diff --git a/docs/index.md b/docs/index.md index 8b5f298..69056a2 100644 --- a/docs/index.md +++ b/docs/index.md @@ -6,10 +6,10 @@ :hidden: true :maxdepth: 1 +notebooks/getting-started + api.md changelog.md contributing.md references.md - -notebooks/example ``` diff --git a/docs/notebooks/example.ipynb b/docs/notebooks/example.ipynb deleted file mode 100644 index cea743a..0000000 --- a/docs/notebooks/example.ipynb +++ /dev/null @@ -1,76 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Example notebook" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "from anndata import AnnData" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "adata = AnnData(np.random.normal(size=(20, 10)))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "With myst it is possible to link in the text cell of a notebook such as this one the documentation of a function or a class.\n", - "\n", - "Let's take as an example the function {func}`treedata.pp.basic_preproc`. \n", - "You can see that by clicking on the text, the link redirects to the API documentation of the function. \n", - "Check the raw markdown of this cell to understand how this is specified.\n", - "\n", - "This works also for any package listed by `intersphinx`. Go to `docs/conf.py` and look for the `intersphinx_mapping` variable. \n", - "There, you will see a list of packages (that this package is dependent on) for which this functionality is supported. \n", - "\n", - "For instance, we can link to the class {class}`anndata.AnnData`, to the attribute {attr}`anndata.AnnData.obs` or the method {meth}`anndata.AnnData.write`.\n", - "\n", - "Again, check the raw markdown of this cell to see how each of these links are specified.\n", - "\n", - "You can read more about this in the [intersphinx page](https://www.sphinx-doc.org/en/master/usage/extensions/intersphinx.html) and the [myst page](https://myst-parser.readthedocs.io/en/v0.15.1/syntax/syntax.html#roles-an-in-line-extension-point)." - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.9.12 ('squidpy39')", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.3" - }, - "vscode": { - "interpreter": { - "hash": "ae6466e8d4f517858789b5c9e8f0ed238fb8964458a36305fca7bddc149e9c64" - } - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/docs/notebooks/getting-started.ipynb b/docs/notebooks/getting-started.ipynb new file mode 100755 index 0000000..741182f --- /dev/null +++ b/docs/notebooks/getting-started.ipynb @@ -0,0 +1,705 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Getting started with treedata\n", + "\n", + "{class}`treedata.TreeData` is a lightweight wrapper around {class}`anndata.AnnData` which adds two additional attributes, `obst` and `vart`, to store trees for observations and variables. " + ] + }, + { + "cell_type": "code", + "execution_count": 145, + "metadata": {}, + "outputs": [], + "source": [ + "import networkx as nx\n", + "import numpy as np\n", + "import pandas as pd\n", + "import scanpy as sc\n", + "import treedata as td\n", + "import matplotlib.pyplot as plt\n", + "import random" + ] + }, + { + "cell_type": "code", + "execution_count": 146, + "metadata": {}, + "outputs": [], + "source": [ + "def plot_tree(tree, color_attr=None):\n", + " \"\"\"Helper function for plotting trees.\"\"\"\n", + " plt.figure(figsize=(6, 3))\n", + " node_colors = \"lightgrey\" if color_attr is None else [tree.nodes[node].get(color_attr) for node in tree.nodes()]\n", + " pos = nx.drawing.nx_agraph.graphviz_layout(tree, prog=\"dot\")\n", + " nx.draw(tree, pos, with_labels=False, node_size=100, node_color=node_colors)\n", + " leaf_nodes = [node for node in tree.nodes() if tree.out_degree(node) == 0]\n", + " for node, (x, y) in pos.items():\n", + " if node in leaf_nodes:\n", + " plt.text(x, y + 10, s=node, rotation=90, fontsize=6, ha=\"center\", va=\"top\")\n", + " else:\n", + " plt.text(x, y, s=node, fontsize=6, ha=\"center\", va=\"center\")\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Initializing TreeData\n", + "\n", + "A `TreeData` object is initialized just like an `AnnData` object. Let's create a `TreeData` object with 32 cells and 100 genes. " + ] + }, + { + "cell_type": "code", + "execution_count": 151, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "TreeData object with n_obs × n_vars = 32 × 100" + ] + }, + "execution_count": 151, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "counts = pd.DataFrame(\n", + " np.random.normal(size=(32, 100)),\n", + " index=[f\"Cell_{i:d}\" for i in range(32)],\n", + " columns=[f\"Gene_{i:d}\" for i in range(100)],\n", + ")\n", + "tdata = td.TreeData(counts)\n", + "tdata" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, suppose we have an `nx.DiGraph` tree representing relationships between cells, perhaps from a lineage tracing experiment" + ] + }, + { + "cell_type": "code", + "execution_count": 152, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "tree = nx.balanced_tree(r=2, h=5, create_using=nx.DiGraph)\n", + "leaves = [i for i in tree.nodes if tree.out_degree(i) == 0]\n", + "tree = nx.relabel_nodes(tree, {j: f\"Cell_{i}\" for i, j in enumerate(leaves)})\n", + "nx.set_node_attributes(tree, \"lightblue\", \"color\")\n", + "plot_tree(tree, \"color\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can store this tree in the `obst` attribute of the `TreeData` object" + ] + }, + { + "cell_type": "code", + "execution_count": 153, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "TreeData object with n_obs × n_vars = 32 × 100\n", + " obs: 'tree'\n", + " obst: 'lineage'" + ] + }, + "execution_count": 153, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tdata.obst[\"lineage\"] = tree\n", + "tdata" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The `obs` dataframe now contains a column with tree membership" + ] + }, + { + "cell_type": "code", + "execution_count": 154, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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\n", + "
" + ], + "text/plain": [ + " tree\n", + "Cell_0 lineage\n", + "Cell_1 lineage\n", + "Cell_2 lineage\n", + "Cell_3 lineage\n", + "Cell_4 lineage" + ] + }, + "execution_count": 154, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tdata.obs.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Subsetting TreeData" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Similar to `AnnData`, we can subset `TreeData` along the `obs` and `var` axes, which provides a view of the `TreeData` object." + ] + }, + { + "cell_type": "code", + "execution_count": 155, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "View of TreeData object with n_obs × n_vars = 4 × 2\n", + " obs: 'tree'\n", + " obst: 'lineage'" + ] + }, + "execution_count": 155, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tdata_subset = tdata[[\"Cell_0\", \"Cell_1\", \"Cell_2\", \"Cell_10\"], [\"Gene_5\", \"Gene_19\"]]\n", + "tdata_subset" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Just like `obs` and `obsm` annotations, the trees stored in `obst` are subset along with the data. Specifically, a subtree is created with the selected leaves and their ancestors." + ] + }, + { + "cell_type": "code", + "execution_count": 156, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_tree(tdata_subset.obst[\"lineage\"], \"color\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Since the subtree is a view of the original tree, changes to node attributes in the subtree will be reflected in the original tree." + ] + }, + { + "cell_type": "code", + "execution_count": 157, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "nx.set_node_attributes(tdata_subset.obst[\"lineage\"], \"lightgreen\", \"color\")\n", + "plot_tree(tdata.obst[\"lineage\"], \"color\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Views and copies" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "`TreeData` views such as `tdata_subset` store a reference to the original data" + ] + }, + { + "cell_type": "code", + "execution_count": 159, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "View of TreeData object with n_obs × n_vars = 20 × 100\n", + " obs: 'tree'\n", + " obst: 'lineage'" + ] + }, + "execution_count": 159, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tdata_subset = tdata[:20, :]\n", + "tdata_subset" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If we want a `TreeData` object with its own copy of the data, we can use the `copy` method." + ] + }, + { + "cell_type": "code", + "execution_count": 160, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "TreeData object with n_obs × n_vars = 20 × 100\n", + " obs: 'tree'\n", + " obst: 'lineage'" + ] + }, + "execution_count": 160, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tdata_subset.copy()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If we add new data to `tdata_subset`, it can no longer be a reference to `tdata`, so it auto-copies generating a data-storing object." + ] + }, + { + "cell_type": "code", + "execution_count": 161, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_2684450/2560538419.py:1: ImplicitModificationWarning: Trying to modify attribute `.obs` of view, initializing view as actual.\n", + " tdata_subset.obs[\"foo\"] = \"bar\"\n" + ] + }, + { + "data": { + "text/plain": [ + "TreeData object with n_obs × n_vars = 20 × 100\n", + " obs: 'tree', 'foo'\n", + " obst: 'lineage'" + ] + }, + "execution_count": 161, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tdata_subset.obs[\"foo\"] = \"bar\"\n", + "tdata_subset" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The toplogy of trees stored in `obst` and `vart` is frozen so you cannot add/remove nodes or edges. However, you can change node attributes. " + ] + }, + { + "cell_type": "code", + "execution_count": 162, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Frozen graph can't be modified\n" + ] + } + ], + "source": [ + "try:\n", + " tdata.obst[\"lineage\"].remove_node(\"Cell_0\")\n", + "except nx.NetworkXError as e:\n", + " print(e)\n", + "tdata.obst[\"lineage\"].nodes[\"Cell_1\"][\"color\"] = \"plum\"" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If you need to change the topology of the tree, you can create a copy, modify the tree, and then assign it back to the `obst` attribute." + ] + }, + { + "cell_type": "code", + "execution_count": 163, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "tree = tdata.obst[\"lineage\"].copy()\n", + "tree.remove_node(\"Cell_0\")\n", + "tdata.obst[\"lineage\"] = tree\n", + "plot_tree(tdata.obst[\"lineage\"], \"color\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Multiple trees\n", + "\n", + "`TreeData` can store multiple observation and variable trees in the `obst` and `vart` attributes. The only requirement is that leaf nodes need to be a subset of the `obs` and `var` axes. As an example, we'll create two variable trees which could represent a hierarchical clustering of genes." + ] + }, + { + "cell_type": "code", + "execution_count": 164, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "tree = nx.balanced_tree(r=2, h=5, create_using=nx.DiGraph)\n", + "genes_1 = random.sample(list(tdata.var_names), 32)\n", + "genes_2 = random.sample(list(tdata.var_names), 32)\n", + "tree_1 = nx.relabel_nodes(tree.copy(), {i + 31: j for i, j in enumerate(genes_1)})\n", + "tree_2 = nx.relabel_nodes(tree.copy(), {i + 31: j for i, j in enumerate(genes_2)})\n", + "plot_tree(tree_1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "By default `TreeData` does not allow trees to have overlapping leaves. This is enforced by the `TreeData` object when adding trees to the `obst` attribute." + ] + }, + { + "cell_type": "code", + "execution_count": 165, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Leaf names overlap with leaf names of other trees. Set `allow_overlap=True` to allow this\n" + ] + } + ], + "source": [ + "try:\n", + " tdata.vart[\"clustering_1\"] = tree_1\n", + " tdata.vart[\"clustering_2\"] = tree_2\n", + "except ValueError as e:\n", + " print(e)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If we want overlapping trees, we can set `allow_overlapping_leaves` to `True` when creating the `TreeData` object." + ] + }, + { + "cell_type": "code", + "execution_count": 168, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "TreeData object with n_obs × n_vars = 32 × 100\n", + " var: 'cluster_membership'\n", + " vart: 'clustering_1', 'clustering_2'" + ] + }, + "execution_count": 168, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tdata = td.TreeData(counts, allow_overlap=True, label=\"cluster_membership\")\n", + "tdata.vart[\"clustering_1\"] = tree_1\n", + "tdata.vart[\"clustering_2\"] = tree_2\n", + "tdata" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The label column in the `var` dataframe now contains a list of tree memberships with some genes belonging to both trees." + ] + }, + { + "cell_type": "code", + "execution_count": 169, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "cluster_membership\n", + "[] 49\n", + "[clustering_1] 19\n", + "[clustering_2] 19\n", + "[clustering_1, clustering_2] 13\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 169, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tdata.var[\"cluster_membership\"].value_counts()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Scverse integration" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Since the `TreeData`object has the same interface as the `AnnData` object, it can be used anywhere `AnnData` is used, including with `scverse` packages like `scanpy` and `squidpy`." + ] + }, + { + "cell_type": "code", + "execution_count": 170, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/wcolgan/miniconda3/envs/td-env/lib/python3.10/site-packages/scanpy/plotting/_tools/scatterplots.py:394: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap', 'norm' will be ignored\n", + " cax = scatter(\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sc.tl.pca(tdata, svd_solver=\"arpack\")\n", + "sc.pl.pca(tdata, size=100, na_color=\"tab:blue\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "And if you ever need to convert a `TreeData` object to an `AnnData` object, you can use the `to_adata` method." + ] + }, + { + "cell_type": "code", + "execution_count": 171, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "AnnData object with n_obs × n_vars = 32 × 100\n", + " var: 'cluster_membership'\n", + " uns: 'pca'\n", + " obsm: 'X_pca'\n", + " varm: 'PCs'" + ] + }, + "execution_count": 171, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "adata = tdata.to_adata()\n", + "adata" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "td-env", + "language": "python", + "name": "td-env" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.13" + }, + "vscode": { + "interpreter": { + "hash": "ae6466e8d4f517858789b5c9e8f0ed238fb8964458a36305fca7bddc149e9c64" + } + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/src/treedata/_core/aligned_mapping.py b/src/treedata/_core/aligned_mapping.py index 7410309..3efe2c6 100755 --- a/src/treedata/_core/aligned_mapping.py +++ b/src/treedata/_core/aligned_mapping.py @@ -72,7 +72,7 @@ def _validate_tree(self, tree: nx.DiGraph, key: str) -> nx.DiGraph: new_leaves = leaves if new_leaves.intersection(self._leaf_to_tree.keys()): raise ValueError( - "Leaf names overlap with leaf names of other trees.", "Set `allow_overlap=True` to allow this" + "Leaf names overlap with leaf names of other trees. Set `allow_overlap=True` to allow this." ) return tree, leaves