{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Widget-Liste" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import ipywidgets as widgets" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Numerische Widgets" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Es gibt eine Vielzahl von IPython-Widgets, die numerische Werte anzeigen sollen. Dabei haben die Ganzzahl-Widgets ein ähnliches Benennungsschema wie ihre Gegenstücke mit Gleitkommazahlen. Durch Ersetzen von `Float` durch `Int` im Widget-Namen könnt ihr das jeweilige Integer-Äquivalent finden." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### IntSlider" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "61f3dad6576a409a8f39d112c0a138b5", "version_major": 2, "version_minor": 0 }, "text/plain": [ "IntSlider(value=7, continuous_update=False, description='Test:', max=10)" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "widgets.IntSlider(\n", " value=7,\n", " min=0,\n", " max=10,\n", " step=1,\n", " description=\"Test:\",\n", " disabled=False,\n", " continuous_update=False,\n", " orientation=\"horizontal\",\n", " readout=True,\n", " readout_format=\"d\",\n", ")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "### FloatSlider" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "41bffbcae1df42449e4d727a92c06c47", "version_major": 2, "version_minor": 0 }, "text/plain": [ "FloatSlider(value=7.5, continuous_update=False, description='Test:', max=10.0, readout_format='.1f')" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "widgets.FloatSlider(\n", " value=7.5,\n", " min=0,\n", " max=10.0,\n", " step=0.1,\n", " description=\"Test:\",\n", " disabled=False,\n", " continuous_update=False,\n", " orientation=\"horizontal\",\n", " readout=True,\n", " readout_format=\".1f\",\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Sliders can also be **displayed vertically**." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "519aa10ce5994a8687d333630136728b", "version_major": 2, "version_minor": 0 }, "text/plain": [ "FloatSlider(value=7.5, continuous_update=False, description='Test:', max=10.0, orientation='vertical', readout…" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "widgets.FloatSlider(\n", " value=7.5,\n", " min=0,\n", " max=10.0,\n", " step=0.1,\n", " description=\"Test:\",\n", " disabled=False,\n", " continuous_update=False,\n", " orientation=\"vertical\",\n", " readout=True,\n", " readout_format=\".1f\",\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### FloatLogSlider" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Der `FloatLogSlider` verfügt über eine Skala, die es einfach macht, einen Schieberegler für einen großen Bereich positiver Zahlen zu verwenden. `min` und `max` beziehen sich auf die minimalen und maximalen Exponenten der Basis und der `value` bezieht sich auf den tatsächlichen Wert des Schiebereglers." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "9315e4d5143648938a1445035da6568b", "version_major": 2, "version_minor": 0 }, "text/plain": [ "FloatLogSlider(value=10.0, description='Log Slider', max=10.0, min=-10.0, step=0.2)" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "widgets.FloatLogSlider(\n", " value=10,\n", " base=10,\n", " min=-10, # max exponent of base\n", " max=10, # min exponent of base\n", " step=0.2, # exponent step\n", " description=\"Log Slider\",\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### IntRangeSlider" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "f3d81fb4e178492bad97378f945a8472", "version_major": 2, "version_minor": 0 }, "text/plain": [ "IntRangeSlider(value=(5, 7), continuous_update=False, description='Test:', max=10)" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "widgets.IntRangeSlider(\n", " value=[5, 7],\n", " min=0,\n", " max=10,\n", " step=1,\n", " description=\"Test:\",\n", " disabled=False,\n", " continuous_update=False,\n", " orientation=\"horizontal\",\n", " readout=True,\n", " readout_format=\"d\",\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### FloatRangeSlider" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "3d1a257c69e941e8871927b69c06e23f", "version_major": 2, "version_minor": 0 }, "text/plain": [ "FloatRangeSlider(value=(5.0, 7.5), continuous_update=False, description='Test:', max=10.0, readout_format='.1f…" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "widgets.FloatRangeSlider(\n", " value=[5, 7.5],\n", " min=0,\n", " max=10.0,\n", " step=0.1,\n", " description=\"Test:\",\n", " disabled=False,\n", " continuous_update=False,\n", " orientation=\"horizontal\",\n", " readout=True,\n", " readout_format=\".1f\",\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### IntProgress" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "fbd88ff8cdbe46e2821d43a669746e5b", "version_major": 2, "version_minor": 0 }, "text/plain": [ "IntProgress(value=7, description='Loading:', max=10)" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "widgets.IntProgress(\n", " value=7,\n", " min=0,\n", " max=10,\n", " step=1,\n", " description=\"Loading:\",\n", " bar_style=\"\", # 'success', 'info', 'warning', 'danger' or ''\n", " orientation=\"horizontal\",\n", ")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "### FloatProgress" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "7f92274ad5434cfd94290e7e8e775a67", "version_major": 2, "version_minor": 0 }, "text/plain": [ "FloatProgress(value=7.5, bar_style='info', description='Loading:', max=10.0)" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "widgets.FloatProgress(\n", " value=7.5,\n", " min=0,\n", " max=10.0,\n", " step=0.1,\n", " description=\"Loading:\",\n", " bar_style=\"info\",\n", " orientation=\"horizontal\",\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The numerical text boxes that impose some limit on the data (range, integer-only) impose that restriction when the user presses enter.\n", "\n", "### BoundedIntText" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "9b411e1d46254c76a79b617b0cf0d09c", "version_major": 2, "version_minor": 0 }, "text/plain": [ "BoundedIntText(value=7, description='Text:', max=10)" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "widgets.BoundedIntText(\n", " value=7,\n", " min=0,\n", " max=10,\n", " step=1,\n", " description=\"Text:\",\n", " disabled=False\n", ")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "### BoundedFloatText" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "e4404715eaca4cd680c58c8d9c697bd7", "version_major": 2, "version_minor": 0 }, "text/plain": [ "BoundedFloatText(value=7.5, description='Text:', max=10.0, step=0.1)" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "widgets.BoundedFloatText(\n", " value=7.5,\n", " min=0,\n", " max=10.0,\n", " step=0.1,\n", " description=\"Text:\",\n", " disabled=False\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### IntText" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "88335698f78f40fdaf69f7f72c78499a", "version_major": 2, "version_minor": 0 }, "text/plain": [ "IntText(value=7, description='Any:')" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "widgets.IntText(\n", " value=7,\n", " description=\"Any:\",\n", " disabled=False\n", ")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "### FloatText" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "2259620774dd44cc84aed69e3bc60fef", "version_major": 2, "version_minor": 0 }, "text/plain": [ "FloatText(value=7.5, description='Any:')" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "widgets.FloatText(\n", " value=7.5,\n", " description=\"Any:\",\n", " disabled=False\n", ")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Boolesche Widgets" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Es gibt drei Widgets, die boolesche Wert anzeigen sollen." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### ToggleButton" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "21c69c9f5d424fe5a476272cba22e8df", "version_major": 2, "version_minor": 0 }, "text/plain": [ "ToggleButton(value=False, description='Click me', icon='check', tooltip='Description')" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "widgets.ToggleButton(\n", " value=False,\n", " description=\"Click me\",\n", " disabled=False,\n", " button_style=\"\", # \"success\", \"info\", \"warning\", \"danger\" or \"\"\n", " tooltip=\"Description\",\n", " icon=\"check\",\n", ")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "### Checkbox" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "bc767806bc3f4d9a88d5a1c5d1d813d6", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Checkbox(value=False, description='Check me')" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "widgets.Checkbox(\n", " value=False,\n", " description=\"Check me\",\n", " disabled=False\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Valid\n", "\n", "Das `Valid`-Widget bietet eine read-only-Anzeige." ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "89de20ed8d10494b9b223e2148bb5a9d", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Valid(value=False, description='Valid!')" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "widgets.Valid(\n", " value=False,\n", " description=\"Valid!\",\n", ")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Auswahl-Widgets" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Es gibt mehrere Widgets zum Auswählen einzelner Werte und zwei für mehrere Werte. Alle erben von derselben Basisklasse." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "### Dropdown" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "1e0989fd4a084a3ebaf54679cb9ce1a8", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Dropdown(description='Number:', index=1, options=('1', '2', '3'), value='2')" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "widgets.Dropdown(\n", " options=[\"1\", \"2\", \"3\"],\n", " value=\"2\",\n", " description=\"Number:\",\n", " disabled=False,\n", ")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "### RadioButtons" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "d0100f40516c4d6c8366260d645823db", "version_major": 2, "version_minor": 0 }, "text/plain": [ "RadioButtons(description='Pizza topping:', index=1, options=('pepperoni', 'pineapple', 'anchovies'), value='pi…" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "widgets.RadioButtons(\n", " options=[\"pepperoni\", \"pineapple\", \"anchovies\"],\n", " value='pineapple',\n", " description=\"Pizza topping:\",\n", " disabled=False,\n", ")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "### Select" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "d890c8807c47408f865eb092e260c1c2", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Select(description='OS:', index=2, options=('Linux', 'Windows', 'OSX'), rows=3, value='OSX')" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "widgets.Select(\n", " options=[\"Linux\", \"Windows\", \"OSX\"],\n", " value=\"OSX\",\n", " rows=3,\n", " description=\"OS:\",\n", " disabled=False,\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### SelectionSlider" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "9913807b0e624d71b0200aaa5624e83a", "version_major": 2, "version_minor": 0 }, "text/plain": [ "SelectionSlider(continuous_update=False, description='I like my eggs …', index=1, options=('scrambled', 'sunny…" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "widgets.SelectionSlider(\n", " options=[\"scrambled\", \"sunny side up\", \"poached\", \"over easy\"],\n", " value=\"sunny side up\",\n", " description=\"I like my eggs …\",\n", " disabled=False,\n", " continuous_update=False,\n", " orientation=\"horizontal\",\n", " readout=True,\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### SelectionRangeSlider\n", "\n", "`index` ist ein Tupel der Mindest- und Höchstwerte." ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "b3c5d9dc446e4fea864d26631b89f152", "version_major": 2, "version_minor": 0 }, "text/plain": [ "SelectionRangeSlider(description='Months (2015)', index=(0, 11), options=(('Jan', datetime.date(2015, 1, 1)), …" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import datetime\n", "\n", "\n", "dates = [datetime.date(2015, i, 1) for i in range(1, 13)]\n", "options = [(i.strftime(\"%b\"), i) for i in dates]\n", "widgets.SelectionRangeSlider(\n", " options=options, index=(0, 11),\n", " description=\"Months (2015)\",\n", " disabled=False\n", ")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "### ToggleButtons" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "ec206651e80548bc93697994f0b548af", "version_major": 2, "version_minor": 0 }, "text/plain": [ "ToggleButtons(description='Speed:', options=('Slow', 'Regular', 'Fast'), tooltips=('Description of slow', 'Des…" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "widgets.ToggleButtons(\n", " options=[\"Slow\", \"Regular\", \"Fast\"],\n", " description=\"Speed:\",\n", " disabled=False,\n", " button_style=\"\", # \"success\", \"info\", \"warning\", \"danger\" or \"\"\n", " tooltips=[\n", " \"Description of slow\",\n", " \"Description of regular\",\n", " \"Description of fast\",\n", " ],\n", " # icons=['check'] * 2\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### SelectMultiple\n", "Mehrere Werte können ausgewählt werden bei den gedrückten Tasten shift und/oder ctrl (oder command) und Mausklicks oder Pfeiltasten." ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "8d21c4ca295340f5b2da3d67758fb17a", "version_major": 2, "version_minor": 0 }, "text/plain": [ "SelectMultiple(description='Fruits', index=(1,), options=('Apples', 'Oranges', 'Pears'), rows=3, value=('Orang…" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "widgets.SelectMultiple(\n", " options=[\"Apples\", \"Oranges\", \"Pears\"],\n", " value=[\"Oranges\"],\n", " rows=3,\n", " description=\"Fruits\",\n", " disabled=False,\n", ")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## String-Widgets" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Es gibt mehrere Widgets, die zum Anzeigen von Strings verwendet werden können. Die Widgets `Text` und `Textarea` akzeptieren Eingaben; die Widgets `HTML` und `HTMLMath` zeigen einen String als HTML an (`HTMLMath` rendert auch mathematische Formeln)." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "### Text" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "b00851f6d6084664afd3945146ede5a1", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Text(value='Hello World', description='String:', placeholder='Type something')" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "widgets.Text(\n", " value=\"Hello World\",\n", " placeholder=\"Type something\",\n", " description=\"String:\",\n", " disabled=False,\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Textarea" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "3c3c9e86a505465bb48e3846ca70f397", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Textarea(value='Hello World', description='String:', placeholder='Type something')" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "widgets.Textarea(\n", " value=\"Hello World\",\n", " placeholder=\"Type something\",\n", " description=\"String:\",\n", " disabled=False,\n", ")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "### Label\n", "\n", "Das `Label`-Widget ist nützlich für benutzerdefinierte Beschreibungen, die einen ähnlichen Stil wie die integrierten Beschreibungen haben." ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "3eab2361a17b483796de8f36d64faeee", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HBox(children=(Label(value='The $m$ in $E=mc^2$:'), FloatSlider(value=0.0)))" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "widgets.HBox(\n", " [widgets.Label(value=\"The $m$ in $E=mc^2$:\"), widgets.FloatSlider()]\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### HTML" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "509eeb657b77427c8c5a183eda898cc5", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HTML(value='Hello World', description='Some HTML', placeholder='Some HTML')" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "widgets.HTML(\n", " value=\"Hello World\",\n", " placeholder=\"Some HTML\",\n", " description=\"Some HTML\",\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### HTML Math" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "cb8da21ed6784ef7b5c33093380ea7fe", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HTMLMath(value='Some math and HTML: \\\\(x^2\\\\) and $$\\\\frac{x+1}{x-1}$$', description='Some HTML', place…" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "widgets.HTMLMath(\n", " value=r\"Some math and HTML: \\(x^2\\) and $$\\frac{x+1}{x-1}$$\",\n", " placeholder=\"Some HTML\",\n", " description=\"Some HTML\",\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Image" ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "scrolled": true }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "50d2aed73ade4f7ca359b061bcf6662d", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Image(value=b'GIF89a\\x1e\\x01\\x1e\\x01\\xc4\\x1f\\x00c\\x8d\\xff\\xea\\xea\\xea\\xc7\\xc7\\xc7\\x00\\x00\\x00\\xa0H\\x00\\xa6\\xa6…" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "file = open(\"smiley.gif\", \"rb\")\n", "image = file.read()\n", "widgets.Image(\n", " value=image,\n", " format=\"gif\",\n", " width=128,\n", " height=128,\n", ")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Button" ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "27512cc5afcb42918e28a8ec83058541", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Button(description='Click me', icon='check', style=ButtonStyle(), tooltip='Click me')" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "widgets.Button(\n", " description=\"Click me\",\n", " disabled=False,\n", " button_style=\"\", # \"success\", \"info\", \"warning\", \"danger\" or \"\"\n", " tooltip=\"Click me\",\n", " icon=\"check\",\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Output\n", "\n", "Das `Output`-Widget kann `stdout`, `stderr` und [IPython.display](https://ipython.readthedocs.io/en/stable/api/generated/IPython.display.html#module-IPython.display) erfassen und anzeigen. \n", "\n", "Ihr könnt die Ausgabe sowohl an ein Output-Widget anhängen oder programmatisch löschen." ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [], "source": [ "out = widgets.Output(layout={\"border\": \"1px solid black\"})" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [], "source": [ "with out:\n", " for i in range(5):\n", " print(i, \"Hello world!\")" ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [], "source": [ "from IPython.display import YouTubeVideo\n", "\n", "\n", "with out:\n", " display(YouTubeVideo(\"eWzY2nGfkXk\"))" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "0cbb8d005728427aa96368043c8f23c6", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Output(layout=Layout(border='1px solid black'))" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "out" ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [], "source": [ "out.clear_output()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Wir können Ausgaben auch direkt anhängen mit den Methoden `append_stdout`, `append_stderr` oder `append_display_data`." ] }, { "cell_type": "code", "execution_count": 36, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "49e28534b1564741ae53a43c94d1759a", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Output(layout=Layout(border='1px solid black'), outputs=({'output_type': 'stream', 'name': 'stdout', 'text': '…" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "out = widgets.Output(layout={\"border\": \"1px solid black\"})\n", "out.append_stdout(\"Output appended with append_stdout\")\n", "out.append_display_data(YouTubeVideo(\"eWzY2nGfkXk\"))\n", "out" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Eine ausführliche Dokumentation findet ihr in [Output widgets](https://ipywidgets.readthedocs.io/en/stable/examples/Output%20Widget.html)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Play/Animation-Widget" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Das `Play`-Widget ist nützlich, um Animationen auszuführen, die in einer bestimmten Geschwindigkeit durchlaufen werden sollen. Im folgenden Beispiel ist ein Slider mit dem Player verknüpft." ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "ab537e747bba491a94939c5b86029b5d", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HBox(children=(Play(value=50, description='Press play', interval=10), IntSlider(value=0)))" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "play = widgets.Play(\n", " interval=10,\n", " value=50,\n", " min=0,\n", " max=100,\n", " step=1,\n", " description=\"Press play\",\n", " disabled=False,\n", ")\n", "slider = widgets.IntSlider()\n", "widgets.jslink((play, \"value\"), (slider, \"value\"))\n", "widgets.HBox([play, slider])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## DatePicker\n", "\n", "Das Datumsauswahl-Widget funktioniert in Chrome, Firefox und IE Edge, derzeit jedoch nicht in Safari, da dieser `input type=\"date\"` nicht unterstützt." ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "69290bb5ddae4522b4cc01308f863716", "version_major": 2, "version_minor": 0 }, "text/plain": [ "DatePicker(value=None, description='Pick a Date')" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "widgets.DatePicker(\n", " description=\"Pick a Date\",\n", " disabled=False\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Color picker" ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "787945c1a3004285b736eae0d86aef56", "version_major": 2, "version_minor": 0 }, "text/plain": [ "ColorPicker(value='blue', description='Pick a color')" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "widgets.ColorPicker(\n", " concise=False,\n", " description=\"Pick a color\",\n", " value=\"blue\",\n", " disabled=False\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Controller\n", "\n", "`Controller` ermöglicht die Verwendung eines Game-Controller als Eingabegerät." ] }, { "cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "7184245c5b6a4297804b0825d6d8c458", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Controller()" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "widgets.Controller(\n", " index=0,\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Container/Layout-Widgets\n", "\n", "Diese Widgets werden zum Speichern anderer Widgets verwendet, die als `children` bezeichnet werden." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Box" ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "dbc4bceee3524adba9542a72fd9c016b", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Box(children=(Label(value='0'), Label(value='1'), Label(value='2'), Label(value='3')))" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "items = [widgets.Label(str(i)) for i in range(4)]\n", "widgets.Box(items)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### HBox" ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "224e66aeb6754bc1a02663f5d20d0490", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HBox(children=(Label(value='0'), Label(value='1'), Label(value='2'), Label(value='3')))" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "items = [widgets.Label(str(i)) for i in range(4)]\n", "widgets.HBox(items)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### VBox" ] }, { "cell_type": "code", "execution_count": 43, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "2e3a3294d1514da9bc06ce14fef6ee87", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HBox(children=(VBox(children=(Label(value='0'), Label(value='1'))), VBox(children=(Label(value='2'), Label(val…" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "items = [widgets.Label(str(i)) for i in range(4)]\n", "left_box = widgets.VBox([items[0], items[1]])\n", "right_box = widgets.VBox([items[2], items[3]])\n", "widgets.HBox([left_box, right_box])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Accordion" ] }, { "cell_type": "code", "execution_count": 44, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "4de2999b565842708f1f9ed1c5fb302d", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Accordion(children=(IntSlider(value=0), Text(value='')), _titles={'0': 'Slider', '1': 'Text'})" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "accordion = widgets.Accordion(children=[widgets.IntSlider(), widgets.Text()])\n", "accordion.set_title(0, \"Slider\")\n", "accordion.set_title(1, \"Text\")\n", "accordion" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Tabs\n", "\n", "In this example the children are set after the tab is created. Titles for the tabes are set in the same way they are for `Accordion`." ] }, { "cell_type": "code", "execution_count": 45, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "d7af359c655e4d0b82b28ae65002eb0f", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Tab(children=(Text(value='', description='P0'), Text(value='', description='P1'), Text(value='', description='…" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "tab_contents = [\"P0\", \"P1\", \"P2\", \"P3\", \"P4\"]\n", "children = [widgets.Text(description=name) for name in tab_contents]\n", "tab = widgets.Tab()\n", "tab.children = children\n", "for i in range(len(children)):\n", " tab.set_title(i, str(i))\n", "tab" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### `Accordion` und `Tab`\n", "\n", "Im Gegensatz zu den anderen Widgets, die zuvor beschrieben wurden, aktualisieren die Container-Widgets `Accordion` und `Tab` ihr Attribut `selected_index`, wenn der Benutzer das Akkordeon oder den Tab ändert; neben der Nutzereingabe kann der `selected_index` auch programmatisch festgelegt werden.\n", "\n", "Wenn `selected_index = None` gewählt wird, werden alle Akkordeons geschlossen oder die Auswahl aller Tabs aufgehoben." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In den folgenden *Notebook Cells* wird der Wert von `selected_index\" des Tab und/oder Akkordeon angezeigt." ] }, { "cell_type": "code", "execution_count": 46, "metadata": {}, "outputs": [], "source": [ "tab.selected_index = 3" ] }, { "cell_type": "code", "execution_count": 47, "metadata": {}, "outputs": [], "source": [ "accordion.selected_index = None" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Verschachtelung von Tabs und Akkordeons\n", "\n", "Tabs und Akkordeons können so tief verschachtelt werden, wie ihr möchtet. Das folgende Beispiel zeigt einige Tabs mit einem Akkordeon als `children`." ] }, { "cell_type": "code", "execution_count": 48, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "7dcadfa8b0a14aef916d08c3c041a080", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Tab(children=(Accordion(children=(IntSlider(value=0), Text(value='')), selected_index=None, _titles={'0': 'Sli…" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "tab_nest = widgets.Tab()\n", "tab_nest.children = [accordion, accordion]\n", "tab_nest.set_title(0, \"An accordion\")\n", "tab_nest.set_title(1, \"Copy of the accordion\")\n", "tab_nest" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3.11 Kernel", "language": "python", "name": "python311" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", 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