{ "cells": [ { "cell_type": "markdown", "id": "011263bd", "metadata": {}, "source": [ "# Working with Datasets" ] }, { "cell_type": "code", "execution_count": null, "id": "375b5f97", "metadata": {}, "outputs": [], "source": [ "import pymovements as pm\n", "\n", "dataset = pm.datasets.ToyDataset(\n", " root='data/',\n", " download=True,\n", " extract=True,\n", " remove_finished=True,\n", ")" ] }, { "cell_type": "code", "execution_count": null, "id": "9585a173", "metadata": {}, "outputs": [], "source": [ "subset = {\n", " 'text_id': [1, 2],\n", " 'page_id': 1,\n", "}\n", "dataset.load(subset=subset)" ] }, { "cell_type": "code", "execution_count": null, "id": "ff93298e", "metadata": {}, "outputs": [], "source": [ "dataset.fileinfo" ] }, { "cell_type": "code", "execution_count": null, "id": "1cbab15d", "metadata": {}, "outputs": [], "source": [ "dataset.gaze[0]" ] }, { "cell_type": "code", "execution_count": null, "id": "edd59432", "metadata": {}, "outputs": [], "source": [ "dataset.pix2deg()\n", "\n", "dataset.gaze[0]" ] }, { "cell_type": "code", "execution_count": null, "id": "4590b9fd", "metadata": {}, "outputs": [], "source": [ "dataset.pos2vel(method='savitzky_golay', window_length=7, polyorder=2)\n", "\n", "dataset.gaze[0]" ] }, { "cell_type": "code", "execution_count": null, "id": "a2e9a9bf", "metadata": {}, "outputs": [], "source": [ "dataset.detect_events(method=pm.events.microsaccades)\n", "\n", "dataset.events[0]" ] }, { "cell_type": "code", "execution_count": null, "id": "aef13b52", "metadata": {}, "outputs": [], "source": [ "dataset.detect_events(method=pm.events.ivt, velocity_threshold=45, minimum_duration=55)\n", "\n", "dataset.events[0]" ] }, { "cell_type": "code", "execution_count": null, "id": "1b00ef41", "metadata": {}, "outputs": [], "source": [ "dataset.save()" ] }, { "cell_type": "code", "execution_count": null, "id": "821d490c", "metadata": {}, "outputs": [], "source": [ "del dataset" ] }, { "cell_type": "code", "execution_count": null, "id": "f92137a0", "metadata": {}, "outputs": [], "source": [ "dataset = pm.datasets.ToyDataset(\n", " root='data/',\n", " download=False,\n", " extract=False,\n", " remove_finished=False,\n", ")\n", "\n", "dataset.load(events=True, preprocessed=True, subset=subset)\n", "\n", "display(dataset.gaze[0])\n", "display(dataset.events[0])" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.10.9" } }, "nbformat": 4, "nbformat_minor": 5 }