License
Citing
Plot Serializer comes with a citation file: CITATION.cff.
Find out how to use it here.


Please cite:
Leštáková, M., & Xia, N. (2024, September 18). Plot Serializer. NFDI4ing Conference 2024, virtual. Zenodo. https://doi.org/10.5281/zenodo.13785916
Acknowledgements
The Authors would like to thank the Federal Government and the Heads of Government of the Länder,
as well as the Joint Science Conference (GWK), for their funding and support within the framework
of the NFDI4Ing consortium. Funded by the German Research Foundation (DFG) - project number 442146713.
Many thanks to the contributors listed in CONTRIBUTORS.md.
Contributing
An introduction and rules for contributing can be found in CONTRIBUTING.md.
About
Plot Serializer allows to generate a json file from widely used plotting packages (matplotlib), including the possibility to include metadata. It also allows to recreate the plot using a json file. Mirrored from https://git.rwth-aachen.de/rdm-tools/plot-serializer
plot-serializer.readthedocs.io/en/latest/
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