[C++/Python] Decimal conversion not working for exponential notation #18120

Description

@asfimport
importpyarrowaspaimportpandasaspdimportdecimalpa.Table.from_pandas(pd.DataFrame({'a': [decimal.Decimal('1.1'), decimal.Decimal('2E+1')]}))

Traceback (mostrecentcalllast):
File"<stdin>", line1, in <module>
File"pyarrow/table.pxi", line875, inpyarrow.lib.Table.from_pandas (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:44927)
File"/home/skadlec/.local/lib/python3.6/site-packages/pyarrow/pandas_compat.py", line350, indataframe_to_arraysconvert_types)]
File"/home/skadlec/.local/lib/python3.6/site-packages/pyarrow/pandas_compat.py", line349, in <listcomp>
forc, tinzip(columns_to_convert,
File"/home/skadlec/.local/lib/python3.6/site-packages/pyarrow/pandas_compat.py", line345, inconvert_columnreturnpa.array(col, from_pandas=True, type=ty)
File"pyarrow/array.pxi", line170, inpyarrow.lib.array (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:29224)
File"pyarrow/array.pxi", line70, inpyarrow.lib._ndarray_to_array (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:28465)
File"pyarrow/error.pxi", line77, inpyarrow.lib.check_status (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:8270)
pyarrow.lib.ArrowInvalid: Expectedbasetendigitordecimalpointbutfound'E'instead.

In manual cases clearly we can write decimal.Decimal('20') instead of decimal.Decimal('2E+1') but during arithmetical operations inside an application the exponential notation can be produced out of control (it is actually the normalized form of the decimal number) plus for some values the exponential notation is the only form expressing the significance so this should be accepted.

The documentation suggests using following transformation but that's only possible when the significance information doesn't need to be kept:

defremove_exponent(d):
returnd.quantize(Decimal(1)) ifd == d.to_integral() elsed.normalize()

Reporter: Antony Mayi / @antonymayi
Assignee: Phillip Cloud / @cpcloud

Related issues:

PRs and other links:

Note: This issue was originally created as ARROW-2153. Please see the migration documentation for further details.

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    , '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

    [C++/Python] Decimal conversion not working for exponential notation #18120

    Description

    @asfimport
    importpyarrowaspaimportpandasaspdimportdecimalpa.Table.from_pandas(pd.DataFrame({'a': [decimal.Decimal('1.1'), decimal.Decimal('2E+1')]}))

    Traceback (mostrecentcalllast):
    File"<stdin>", line1, in <module>
    File"pyarrow/table.pxi", line875, inpyarrow.lib.Table.from_pandas (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:44927)
    File"/home/skadlec/.local/lib/python3.6/site-packages/pyarrow/pandas_compat.py", line350, indataframe_to_arraysconvert_types)]
    File"/home/skadlec/.local/lib/python3.6/site-packages/pyarrow/pandas_compat.py", line349, in <listcomp>
    forc, tinzip(columns_to_convert,
    File"/home/skadlec/.local/lib/python3.6/site-packages/pyarrow/pandas_compat.py", line345, inconvert_columnreturnpa.array(col, from_pandas=True, type=ty)
    File"pyarrow/array.pxi", line170, inpyarrow.lib.array (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:29224)
    File"pyarrow/array.pxi", line70, inpyarrow.lib._ndarray_to_array (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:28465)
    File"pyarrow/error.pxi", line77, inpyarrow.lib.check_status (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:8270)
    pyarrow.lib.ArrowInvalid: Expectedbasetendigitordecimalpointbutfound'E'instead.

    In manual cases clearly we can write decimal.Decimal('20') instead of decimal.Decimal('2E+1') but during arithmetical operations inside an application the exponential notation can be produced out of control (it is actually the normalized form of the decimal number) plus for some values the exponential notation is the only form expressing the significance so this should be accepted.

    The documentation suggests using following transformation but that's only possible when the significance information doesn't need to be kept:

    defremove_exponent(d):
    returnd.quantize(Decimal(1)) ifd == d.to_integral() elsed.normalize()

    Reporter: Antony Mayi / @antonymayi
    Assignee: Phillip Cloud / @cpcloud

    Related issues:

    PRs and other links:

    Note: This issue was originally created as ARROW-2153. Please see the migration documentation for further details.

    Metadata

    Metadata

    Assignees

    Type

    No type

    Projects

    No projects

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      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

      [C++/Python] Decimal conversion not working for exponential notation #18120

      Description

      @asfimport
      importpyarrowaspaimportpandasaspdimportdecimalpa.Table.from_pandas(pd.DataFrame({'a': [decimal.Decimal('1.1'), decimal.Decimal('2E+1')]}))

      Traceback (mostrecentcalllast):
      File"<stdin>", line1, in <module>
      File"pyarrow/table.pxi", line875, inpyarrow.lib.Table.from_pandas (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:44927)
      File"/home/skadlec/.local/lib/python3.6/site-packages/pyarrow/pandas_compat.py", line350, indataframe_to_arraysconvert_types)]
      File"/home/skadlec/.local/lib/python3.6/site-packages/pyarrow/pandas_compat.py", line349, in <listcomp>
      forc, tinzip(columns_to_convert,
      File"/home/skadlec/.local/lib/python3.6/site-packages/pyarrow/pandas_compat.py", line345, inconvert_columnreturnpa.array(col, from_pandas=True, type=ty)
      File"pyarrow/array.pxi", line170, inpyarrow.lib.array (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:29224)
      File"pyarrow/array.pxi", line70, inpyarrow.lib._ndarray_to_array (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:28465)
      File"pyarrow/error.pxi", line77, inpyarrow.lib.check_status (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:8270)
      pyarrow.lib.ArrowInvalid: Expectedbasetendigitordecimalpointbutfound'E'instead.

      In manual cases clearly we can write decimal.Decimal('20') instead of decimal.Decimal('2E+1') but during arithmetical operations inside an application the exponential notation can be produced out of control (it is actually the normalized form of the decimal number) plus for some values the exponential notation is the only form expressing the significance so this should be accepted.

      The documentation suggests using following transformation but that's only possible when the significance information doesn't need to be kept:

      defremove_exponent(d):
      returnd.quantize(Decimal(1)) ifd == d.to_integral() elsed.normalize()

      Reporter: Antony Mayi / @antonymayi
      Assignee: Phillip Cloud / @cpcloud

      Related issues:

      PRs and other links:

      Note: This issue was originally created as ARROW-2153. Please see the migration documentation for further details.

      Metadata

      Metadata

      Assignees

      Type

      No type

      Projects

      No projects

        Milestone

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        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

        [C++/Python] Decimal conversion not working for exponential notation #18120

        Description

        @asfimport
        importpyarrowaspaimportpandasaspdimportdecimalpa.Table.from_pandas(pd.DataFrame({'a': [decimal.Decimal('1.1'), decimal.Decimal('2E+1')]}))

        Traceback (mostrecentcalllast):
        File"<stdin>", line1, in <module>
        File"pyarrow/table.pxi", line875, inpyarrow.lib.Table.from_pandas (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:44927)
        File"/home/skadlec/.local/lib/python3.6/site-packages/pyarrow/pandas_compat.py", line350, indataframe_to_arraysconvert_types)]
        File"/home/skadlec/.local/lib/python3.6/site-packages/pyarrow/pandas_compat.py", line349, in <listcomp>
        forc, tinzip(columns_to_convert,
        File"/home/skadlec/.local/lib/python3.6/site-packages/pyarrow/pandas_compat.py", line345, inconvert_columnreturnpa.array(col, from_pandas=True, type=ty)
        File"pyarrow/array.pxi", line170, inpyarrow.lib.array (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:29224)
        File"pyarrow/array.pxi", line70, inpyarrow.lib._ndarray_to_array (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:28465)
        File"pyarrow/error.pxi", line77, inpyarrow.lib.check_status (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:8270)
        pyarrow.lib.ArrowInvalid: Expectedbasetendigitordecimalpointbutfound'E'instead.

        In manual cases clearly we can write decimal.Decimal('20') instead of decimal.Decimal('2E+1') but during arithmetical operations inside an application the exponential notation can be produced out of control (it is actually the normalized form of the decimal number) plus for some values the exponential notation is the only form expressing the significance so this should be accepted.

        The documentation suggests using following transformation but that's only possible when the significance information doesn't need to be kept:

        defremove_exponent(d):
        returnd.quantize(Decimal(1)) ifd == d.to_integral() elsed.normalize()

        Reporter: Antony Mayi / @antonymayi
        Assignee: Phillip Cloud / @cpcloud

        Related issues:

        PRs and other links:

        Note: This issue was originally created as ARROW-2153. Please see the migration documentation for further details.

        Metadata

        Metadata

        Assignees

        Type

        No type

        Projects

        No projects

          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

          [C++/Python] Decimal conversion not working for exponential notation #18120

          Description

          @asfimport
          importpyarrowaspaimportpandasaspdimportdecimalpa.Table.from_pandas(pd.DataFrame({'a': [decimal.Decimal('1.1'), decimal.Decimal('2E+1')]}))

          Traceback (mostrecentcalllast):
          File"<stdin>", line1, in <module>
          File"pyarrow/table.pxi", line875, inpyarrow.lib.Table.from_pandas (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:44927)
          File"/home/skadlec/.local/lib/python3.6/site-packages/pyarrow/pandas_compat.py", line350, indataframe_to_arraysconvert_types)]
          File"/home/skadlec/.local/lib/python3.6/site-packages/pyarrow/pandas_compat.py", line349, in <listcomp>
          forc, tinzip(columns_to_convert,
          File"/home/skadlec/.local/lib/python3.6/site-packages/pyarrow/pandas_compat.py", line345, inconvert_columnreturnpa.array(col, from_pandas=True, type=ty)
          File"pyarrow/array.pxi", line170, inpyarrow.lib.array (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:29224)
          File"pyarrow/array.pxi", line70, inpyarrow.lib._ndarray_to_array (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:28465)
          File"pyarrow/error.pxi", line77, inpyarrow.lib.check_status (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:8270)
          pyarrow.lib.ArrowInvalid: Expectedbasetendigitordecimalpointbutfound'E'instead.

          In manual cases clearly we can write decimal.Decimal('20') instead of decimal.Decimal('2E+1') but during arithmetical operations inside an application the exponential notation can be produced out of control (it is actually the normalized form of the decimal number) plus for some values the exponential notation is the only form expressing the significance so this should be accepted.

          The documentation suggests using following transformation but that's only possible when the significance information doesn't need to be kept:

          defremove_exponent(d):
          returnd.quantize(Decimal(1)) ifd == d.to_integral() elsed.normalize()

          Reporter: Antony Mayi / @antonymayi
          Assignee: Phillip Cloud / @cpcloud

          Related issues:

          PRs and other links:

          Note: This issue was originally created as ARROW-2153. Please see the migration documentation for further details.

          Metadata

          Metadata

          Assignees

          Type

          No type

          Projects

          No projects

            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

            [C++/Python] Decimal conversion not working for exponential notation #18120

            Description

            @asfimport
            importpyarrowaspaimportpandasaspdimportdecimalpa.Table.from_pandas(pd.DataFrame({'a': [decimal.Decimal('1.1'), decimal.Decimal('2E+1')]}))

            Traceback (mostrecentcalllast):
            File"<stdin>", line1, in <module>
            File"pyarrow/table.pxi", line875, inpyarrow.lib.Table.from_pandas (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:44927)
            File"/home/skadlec/.local/lib/python3.6/site-packages/pyarrow/pandas_compat.py", line350, indataframe_to_arraysconvert_types)]
            File"/home/skadlec/.local/lib/python3.6/site-packages/pyarrow/pandas_compat.py", line349, in <listcomp>
            forc, tinzip(columns_to_convert,
            File"/home/skadlec/.local/lib/python3.6/site-packages/pyarrow/pandas_compat.py", line345, inconvert_columnreturnpa.array(col, from_pandas=True, type=ty)
            File"pyarrow/array.pxi", line170, inpyarrow.lib.array (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:29224)
            File"pyarrow/array.pxi", line70, inpyarrow.lib._ndarray_to_array (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:28465)
            File"pyarrow/error.pxi", line77, inpyarrow.lib.check_status (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:8270)
            pyarrow.lib.ArrowInvalid: Expectedbasetendigitordecimalpointbutfound'E'instead.

            In manual cases clearly we can write decimal.Decimal('20') instead of decimal.Decimal('2E+1') but during arithmetical operations inside an application the exponential notation can be produced out of control (it is actually the normalized form of the decimal number) plus for some values the exponential notation is the only form expressing the significance so this should be accepted.

            The documentation suggests using following transformation but that's only possible when the significance information doesn't need to be kept:

            defremove_exponent(d):
            returnd.quantize(Decimal(1)) ifd == d.to_integral() elsed.normalize()

            Reporter: Antony Mayi / @antonymayi
            Assignee: Phillip Cloud / @cpcloud

            Related issues:

            PRs and other links:

            Note: This issue was originally created as ARROW-2153. Please see the migration documentation for further details.

            Metadata

            Metadata

            Assignees

            Type

            No type

            Projects

            No projects

              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

              [C++/Python] Decimal conversion not working for exponential notation #18120

              Description

              @asfimport
              importpyarrowaspaimportpandasaspdimportdecimalpa.Table.from_pandas(pd.DataFrame({'a': [decimal.Decimal('1.1'), decimal.Decimal('2E+1')]}))

              Traceback (mostrecentcalllast):
              File"<stdin>", line1, in <module>
              File"pyarrow/table.pxi", line875, inpyarrow.lib.Table.from_pandas (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:44927)
              File"/home/skadlec/.local/lib/python3.6/site-packages/pyarrow/pandas_compat.py", line350, indataframe_to_arraysconvert_types)]
              File"/home/skadlec/.local/lib/python3.6/site-packages/pyarrow/pandas_compat.py", line349, in <listcomp>
              forc, tinzip(columns_to_convert,
              File"/home/skadlec/.local/lib/python3.6/site-packages/pyarrow/pandas_compat.py", line345, inconvert_columnreturnpa.array(col, from_pandas=True, type=ty)
              File"pyarrow/array.pxi", line170, inpyarrow.lib.array (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:29224)
              File"pyarrow/array.pxi", line70, inpyarrow.lib._ndarray_to_array (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:28465)
              File"pyarrow/error.pxi", line77, inpyarrow.lib.check_status (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:8270)
              pyarrow.lib.ArrowInvalid: Expectedbasetendigitordecimalpointbutfound'E'instead.

              In manual cases clearly we can write decimal.Decimal('20') instead of decimal.Decimal('2E+1') but during arithmetical operations inside an application the exponential notation can be produced out of control (it is actually the normalized form of the decimal number) plus for some values the exponential notation is the only form expressing the significance so this should be accepted.

              The documentation suggests using following transformation but that's only possible when the significance information doesn't need to be kept:

              defremove_exponent(d):
              returnd.quantize(Decimal(1)) ifd == d.to_integral() elsed.normalize()

              Reporter: Antony Mayi / @antonymayi
              Assignee: Phillip Cloud / @cpcloud

              Related issues:

              PRs and other links:

              Note: This issue was originally created as ARROW-2153. Please see the migration documentation for further details.

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                , '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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                [C++/Python] Decimal conversion not working for exponential notation #18120

                Description

                @asfimport
                importpyarrowaspaimportpandasaspdimportdecimalpa.Table.from_pandas(pd.DataFrame({'a': [decimal.Decimal('1.1'), decimal.Decimal('2E+1')]}))

                Traceback (mostrecentcalllast):
                File"<stdin>", line1, in <module>
                File"pyarrow/table.pxi", line875, inpyarrow.lib.Table.from_pandas (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:44927)
                File"/home/skadlec/.local/lib/python3.6/site-packages/pyarrow/pandas_compat.py", line350, indataframe_to_arraysconvert_types)]
                File"/home/skadlec/.local/lib/python3.6/site-packages/pyarrow/pandas_compat.py", line349, in <listcomp>
                forc, tinzip(columns_to_convert,
                File"/home/skadlec/.local/lib/python3.6/site-packages/pyarrow/pandas_compat.py", line345, inconvert_columnreturnpa.array(col, from_pandas=True, type=ty)
                File"pyarrow/array.pxi", line170, inpyarrow.lib.array (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:29224)
                File"pyarrow/array.pxi", line70, inpyarrow.lib._ndarray_to_array (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:28465)
                File"pyarrow/error.pxi", line77, inpyarrow.lib.check_status (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:8270)
                pyarrow.lib.ArrowInvalid: Expectedbasetendigitordecimalpointbutfound'E'instead.

                In manual cases clearly we can write decimal.Decimal('20') instead of decimal.Decimal('2E+1') but during arithmetical operations inside an application the exponential notation can be produced out of control (it is actually the normalized form of the decimal number) plus for some values the exponential notation is the only form expressing the significance so this should be accepted.

                The documentation suggests using following transformation but that's only possible when the significance information doesn't need to be kept:

                defremove_exponent(d):
                returnd.quantize(Decimal(1)) ifd == d.to_integral() elsed.normalize()

                Reporter: Antony Mayi / @antonymayi
                Assignee: Phillip Cloud / @cpcloud

                Related issues:

                PRs and other links:

                Note: This issue was originally created as ARROW-2153. Please see the migration documentation for further details.

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