{ "cells": [ { "cell_type": "markdown", "id": "1834ea66", "metadata": {}, "source": [ "# Search Builder\n", "\n", "[SearchBuilder](https://datatables.net/extensions/searchbuilder/) let you build complex search queries. You just need to add it to the layout\n", "by passing e.g. `layout={\"top1\": \"searchBuilder\"}`.\n", "\n", "It is possible to set a predefined search, as we do in the below:" ] }, { "cell_type": "code", "execution_count": 1, "id": "b3accea7", "metadata": { "tags": [ "full-width" ] }, "outputs": [ { "data": { "text/html": [ "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
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\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import itables\n", "\n", "itables.init_notebook_mode()\n", "\n", "df = itables.sample_dfs.get_countries(html=False, climate_zone=True)\n", "\n", "itables.show(\n", " df,\n", " layout={\"top1\": \"searchBuilder\"},\n", " searchBuilder={\n", " \"preDefined\": {\n", " \"criteria\": [\n", " {\"data\": \"climate_zone\", \"condition\": \"=\", \"value\": [\"Sub-tropical\"]}\n", " ]\n", " }\n", " },\n", ")" ] } ], "metadata": { "jupytext": { "formats": "md:myst", "notebook_metadata_filter": "-jupytext.text_representation.jupytext_version", "text_representation": { "extension": ".md", "format_name": "myst", "format_version": 0.13 } }, "kernelspec": { "display_name": "itables", "language": "python", "name": "itables" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.12" }, "source_map": [ 13, 22 ] }, "nbformat": 4, "nbformat_minor": 5 }