diff --git a/CHANGELOG.md b/CHANGELOG.md index b844926..e63f28a 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -14,11 +14,22 @@ and this project adheres to [Semantic Versioning][]. ### Changed +### Fixed + +## [0.0.3] - 2024-08-21 + +### Added + +- Add concatenation tutorial to documentation (#27) + +### Changed + - `obst` and `vart` create local copy of `nx.DiGraphs` that are added (#26) +- `TreeData.label` value remains the same after `td.concat` as long as all `label` values are the same for all objects (#27) ### Fixed -- Fixed bug which caused key to be listed twice in `tree_label` column after value update in `obst` or `vart` (#26) +- Fixed bug which caused key to be listed twice in `label` column after value update in `obst` or `vart` (#26) ## [0.0.2] - 2024-06-18 diff --git a/docs/index.md b/docs/index.md index 69056a2..0c2cbeb 100644 --- a/docs/index.md +++ b/docs/index.md @@ -9,6 +9,9 @@ notebooks/getting-started api.md + +notebooks/concatenation + changelog.md contributing.md references.md diff --git a/docs/notebooks/concatenation.ipynb b/docs/notebooks/concatenation.ipynb new file mode 100755 index 0000000..9344656 --- /dev/null +++ b/docs/notebooks/concatenation.ipynb @@ -0,0 +1,527 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Concatenation\n", + "\n", + "With {func}`treedata.concat`, {class}`treedata.TreeData` objects can be combined via a composition of two operations: concatenation and merging.\n", + "\n", + "Concatenation is when we keep all sub elements of each object, and stack these elements in an ordered way.\n", + "\n", + "Merging is combining a set of collections into one resulting collection which contains elements from the objects.\n", + "\n", + "This logic is identical to {func}`anndata.concat` so you should check out the the anndata concatenation [tutorial](https://anndata.readthedocs.io/en/latest/concatenation.html) to understand the basics. This tutorial will focus on how the `obst` and `vart` fields in `TreeData` objects are handled during concatenation and merging." + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [], + "source": [ + "import networkx as nx\n", + "import numpy as np\n", + "import pandas as pd\n", + "import treedata as td\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "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": [ + "## Concatenation\n", + "\n", + "Let's start by creating a `TreeData` object with 32 observations and 32 variables with a tree aligned to each axis." + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [], + "source": [ + "counts = pd.DataFrame(\n", + " np.random.normal(size=(32, 32)),\n", + " index=[f\"Obs_{i:d}\" for i in range(32)],\n", + " columns=[f\"Var_{i:d}\" for i in range(32)],\n", + ")\n", + "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", + "obs_tree = nx.relabel_nodes(tree, {j: f\"Obs_{i}\" for i, j in enumerate(leaves)})\n", + "var_tree = nx.relabel_nodes(tree, {j: f\"Var_{i}\" for i, j in enumerate(leaves)})\n", + "tdata = td.TreeData(counts, obst={\"tree\": obs_tree}, vart={\"tree\": var_tree}, label=None)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "When we split the the `TreeData` along the observations axis, each tree in `obst` is a subtree of the original `obst` value while each tree in `vart` remains unchanged." + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "View of TreeData object with n_obs × n_vars = 16 × 32\n", + " obst: 'tree'\n", + " vart: 'tree'" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tdata1 = tdata[:16]\n", + "tdata2 = tdata[16:]\n", + "plot_tree(tdata1.obst[\"tree\"])\n", + "tdata1" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If we then concatenate the two `TreeData` objects along the observations axis, each tree in the `obst` field is generated by combining the trees with that key. In this case, it is the original tree since we have not modified any of the `obst` values." + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "TreeData object with n_obs × n_vars = 32 × 32\n", + " obst: 'tree'" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tdata_concat = td.concat([tdata1, tdata2], axis=0)\n", + "plot_tree(tdata_concat.obst[\"tree\"])\n", + "tdata_concat" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "But if we were to remove the observation tree in `tdata1`, the tree in the concatenated `obst` field would be the tree in `tdata2`." + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_2077019/2280984650.py:1: UserWarning: Removing element `.obst['tree']` of view, initializing view as actual.\n", + " del tdata1.obst[\"tree\"]\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "TreeData object with n_obs × n_vars = 32 × 16\n", + " obst: 'tree'" + ] + }, + "execution_count": 75, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "del tdata1.obst[\"tree\"]\n", + "tdata_concat = td.concat([tdata1, tdata2], axis=0)\n", + "plot_tree(tdata_concat.obst[\"tree\"])\n", + "tdata_concat" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You may have noticed that there is no tree in the `vart` field of the concatenated `TreeData` object which leads us to an explanation of the merging operation." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Merging" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Combining elements not aligned to the axis of concatenation is controlled through the `merge` argument. We provide a few strategies for merging elements aligned to the alternative axes:\n", + "\n", + "`None`: No elements aligned to alternative axes are present in the result object.\n", + "\n", + "`\"same\"`: Elements that are the same in each of the objects.\n", + "\n", + "`\"unique\"`: Elements for which there is only one possible value.\n", + "\n", + "`\"first\"`: The first element seen in each from each position.\n", + "\n", + "`\"only\"`: Elements that show up in only one of the objects." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The default `merge` strategy is `None` which is why the `vart` field is empty in the concatenated `TreeData` object. " + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "TreeData object with n_obs × n_vars = 32 × 32\n", + " obst: 'tree'" + ] + }, + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tdata1 = tdata[:16]\n", + "tdata2 = tdata[16:]\n", + "tdata_concat = td.concat([tdata1, tdata2], axis=0)\n", + "tdata_concat" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "But if we set `merge=\"same\"`, the `vart` field will contain the tree since `tdata1.vart['tree']` and `tdata2.vart['tree']` are the same." + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "TreeData object with n_obs × n_vars = 32 × 32\n", + " obst: 'tree'\n", + " vart: 'tree'" + ] + }, + "execution_count": 78, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tdata_concat = td.concat([tdata1, tdata2], axis=0, merge=\"same\")\n", + "plot_tree(tdata_concat.vart[\"tree\"])\n", + "tdata_concat" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Alternatively, if the trees were not the same, we could set `merge=\"first\"` to keep the tree in `tdata1.vart['tree']`." + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_2077019/3779025952.py:1: UserWarning: Setting element `.vart['tree']` of view, initializing view as actual.\n", + " tdata1.vart[\"tree\"] = nx.relabel_nodes(tdata1.vart[\"tree\"],{0: \"root\"})\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "TreeData object with n_obs × n_vars = 32 × 32\n", + " obst: 'tree'\n", + " vart: 'tree'" + ] + }, + "execution_count": 79, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tdata1.vart[\"tree\"] = nx.relabel_nodes(tdata1.vart[\"tree\"], {0: \"root\"})\n", + "tdata_concat = td.concat([tdata1, tdata2], axis=0, merge=\"first\")\n", + "plot_tree(tdata_concat.vart[\"tree\"])\n", + "tdata_concat" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Inner and outer joins" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "When the variables present in the objects to be concatenated aren’t exactly the same, you can choose to take either the intersection or union of these variables. This is otherwise called taking the `\"inner\"` (intersection) or `\"outer\"` (union) join. For example, given two `TreeData` objects with differing variables:" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "tdata1 var_names Index(['Var_0', 'Var_1', 'Var_2', 'Var_3', 'Var_4', 'Var_5', 'Var_6', 'Var_7',\n", + " 'Var_8', 'Var_9', 'Var_10', 'Var_11', 'Var_12', 'Var_13', 'Var_14',\n", + " 'Var_15', 'Var_16', 'Var_17', 'Var_18', 'Var_19', 'Var_20', 'Var_21',\n", + " 'Var_22', 'Var_23'],\n", + " dtype='object')\n", + "tdata2 var_names Index(['Var_8', 'Var_9', 'Var_10', 'Var_11', 'Var_12', 'Var_13', 'Var_14',\n", + " 'Var_15', 'Var_16', 'Var_17', 'Var_18', 'Var_19', 'Var_20', 'Var_21',\n", + " 'Var_22', 'Var_23', 'Var_24', 'Var_25', 'Var_26', 'Var_27', 'Var_28',\n", + " 'Var_29', 'Var_30', 'Var_31'],\n", + " dtype='object')\n" + ] + } + ], + "source": [ + "tdata1 = tdata[:16, :24]\n", + "tdata2 = tdata[16:, 8:]\n", + "print(\"tdata1 var_names\", tdata1.var_names)\n", + "print(\"tdata2 var_names\", tdata2.var_names)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "When `join=\"inner\"` and `merge=\"first\"`, the resulting `TreeData` object will contain only the variables present in both objects and the `vart` field will contain the tree from `tdata1` subset to this set of variables." + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "TreeData object with n_obs × n_vars = 32 × 16\n", + " obst: 'tree'\n", + " vart: 'tree'" + ] + }, + "execution_count": 81, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tdata_inner = td.concat([tdata1, tdata2], axis=0, join=\"inner\", merge=\"first\")\n", + "plot_tree(tdata_inner.vart[\"tree\"])\n", + "tdata_inner" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "When join=\"outer\" and merge=\"first\", the resulting `TreeData` object will contain all variables present in either object and the `vart` field will contain the tree from `tdata1`." + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "TreeData object with n_obs × n_vars = 32 × 32\n", + " obst: 'tree'\n", + " vart: 'tree'" + ] + }, + "execution_count": 82, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tdata_outer = td.concat([tdata1, tdata2], axis=0, join=\"outer\", merge=\"first\")\n", + "plot_tree(tdata_outer.vart[\"tree\"])\n", + "tdata_outer" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As you can see trees are not combined along the alternate axis during concatenation. If you wish to combine trees along a particular axis, you need to specify it as the concatenation axis. For example, if you want to combine `vart` trees, you should concatenate along the variables axis (`axis = 1`)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + } + ], + "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/pyproject.toml b/pyproject.toml index 9670c4d..391222f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ requires = ["hatchling"] [project] name = "treedata" -version = "0.0.2" +version = "0.0.3" description = "anndata with trees" readme = "README.md" requires-python = ">=3.10" diff --git a/src/treedata/_core/merge.py b/src/treedata/_core/merge.py index 85516b6..35ae62b 100755 --- a/src/treedata/_core/merge.py +++ b/src/treedata/_core/merge.py @@ -3,6 +3,7 @@ from __future__ import annotations import typing +import warnings from collections.abc import ( Callable, Collection, @@ -100,7 +101,16 @@ def concat( fill_value=fill_value, pairwise=pairwise, ) - tdata = TreeData(adata, allow_overlap=True) + + # Create new TreeData object + label = {t.label for t in tdatas if t.label is not None} + if len(label) > 1: + warnings.warn("Multiple label values found. Setting to `tree`.", stacklevel=2) + label = "tree" + else: + label = next(iter(label), None) + allow_overlap = any(t.allow_overlap for t in tdatas) + tdata = TreeData(adata, allow_overlap=allow_overlap, label=label) # Trees for concatenation axis concat_trees = [getattr(t, f"{dim}t") for t in tdatas]