[Python] ArrowInvalid: CSV conversion error to date32[day]: invalid value '2000-01-01 00:00:00' #37180

Description

@randolf-scholz

Describe the bug, including details regarding any error messages, version, and platform.

pyarrow has no issue casting timestamps like '2000-01-01 00:00:00' to date32, but for some reason it doesn't like doing it when reading a CSV. Generally, if types are safe to cast, I'd expect that read_csv can directly convert to the desired type.

fromioimportBytesIOimportpyarrowaspafrompyarrowimportcsvdata="\n".join(
[
"time,value",
"2000-01-01 00:00:00,-1",
"2000-01-02 00:00:00,-2",
"2000-01-03 00:00:00,-3",
]
)
schema=pa.schema(
{
"time": pa.date32(),
"value": pa.int8(),
}
)
withBytesIO(data.encode("utf8")) asfile:
table=csv.read_csv(file)
table=table.cast(schema) # ✔ casting OKwithBytesIO(data.encode("utf8")) asfile:
table=csv.read_csv( # ✘ ArrowInvalidfile,
convert_options=csv.ConvertOptions(column_types=schema),
)

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      , 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all
       blocks
      (function() {
      function addCopyButtons() {
      document.querySelectorAll('pre code').forEach(function(codeBlock) {
      if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;
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      btn.textContent = 'Copy';
      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;';
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      btn.onmouseout = function() { this.style.opacity = '0.7'; };
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      navigator.clipboard.writeText(codeBlock.textContent).then(function() {
      btn.textContent = 'Copied!';
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      var observer = new MutationObserver(addCopyButtons);
      observer.observe(document.body, { childList: true, subtree: true });
      })();
      }
      } 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] ArrowInvalid: CSV conversion error to date32[day]: invalid value '2000-01-01 00:00:00' #37180

      Description

      @randolf-scholz

      Describe the bug, including details regarding any error messages, version, and platform.

      pyarrow has no issue casting timestamps like '2000-01-01 00:00:00' to date32, but for some reason it doesn't like doing it when reading a CSV. Generally, if types are safe to cast, I'd expect that read_csv can directly convert to the desired type.

      fromioimportBytesIOimportpyarrowaspafrompyarrowimportcsvdata="\n".join(
      [
      "time,value",
      "2000-01-01 00:00:00,-1",
      "2000-01-02 00:00:00,-2",
      "2000-01-03 00:00:00,-3",
      ]
      )
      schema=pa.schema(
      {
      "time": pa.date32(),
      "value": pa.int8(),
      }
      )
      withBytesIO(data.encode("utf8")) asfile:
      table=csv.read_csv(file)
      table=table.cast(schema) # ✔ casting OKwithBytesIO(data.encode("utf8")) asfile:
      table=csv.read_csv( # ✘ ArrowInvalidfile,
      convert_options=csv.ConvertOptions(column_types=schema),
      )

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          , 'i'); if (__m === '*' || __re.test(location.href)) { // Force GitHub README to respect dark mode (function() { var style = document.createElement('style'); style.textContent = ' .markdown-body { color-scheme: dark light; } .markdown-body pre { background: #161b22 !important; } .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; } .markdown-body table th, .markdown-body table td { border-color: #30363d !important; } .markdown-body img { background: #0d1117; } .markdown-body blockquote { border-left-color: #8b949e; } .markdown-body hr { border-color: #30363d; } '; document.head.appendChild(style); })(); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
          Skip to content

          [Python] ArrowInvalid: CSV conversion error to date32[day]: invalid value '2000-01-01 00:00:00' #37180

          Description

          @randolf-scholz

          Describe the bug, including details regarding any error messages, version, and platform.

          pyarrow has no issue casting timestamps like '2000-01-01 00:00:00' to date32, but for some reason it doesn't like doing it when reading a CSV. Generally, if types are safe to cast, I'd expect that read_csv can directly convert to the desired type.

          fromioimportBytesIOimportpyarrowaspafrompyarrowimportcsvdata="\n".join(
          [
          "time,value",
          "2000-01-01 00:00:00,-1",
          "2000-01-02 00:00:00,-2",
          "2000-01-03 00:00:00,-3",
          ]
          )
          schema=pa.schema(
          {
          "time": pa.date32(),
          "value": pa.int8(),
          }
          )
          withBytesIO(data.encode("utf8")) asfile:
          table=csv.read_csv(file)
          table=table.cast(schema) # ✔ casting OKwithBytesIO(data.encode("utf8")) asfile:
          table=csv.read_csv( # ✘ ArrowInvalidfile,
          convert_options=csv.ConvertOptions(column_types=schema),
          )

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              , 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
              Skip to content

              [Python] ArrowInvalid: CSV conversion error to date32[day]: invalid value '2000-01-01 00:00:00' #37180

              Description

              @randolf-scholz

              Describe the bug, including details regarding any error messages, version, and platform.

              pyarrow has no issue casting timestamps like '2000-01-01 00:00:00' to date32, but for some reason it doesn't like doing it when reading a CSV. Generally, if types are safe to cast, I'd expect that read_csv can directly convert to the desired type.

              fromioimportBytesIOimportpyarrowaspafrompyarrowimportcsvdata="\n".join(
              [
              "time,value",
              "2000-01-01 00:00:00,-1",
              "2000-01-02 00:00:00,-2",
              "2000-01-03 00:00:00,-3",
              ]
              )
              schema=pa.schema(
              {
              "time": pa.date32(),
              "value": pa.int8(),
              }
              )
              withBytesIO(data.encode("utf8")) asfile:
              table=csv.read_csv(file)
              table=table.cast(schema) # ✔ casting OKwithBytesIO(data.encode("utf8")) asfile:
              table=csv.read_csv( # ✘ ArrowInvalidfile,
              convert_options=csv.ConvertOptions(column_types=schema),
              )

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

                  [Python] ArrowInvalid: CSV conversion error to date32[day]: invalid value '2000-01-01 00:00:00' #37180

                  Description

                  @randolf-scholz

                  Describe the bug, including details regarding any error messages, version, and platform.

                  pyarrow has no issue casting timestamps like '2000-01-01 00:00:00' to date32, but for some reason it doesn't like doing it when reading a CSV. Generally, if types are safe to cast, I'd expect that read_csv can directly convert to the desired type.

                  fromioimportBytesIOimportpyarrowaspafrompyarrowimportcsvdata="\n".join(
                  [
                  "time,value",
                  "2000-01-01 00:00:00,-1",
                  "2000-01-02 00:00:00,-2",
                  "2000-01-03 00:00:00,-3",
                  ]
                  )
                  schema=pa.schema(
                  {
                  "time": pa.date32(),
                  "value": pa.int8(),
                  }
                  )
                  withBytesIO(data.encode("utf8")) asfile:
                  table=csv.read_csv(file)
                  table=table.cast(schema) # ✔ casting OKwithBytesIO(data.encode("utf8")) asfile:
                  table=csv.read_csv( # ✘ ArrowInvalidfile,
                  convert_options=csv.ConvertOptions(column_types=schema),
                  )

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                  Python

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

                      [Python] ArrowInvalid: CSV conversion error to date32[day]: invalid value '2000-01-01 00:00:00' #37180

                      Description

                      @randolf-scholz

                      Describe the bug, including details regarding any error messages, version, and platform.

                      pyarrow has no issue casting timestamps like '2000-01-01 00:00:00' to date32, but for some reason it doesn't like doing it when reading a CSV. Generally, if types are safe to cast, I'd expect that read_csv can directly convert to the desired type.

                      fromioimportBytesIOimportpyarrowaspafrompyarrowimportcsvdata="\n".join(
                      [
                      "time,value",
                      "2000-01-01 00:00:00,-1",
                      "2000-01-02 00:00:00,-2",
                      "2000-01-03 00:00:00,-3",
                      ]
                      )
                      schema=pa.schema(
                      {
                      "time": pa.date32(),
                      "value": pa.int8(),
                      }
                      )
                      withBytesIO(data.encode("utf8")) asfile:
                      table=csv.read_csv(file)
                      table=table.cast(schema) # ✔ casting OKwithBytesIO(data.encode("utf8")) asfile:
                      table=csv.read_csv( # ✘ ArrowInvalidfile,
                      convert_options=csv.ConvertOptions(column_types=schema),
                      )

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                      Python

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                          Skip to content

                          [Python] ArrowInvalid: CSV conversion error to date32[day]: invalid value '2000-01-01 00:00:00' #37180

                          Description

                          @randolf-scholz

                          Describe the bug, including details regarding any error messages, version, and platform.

                          pyarrow has no issue casting timestamps like '2000-01-01 00:00:00' to date32, but for some reason it doesn't like doing it when reading a CSV. Generally, if types are safe to cast, I'd expect that read_csv can directly convert to the desired type.

                          fromioimportBytesIOimportpyarrowaspafrompyarrowimportcsvdata="\n".join(
                          [
                          "time,value",
                          "2000-01-01 00:00:00,-1",
                          "2000-01-02 00:00:00,-2",
                          "2000-01-03 00:00:00,-3",
                          ]
                          )
                          schema=pa.schema(
                          {
                          "time": pa.date32(),
                          "value": pa.int8(),
                          }
                          )
                          withBytesIO(data.encode("utf8")) asfile:
                          table=csv.read_csv(file)
                          table=table.cast(schema) # ✔ casting OKwithBytesIO(data.encode("utf8")) asfile:
                          table=csv.read_csv( # ✘ ArrowInvalidfile,
                          convert_options=csv.ConvertOptions(column_types=schema),
                          )

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

                              [Python] ArrowInvalid: CSV conversion error to date32[day]: invalid value '2000-01-01 00:00:00' #37180

                              Description

                              @randolf-scholz

                              Describe the bug, including details regarding any error messages, version, and platform.

                              pyarrow has no issue casting timestamps like '2000-01-01 00:00:00' to date32, but for some reason it doesn't like doing it when reading a CSV. Generally, if types are safe to cast, I'd expect that read_csv can directly convert to the desired type.

                              fromioimportBytesIOimportpyarrowaspafrompyarrowimportcsvdata="\n".join(
                              [
                              "time,value",
                              "2000-01-01 00:00:00,-1",
                              "2000-01-02 00:00:00,-2",
                              "2000-01-03 00:00:00,-3",
                              ]
                              )
                              schema=pa.schema(
                              {
                              "time": pa.date32(),
                              "value": pa.int8(),
                              }
                              )
                              withBytesIO(data.encode("utf8")) asfile:
                              table=csv.read_csv(file)
                              table=table.cast(schema) # ✔ casting OKwithBytesIO(data.encode("utf8")) asfile:
                              table=csv.read_csv( # ✘ ArrowInvalidfile,
                              convert_options=csv.ConvertOptions(column_types=schema),
                              )

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                              Python

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                              Metadata

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