fill_alpha is ignored in the datashader render path — shapes always render at full opacity #617

Description

@timtreis

fill_alpha is ignored in the datashader render path — shapes always render at full opacity

Description

When render_shapes uses the datashader path (automatically triggered for >10,000 shapes), fill_alpha has no effect. Shapes always render at full opacity (alpha=255) regardless of the fill_alpha value — including fill_alpha=0.0. The matplotlib path correctly applies fill_alpha. Because the method switch from matplotlib to datashader is automatic and silent, large datasets render differently from small ones with no warning to the user.

Root cause: _ds_shade_categorical passes min_alpha=_convert_alpha_to_datashader_range(alpha) to ds.tf.shade(). min_alpha is a floor on alpha for non-empty pixels, not a scaling factor. Setting min_alpha=0 still allows datashader to render shapes at alpha=255.

Environment

spatialdata-plot: 0.3.4.dev (main, 5cfedc7)
spatialdata: 0.5.0
Python: 3.13

Minimal Reproducible Example

importmatplotlib; matplotlib.use("Agg")
importmatplotlib.pyplotaspltimportnumpyasnpimportgeopandasasgpdimportdask; dask.config.set({"dataframe.query-planning": False})
importspatialdataassdfromspatialdata.modelsimportShapesModelimportspatialdata_plotfromshapely.geometryimportboxfromPILimportImage# Create enough shapes to trigger datashader (> 10,000)n=12000shapes=ShapesModel.parse(gpd.GeoDataFrame(
{
"geometry": [box(i%100, i//100, i%100+0.8, i//100+0.8) foriinrange(n)],
"radius": [0.4] *n,
},
geometry="geometry",
))
sdata=sd.SpatialData(shapes={"s": shapes})
fig, ax=plt.subplots()
sdata.pl.render_shapes("s", fill_alpha=0.0).pl.show(ax=ax)
fig.savefig("/tmp/ds_alpha_test.png", dpi=20, facecolor="white")
arr=np.array(Image.open("/tmp/ds_alpha_test.png"))
print(f"Max alpha in image: {arr[:, :, 3].max()}") # 255 instead of 0

Expected vs. Actual

Expected: fill_alpha=0.0 renders shapes invisible (alpha=0). fill_alpha=0.3 renders at 30% opacity, matching the matplotlib path.

Actual: Shapes render at full opacity (alpha=255) even with fill_alpha=0.0. No warning is emitted that datashader ignores fill_alpha.

Fix Sketch

After _datashader_map_aggregate_to_color returns an RGBA array, post-multiply the alpha channel by fill_alpha:

rgba_array[:, :, 3] = (rgba_array[:, :, 3] *fill_alpha).astype(np.uint8)

This makes the datashader path consistent with the matplotlib path for all fill_alpha values. The fix is applied after datashader compositing, so it does not interfere with datashader's internal alpha handling.

Labels: bug, shapes, priority: high


Triage tier: Tier 2

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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

      fill_alpha is ignored in the datashader render path — shapes always render at full opacity #617

      Description

      @timtreis

      fill_alpha is ignored in the datashader render path — shapes always render at full opacity

      Description

      When render_shapes uses the datashader path (automatically triggered for >10,000 shapes), fill_alpha has no effect. Shapes always render at full opacity (alpha=255) regardless of the fill_alpha value — including fill_alpha=0.0. The matplotlib path correctly applies fill_alpha. Because the method switch from matplotlib to datashader is automatic and silent, large datasets render differently from small ones with no warning to the user.

      Root cause: _ds_shade_categorical passes min_alpha=_convert_alpha_to_datashader_range(alpha) to ds.tf.shade(). min_alpha is a floor on alpha for non-empty pixels, not a scaling factor. Setting min_alpha=0 still allows datashader to render shapes at alpha=255.

      Environment

      spatialdata-plot: 0.3.4.dev (main, 5cfedc7)
      spatialdata: 0.5.0
      Python: 3.13
      

      Minimal Reproducible Example

      importmatplotlib; matplotlib.use("Agg")
      importmatplotlib.pyplotaspltimportnumpyasnpimportgeopandasasgpdimportdask; dask.config.set({"dataframe.query-planning": False})
      importspatialdataassdfromspatialdata.modelsimportShapesModelimportspatialdata_plotfromshapely.geometryimportboxfromPILimportImage# Create enough shapes to trigger datashader (> 10,000)n=12000shapes=ShapesModel.parse(gpd.GeoDataFrame(
      {
      "geometry": [box(i%100, i//100, i%100+0.8, i//100+0.8) foriinrange(n)],
      "radius": [0.4] *n,
      },
      geometry="geometry",
      ))
      sdata=sd.SpatialData(shapes={"s": shapes})
      fig, ax=plt.subplots()
      sdata.pl.render_shapes("s", fill_alpha=0.0).pl.show(ax=ax)
      fig.savefig("/tmp/ds_alpha_test.png", dpi=20, facecolor="white")
      arr=np.array(Image.open("/tmp/ds_alpha_test.png"))
      print(f"Max alpha in image: {arr[:, :, 3].max()}") # 255 instead of 0

      Expected vs. Actual

      Expected: fill_alpha=0.0 renders shapes invisible (alpha=0). fill_alpha=0.3 renders at 30% opacity, matching the matplotlib path.

      Actual: Shapes render at full opacity (alpha=255) even with fill_alpha=0.0. No warning is emitted that datashader ignores fill_alpha.

      Fix Sketch

      After _datashader_map_aggregate_to_color returns an RGBA array, post-multiply the alpha channel by fill_alpha:

      rgba_array[:, :, 3] = (rgba_array[:, :, 3] *fill_alpha).astype(np.uint8)

      This makes the datashader path consistent with the matplotlib path for all fill_alpha values. The fix is applied after datashader compositing, so it does not interfere with datashader's internal alpha handling.

      Labels: bug, shapes, priority: high


      Triage tier: Tier 2

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

          fill_alpha is ignored in the datashader render path — shapes always render at full opacity #617

          Description

          @timtreis

          fill_alpha is ignored in the datashader render path — shapes always render at full opacity

          Description

          When render_shapes uses the datashader path (automatically triggered for >10,000 shapes), fill_alpha has no effect. Shapes always render at full opacity (alpha=255) regardless of the fill_alpha value — including fill_alpha=0.0. The matplotlib path correctly applies fill_alpha. Because the method switch from matplotlib to datashader is automatic and silent, large datasets render differently from small ones with no warning to the user.

          Root cause: _ds_shade_categorical passes min_alpha=_convert_alpha_to_datashader_range(alpha) to ds.tf.shade(). min_alpha is a floor on alpha for non-empty pixels, not a scaling factor. Setting min_alpha=0 still allows datashader to render shapes at alpha=255.

          Environment

          spatialdata-plot: 0.3.4.dev (main, 5cfedc7)
          spatialdata: 0.5.0
          Python: 3.13
          

          Minimal Reproducible Example

          importmatplotlib; matplotlib.use("Agg")
          importmatplotlib.pyplotaspltimportnumpyasnpimportgeopandasasgpdimportdask; dask.config.set({"dataframe.query-planning": False})
          importspatialdataassdfromspatialdata.modelsimportShapesModelimportspatialdata_plotfromshapely.geometryimportboxfromPILimportImage# Create enough shapes to trigger datashader (> 10,000)n=12000shapes=ShapesModel.parse(gpd.GeoDataFrame(
          {
          "geometry": [box(i%100, i//100, i%100+0.8, i//100+0.8) foriinrange(n)],
          "radius": [0.4] *n,
          },
          geometry="geometry",
          ))
          sdata=sd.SpatialData(shapes={"s": shapes})
          fig, ax=plt.subplots()
          sdata.pl.render_shapes("s", fill_alpha=0.0).pl.show(ax=ax)
          fig.savefig("/tmp/ds_alpha_test.png", dpi=20, facecolor="white")
          arr=np.array(Image.open("/tmp/ds_alpha_test.png"))
          print(f"Max alpha in image: {arr[:, :, 3].max()}") # 255 instead of 0

          Expected vs. Actual

          Expected: fill_alpha=0.0 renders shapes invisible (alpha=0). fill_alpha=0.3 renders at 30% opacity, matching the matplotlib path.

          Actual: Shapes render at full opacity (alpha=255) even with fill_alpha=0.0. No warning is emitted that datashader ignores fill_alpha.

          Fix Sketch

          After _datashader_map_aggregate_to_color returns an RGBA array, post-multiply the alpha channel by fill_alpha:

          rgba_array[:, :, 3] = (rgba_array[:, :, 3] *fill_alpha).astype(np.uint8)

          This makes the datashader path consistent with the matplotlib path for all fill_alpha values. The fix is applied after datashader compositing, so it does not interfere with datashader's internal alpha handling.

          Labels: bug, shapes, priority: high


          Triage tier: Tier 2

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

              fill_alpha is ignored in the datashader render path — shapes always render at full opacity #617

              Description

              @timtreis

              fill_alpha is ignored in the datashader render path — shapes always render at full opacity

              Description

              When render_shapes uses the datashader path (automatically triggered for >10,000 shapes), fill_alpha has no effect. Shapes always render at full opacity (alpha=255) regardless of the fill_alpha value — including fill_alpha=0.0. The matplotlib path correctly applies fill_alpha. Because the method switch from matplotlib to datashader is automatic and silent, large datasets render differently from small ones with no warning to the user.

              Root cause: _ds_shade_categorical passes min_alpha=_convert_alpha_to_datashader_range(alpha) to ds.tf.shade(). min_alpha is a floor on alpha for non-empty pixels, not a scaling factor. Setting min_alpha=0 still allows datashader to render shapes at alpha=255.

              Environment

              spatialdata-plot: 0.3.4.dev (main, 5cfedc7)
              spatialdata: 0.5.0
              Python: 3.13
              

              Minimal Reproducible Example

              importmatplotlib; matplotlib.use("Agg")
              importmatplotlib.pyplotaspltimportnumpyasnpimportgeopandasasgpdimportdask; dask.config.set({"dataframe.query-planning": False})
              importspatialdataassdfromspatialdata.modelsimportShapesModelimportspatialdata_plotfromshapely.geometryimportboxfromPILimportImage# Create enough shapes to trigger datashader (> 10,000)n=12000shapes=ShapesModel.parse(gpd.GeoDataFrame(
              {
              "geometry": [box(i%100, i//100, i%100+0.8, i//100+0.8) foriinrange(n)],
              "radius": [0.4] *n,
              },
              geometry="geometry",
              ))
              sdata=sd.SpatialData(shapes={"s": shapes})
              fig, ax=plt.subplots()
              sdata.pl.render_shapes("s", fill_alpha=0.0).pl.show(ax=ax)
              fig.savefig("/tmp/ds_alpha_test.png", dpi=20, facecolor="white")
              arr=np.array(Image.open("/tmp/ds_alpha_test.png"))
              print(f"Max alpha in image: {arr[:, :, 3].max()}") # 255 instead of 0

              Expected vs. Actual

              Expected: fill_alpha=0.0 renders shapes invisible (alpha=0). fill_alpha=0.3 renders at 30% opacity, matching the matplotlib path.

              Actual: Shapes render at full opacity (alpha=255) even with fill_alpha=0.0. No warning is emitted that datashader ignores fill_alpha.

              Fix Sketch

              After _datashader_map_aggregate_to_color returns an RGBA array, post-multiply the alpha channel by fill_alpha:

              rgba_array[:, :, 3] = (rgba_array[:, :, 3] *fill_alpha).astype(np.uint8)

              This makes the datashader path consistent with the matplotlib path for all fill_alpha values. The fix is applied after datashader compositing, so it does not interfere with datashader's internal alpha handling.

              Labels: bug, shapes, priority: high


              Triage tier: Tier 2

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                  , '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

                  fill_alpha is ignored in the datashader render path — shapes always render at full opacity #617

                  Description

                  @timtreis

                  fill_alpha is ignored in the datashader render path — shapes always render at full opacity

                  Description

                  When render_shapes uses the datashader path (automatically triggered for >10,000 shapes), fill_alpha has no effect. Shapes always render at full opacity (alpha=255) regardless of the fill_alpha value — including fill_alpha=0.0. The matplotlib path correctly applies fill_alpha. Because the method switch from matplotlib to datashader is automatic and silent, large datasets render differently from small ones with no warning to the user.

                  Root cause: _ds_shade_categorical passes min_alpha=_convert_alpha_to_datashader_range(alpha) to ds.tf.shade(). min_alpha is a floor on alpha for non-empty pixels, not a scaling factor. Setting min_alpha=0 still allows datashader to render shapes at alpha=255.

                  Environment

                  spatialdata-plot: 0.3.4.dev (main, 5cfedc7)
                  spatialdata: 0.5.0
                  Python: 3.13
                  

                  Minimal Reproducible Example

                  importmatplotlib; matplotlib.use("Agg")
                  importmatplotlib.pyplotaspltimportnumpyasnpimportgeopandasasgpdimportdask; dask.config.set({"dataframe.query-planning": False})
                  importspatialdataassdfromspatialdata.modelsimportShapesModelimportspatialdata_plotfromshapely.geometryimportboxfromPILimportImage# Create enough shapes to trigger datashader (> 10,000)n=12000shapes=ShapesModel.parse(gpd.GeoDataFrame(
                  {
                  "geometry": [box(i%100, i//100, i%100+0.8, i//100+0.8) foriinrange(n)],
                  "radius": [0.4] *n,
                  },
                  geometry="geometry",
                  ))
                  sdata=sd.SpatialData(shapes={"s": shapes})
                  fig, ax=plt.subplots()
                  sdata.pl.render_shapes("s", fill_alpha=0.0).pl.show(ax=ax)
                  fig.savefig("/tmp/ds_alpha_test.png", dpi=20, facecolor="white")
                  arr=np.array(Image.open("/tmp/ds_alpha_test.png"))
                  print(f"Max alpha in image: {arr[:, :, 3].max()}") # 255 instead of 0

                  Expected vs. Actual

                  Expected: fill_alpha=0.0 renders shapes invisible (alpha=0). fill_alpha=0.3 renders at 30% opacity, matching the matplotlib path.

                  Actual: Shapes render at full opacity (alpha=255) even with fill_alpha=0.0. No warning is emitted that datashader ignores fill_alpha.

                  Fix Sketch

                  After _datashader_map_aggregate_to_color returns an RGBA array, post-multiply the alpha channel by fill_alpha:

                  rgba_array[:, :, 3] = (rgba_array[:, :, 3] *fill_alpha).astype(np.uint8)

                  This makes the datashader path consistent with the matplotlib path for all fill_alpha values. The fix is applied after datashader compositing, so it does not interfere with datashader's internal alpha handling.

                  Labels: bug, shapes, priority: high


                  Triage tier: Tier 2

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                      None yet

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                      No branches or pull requests

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                      , '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

                      fill_alpha is ignored in the datashader render path — shapes always render at full opacity #617

                      Description

                      @timtreis

                      fill_alpha is ignored in the datashader render path — shapes always render at full opacity

                      Description

                      When render_shapes uses the datashader path (automatically triggered for >10,000 shapes), fill_alpha has no effect. Shapes always render at full opacity (alpha=255) regardless of the fill_alpha value — including fill_alpha=0.0. The matplotlib path correctly applies fill_alpha. Because the method switch from matplotlib to datashader is automatic and silent, large datasets render differently from small ones with no warning to the user.

                      Root cause: _ds_shade_categorical passes min_alpha=_convert_alpha_to_datashader_range(alpha) to ds.tf.shade(). min_alpha is a floor on alpha for non-empty pixels, not a scaling factor. Setting min_alpha=0 still allows datashader to render shapes at alpha=255.

                      Environment

                      spatialdata-plot: 0.3.4.dev (main, 5cfedc7)
                      spatialdata: 0.5.0
                      Python: 3.13
                      

                      Minimal Reproducible Example

                      importmatplotlib; matplotlib.use("Agg")
                      importmatplotlib.pyplotaspltimportnumpyasnpimportgeopandasasgpdimportdask; dask.config.set({"dataframe.query-planning": False})
                      importspatialdataassdfromspatialdata.modelsimportShapesModelimportspatialdata_plotfromshapely.geometryimportboxfromPILimportImage# Create enough shapes to trigger datashader (> 10,000)n=12000shapes=ShapesModel.parse(gpd.GeoDataFrame(
                      {
                      "geometry": [box(i%100, i//100, i%100+0.8, i//100+0.8) foriinrange(n)],
                      "radius": [0.4] *n,
                      },
                      geometry="geometry",
                      ))
                      sdata=sd.SpatialData(shapes={"s": shapes})
                      fig, ax=plt.subplots()
                      sdata.pl.render_shapes("s", fill_alpha=0.0).pl.show(ax=ax)
                      fig.savefig("/tmp/ds_alpha_test.png", dpi=20, facecolor="white")
                      arr=np.array(Image.open("/tmp/ds_alpha_test.png"))
                      print(f"Max alpha in image: {arr[:, :, 3].max()}") # 255 instead of 0

                      Expected vs. Actual

                      Expected: fill_alpha=0.0 renders shapes invisible (alpha=0). fill_alpha=0.3 renders at 30% opacity, matching the matplotlib path.

                      Actual: Shapes render at full opacity (alpha=255) even with fill_alpha=0.0. No warning is emitted that datashader ignores fill_alpha.

                      Fix Sketch

                      After _datashader_map_aggregate_to_color returns an RGBA array, post-multiply the alpha channel by fill_alpha:

                      rgba_array[:, :, 3] = (rgba_array[:, :, 3] *fill_alpha).astype(np.uint8)

                      This makes the datashader path consistent with the matplotlib path for all fill_alpha values. The fix is applied after datashader compositing, so it does not interfere with datashader's internal alpha handling.

                      Labels: bug, shapes, priority: high


                      Triage tier: Tier 2

                      Metadata

                      Metadata

                      Assignees

                      No one assigned

                        Labels

                        Type

                        No type

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                        No projects

                          Milestone

                          No milestone

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                          , '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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                          fill_alpha is ignored in the datashader render path — shapes always render at full opacity #617

                          Description

                          @timtreis

                          fill_alpha is ignored in the datashader render path — shapes always render at full opacity

                          Description

                          When render_shapes uses the datashader path (automatically triggered for >10,000 shapes), fill_alpha has no effect. Shapes always render at full opacity (alpha=255) regardless of the fill_alpha value — including fill_alpha=0.0. The matplotlib path correctly applies fill_alpha. Because the method switch from matplotlib to datashader is automatic and silent, large datasets render differently from small ones with no warning to the user.

                          Root cause: _ds_shade_categorical passes min_alpha=_convert_alpha_to_datashader_range(alpha) to ds.tf.shade(). min_alpha is a floor on alpha for non-empty pixels, not a scaling factor. Setting min_alpha=0 still allows datashader to render shapes at alpha=255.

                          Environment

                          spatialdata-plot: 0.3.4.dev (main, 5cfedc7)
                          spatialdata: 0.5.0
                          Python: 3.13
                          

                          Minimal Reproducible Example

                          importmatplotlib; matplotlib.use("Agg")
                          importmatplotlib.pyplotaspltimportnumpyasnpimportgeopandasasgpdimportdask; dask.config.set({"dataframe.query-planning": False})
                          importspatialdataassdfromspatialdata.modelsimportShapesModelimportspatialdata_plotfromshapely.geometryimportboxfromPILimportImage# Create enough shapes to trigger datashader (> 10,000)n=12000shapes=ShapesModel.parse(gpd.GeoDataFrame(
                          {
                          "geometry": [box(i%100, i//100, i%100+0.8, i//100+0.8) foriinrange(n)],
                          "radius": [0.4] *n,
                          },
                          geometry="geometry",
                          ))
                          sdata=sd.SpatialData(shapes={"s": shapes})
                          fig, ax=plt.subplots()
                          sdata.pl.render_shapes("s", fill_alpha=0.0).pl.show(ax=ax)
                          fig.savefig("/tmp/ds_alpha_test.png", dpi=20, facecolor="white")
                          arr=np.array(Image.open("/tmp/ds_alpha_test.png"))
                          print(f"Max alpha in image: {arr[:, :, 3].max()}") # 255 instead of 0

                          Expected vs. Actual

                          Expected: fill_alpha=0.0 renders shapes invisible (alpha=0). fill_alpha=0.3 renders at 30% opacity, matching the matplotlib path.

                          Actual: Shapes render at full opacity (alpha=255) even with fill_alpha=0.0. No warning is emitted that datashader ignores fill_alpha.

                          Fix Sketch

                          After _datashader_map_aggregate_to_color returns an RGBA array, post-multiply the alpha channel by fill_alpha:

                          rgba_array[:, :, 3] = (rgba_array[:, :, 3] *fill_alpha).astype(np.uint8)

                          This makes the datashader path consistent with the matplotlib path for all fill_alpha values. The fix is applied after datashader compositing, so it does not interfere with datashader's internal alpha handling.

                          Labels: bug, shapes, priority: high


                          Triage tier: Tier 2

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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); } })(); })();
                              Skip to content

                              fill_alpha is ignored in the datashader render path — shapes always render at full opacity #617

                              Description

                              @timtreis

                              fill_alpha is ignored in the datashader render path — shapes always render at full opacity

                              Description

                              When render_shapes uses the datashader path (automatically triggered for >10,000 shapes), fill_alpha has no effect. Shapes always render at full opacity (alpha=255) regardless of the fill_alpha value — including fill_alpha=0.0. The matplotlib path correctly applies fill_alpha. Because the method switch from matplotlib to datashader is automatic and silent, large datasets render differently from small ones with no warning to the user.

                              Root cause: _ds_shade_categorical passes min_alpha=_convert_alpha_to_datashader_range(alpha) to ds.tf.shade(). min_alpha is a floor on alpha for non-empty pixels, not a scaling factor. Setting min_alpha=0 still allows datashader to render shapes at alpha=255.

                              Environment

                              spatialdata-plot: 0.3.4.dev (main, 5cfedc7)
                              spatialdata: 0.5.0
                              Python: 3.13
                              

                              Minimal Reproducible Example

                              importmatplotlib; matplotlib.use("Agg")
                              importmatplotlib.pyplotaspltimportnumpyasnpimportgeopandasasgpdimportdask; dask.config.set({"dataframe.query-planning": False})
                              importspatialdataassdfromspatialdata.modelsimportShapesModelimportspatialdata_plotfromshapely.geometryimportboxfromPILimportImage# Create enough shapes to trigger datashader (> 10,000)n=12000shapes=ShapesModel.parse(gpd.GeoDataFrame(
                              {
                              "geometry": [box(i%100, i//100, i%100+0.8, i//100+0.8) foriinrange(n)],
                              "radius": [0.4] *n,
                              },
                              geometry="geometry",
                              ))
                              sdata=sd.SpatialData(shapes={"s": shapes})
                              fig, ax=plt.subplots()
                              sdata.pl.render_shapes("s", fill_alpha=0.0).pl.show(ax=ax)
                              fig.savefig("/tmp/ds_alpha_test.png", dpi=20, facecolor="white")
                              arr=np.array(Image.open("/tmp/ds_alpha_test.png"))
                              print(f"Max alpha in image: {arr[:, :, 3].max()}") # 255 instead of 0

                              Expected vs. Actual

                              Expected: fill_alpha=0.0 renders shapes invisible (alpha=0). fill_alpha=0.3 renders at 30% opacity, matching the matplotlib path.

                              Actual: Shapes render at full opacity (alpha=255) even with fill_alpha=0.0. No warning is emitted that datashader ignores fill_alpha.

                              Fix Sketch

                              After _datashader_map_aggregate_to_color returns an RGBA array, post-multiply the alpha channel by fill_alpha:

                              rgba_array[:, :, 3] = (rgba_array[:, :, 3] *fill_alpha).astype(np.uint8)

                              This makes the datashader path consistent with the matplotlib path for all fill_alpha values. The fix is applied after datashader compositing, so it does not interfere with datashader's internal alpha handling.

                              Labels: bug, shapes, priority: high


                              Triage tier: Tier 2

                              Metadata

                              Metadata

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                              No one assigned

                                Labels

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                                No projects

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                                  No milestone

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