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mwouts committed Sep 22, 2024
1 parent a2a7758 commit af030e3
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Showing 34 changed files with 1,655 additions and 1,655 deletions.
132 changes: 66 additions & 66 deletions _sources/advanced_parameters.ipynb

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6 changes: 3 additions & 3 deletions _sources/contributing.ipynb
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"cells": [
{
"cell_type": "markdown",
"id": "06828771",
"id": "78409764",
"metadata": {},
"source": [
"# Contributing\n",
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{
"cell_type": "code",
"execution_count": 1,
"id": "ff0a11ce",
"id": "2fe89d21",
"metadata": {},
"outputs": [
{
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},
{
"cell_type": "markdown",
"id": "73a777c1",
"id": "e99c4288",
"metadata": {},
"source": [
"## Support DataTables\n",
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90 changes: 45 additions & 45 deletions _sources/custom_css.ipynb

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14 changes: 7 additions & 7 deletions _sources/custom_extensions.ipynb

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2 changes: 1 addition & 1 deletion _sources/dark_mode.ipynb
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"cells": [
{
"cell_type": "markdown",
"id": "ef9be74a",
"id": "6c25d4a7",
"metadata": {},
"source": [
"# Dark Themes\n",
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32 changes: 16 additions & 16 deletions _sources/downsampling.ipynb

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82 changes: 41 additions & 41 deletions _sources/extensions.ipynb

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2 changes: 1 addition & 1 deletion _sources/extensions.md
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Expand Up @@ -190,7 +190,7 @@ argument is required (otherwise the search panes are too wide).
show(
df,
layout={"top1": "searchPanes"},
searchPanes={"layout": "columns-3", "cascadePanes": True},
searchPanes={"layout": "columns-3", "cascadePanes": True, "columns": [1, 6, 7]},
)
```

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62 changes: 31 additions & 31 deletions _sources/formatting.ipynb

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20 changes: 10 additions & 10 deletions _sources/html_export.ipynb
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"cells": [
{
"cell_type": "markdown",
"id": "b82709af",
"id": "188df781",
"metadata": {},
"source": [
"# HTML export\n",
Expand All @@ -13,7 +13,7 @@
{
"cell_type": "code",
"execution_count": 1,
"id": "df639486",
"id": "cb392166",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -28,7 +28,7 @@
},
{
"cell_type": "markdown",
"id": "6fb77d15",
"id": "9020e4d9",
"metadata": {},
"source": [
"You can then save the `html` variable to a text file (note: if you're writing an HTML application, you could consider using [Shiny](shiny.md) or [Streamlit](streamlit.md) instead), or print it:"
Expand All @@ -37,7 +37,7 @@
{
"cell_type": "code",
"execution_count": 2,
"id": "ddb06738",
"id": "8dd4023f",
"metadata": {
"tags": [
"scroll-output"
Expand All @@ -48,7 +48,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"<table id=\"itables_0000828c_3fb6_4707_90dc_8ca2ce486b93\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto;margin:auto;caption-side:bottom\">\n",
"<table id=\"itables_76c7b121_112e_4906_b626_9a0162a35853\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto;margin:auto;caption-side:bottom\">\n",
"<thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
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"<script type=\"module\">\n",
" import {DataTable, jQuery as $} from 'https://www.unpkg.com/[email protected]/dt_bundle.js';\n",
"\n",
" document.querySelectorAll(\"#itables_0000828c_3fb6_4707_90dc_8ca2ce486b93:not(.dataTable)\").forEach(table => {\n",
" document.querySelectorAll(\"#itables_76c7b121_112e_4906_b626_9a0162a35853:not(.dataTable)\").forEach(table => {\n",
" // Define the table data\n",
" const data = [[\"AW\", \"Latin America & Caribbean \", \"Aruba\", \"Oranjestad\", -70.0167, 12.5167], [\"AF\", \"South Asia\", \"Afghanistan\", \"Kabul\", 69.1761, 34.5228], [\"AO\", \"Sub-Saharan Africa \", \"Angola\", \"Luanda\", 13.242, -8.81155]];\n",
"\n",
Expand All @@ -101,7 +101,7 @@
},
{
"cell_type": "markdown",
"id": "abdc4a71",
"id": "fa1081c5",
"metadata": {},
"source": [
"or display it, like `show` does:"
Expand All @@ -110,13 +110,13 @@
{
"cell_type": "code",
"execution_count": 3,
"id": "d2cf0a89",
"id": "54fe9400",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<table id=\"itables_0000828c_3fb6_4707_90dc_8ca2ce486b93\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto;margin:auto;caption-side:bottom\">\n",
"<table id=\"itables_76c7b121_112e_4906_b626_9a0162a35853\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto;margin:auto;caption-side:bottom\">\n",
"<thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
Expand Down Expand Up @@ -147,7 +147,7 @@
"<script type=\"module\">\n",
" import {DataTable, jQuery as $} from 'https://www.unpkg.com/[email protected]/dt_bundle.js';\n",
"\n",
" document.querySelectorAll(\"#itables_0000828c_3fb6_4707_90dc_8ca2ce486b93:not(.dataTable)\").forEach(table => {\n",
" document.querySelectorAll(\"#itables_76c7b121_112e_4906_b626_9a0162a35853:not(.dataTable)\").forEach(table => {\n",
" // Define the table data\n",
" const data = [[\"AW\", \"Latin America & Caribbean \", \"Aruba\", \"Oranjestad\", -70.0167, 12.5167], [\"AF\", \"South Asia\", \"Afghanistan\", \"Kabul\", 69.1761, 34.5228], [\"AO\", \"Sub-Saharan Africa \", \"Angola\", \"Luanda\", 13.242, -8.81155]];\n",
"\n",
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140 changes: 70 additions & 70 deletions _sources/ipywidgets.ipynb
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"cells": [
{
"cell_type": "markdown",
"id": "229d08f1",
"id": "8f61b253",
"metadata": {},
"source": [
"# Jupyter Widget\n",
Expand All @@ -24,13 +24,13 @@
{
"cell_type": "code",
"execution_count": 1,
"id": "5ae48300",
"id": "22367c7e",
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "71082bf2f83b4d9ea7f4f762483279a2",
"model_id": "009378e4633d46b68b7d45c98b933430",
"version_major": 2,
"version_minor": 1
},
Expand All @@ -55,7 +55,7 @@
},
{
"cell_type": "markdown",
"id": "0f2ffbd1",
"id": "87cac27b",
"metadata": {},
"source": [
"## The `selected_rows` traits\n",
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{
"cell_type": "code",
"execution_count": 2,
"id": "3247baa8",
"id": "53aa6714",
"metadata": {},
"outputs": [
{
Expand All @@ -90,7 +90,7 @@
{
"cell_type": "code",
"execution_count": 3,
"id": "4c17f974",
"id": "f33d1322",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -99,7 +99,7 @@
},
{
"cell_type": "markdown",
"id": "124bb8da",
"id": "e3589972",
"metadata": {},
"source": [
"## The `df` property\n",
Expand All @@ -110,7 +110,7 @@
{
"cell_type": "code",
"execution_count": 4,
"id": "76c6e702",
"id": "46e3a4d5",
"metadata": {},
"outputs": [
{
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},
{
"cell_type": "markdown",
"id": "3c98e4a7",
"id": "2b069c14",
"metadata": {},
"source": [
"or to update it"
Expand All @@ -182,7 +182,7 @@
{
"cell_type": "code",
"execution_count": 5,
"id": "95afb036",
"id": "78bda2ae",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -191,7 +191,7 @@
},
{
"cell_type": "markdown",
"id": "db413196",
"id": "2f920a87",
"metadata": {},
"source": [
"```{tip}\n",
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{
"cell_type": "code",
"execution_count": 6,
"id": "00921541",
"id": "6b9cf59f",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -216,7 +216,7 @@
},
{
"cell_type": "markdown",
"id": "d96cd589",
"id": "e5c16917",
"metadata": {},
"source": [
"## The `update` method\n",
Expand All @@ -227,7 +227,7 @@
{
"cell_type": "code",
"execution_count": 7,
"id": "5133e767",
"id": "791ccbad",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -236,7 +236,7 @@
},
{
"cell_type": "markdown",
"id": "6c2584a2",
"id": "bf9949c2",
"metadata": {},
"source": [
"## Limitations\n",
Expand Down Expand Up @@ -317,60 +317,7 @@
"widgets": {
"application/vnd.jupyter.widget-state+json": {
"state": {
"55673721193e479ca56d08d1e3429621": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "2.0.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "2.0.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "2.0.0",
"_view_name": "LayoutView",
"align_content": null,
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"grid_area": null,
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"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
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"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
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"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"71082bf2f83b4d9ea7f4f762483279a2": {
"009378e4633d46b68b7d45c98b933430": {
"model_module": "anywidget",
"model_module_version": "~0.9.*",
"model_name": "AnyModel",
Expand Down Expand Up @@ -514,7 +461,7 @@
"_view_name": "AnyView",
"caption": "numbers and strings",
"classes": "display nowrap",
"layout": "IPY_MODEL_55673721193e479ca56d08d1e3429621",
"layout": "IPY_MODEL_97cb11f29ced40c08f3c04bd2830d852",
"selected_rows": [
7,
8
Expand All @@ -523,6 +470,59 @@
"tabbable": null,
"tooltip": null
}
},
"97cb11f29ced40c08f3c04bd2830d852": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "2.0.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "2.0.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "2.0.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border_bottom": null,
"border_left": null,
"border_right": null,
"border_top": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
}
},
"version_major": 2,
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