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‎blog/2025-anndata-012/index.html‎

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Why? Because now your dataframes can be lazy too thanks to support from <a href=https://docs.xarray.dev/en/stable/user-guide/index.html>xarray</a>!</p><p>Now you can instantly and lazily inspect entire anndata stores both locally and remotely for metadata, and then fetch only subsets you need.
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Mix this with zarr v3 for performant, fully lazy, fully remote (if needed) access! Want to create a new virtual in-memory anndata objects from many disparate on-disk stores? This new functionality is fully compatible with <a href=https://anndata.readthedocs.io/en/latest/generated/anndata.concat.html><code>anndata.concat</code></a>.</p><p>Check out <a href=https://anndata.readthedocs.io/en/stable/tutorials/notebooks/read_lazy.html>our notebook</a> to learn more about the API – thanks to <a href=https://hidivelab.org/>Nils Gehlenborg’s HIDIVE lab</a> for hosting the data, and be sure to check out the <a href=https://tinyurl.com/jtan4nx7>Vitessce visualisation</a> of the very same data backing the notebook.
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This dual-access really showcases the power of smart remote data access!</p><h2 id=customizable-api>Customizable API</h2><p>And if that wasn’t enough, we now have <a href=https://anndata.readthedocs.io/en/latest/generated/anndata.register_anndata_namespace.html>a new way of extending the anndata API</a> contributed by one of our community members, Sri Varra.
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This contribution lets users extend the <code>AnnData</code> API easily, great for tinkering with new APIs and features but also for writing new methods directly into the <code>AnnData</code> object:</p><div class=highlight><pre tabindex=0 style=color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-python data-lang=python><span style=display:flex><span><span style=color:#f92672>import</span> anndata <span style=color:#66d9ef>as</span> ad
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This contribution lets users extend the <code>AnnData</code> API easily, great for tinkering with new APIs and features but also for writing new methods directly into the <code>AnnData</code> object:</p><div class=highlight><pre tabindex=0 style=color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4;-webkit-text-size-adjust:none><code class=language-python data-lang=python><span style=display:flex><span><span style=color:#f92672>import</span> anndata <span style=color:#66d9ef>as</span> ad
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</span></span><span style=display:flex><span>
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</span></span><span style=display:flex><span><span style=color:#a6e22e>@ad.register_anndata_namespace</span>(<span style=color:#e6db74>&#34;my_accessor&#34;</span>)
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</span></span><span style=display:flex><span><span style=color:#66d9ef>class</span> <span style=color:#a6e22e>Greetings</span>:

‎index.html‎

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