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Python-for-OriginPro

Python Scripts for OriginPro Automation

A collection of Python scripts using the originpro library to automate plotting, data management, and other routine tasks in OriginLab's Origin software. These tools are designed to streamline the workflow for scientific data analysis and visualization.

Scripts Overview

This repository contains the following scripts:

  • plot_active_sheet.py

    • Generates a quick 2D graph from the first two columns of the currently active worksheet in Origin.
  • plot_multiple_workbooks.py

    • Plots data from multiple different workbooks into a single, combined graph. It allows users to select workbooks by providing a specific list or a numerical range of indices.
  • plot_datafile_columns.py

    • Imports data from an external text file (e.g., .txt) and plots multiple specified columns from that file into a single, stylized scatter graph.
  • create_worksheet_index.py

    • Scans the entire Origin project, finds all existing worksheets, and generates a new summary sheet that acts as a "Table of Contents" with the name and index of each worksheet.

Requirements

  • OriginPro (with Python support enabled)
  • Python 3.x
  • originpro library
  • pandas library

Usage

  1. Ensure you have a running instance of OriginPro.
  2. Open the project file you wish to work with.
  3. Run the desired Python script from your terminal or IDE.

Note: Some scripts may contain hardcoded file paths or column names. Please modify them as needed for your specific use case.

License

This project is licensed under the MIT License. See the LICENSE file for the full text.

Author

  • Prathamesh Deshmukh

Feel free to use, modify, and distribute these scripts. If you find them useful, a star on the repository would be appreciated!

About

A collection of Python scripts using the originpro library to automate plotting and data management tasks in OriginLab's Origin software.

Topics

Resources

Stars

0 stars

Watchers

1 watching

Forks

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Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} 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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Python-for-OriginPro

Python Scripts for OriginPro Automation

A collection of Python scripts using the originpro library to automate plotting, data management, and other routine tasks in OriginLab's Origin software. These tools are designed to streamline the workflow for scientific data analysis and visualization.

Scripts Overview

This repository contains the following scripts:

  • plot_active_sheet.py

    • Generates a quick 2D graph from the first two columns of the currently active worksheet in Origin.
  • plot_multiple_workbooks.py

    • Plots data from multiple different workbooks into a single, combined graph. It allows users to select workbooks by providing a specific list or a numerical range of indices.
  • plot_datafile_columns.py

    • Imports data from an external text file (e.g., .txt) and plots multiple specified columns from that file into a single, stylized scatter graph.
  • create_worksheet_index.py

    • Scans the entire Origin project, finds all existing worksheets, and generates a new summary sheet that acts as a "Table of Contents" with the name and index of each worksheet.

Requirements

  • OriginPro (with Python support enabled)
  • Python 3.x
  • originpro library
  • pandas library

Usage

  1. Ensure you have a running instance of OriginPro.
  2. Open the project file you wish to work with.
  3. Run the desired Python script from your terminal or IDE.

Note: Some scripts may contain hardcoded file paths or column names. Please modify them as needed for your specific use case.

License

This project is licensed under the MIT License. See the LICENSE file for the full text.

Author

  • Prathamesh Deshmukh

Feel free to use, modify, and distribute these scripts. If you find them useful, a star on the repository would be appreciated!

About

A collection of Python scripts using the originpro library to automate plotting and data management tasks in OriginLab's Origin software.

Topics

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages

, '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('^' + ".*" + '
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Python-for-OriginPro

Python Scripts for OriginPro Automation

A collection of Python scripts using the originpro library to automate plotting, data management, and other routine tasks in OriginLab's Origin software. These tools are designed to streamline the workflow for scientific data analysis and visualization.

Scripts Overview

This repository contains the following scripts:

  • plot_active_sheet.py

    • Generates a quick 2D graph from the first two columns of the currently active worksheet in Origin.
  • plot_multiple_workbooks.py

    • Plots data from multiple different workbooks into a single, combined graph. It allows users to select workbooks by providing a specific list or a numerical range of indices.
  • plot_datafile_columns.py

    • Imports data from an external text file (e.g., .txt) and plots multiple specified columns from that file into a single, stylized scatter graph.
  • create_worksheet_index.py

    • Scans the entire Origin project, finds all existing worksheets, and generates a new summary sheet that acts as a "Table of Contents" with the name and index of each worksheet.

Requirements

  • OriginPro (with Python support enabled)
  • Python 3.x
  • originpro library
  • pandas library

Usage

  1. Ensure you have a running instance of OriginPro.
  2. Open the project file you wish to work with.
  3. Run the desired Python script from your terminal or IDE.

Note: Some scripts may contain hardcoded file paths or column names. Please modify them as needed for your specific use case.

License

This project is licensed under the MIT License. See the LICENSE file for the full text.

Author

  • Prathamesh Deshmukh

Feel free to use, modify, and distribute these scripts. If you find them useful, a star on the repository would be appreciated!

About

A collection of Python scripts using the originpro library to automate plotting and data management tasks in OriginLab's Origin software.

Topics

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages

, '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('^' + ".*" + '
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Python-for-OriginPro

Python Scripts for OriginPro Automation

A collection of Python scripts using the originpro library to automate plotting, data management, and other routine tasks in OriginLab's Origin software. These tools are designed to streamline the workflow for scientific data analysis and visualization.

Scripts Overview

This repository contains the following scripts:

  • plot_active_sheet.py

    • Generates a quick 2D graph from the first two columns of the currently active worksheet in Origin.
  • plot_multiple_workbooks.py

    • Plots data from multiple different workbooks into a single, combined graph. It allows users to select workbooks by providing a specific list or a numerical range of indices.
  • plot_datafile_columns.py

    • Imports data from an external text file (e.g., .txt) and plots multiple specified columns from that file into a single, stylized scatter graph.
  • create_worksheet_index.py

    • Scans the entire Origin project, finds all existing worksheets, and generates a new summary sheet that acts as a "Table of Contents" with the name and index of each worksheet.

Requirements

  • OriginPro (with Python support enabled)
  • Python 3.x
  • originpro library
  • pandas library

Usage

  1. Ensure you have a running instance of OriginPro.
  2. Open the project file you wish to work with.
  3. Run the desired Python script from your terminal or IDE.

Note: Some scripts may contain hardcoded file paths or column names. Please modify them as needed for your specific use case.

License

This project is licensed under the MIT License. See the LICENSE file for the full text.

Author

  • Prathamesh Deshmukh

Feel free to use, modify, and distribute these scripts. If you find them useful, a star on the repository would be appreciated!

About

A collection of Python scripts using the originpro library to automate plotting and data management tasks in OriginLab's Origin software.

Topics

Resources

Stars

0 stars

Watchers

1 watching

Forks

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" + '
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Repository files navigation

Python-for-OriginPro

Python Scripts for OriginPro Automation

A collection of Python scripts using the originpro library to automate plotting, data management, and other routine tasks in OriginLab's Origin software. These tools are designed to streamline the workflow for scientific data analysis and visualization.

Scripts Overview

This repository contains the following scripts:

  • plot_active_sheet.py

    • Generates a quick 2D graph from the first two columns of the currently active worksheet in Origin.
  • plot_multiple_workbooks.py

    • Plots data from multiple different workbooks into a single, combined graph. It allows users to select workbooks by providing a specific list or a numerical range of indices.
  • plot_datafile_columns.py

    • Imports data from an external text file (e.g., .txt) and plots multiple specified columns from that file into a single, stylized scatter graph.
  • create_worksheet_index.py

    • Scans the entire Origin project, finds all existing worksheets, and generates a new summary sheet that acts as a "Table of Contents" with the name and index of each worksheet.

Requirements

  • OriginPro (with Python support enabled)
  • Python 3.x
  • originpro library
  • pandas library

Usage

  1. Ensure you have a running instance of OriginPro.
  2. Open the project file you wish to work with.
  3. Run the desired Python script from your terminal or IDE.

Note: Some scripts may contain hardcoded file paths or column names. Please modify them as needed for your specific use case.

License

This project is licensed under the MIT License. See the LICENSE file for the full text.

Author

  • Prathamesh Deshmukh

Feel free to use, modify, and distribute these scripts. If you find them useful, a star on the repository would be appreciated!

About

A collection of Python scripts using the originpro library to automate plotting and data management tasks in OriginLab's Origin software.

Topics

Resources

Stars

0 stars

Watchers

1 watching

Forks

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('^' + ".*" + '
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Repository files navigation

Python-for-OriginPro

Python Scripts for OriginPro Automation

A collection of Python scripts using the originpro library to automate plotting, data management, and other routine tasks in OriginLab's Origin software. These tools are designed to streamline the workflow for scientific data analysis and visualization.

Scripts Overview

This repository contains the following scripts:

  • plot_active_sheet.py

    • Generates a quick 2D graph from the first two columns of the currently active worksheet in Origin.
  • plot_multiple_workbooks.py

    • Plots data from multiple different workbooks into a single, combined graph. It allows users to select workbooks by providing a specific list or a numerical range of indices.
  • plot_datafile_columns.py

    • Imports data from an external text file (e.g., .txt) and plots multiple specified columns from that file into a single, stylized scatter graph.
  • create_worksheet_index.py

    • Scans the entire Origin project, finds all existing worksheets, and generates a new summary sheet that acts as a "Table of Contents" with the name and index of each worksheet.

Requirements

  • OriginPro (with Python support enabled)
  • Python 3.x
  • originpro library
  • pandas library

Usage

  1. Ensure you have a running instance of OriginPro.
  2. Open the project file you wish to work with.
  3. Run the desired Python script from your terminal or IDE.

Note: Some scripts may contain hardcoded file paths or column names. Please modify them as needed for your specific use case.

License

This project is licensed under the MIT License. See the LICENSE file for the full text.

Author

  • Prathamesh Deshmukh

Feel free to use, modify, and distribute these scripts. If you find them useful, a star on the repository would be appreciated!

About

A collection of Python scripts using the originpro library to automate plotting and data management tasks in OriginLab's Origin software.

Topics

Resources

Stars

0 stars

Watchers

1 watching

Forks

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('^' + ".*" + '
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Repository files navigation

Python-for-OriginPro

Python Scripts for OriginPro Automation

A collection of Python scripts using the originpro library to automate plotting, data management, and other routine tasks in OriginLab's Origin software. These tools are designed to streamline the workflow for scientific data analysis and visualization.

Scripts Overview

This repository contains the following scripts:

  • plot_active_sheet.py

    • Generates a quick 2D graph from the first two columns of the currently active worksheet in Origin.
  • plot_multiple_workbooks.py

    • Plots data from multiple different workbooks into a single, combined graph. It allows users to select workbooks by providing a specific list or a numerical range of indices.
  • plot_datafile_columns.py

    • Imports data from an external text file (e.g., .txt) and plots multiple specified columns from that file into a single, stylized scatter graph.
  • create_worksheet_index.py

    • Scans the entire Origin project, finds all existing worksheets, and generates a new summary sheet that acts as a "Table of Contents" with the name and index of each worksheet.

Requirements

  • OriginPro (with Python support enabled)
  • Python 3.x
  • originpro library
  • pandas library

Usage

  1. Ensure you have a running instance of OriginPro.
  2. Open the project file you wish to work with.
  3. Run the desired Python script from your terminal or IDE.

Note: Some scripts may contain hardcoded file paths or column names. Please modify them as needed for your specific use case.

License

This project is licensed under the MIT License. See the LICENSE file for the full text.

Author

  • Prathamesh Deshmukh

Feel free to use, modify, and distribute these scripts. If you find them useful, a star on the repository would be appreciated!

About

A collection of Python scripts using the originpro library to automate plotting and data management tasks in OriginLab's Origin software.

Topics

Resources

Stars

0 stars

Watchers

1 watching

Forks

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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Python-for-OriginPro

Python Scripts for OriginPro Automation

A collection of Python scripts using the originpro library to automate plotting, data management, and other routine tasks in OriginLab's Origin software. These tools are designed to streamline the workflow for scientific data analysis and visualization.

Scripts Overview

This repository contains the following scripts:

  • plot_active_sheet.py

    • Generates a quick 2D graph from the first two columns of the currently active worksheet in Origin.
  • plot_multiple_workbooks.py

    • Plots data from multiple different workbooks into a single, combined graph. It allows users to select workbooks by providing a specific list or a numerical range of indices.
  • plot_datafile_columns.py

    • Imports data from an external text file (e.g., .txt) and plots multiple specified columns from that file into a single, stylized scatter graph.
  • create_worksheet_index.py

    • Scans the entire Origin project, finds all existing worksheets, and generates a new summary sheet that acts as a "Table of Contents" with the name and index of each worksheet.

Requirements

  • OriginPro (with Python support enabled)
  • Python 3.x
  • originpro library
  • pandas library

Usage

  1. Ensure you have a running instance of OriginPro.
  2. Open the project file you wish to work with.
  3. Run the desired Python script from your terminal or IDE.

Note: Some scripts may contain hardcoded file paths or column names. Please modify them as needed for your specific use case.

License

This project is licensed under the MIT License. See the LICENSE file for the full text.

Author

  • Prathamesh Deshmukh

Feel free to use, modify, and distribute these scripts. If you find them useful, a star on the repository would be appreciated!

About

A collection of Python scripts using the originpro library to automate plotting and data management tasks in OriginLab's Origin software.

Topics

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages