{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import panel as pn\n",
    "\n",
    "pn.extension()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The ``ArrayInput`` widget allows rendering and editing NumPy arrays using a text entry box whose contents are then parsed in Python. In order to avoid issues with large arrays the `ArrayInput` defines a `max_array_size`, if the array exceeds this size the textual representation will be summarized and editing will be disabled.\n",
    "\n",
    "Discover more on using widgets to add interactivity to your applications in the [how-to guides on interactivity](../how_to/interactivity/index.md). Alternatively, learn [how to set up callbacks and (JS-)links between parameters](../../how_to/links/index.md) or [how to use them as part of declarative UIs with Param](../../how_to/param/index.html).\n",
    "\n",
    "#### Parameters:\n",
    "\n",
    "For details on other options for customizing the component see the [layout](../../how_to/layout/index.md) and [styling](../../how_to/styling/index.md) how-to guides.\n",
    "\n",
    "##### Core\n",
    "\n",
    "* **``max_array_size``** (int): Arrays larger than this limit will be allowed in Python but will not be serialized into JavaScript. Although such large arrays will thus not be editable in the widget, such a restriction helps avoid overwhelming the browser and lets other widgets remain usable.\n",
    "* **``value``**: Parsed value of the indicated type\n",
    "\n",
    "##### Display\n",
    "\n",
    "* **``disabled``** (boolean): Whether the widget is editable\n",
    "* **``name``** (str): The title of the widget\n",
    "* **``placeholder``** (str): A placeholder string displayed when no value is entered\n",
    "\n",
    "___"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "array_input = pn.widgets.ArrayInput(name='Array Input ', value=np.random.randint(0, 10, (10, 2)))\n",
    "array_input"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "``ArrayInput.value`` returns a value of the evaluated type that can be read out and set like other widgets:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "array_input.value"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Controls\n",
    "\n",
    "The `ArrayInput` widget exposes a number of options which can be changed from both Python and Javascript. Try out the effect of these parameters interactively:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pn.Row(array_input.controls(jslink=True), array_input)"
   ]
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python",
   "pygments_lexer": "ipython3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}