An interface with Pandas #56

Open
Open
An interface with Pandas#56
Labels
enhancementNew feature or request

Description

@simonaubertbd
simonaubertbd
opened on Apr 7, 2026

Problem Statement

Hello,
As of today, you can convert easily a string. But what I want to do, as a contribution to Amphi ETL is to interface it with Pandas.

Proposed Solution

Several use case, either to or form toon.

pandas_to_toon would be like an an aggregation, given a pandas string (the table represents a dataframe). Example :

CustomerCustomer CountryCustomer question
1FRHow do you do?
2UKHow old are you?
2UKAre you hungry?

could give, by row (here, I choose only Customer and question)

CustomerCustomer CountryCustomer questionGenerated Toon
1FRHow do you do?Customer: 1
"Customer Question": How do you do?
2UKHow old are you?Customer: 2
"Customer Question": How old are you?
2UKAre you hungry?Customer: 2
"Customer Question": Are you hungry?

But I can also have

CustomerCustomer QuestionGenerated Toon
1FRCustomer: 1
"Customer Question": How do you do?
2UKCustomer: 2
"Customer Question": mydataframe[3]{Customer,"Customer Question"}:
2,How old are you?
2,"Are you hungry? "

or even

Generated Toon
[3]{Customer,"Customer Question"}:
1,How do you do?
2,How old are you?
2,"Are you hungry? "

Alternatives Considered

None

SPEC Compliance

No response

Additional Context

I would like to use it on Amphi-ETL in addition with an LLM

Metadata

Metadata

Assignees

No one assigned

    Labels

    enhancementNew feature or request

    Type

    No type

    Projects

    No projects

      Milestone

      No milestone

      Relationships

      None yet

      Development

      No branches or pull requests

      Issue actions

      , '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" + '

      Skip to content
      An interface with Pandas #56
      Open
      Open
      An interface with Pandas#56
      Labels
      enhancementNew feature or request
      Description
      @simonaubertbd
      simonaubertbd
      opened on Apr 7, 2026
      Problem Statement
      Hello,
      
As of today, you can convert easily a string. But what I want to do, as a contribution to Amphi ETL is to interface it with Pandas.
      Proposed Solution
      Several use case, either to or form toon.
      pandas_to_toon would be like an an aggregation, given a pandas string (the table represents a dataframe). Example :
      CustomerCustomer CountryCustomer question
      1FRHow do you do?
      2UKHow old are you?
      2UKAre you hungry?
      could give, by row (here, I choose only Customer and question)
      CustomerCustomer CountryCustomer questionGenerated Toon
      1FRHow do you do?Customer: 1
       "Customer Question": How do you do?
      2UKHow old are you?Customer: 2
      "Customer Question": How old are you?
      2UKAre you hungry?Customer: 2
      "Customer Question": Are you hungry?
      But I can also have
      CustomerCustomer QuestionGenerated Toon
      1FRCustomer: 1
       "Customer Question": How do you do?
      2UKCustomer: 2
      "Customer Question": mydataframe[3]{Customer,"Customer Question"}:
       2,How old are you?
       2,"Are you hungry? "
      or even
      Generated Toon
      [3]{Customer,"Customer Question"}:
      1,How do you do?
      2,How old are you?
       2,"Are you hungry? "
      Alternatives Considered
      None
      SPEC Compliance
      No response
      Additional Context
      I would like to use it on Amphi-ETL in addition with an LLM
      Metadata
      Metadata
      Assignees
      No one assigned
        Labels
        enhancementNew feature or request
        Type
        No type
        Projects
        No projects
          Milestone
          No milestone
          Relationships
          None yet
          Development
          No branches or pull requests
          Issue actions
          
, '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
          An interface with Pandas #56
          Open
          Open
          An interface with Pandas#56
          Labels
          enhancementNew feature or request
          Description
          @simonaubertbd
          simonaubertbd
          opened on Apr 7, 2026
          Problem Statement
          Hello,
          
As of today, you can convert easily a string. But what I want to do, as a contribution to Amphi ETL is to interface it with Pandas.
          Proposed Solution
          Several use case, either to or form toon.
          pandas_to_toon would be like an an aggregation, given a pandas string (the table represents a dataframe). Example :
          CustomerCustomer CountryCustomer question
          1FRHow do you do?
          2UKHow old are you?
          2UKAre you hungry?
          could give, by row (here, I choose only Customer and question)
          CustomerCustomer CountryCustomer questionGenerated Toon
          1FRHow do you do?Customer: 1
           "Customer Question": How do you do?
          2UKHow old are you?Customer: 2
          "Customer Question": How old are you?
          2UKAre you hungry?Customer: 2
          "Customer Question": Are you hungry?
          But I can also have
          CustomerCustomer QuestionGenerated Toon
          1FRCustomer: 1
           "Customer Question": How do you do?
          2UKCustomer: 2
          "Customer Question": mydataframe[3]{Customer,"Customer Question"}:
           2,How old are you?
           2,"Are you hungry? "
          or even
          Generated Toon
          [3]{Customer,"Customer Question"}:
          1,How do you do?
          2,How old are you?
           2,"Are you hungry? "
          Alternatives Considered
          None
          SPEC Compliance
          No response
          Additional Context
          I would like to use it on Amphi-ETL in addition with an LLM
          Metadata
          Metadata
          Assignees
          No one assigned
            Labels
            enhancementNew feature or request
            Type
            No type
            Projects
            No projects
              Milestone
              No milestone
              Relationships
              None yet
              Development
              No branches or pull requests
              Issue actions
              
, '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
              An interface with Pandas #56
              Open
              Open
              An interface with Pandas#56
              Labels
              enhancementNew feature or request
              Description
              @simonaubertbd
              simonaubertbd
              opened on Apr 7, 2026
              Problem Statement
              Hello,
              
As of today, you can convert easily a string. But what I want to do, as a contribution to Amphi ETL is to interface it with Pandas.
              Proposed Solution
              Several use case, either to or form toon.
              pandas_to_toon would be like an an aggregation, given a pandas string (the table represents a dataframe). Example :
              CustomerCustomer CountryCustomer question
              1FRHow do you do?
              2UKHow old are you?
              2UKAre you hungry?
              could give, by row (here, I choose only Customer and question)
              CustomerCustomer CountryCustomer questionGenerated Toon
              1FRHow do you do?Customer: 1
               "Customer Question": How do you do?
              2UKHow old are you?Customer: 2
              "Customer Question": How old are you?
              2UKAre you hungry?Customer: 2
              "Customer Question": Are you hungry?
              But I can also have
              CustomerCustomer QuestionGenerated Toon
              1FRCustomer: 1
               "Customer Question": How do you do?
              2UKCustomer: 2
              "Customer Question": mydataframe[3]{Customer,"Customer Question"}:
               2,How old are you?
               2,"Are you hungry? "
              or even
              Generated Toon
              [3]{Customer,"Customer Question"}:
              1,How do you do?
              2,How old are you?
               2,"Are you hungry? "
              Alternatives Considered
              None
              SPEC Compliance
              No response
              Additional Context
              I would like to use it on Amphi-ETL in addition with an LLM
              Metadata
              Metadata
              Assignees
              No one assigned
                Labels
                enhancementNew feature or request
                Type
                No type
                Projects
                No projects
                  Milestone
                  No milestone
                  Relationships
                  None yet
                  Development
                  No branches or pull requests
                  Issue actions
                  
, '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
                  An interface with Pandas #56
                  Open
                  Open
                  An interface with Pandas#56
                  Labels
                  enhancementNew feature or request
                  Description
                  @simonaubertbd
                  simonaubertbd
                  opened on Apr 7, 2026
                  Problem Statement
                  Hello,
                  
As of today, you can convert easily a string. But what I want to do, as a contribution to Amphi ETL is to interface it with Pandas.
                  Proposed Solution
                  Several use case, either to or form toon.
                  pandas_to_toon would be like an an aggregation, given a pandas string (the table represents a dataframe). Example :
                  CustomerCustomer CountryCustomer question
                  1FRHow do you do?
                  2UKHow old are you?
                  2UKAre you hungry?
                  could give, by row (here, I choose only Customer and question)
                  CustomerCustomer CountryCustomer questionGenerated Toon
                  1FRHow do you do?Customer: 1
                   "Customer Question": How do you do?
                  2UKHow old are you?Customer: 2
                  "Customer Question": How old are you?
                  2UKAre you hungry?Customer: 2
                  "Customer Question": Are you hungry?
                  But I can also have
                  CustomerCustomer QuestionGenerated Toon
                  1FRCustomer: 1
                   "Customer Question": How do you do?
                  2UKCustomer: 2
                  "Customer Question": mydataframe[3]{Customer,"Customer Question"}:
                   2,How old are you?
                   2,"Are you hungry? "
                  or even
                  Generated Toon
                  [3]{Customer,"Customer Question"}:
                  1,How do you do?
                  2,How old are you?
                   2,"Are you hungry? "
                  Alternatives Considered
                  None
                  SPEC Compliance
                  No response
                  Additional Context
                  I would like to use it on Amphi-ETL in addition with an LLM
                  Metadata
                  Metadata
                  Assignees
                  No one assigned
                    Labels
                    enhancementNew feature or request
                    Type
                    No type
                    Projects
                    No projects
                      Milestone
                      No milestone
                      Relationships
                      None yet
                      Development
                      No branches or pull requests
                      Issue actions
                      
, '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
                      An interface with Pandas #56
                      Open
                      Open
                      An interface with Pandas#56
                      Labels
                      enhancementNew feature or request
                      Description
                      @simonaubertbd
                      simonaubertbd
                      opened on Apr 7, 2026
                      Problem Statement
                      Hello,
                      
As of today, you can convert easily a string. But what I want to do, as a contribution to Amphi ETL is to interface it with Pandas.
                      Proposed Solution
                      Several use case, either to or form toon.
                      pandas_to_toon would be like an an aggregation, given a pandas string (the table represents a dataframe). Example :
                      CustomerCustomer CountryCustomer question
                      1FRHow do you do?
                      2UKHow old are you?
                      2UKAre you hungry?
                      could give, by row (here, I choose only Customer and question)
                      CustomerCustomer CountryCustomer questionGenerated Toon
                      1FRHow do you do?Customer: 1
                       "Customer Question": How do you do?
                      2UKHow old are you?Customer: 2
                      "Customer Question": How old are you?
                      2UKAre you hungry?Customer: 2
                      "Customer Question": Are you hungry?
                      But I can also have
                      CustomerCustomer QuestionGenerated Toon
                      1FRCustomer: 1
                       "Customer Question": How do you do?
                      2UKCustomer: 2
                      "Customer Question": mydataframe[3]{Customer,"Customer Question"}:
                       2,How old are you?
                       2,"Are you hungry? "
                      or even
                      Generated Toon
                      [3]{Customer,"Customer Question"}:
                      1,How do you do?
                      2,How old are you?
                       2,"Are you hungry? "
                      Alternatives Considered
                      None
                      SPEC Compliance
                      No response
                      Additional Context
                      I would like to use it on Amphi-ETL in addition with an LLM
                      Metadata
                      Metadata
                      Assignees
                      No one assigned
                        Labels
                        enhancementNew feature or request
                        Type
                        No type
                        Projects
                        No projects
                          Milestone
                          No milestone
                          Relationships
                          None yet
                          Development
                          No branches or pull requests
                          Issue actions
                          
, '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
                          An interface with Pandas #56
                          Open
                          Open
                          An interface with Pandas#56
                          Labels
                          enhancementNew feature or request
                          Description
                          @simonaubertbd
                          simonaubertbd
                          opened on Apr 7, 2026
                          Problem Statement
                          Hello,
                          
As of today, you can convert easily a string. But what I want to do, as a contribution to Amphi ETL is to interface it with Pandas.
                          Proposed Solution
                          Several use case, either to or form toon.
                          pandas_to_toon would be like an an aggregation, given a pandas string (the table represents a dataframe). Example :
                          CustomerCustomer CountryCustomer question
                          1FRHow do you do?
                          2UKHow old are you?
                          2UKAre you hungry?
                          could give, by row (here, I choose only Customer and question)
                          CustomerCustomer CountryCustomer questionGenerated Toon
                          1FRHow do you do?Customer: 1
                           "Customer Question": How do you do?
                          2UKHow old are you?Customer: 2
                          "Customer Question": How old are you?
                          2UKAre you hungry?Customer: 2
                          "Customer Question": Are you hungry?
                          But I can also have
                          CustomerCustomer QuestionGenerated Toon
                          1FRCustomer: 1
                           "Customer Question": How do you do?
                          2UKCustomer: 2
                          "Customer Question": mydataframe[3]{Customer,"Customer Question"}:
                           2,How old are you?
                           2,"Are you hungry? "
                          or even
                          Generated Toon
                          [3]{Customer,"Customer Question"}:
                          1,How do you do?
                          2,How old are you?
                           2,"Are you hungry? "
                          Alternatives Considered
                          None
                          SPEC Compliance
                          No response
                          Additional Context
                          I would like to use it on Amphi-ETL in addition with an LLM
                          Metadata
                          Metadata
                          Assignees
                          No one assigned
                            Labels
                            enhancementNew feature or request
                            Type
                            No type
                            Projects
                            No projects
                              Milestone
                              No milestone
                              Relationships
                              None yet
                              Development
                              No branches or pull requests
                              Issue actions
                              
, '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); }
})();
})();

                              Skip to content
                              An interface with Pandas #56
                              Open
                              Open
                              An interface with Pandas#56
                              Labels
                              enhancementNew feature or request
                              Description
                              @simonaubertbd
                              simonaubertbd
                              opened on Apr 7, 2026
                              Problem Statement
                              Hello,
                              
As of today, you can convert easily a string. But what I want to do, as a contribution to Amphi ETL is to interface it with Pandas.
                              Proposed Solution
                              Several use case, either to or form toon.
                              pandas_to_toon would be like an an aggregation, given a pandas string (the table represents a dataframe). Example :
                              CustomerCustomer CountryCustomer question
                              1FRHow do you do?
                              2UKHow old are you?
                              2UKAre you hungry?
                              could give, by row (here, I choose only Customer and question)
                              CustomerCustomer CountryCustomer questionGenerated Toon
                              1FRHow do you do?Customer: 1
                               "Customer Question": How do you do?
                              2UKHow old are you?Customer: 2
                              "Customer Question": How old are you?
                              2UKAre you hungry?Customer: 2
                              "Customer Question": Are you hungry?
                              But I can also have
                              CustomerCustomer QuestionGenerated Toon
                              1FRCustomer: 1
                               "Customer Question": How do you do?
                              2UKCustomer: 2
                              "Customer Question": mydataframe[3]{Customer,"Customer Question"}:
                               2,How old are you?
                               2,"Are you hungry? "
                              or even
                              Generated Toon
                              [3]{Customer,"Customer Question"}:
                              1,How do you do?
                              2,How old are you?
                               2,"Are you hungry? "
                              Alternatives Considered
                              None
                              SPEC Compliance
                              No response
                              Additional Context
                              I would like to use it on Amphi-ETL in addition with an LLM
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