TypeError: expected str, bytes or os.PathLike object, not list #637

Description

@gboscagli

Hi all,
first of all, I want to express my gratitude for the universe you built around single-cell data analysis.
I'm moving to SpatialData tool and immediately found a problem reproducing this tutorial. I tried to create the path using os, Pathlib or even a list: the issue still arises. I just downloaded the zarr store as indicated in the tutorial, I just changed the tutorial_data folder name because I already had another store named like that.

{
"name": "TypeError",
"message": "expected str, bytes or os.PathLike object, not list",
"stack": "---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
Cell In[13], line 4
2 cosmx_dir = os.path.join(os.path.abspath(os.curdir), \"tutorial_data_sd\", \"nanostring_data\", \"data.zarr\")
3 type(cosmx_dir)
----> 4 sdata = SpatialData.read(\"tutorial_data_sd/nanostring_data/data.zarr\")
File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\spatialdata\\_core\\spatialdata.py:1160, in SpatialData.read(file_path, selection)
1144 \"\"\"
1145 Read a SpatialData object from a Zarr storage (on-disk or remote).
1146 (...)
1156 The SpatialData object.
1157 \"\"\"
1158 from spatialdata import read_zarr
-> 1160 return read_zarr(file_path, selection=selection)
File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\spatialdata\\_io\\io_zarr.py:80, in read_zarr(store, selection)
78 f_elem = group[subgroup_name]
79 f_elem_store = os.path.join(f_store_path, f_elem.path)
---> 80 element = _read_multiscale(f_elem_store, raster_type=\"image\")
81 images[subgroup_name] = element
82 count += 1
File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\spatialdata\\_io\\io_raster.py:70, in _read_multiscale(store, raster_type, fmt)
68 encoded_ngff_transformations = multiscales[0][\"coordinateTransformations\"]
69 transformations = _get_transformations_from_ngff_dict(encoded_ngff_transformations)
---> 70 name = os.path.basename(node.metadata[\"name\"])
71 # if image, read channels metadata
72 channels: Optional[list[Any]] = None
File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\
tpath.py:216, in basename(p)
214 def basename(p):
215 \"\"\"Returns the final component of a pathname\"\"\"
--> 216 return split(p)[1]
File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\
tpath.py:185, in split(p)
180 def split(p):
181 \"\"\"Split a pathname.
182 183 Return tuple (head, tail) where tail is everything after the final slash.
184 Either part may be empty.\"\"\"
--> 185 p = os.fspath(p)
186 seps = _get_bothseps(p)
187 d, p = splitdrive(p)
TypeError: expected str, bytes or os.PathLike object, not list"
}

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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

      TypeError: expected str, bytes or os.PathLike object, not list #637

      Description

      @gboscagli

      Hi all,
      first of all, I want to express my gratitude for the universe you built around single-cell data analysis.
      I'm moving to SpatialData tool and immediately found a problem reproducing this tutorial. I tried to create the path using os, Pathlib or even a list: the issue still arises. I just downloaded the zarr store as indicated in the tutorial, I just changed the tutorial_data folder name because I already had another store named like that.

      {
      "name": "TypeError",
      "message": "expected str, bytes or os.PathLike object, not list",
      "stack": "---------------------------------------------------------------------------
      TypeError Traceback (most recent call last)
      Cell In[13], line 4
      2 cosmx_dir = os.path.join(os.path.abspath(os.curdir), \"tutorial_data_sd\", \"nanostring_data\", \"data.zarr\")
      3 type(cosmx_dir)
      ----> 4 sdata = SpatialData.read(\"tutorial_data_sd/nanostring_data/data.zarr\")
      File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\spatialdata\\_core\\spatialdata.py:1160, in SpatialData.read(file_path, selection)
      1144 \"\"\"
      1145 Read a SpatialData object from a Zarr storage (on-disk or remote).
      1146 (...)
      1156 The SpatialData object.
      1157 \"\"\"
      1158 from spatialdata import read_zarr
      -> 1160 return read_zarr(file_path, selection=selection)
      File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\spatialdata\\_io\\io_zarr.py:80, in read_zarr(store, selection)
      78 f_elem = group[subgroup_name]
      79 f_elem_store = os.path.join(f_store_path, f_elem.path)
      ---> 80 element = _read_multiscale(f_elem_store, raster_type=\"image\")
      81 images[subgroup_name] = element
      82 count += 1
      File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\spatialdata\\_io\\io_raster.py:70, in _read_multiscale(store, raster_type, fmt)
      68 encoded_ngff_transformations = multiscales[0][\"coordinateTransformations\"]
      69 transformations = _get_transformations_from_ngff_dict(encoded_ngff_transformations)
      ---> 70 name = os.path.basename(node.metadata[\"name\"])
      71 # if image, read channels metadata
      72 channels: Optional[list[Any]] = None
      File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\
      tpath.py:216, in basename(p)
      214 def basename(p):
      215 \"\"\"Returns the final component of a pathname\"\"\"
      --> 216 return split(p)[1]
      File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\
      tpath.py:185, in split(p)
      180 def split(p):
      181 \"\"\"Split a pathname.
      182 183 Return tuple (head, tail) where tail is everything after the final slash.
      184 Either part may be empty.\"\"\"
      --> 185 p = os.fspath(p)
      186 seps = _get_bothseps(p)
      187 d, p = splitdrive(p)
      TypeError: expected str, bytes or os.PathLike object, not list"
      }
      

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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

          TypeError: expected str, bytes or os.PathLike object, not list #637

          Description

          @gboscagli

          Hi all,
          first of all, I want to express my gratitude for the universe you built around single-cell data analysis.
          I'm moving to SpatialData tool and immediately found a problem reproducing this tutorial. I tried to create the path using os, Pathlib or even a list: the issue still arises. I just downloaded the zarr store as indicated in the tutorial, I just changed the tutorial_data folder name because I already had another store named like that.

          {
          "name": "TypeError",
          "message": "expected str, bytes or os.PathLike object, not list",
          "stack": "---------------------------------------------------------------------------
          TypeError Traceback (most recent call last)
          Cell In[13], line 4
          2 cosmx_dir = os.path.join(os.path.abspath(os.curdir), \"tutorial_data_sd\", \"nanostring_data\", \"data.zarr\")
          3 type(cosmx_dir)
          ----> 4 sdata = SpatialData.read(\"tutorial_data_sd/nanostring_data/data.zarr\")
          File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\spatialdata\\_core\\spatialdata.py:1160, in SpatialData.read(file_path, selection)
          1144 \"\"\"
          1145 Read a SpatialData object from a Zarr storage (on-disk or remote).
          1146 (...)
          1156 The SpatialData object.
          1157 \"\"\"
          1158 from spatialdata import read_zarr
          -> 1160 return read_zarr(file_path, selection=selection)
          File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\spatialdata\\_io\\io_zarr.py:80, in read_zarr(store, selection)
          78 f_elem = group[subgroup_name]
          79 f_elem_store = os.path.join(f_store_path, f_elem.path)
          ---> 80 element = _read_multiscale(f_elem_store, raster_type=\"image\")
          81 images[subgroup_name] = element
          82 count += 1
          File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\spatialdata\\_io\\io_raster.py:70, in _read_multiscale(store, raster_type, fmt)
          68 encoded_ngff_transformations = multiscales[0][\"coordinateTransformations\"]
          69 transformations = _get_transformations_from_ngff_dict(encoded_ngff_transformations)
          ---> 70 name = os.path.basename(node.metadata[\"name\"])
          71 # if image, read channels metadata
          72 channels: Optional[list[Any]] = None
          File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\
          tpath.py:216, in basename(p)
          214 def basename(p):
          215 \"\"\"Returns the final component of a pathname\"\"\"
          --> 216 return split(p)[1]
          File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\
          tpath.py:185, in split(p)
          180 def split(p):
          181 \"\"\"Split a pathname.
          182 183 Return tuple (head, tail) where tail is everything after the final slash.
          184 Either part may be empty.\"\"\"
          --> 185 p = os.fspath(p)
          186 seps = _get_bothseps(p)
          187 d, p = splitdrive(p)
          TypeError: expected str, bytes or os.PathLike object, not list"
          }
          

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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

              TypeError: expected str, bytes or os.PathLike object, not list #637

              Description

              @gboscagli

              Hi all,
              first of all, I want to express my gratitude for the universe you built around single-cell data analysis.
              I'm moving to SpatialData tool and immediately found a problem reproducing this tutorial. I tried to create the path using os, Pathlib or even a list: the issue still arises. I just downloaded the zarr store as indicated in the tutorial, I just changed the tutorial_data folder name because I already had another store named like that.

              {
              "name": "TypeError",
              "message": "expected str, bytes or os.PathLike object, not list",
              "stack": "---------------------------------------------------------------------------
              TypeError Traceback (most recent call last)
              Cell In[13], line 4
              2 cosmx_dir = os.path.join(os.path.abspath(os.curdir), \"tutorial_data_sd\", \"nanostring_data\", \"data.zarr\")
              3 type(cosmx_dir)
              ----> 4 sdata = SpatialData.read(\"tutorial_data_sd/nanostring_data/data.zarr\")
              File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\spatialdata\\_core\\spatialdata.py:1160, in SpatialData.read(file_path, selection)
              1144 \"\"\"
              1145 Read a SpatialData object from a Zarr storage (on-disk or remote).
              1146 (...)
              1156 The SpatialData object.
              1157 \"\"\"
              1158 from spatialdata import read_zarr
              -> 1160 return read_zarr(file_path, selection=selection)
              File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\spatialdata\\_io\\io_zarr.py:80, in read_zarr(store, selection)
              78 f_elem = group[subgroup_name]
              79 f_elem_store = os.path.join(f_store_path, f_elem.path)
              ---> 80 element = _read_multiscale(f_elem_store, raster_type=\"image\")
              81 images[subgroup_name] = element
              82 count += 1
              File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\spatialdata\\_io\\io_raster.py:70, in _read_multiscale(store, raster_type, fmt)
              68 encoded_ngff_transformations = multiscales[0][\"coordinateTransformations\"]
              69 transformations = _get_transformations_from_ngff_dict(encoded_ngff_transformations)
              ---> 70 name = os.path.basename(node.metadata[\"name\"])
              71 # if image, read channels metadata
              72 channels: Optional[list[Any]] = None
              File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\
              tpath.py:216, in basename(p)
              214 def basename(p):
              215 \"\"\"Returns the final component of a pathname\"\"\"
              --> 216 return split(p)[1]
              File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\
              tpath.py:185, in split(p)
              180 def split(p):
              181 \"\"\"Split a pathname.
              182 183 Return tuple (head, tail) where tail is everything after the final slash.
              184 Either part may be empty.\"\"\"
              --> 185 p = os.fspath(p)
              186 seps = _get_bothseps(p)
              187 d, p = splitdrive(p)
              TypeError: expected str, bytes or os.PathLike object, not list"
              }
              

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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

                  TypeError: expected str, bytes or os.PathLike object, not list #637

                  Description

                  @gboscagli

                  Hi all,
                  first of all, I want to express my gratitude for the universe you built around single-cell data analysis.
                  I'm moving to SpatialData tool and immediately found a problem reproducing this tutorial. I tried to create the path using os, Pathlib or even a list: the issue still arises. I just downloaded the zarr store as indicated in the tutorial, I just changed the tutorial_data folder name because I already had another store named like that.

                  {
                  "name": "TypeError",
                  "message": "expected str, bytes or os.PathLike object, not list",
                  "stack": "---------------------------------------------------------------------------
                  TypeError Traceback (most recent call last)
                  Cell In[13], line 4
                  2 cosmx_dir = os.path.join(os.path.abspath(os.curdir), \"tutorial_data_sd\", \"nanostring_data\", \"data.zarr\")
                  3 type(cosmx_dir)
                  ----> 4 sdata = SpatialData.read(\"tutorial_data_sd/nanostring_data/data.zarr\")
                  File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\spatialdata\\_core\\spatialdata.py:1160, in SpatialData.read(file_path, selection)
                  1144 \"\"\"
                  1145 Read a SpatialData object from a Zarr storage (on-disk or remote).
                  1146 (...)
                  1156 The SpatialData object.
                  1157 \"\"\"
                  1158 from spatialdata import read_zarr
                  -> 1160 return read_zarr(file_path, selection=selection)
                  File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\spatialdata\\_io\\io_zarr.py:80, in read_zarr(store, selection)
                  78 f_elem = group[subgroup_name]
                  79 f_elem_store = os.path.join(f_store_path, f_elem.path)
                  ---> 80 element = _read_multiscale(f_elem_store, raster_type=\"image\")
                  81 images[subgroup_name] = element
                  82 count += 1
                  File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\spatialdata\\_io\\io_raster.py:70, in _read_multiscale(store, raster_type, fmt)
                  68 encoded_ngff_transformations = multiscales[0][\"coordinateTransformations\"]
                  69 transformations = _get_transformations_from_ngff_dict(encoded_ngff_transformations)
                  ---> 70 name = os.path.basename(node.metadata[\"name\"])
                  71 # if image, read channels metadata
                  72 channels: Optional[list[Any]] = None
                  File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\
                  tpath.py:216, in basename(p)
                  214 def basename(p):
                  215 \"\"\"Returns the final component of a pathname\"\"\"
                  --> 216 return split(p)[1]
                  File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\
                  tpath.py:185, in split(p)
                  180 def split(p):
                  181 \"\"\"Split a pathname.
                  182 183 Return tuple (head, tail) where tail is everything after the final slash.
                  184 Either part may be empty.\"\"\"
                  --> 185 p = os.fspath(p)
                  186 seps = _get_bothseps(p)
                  187 d, p = splitdrive(p)
                  TypeError: expected str, bytes or os.PathLike object, not list"
                  }
                  

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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

                      TypeError: expected str, bytes or os.PathLike object, not list #637

                      Description

                      @gboscagli

                      Hi all,
                      first of all, I want to express my gratitude for the universe you built around single-cell data analysis.
                      I'm moving to SpatialData tool and immediately found a problem reproducing this tutorial. I tried to create the path using os, Pathlib or even a list: the issue still arises. I just downloaded the zarr store as indicated in the tutorial, I just changed the tutorial_data folder name because I already had another store named like that.

                      {
                      "name": "TypeError",
                      "message": "expected str, bytes or os.PathLike object, not list",
                      "stack": "---------------------------------------------------------------------------
                      TypeError Traceback (most recent call last)
                      Cell In[13], line 4
                      2 cosmx_dir = os.path.join(os.path.abspath(os.curdir), \"tutorial_data_sd\", \"nanostring_data\", \"data.zarr\")
                      3 type(cosmx_dir)
                      ----> 4 sdata = SpatialData.read(\"tutorial_data_sd/nanostring_data/data.zarr\")
                      File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\spatialdata\\_core\\spatialdata.py:1160, in SpatialData.read(file_path, selection)
                      1144 \"\"\"
                      1145 Read a SpatialData object from a Zarr storage (on-disk or remote).
                      1146 (...)
                      1156 The SpatialData object.
                      1157 \"\"\"
                      1158 from spatialdata import read_zarr
                      -> 1160 return read_zarr(file_path, selection=selection)
                      File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\spatialdata\\_io\\io_zarr.py:80, in read_zarr(store, selection)
                      78 f_elem = group[subgroup_name]
                      79 f_elem_store = os.path.join(f_store_path, f_elem.path)
                      ---> 80 element = _read_multiscale(f_elem_store, raster_type=\"image\")
                      81 images[subgroup_name] = element
                      82 count += 1
                      File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\spatialdata\\_io\\io_raster.py:70, in _read_multiscale(store, raster_type, fmt)
                      68 encoded_ngff_transformations = multiscales[0][\"coordinateTransformations\"]
                      69 transformations = _get_transformations_from_ngff_dict(encoded_ngff_transformations)
                      ---> 70 name = os.path.basename(node.metadata[\"name\"])
                      71 # if image, read channels metadata
                      72 channels: Optional[list[Any]] = None
                      File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\
                      tpath.py:216, in basename(p)
                      214 def basename(p):
                      215 \"\"\"Returns the final component of a pathname\"\"\"
                      --> 216 return split(p)[1]
                      File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\
                      tpath.py:185, in split(p)
                      180 def split(p):
                      181 \"\"\"Split a pathname.
                      182 183 Return tuple (head, tail) where tail is everything after the final slash.
                      184 Either part may be empty.\"\"\"
                      --> 185 p = os.fspath(p)
                      186 seps = _get_bothseps(p)
                      187 d, p = splitdrive(p)
                      TypeError: expected str, bytes or os.PathLike object, not list"
                      }
                      

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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('^' + ".*" + '
                          Skip to content

                          TypeError: expected str, bytes or os.PathLike object, not list #637

                          Description

                          @gboscagli

                          Hi all,
                          first of all, I want to express my gratitude for the universe you built around single-cell data analysis.
                          I'm moving to SpatialData tool and immediately found a problem reproducing this tutorial. I tried to create the path using os, Pathlib or even a list: the issue still arises. I just downloaded the zarr store as indicated in the tutorial, I just changed the tutorial_data folder name because I already had another store named like that.

                          {
                          "name": "TypeError",
                          "message": "expected str, bytes or os.PathLike object, not list",
                          "stack": "---------------------------------------------------------------------------
                          TypeError Traceback (most recent call last)
                          Cell In[13], line 4
                          2 cosmx_dir = os.path.join(os.path.abspath(os.curdir), \"tutorial_data_sd\", \"nanostring_data\", \"data.zarr\")
                          3 type(cosmx_dir)
                          ----> 4 sdata = SpatialData.read(\"tutorial_data_sd/nanostring_data/data.zarr\")
                          File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\spatialdata\\_core\\spatialdata.py:1160, in SpatialData.read(file_path, selection)
                          1144 \"\"\"
                          1145 Read a SpatialData object from a Zarr storage (on-disk or remote).
                          1146 (...)
                          1156 The SpatialData object.
                          1157 \"\"\"
                          1158 from spatialdata import read_zarr
                          -> 1160 return read_zarr(file_path, selection=selection)
                          File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\spatialdata\\_io\\io_zarr.py:80, in read_zarr(store, selection)
                          78 f_elem = group[subgroup_name]
                          79 f_elem_store = os.path.join(f_store_path, f_elem.path)
                          ---> 80 element = _read_multiscale(f_elem_store, raster_type=\"image\")
                          81 images[subgroup_name] = element
                          82 count += 1
                          File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\spatialdata\\_io\\io_raster.py:70, in _read_multiscale(store, raster_type, fmt)
                          68 encoded_ngff_transformations = multiscales[0][\"coordinateTransformations\"]
                          69 transformations = _get_transformations_from_ngff_dict(encoded_ngff_transformations)
                          ---> 70 name = os.path.basename(node.metadata[\"name\"])
                          71 # if image, read channels metadata
                          72 channels: Optional[list[Any]] = None
                          File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\
                          tpath.py:216, in basename(p)
                          214 def basename(p):
                          215 \"\"\"Returns the final component of a pathname\"\"\"
                          --> 216 return split(p)[1]
                          File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\
                          tpath.py:185, in split(p)
                          180 def split(p):
                          181 \"\"\"Split a pathname.
                          182 183 Return tuple (head, tail) where tail is everything after the final slash.
                          184 Either part may be empty.\"\"\"
                          --> 185 p = os.fspath(p)
                          186 seps = _get_bothseps(p)
                          187 d, p = splitdrive(p)
                          TypeError: expected str, bytes or os.PathLike object, not list"
                          }
                          

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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

                              TypeError: expected str, bytes or os.PathLike object, not list #637

                              Description

                              @gboscagli

                              Hi all,
                              first of all, I want to express my gratitude for the universe you built around single-cell data analysis.
                              I'm moving to SpatialData tool and immediately found a problem reproducing this tutorial. I tried to create the path using os, Pathlib or even a list: the issue still arises. I just downloaded the zarr store as indicated in the tutorial, I just changed the tutorial_data folder name because I already had another store named like that.

                              {
                              "name": "TypeError",
                              "message": "expected str, bytes or os.PathLike object, not list",
                              "stack": "---------------------------------------------------------------------------
                              TypeError Traceback (most recent call last)
                              Cell In[13], line 4
                              2 cosmx_dir = os.path.join(os.path.abspath(os.curdir), \"tutorial_data_sd\", \"nanostring_data\", \"data.zarr\")
                              3 type(cosmx_dir)
                              ----> 4 sdata = SpatialData.read(\"tutorial_data_sd/nanostring_data/data.zarr\")
                              File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\spatialdata\\_core\\spatialdata.py:1160, in SpatialData.read(file_path, selection)
                              1144 \"\"\"
                              1145 Read a SpatialData object from a Zarr storage (on-disk or remote).
                              1146 (...)
                              1156 The SpatialData object.
                              1157 \"\"\"
                              1158 from spatialdata import read_zarr
                              -> 1160 return read_zarr(file_path, selection=selection)
                              File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\spatialdata\\_io\\io_zarr.py:80, in read_zarr(store, selection)
                              78 f_elem = group[subgroup_name]
                              79 f_elem_store = os.path.join(f_store_path, f_elem.path)
                              ---> 80 element = _read_multiscale(f_elem_store, raster_type=\"image\")
                              81 images[subgroup_name] = element
                              82 count += 1
                              File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\spatialdata\\_io\\io_raster.py:70, in _read_multiscale(store, raster_type, fmt)
                              68 encoded_ngff_transformations = multiscales[0][\"coordinateTransformations\"]
                              69 transformations = _get_transformations_from_ngff_dict(encoded_ngff_transformations)
                              ---> 70 name = os.path.basename(node.metadata[\"name\"])
                              71 # if image, read channels metadata
                              72 channels: Optional[list[Any]] = None
                              File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\
                              tpath.py:216, in basename(p)
                              214 def basename(p):
                              215 \"\"\"Returns the final component of a pathname\"\"\"
                              --> 216 return split(p)[1]
                              File c:\\Users\\Gabriele\\AppData\\Local\\Programs\\Python\\Python39\\lib\
                              tpath.py:185, in split(p)
                              180 def split(p):
                              181 \"\"\"Split a pathname.
                              182 183 Return tuple (head, tail) where tail is everything after the final slash.
                              184 Either part may be empty.\"\"\"
                              --> 185 p = os.fspath(p)
                              186 seps = _get_bothseps(p)
                              187 d, p = splitdrive(p)
                              TypeError: expected str, bytes or os.PathLike object, not list"
                              }
                              

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