{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": "# User Manual\n\n`ethograph` visualizes behavioural recordings across modalities:\n\n| Data | Shown as | File formats / loaders |\n|------|----------|------------------------|\n| **Video** | Napari viewer | `.mp4` (recommended), `.avi`, `.mov` (via [pyav](https://pyav.org/docs/stable/)) |\n| **Pose/ BoundingBox** | Overlay on video | `.h5`, `.csv` (DLC, SLEAP, LightningPose, ... via [movement](https://movement.neuroinformatics.dev)) |\n| **Audio** | Waveform + spectrogram | `.wav`, `.mp3` (via [audioio](https://github.com/bendalab/audioio)) |\n| **Electrophysiology** | Multi-channel trace | `.dat`, `.bin`, `.raw` via [phylib](https://github.com/cortex-lab/phylib) and [supported extensions](https://akseli-ilmanen.github.io/ethograph/getting_started/loading_ephys.html#supported-formats) via [Neo](https://neo.readthedocs.io) |\n| **Spike-sorted units** | Raster / PSTH | [Kilosort](https://github.com/MouseLand/Kilosort) folder, `.nwb` file, {class}`pynapple.TsGroup`|\n| **Features** | Lineplot / heatmap | Kinematics, firing rates, latent variables, model outputs, ... |\n\n```{note}\n`.avi` and `.mov` files have inaccurate frame seeking (off by 1–2 frames). For best results, transcode to `.mp4` with H.264. See {doc}`troubleshooting`.\n```\n\n---\n\n\nFeature data can be loaded via three backends:\n\n| Backend | Object | File format |\n|---------|--------|-------------|\n| **xarray** | {class}`xarray.Dataset` / {class}`~ethograph.io.trialtree.TrialTree` | `.nc` |\n| **Pynapple** | {class}`~pynapple.Tsd` / {class}`~pynapple.TsdFrame` | `.npz` or folder |\n| **NWB** | `.nwb` (loaded via {mod}`pynapple`) | `.nwb` |\n\nUnlike a plain numpy array, all three formats carry explicit timestamps with each value.\nThis allows `ethograph` to automatically align data of different sampling rates and\nmodalities (video, audio & electrophysiology).\n" }, { "cell_type": "markdown", "source": "## Labelling\n\nEthograph is a labelling GUI for marking the onset and offset of behavioural\nevents. Press a number key to select a label class, click on the timeseries plot to\nmark the onset, click again to mark the offset, then press **V** to play back\nthe segment you just labelled.\n\n```{image} /_static/videos/label_basic.gif\n:alt: Labelling workflow — select class, click onset, click offset, press V to review\n:width: 100%\n```", "metadata": {} }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Feature dropdowns\n", "\n", "To showcase some `ethograph` functionalities, we will use pose data from a carrion crow performing a tool-use task (Moll et al., 2025¹). The {class}`xarray.Dataset` is from one behavioural trial, and shows position, velocity, speed, and acceleration for 3 keypoints tracked in 3D.\n", "\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.execute_input": "2026-04-13T22:36:26.885749Z", "iopub.status.busy": "2026-04-13T22:36:26.885749Z", "iopub.status.idle": "2026-04-13T22:36:29.012346Z", "shell.execute_reply": "2026-04-13T22:36:29.012346Z" } }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.Dataset> Size: 206kB\n",
       "Dimensions:      (time: 1169, space: 3, keypoints: 3, individuals: 1)\n",
       "Coordinates:\n",
       "  * time         (time) float64 9kB 0.0 0.005 0.01 0.015 ... 5.83 5.835 5.84\n",
       "  * space        (space) <U1 12B 'x' 'y' 'z'\n",
       "  * keypoints    (keypoints) <U8 96B 'beakTip' 'stickTip' 'pellet'\n",
       "  * individuals  (individuals) <U5 20B 'Crow1'\n",
       "Data variables:\n",
       "    position     (time, space, keypoints, individuals) float64 84kB ...\n",
       "    velocity     (time, space, keypoints, individuals) float64 84kB ...\n",
       "    speed        (time, keypoints, individuals) float64 28kB ...\n",
       "Attributes:\n",
       "    source_software:  DeepLabCut\n",
       "    ds_type:          poses\n",
       "    fps:              200.0\n",
       "    time_unit:        seconds\n",
       "    source_file:      C:/Users/aksel/Documents/Code/EthoGraph/data/Moll2025/2...\n",
       "    trial:            115\n",
       "    bird:             Crow1\n",
       "    session_date:     2024-12-17\n",
       "    pellet_position:  left\n",
       "    human_verified:   1
" ], "text/plain": [ " Size: 206kB\n", "Dimensions: (time: 1169, space: 3, keypoints: 3, individuals: 1)\n", "Coordinates:\n", " * time (time) float64 9kB 0.0 0.005 0.01 0.015 ... 5.83 5.835 5.84\n", " * space (space) \n", "
\n", "Notice the dimensions:\n", "\n", "| Feature | Dimensions |\n", "|---------|------------|\n", "| `position` | `(time, space, keypoints, individuals)` |\n", "| `velocity` | `(time, space, keypoints, individuals)` |\n", "| `speed` | `(time, keypoints, individuals)` |\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "
\n", "\n", "With {class}`xarray.DataArray`, you can use {meth}`~xarray.DataArray.sel` to pick\n", "a specific keypoint, spatial axis, and individual:" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "iopub.execute_input": "2026-04-13T22:36:29.040686Z", "iopub.status.busy": "2026-04-13T22:36:29.040686Z", "iopub.status.idle": "2026-04-13T22:36:29.045699Z", "shell.execute_reply": "2026-04-13T22:36:29.045189Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "position with .sel: shape (1169,)\n", "speed with .sel: KeyError: \"'space' is not a valid dimension or coordinate for Dataset with dimensions FrozenMappingWarningOnValuesAccess({'time': 1169, 'keypoints': 3, 'individuals': 1})\"\n" ] } ], "source": [ "\n", "# Standard xarray .sel — works when all dimensions exist\n", "beak_x = ds[\"position\"].sel(keypoints=\"beakTip\", space=\"x\", individuals=\"Crow1\")\n", "print(f\"position with .sel: shape {beak_x.shape}\")\n", "\n", "# But speed has no 'space' dimension — .sel raises an error:\n", "try:\n", " ds[\"speed\"].sel(keypoints=\"beakTip\", space=\"x\", individuals=\"Crow1\")\n", "except (KeyError, ValueError) as e:\n", " print(f\"speed with .sel: {type(e).__name__}: {e}\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "---\n", "\n", "
\n", "\n", "In the GUI, you can switch between features using the **Feature** dropdown and **select** ({meth}`~xarray.DataArray.sel`) a unique combination of feature dimensions. In the video below, the user switches from the feature `speed` to `velocity`, with the selection dimensions `individuals=crow1`, `keypoints=beakTip` and `space=[\"x\", \"y\", \"z\"]` (All checkbox ticked). Thanks to {func}`~ethograph.sel_valid`, any invalid dimensions are ignored (e.g. it's not problematic that speed does not have a `space` dimension).\n", "\n", "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "\n", "
\n", "
\n", "\n", "At the end of the video and in the plot below, one can see that particularly `velocity` for `keypoints=beakTip` and `space=z` (green line) defines segmentation boundaries of the crows downward movement, inserting the stick tool into the dispenser." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "tags": [ "hide-input" ] }, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import matplotlib.patches as mpatches\n", "from ethograph.labels.intervals import add_interval, empty_intervals\n", "from ethograph.labels.plots import plot_label_segments\n", "\n", "sel = {\"keypoints\": \"beakTip\", \"individuals\": \"Crow1\"}\n", "\n", "# 3 labelled intervals (real onsets from the Moll2025 dataset)\n", "label_color = np.array([0, 204, 204]) / 255.0 # _LABEL_COLORS[10]\n", "labels_df = empty_intervals()\n", "labels_df = add_interval(labels_df, 3.87, 4.035, 10, \"Crow1\")\n", "labels_df = add_interval(labels_df, 4.315, 4.435, 10, \"Crow1\")\n", "labels_df = add_interval(labels_df, 4.588757756, 4.674700055, 10, \"Crow1\")\n", "\n", "label_mappings = {10: {\"name\": \"stickInDisp\", \"color\": label_color, \"order\": 10, \"branch\": 0}}\n", "\n", "fig, axes = plt.subplots(2, 1, figsize=(10, 4), sharex=True)\n", "\n", "# velocity x, y, z\n", "for i, (axis_name, color) in enumerate(zip([\"x\", \"y\", \"z\"], [\"#1f77b4\", \"#ff2a0e\", \"#2ca02c\"])):\n", " vel, _ = eto.sel_valid(ds[\"velocity\"].sel(space=axis_name), sel)\n", " axes[0].plot(ds.time, vel, color=color, label=axis_name)\n", "axes[0].set_ylabel(\"beakTip velocity \\n (cm/s)\", fontsize=11)\n", "axes[0].legend(loc=\"upper right\", fontsize=11, ncol=2)\n", "plot_label_segments(axes[0], labels_df, label_mappings, individual=\"Crow1\", is_main=True, alpha=0.3)\n", "\n", "# speed\n", "spd, _ = eto.sel_valid(ds[\"speed\"], sel)\n", "axes[1].plot(ds.time, spd, color=\"#000305\")\n", "axes[1].set_ylabel(\"beakTip speed \\n (cm/s)\", fontsize=11)\n", "plot_label_segments(axes[1], labels_df, label_mappings, individual=\"Crow1\", is_main=True, alpha=0.3)\n", "\n", "axes[1].set_xlabel(\"time (s)\")\n", "insert_stick_patch = mpatches.Patch(\n", " facecolor=label_color,\n", " alpha=0.3,\n", " edgecolor=\"none\",\n", " label=\"insert stick tool\",\n", ")\n", "\n", "handles, labels = axes[0].get_legend_handles_labels()\n", "axes[1].legend(\n", " [insert_stick_patch],\n", " [\"insert stick tool\"],\n", " loc=\"upper right\",\n", " fontsize=11,\n", " ncol=4,\n", ")\n", "\n", "for ax in axes:\n", " ax.set_xlim(3.5, 5.0)\n", "\n", "\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": "## Changepoints\n\nBesides looking at the `z-velocity`, one can also identify good candidates for segmentation boundaries by looking at where there are minima or turning points in the `beakTip` speed curve. We call these kinematic {doc}`changepoints `.\n" }, { "cell_type": "markdown", "metadata": {}, "source": [] }, { "cell_type": "code", "execution_count": 50, "metadata": { "tags": [ "hide-input" ] }, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "import matplotlib.patches as mpatches\n", "import numpy as np\n", "from ethograph.labels.intervals import add_interval, empty_intervals\n", "from ethograph.labels.plots import plot_label_segments\n", "\n", "sel = {\"keypoints\": \"beakTip\", \"individuals\": \"Crow1\"}\n", "\n", "# 3 labelled intervals (real onsets from the Moll2025 dataset)\n", "label_color = np.array([0, 204, 204]) / 255.0 # _LABEL_COLORS[10]\n", "labels_df = empty_intervals()\n", "labels_df = add_interval(labels_df, 3.87, 4.035, 10, \"Crow1\")\n", "labels_df = add_interval(labels_df, 4.315, 4.435, 10, \"Crow1\")\n", "labels_df = add_interval(labels_df, 4.588757756, 4.674700055, 10, \"Crow1\")\n", "\n", "label_mappings = {10: {\"name\": \"stickInDisp\", \"color\": label_color, \"order\": 10, \"branch\": 0}}\n", "\n", "fig = plt.subplots(1, 1, figsize=(10, 4), sharex=True)\n", "\n", "# speed\n", "spd, _ = eto.sel_valid(ds[\"speed\"], sel)\n", "plt.plot(ds.time, spd, color=\"#000305\")\n", "\n", "troughs = ds[\"speed_troughs\"].sel(keypoints=\"beakTip\", individuals=\"Crow1\").values\n", "trough_idx = np.where(troughs == 1)[0]\n", "turning_points = ds[\"speed_turning_points\"].sel(keypoints=\"beakTip\", individuals=\"Crow1\").values\n", "turning_points_idx = np.where(turning_points == 1)[0]\n", "changepoints_idx = np.sort(np.concatenate([trough_idx, turning_points_idx]))\n", "plt.scatter(ds.time[changepoints_idx], spd[changepoints_idx], s=20, c=\"r\", label=\"changepoints\")\n", "plt.ylabel(\"beakTip speed \\n (cm/s)\", fontsize=11)\n", "plot_label_segments(plt, labels_df, label_mappings, individual=\"Crow1\", is_main=True, alpha=0.3)\n", "\n", "plt.xlabel(\"time (s)\")\n", "insert_stick_patch = mpatches.Patch(\n", " facecolor=label_color,\n", " alpha=0.3,\n", " edgecolor=\"none\",\n", " label=\"insert stick tool\",\n", ")\n", "\n", "handles, labels = plt.gca().get_legend_handles_labels()\n", "plt.legend(\n", " [insert_stick_patch, *handles],\n", " [\"insert stick tool\", *labels],\n", " loc=\"upper right\",\n", " fontsize=11,\n", ")\n", "\n", "plt.xlim(3.5, 5.0)\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Building a TrialTree\n", "\n", "A single {class}`xarray.Dataset` holds one trial. A {class}`~ethograph.io.trialtree.TrialTree` wraps multiple\n", "trials into one object:" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "execution": { "iopub.execute_input": "2026-04-13T22:36:29.835540Z", "iopub.status.busy": "2026-04-13T22:36:29.835028Z", "iopub.status.idle": "2026-04-13T22:36:29.843748Z", "shell.execute_reply": "2026-04-13T22:36:29.843748Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Trials: [115]\n", "Trial at index 0: 115\n", "Features: ['position', 'confidence', 'velocity', 'speed', 'acceleration']...\n" ] } ], "source": [ "# Wrap as a TrialTree (here just one trial for demo)\n", "dt = eto.from_datasets([ds])\n", "\n", "print(f\"Trials: {dt.trials}\")\n", "print(f\"Trial at index 0: {dt.itrial(0).attrs['trial']}\")\n", "print(f\"Features: {list(dt.trial(dt.trials[0]).data_vars)[:5]}...\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Data requirements summary\n", "\n", "| | xarray | Pynapple | NWB |\n", "|--|--------|----------|-----|\n", "| **File format** | `.nc` via {class}`~ethograph.io.trialtree.TrialTree` | `.npz` or folder | `.nwb` |\n", "| **Required attrs** | `trial`, `fps` | *(none)* | *(NWB standard)* |\n", "| **Features** | Any `data_var` with a time dim | Any {class}`~pynapple.Tsd` / {class}`~pynapple.TsdFrame` | {class}`~pynwb.TimeSeries` in processing |\n", "| **Individuals** | `coords[\"individuals\"]` | Separate objects | One subject per file |\n", "| **Trials** | One `Dataset` per trial | {class}`~pynapple.IntervalSet` | `nwb.trials` table |\n", "\n", "See [Data Format Requirements](data_requirements.md) for full specifications\n", "across all three backends.\n", "\n", "## Operations across backends\n", "\n", "| Operation | xarray / TrialTree | Pynapple | NWB |\n", "|-----------|-------------------|----------|-----|\n", "| **Load** | {func}`~ethograph.open` | {func}`~ethograph.load_nap_data` | {func}`~ethograph.load_nap_data` |\n", "| **Restrict** | {meth}`~xarray.Dataset.sel` | {meth}`~pynapple.Tsd.restrict` | Via {mod}`pynapple` |\n", "| **Select dims** | {func}`~ethograph.sel_valid` | Column indexing on {class}`~pynapple.TsdFrame` | Via {mod}`pynapple` |\n", "| **Build** | {func}`~ethograph.from_datasets` | {func}`~pynapple.save_file` | {class}`~pynwb.NWBHDF5IO` |\n", "| **Alignment** | `.ethograph/alignment.nwb` | `.ethograph/alignment.nwb` | In source `.nwb` |\n", "| **Iterate trials** | {meth}`~ethograph.io.trialtree.TrialTree.trial_items` | {meth}`~pynapple.Tsd.restrict` | Via {mod}`pynapple` |" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### References\n", "\n", "Moll, F. W., Würzler, J., & Nieder, A. (2025). Learned precision tool use in carrion crows. Current Biology, 35(19), 4845-4852.e3. https://doi.org/10.1016/j.cub.2025.08.033" ] } ], "metadata": { "kernelspec": { "display_name": "ethograph", "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": "3.12.13" } }, "nbformat": 4, "nbformat_minor": 4 }