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{
"cells": [
{
"cell_type": "code",
"execution_count": 91,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: panel in /Users/jasonsuarez/miniconda3/envs/dataset/lib/python3.11/site-packages (1.3.8)\n",
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"Requirement already satisfied: hvplot in /Users/jasonsuarez/miniconda3/envs/dataset/lib/python3.11/site-packages (0.9.2)\n",
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"Requirement already satisfied: nbdev in /Users/jasonsuarez/miniconda3/envs/dataset/lib/python3.11/site-packages (2.3.13)\n",
"Requirement already satisfied: bokeh<3.4.0,>=3.2.0 in /Users/jasonsuarez/miniconda3/envs/dataset/lib/python3.11/site-packages (from panel) (3.3.4)\n",
"Requirement already satisfied: param<3.0,>=2.0.0 in /Users/jasonsuarez/miniconda3/envs/dataset/lib/python3.11/site-packages (from panel) (2.0.2)\n",
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"Requirement already satisfied: markdown-it-py in /Users/jasonsuarez/miniconda3/envs/dataset/lib/python3.11/site-packages (from panel) (3.0.0)\n",
"Requirement already satisfied: linkify-it-py in /Users/jasonsuarez/miniconda3/envs/dataset/lib/python3.11/site-packages (from panel) (2.0.2)\n",
"Requirement already satisfied: mdit-py-plugins in /Users/jasonsuarez/miniconda3/envs/dataset/lib/python3.11/site-packages (from panel) (0.4.0)\n",
"Requirement already satisfied: requests in /Users/jasonsuarez/miniconda3/envs/dataset/lib/python3.11/site-packages (from panel) (2.31.0)\n",
"Requirement already satisfied: tqdm>=4.48.0 in /Users/jasonsuarez/miniconda3/envs/dataset/lib/python3.11/site-packages (from panel) (4.66.1)\n",
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"Requirement already satisfied: PyYAML>=3.10 in /Users/jasonsuarez/miniconda3/envs/dataset/lib/python3.11/site-packages (from bokeh<3.4.0,>=3.2.0->panel) (6.0.1)\n",
"Requirement already satisfied: tornado>=5.1 in /Users/jasonsuarez/miniconda3/envs/dataset/lib/python3.11/site-packages (from bokeh<3.4.0,>=3.2.0->panel) (6.3.3)\n",
"Requirement already satisfied: ipykernel>=4.5.1 in /Users/jasonsuarez/miniconda3/envs/dataset/lib/python3.11/site-packages (from ipywidgets==8.*->jupyter_bokeh) (6.29.0)\n",
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"Requirement already satisfied: jupyterlab-widgets~=3.0 in /Users/jasonsuarez/miniconda3/envs/dataset/lib/python3.11/site-packages (from ipywidgets==8.*->jupyter_bokeh) (3.0.9)\n",
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"Requirement already satisfied: pip in /Users/jasonsuarez/miniconda3/envs/dataset/lib/python3.11/site-packages (from fastcore>=1.5.27->nbdev) (23.3.1)\n",
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"Requirement already satisfied: comm>=0.1.1 in /Users/jasonsuarez/miniconda3/envs/dataset/lib/python3.11/site-packages (from ipykernel>=4.5.1->ipywidgets==8.*->jupyter_bokeh) (0.2.1)\n",
"Requirement already satisfied: debugpy>=1.6.5 in /Users/jasonsuarez/miniconda3/envs/dataset/lib/python3.11/site-packages (from ipykernel>=4.5.1->ipywidgets==8.*->jupyter_bokeh) (1.6.7)\n",
"Requirement already satisfied: jupyter-client>=6.1.12 in /Users/jasonsuarez/miniconda3/envs/dataset/lib/python3.11/site-packages (from ipykernel>=4.5.1->ipywidgets==8.*->jupyter_bokeh) (8.6.0)\n",
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"Requirement already satisfied: matplotlib-inline>=0.1 in /Users/jasonsuarez/miniconda3/envs/dataset/lib/python3.11/site-packages (from ipykernel>=4.5.1->ipywidgets==8.*->jupyter_bokeh) (0.1.6)\n",
"Requirement already satisfied: nest-asyncio in /Users/jasonsuarez/miniconda3/envs/dataset/lib/python3.11/site-packages (from ipykernel>=4.5.1->ipywidgets==8.*->jupyter_bokeh) (1.6.0)\n",
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"Requirement already satisfied: pyzmq>=24 in /Users/jasonsuarez/miniconda3/envs/dataset/lib/python3.11/site-packages (from ipykernel>=4.5.1->ipywidgets==8.*->jupyter_bokeh) (25.1.2)\n",
"Requirement already satisfied: decorator in /Users/jasonsuarez/miniconda3/envs/dataset/lib/python3.11/site-packages (from ipython>=6.1.0->ipywidgets==8.*->jupyter_bokeh) (5.1.1)\n",
"Requirement already satisfied: jedi>=0.16 in /Users/jasonsuarez/miniconda3/envs/dataset/lib/python3.11/site-packages (from ipython>=6.1.0->ipywidgets==8.*->jupyter_bokeh) (0.19.1)\n",
"Requirement already satisfied: prompt-toolkit<3.1.0,>=3.0.41 in /Users/jasonsuarez/miniconda3/envs/dataset/lib/python3.11/site-packages (from ipython>=6.1.0->ipywidgets==8.*->jupyter_bokeh) (3.0.42)\n",
"Requirement already satisfied: pygments>=2.4.0 in /Users/jasonsuarez/miniconda3/envs/dataset/lib/python3.11/site-packages (from ipython>=6.1.0->ipywidgets==8.*->jupyter_bokeh) (2.17.2)\n",
"Requirement already satisfied: stack-data in /Users/jasonsuarez/miniconda3/envs/dataset/lib/python3.11/site-packages (from ipython>=6.1.0->ipywidgets==8.*->jupyter_bokeh) (0.6.2)\n",
"Requirement already satisfied: pexpect>4.3 in /Users/jasonsuarez/miniconda3/envs/dataset/lib/python3.11/site-packages (from ipython>=6.1.0->ipywidgets==8.*->jupyter_bokeh) (4.9.0)\n",
"Requirement already satisfied: MarkupSafe>=2.0 in /Users/jasonsuarez/miniconda3/envs/dataset/lib/python3.11/site-packages (from Jinja2>=2.9->bokeh<3.4.0,>=3.2.0->panel) (2.1.5)\n",
"Requirement already satisfied: parso<0.9.0,>=0.8.3 in /Users/jasonsuarez/miniconda3/envs/dataset/lib/python3.11/site-packages (from jedi>=0.16->ipython>=6.1.0->ipywidgets==8.*->jupyter_bokeh) (0.8.3)\n",
"Requirement already satisfied: platformdirs>=2.5 in /Users/jasonsuarez/miniconda3/envs/dataset/lib/python3.11/site-packages (from jupyter-core!=5.0.*,>=4.12->ipykernel>=4.5.1->ipywidgets==8.*->jupyter_bokeh) (4.2.0)\n",
"Requirement already satisfied: ptyprocess>=0.5 in /Users/jasonsuarez/miniconda3/envs/dataset/lib/python3.11/site-packages (from pexpect>4.3->ipython>=6.1.0->ipywidgets==8.*->jupyter_bokeh) (0.7.0)\n",
"Requirement already satisfied: wcwidth in /Users/jasonsuarez/miniconda3/envs/dataset/lib/python3.11/site-packages (from prompt-toolkit<3.1.0,>=3.0.41->ipython>=6.1.0->ipywidgets==8.*->jupyter_bokeh) (0.2.13)\n",
"Requirement already satisfied: executing>=1.2.0 in /Users/jasonsuarez/miniconda3/envs/dataset/lib/python3.11/site-packages (from stack-data->ipython>=6.1.0->ipywidgets==8.*->jupyter_bokeh) (2.0.1)\n",
"Requirement already satisfied: pure-eval in /Users/jasonsuarez/miniconda3/envs/dataset/lib/python3.11/site-packages (from stack-data->ipython>=6.1.0->ipywidgets==8.*->jupyter_bokeh) (0.2.2)\n",
"Note: you may need to restart the kernel to use updated packages.\n"
]
}
],
"source": [
"%pip install panel pandas numpy matplotlib hvplot jupyter_bokeh nbdev"
]
},
{
"cell_type": "code",
"execution_count": 92,
"metadata": {},
"outputs": [],
"source": [
"#|default_exp app\n",
"# | export \n",
"import panel as pn\n",
"import hvplot.pandas\n",
"import pandas as pd\n",
"import numpy as np\n",
"import io\n",
"import helpers.utils as utils\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 93,
"metadata": {},
"outputs": [
{
"data": {
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" var docs_json = {\"be89b814-37fc-44ff-8da4-cbe089391503\":{\"version\":\"3.3.4\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"panel.models.browser.BrowserInfo\",\"id\":\"47b7f385-2612-4021-ba32-2e0662cc69c2\"},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"946dcaa4-ac8d-4da3-bf76-bc66a00dbcd3\",\"attributes\":{\"plot_id\":\"47b7f385-2612-4021-ba32-2e0662cc69c2\",\"comm_id\":\"cefa7797254446b19ad6fac18db19a9d\",\"client_comm_id\":\"6ea4e02ae9074fc096f31fe1976a6cd5\"}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]}]}};\n",
" var render_items = [{\"docid\":\"be89b814-37fc-44ff-8da4-cbe089391503\",\"roots\":{\"47b7f385-2612-4021-ba32-2e0662cc69c2\":\"dd1dba1a-24a3-44d0-a3fe-4c74c6918ce6\"},\"root_ids\":[\"47b7f385-2612-4021-ba32-2e0662cc69c2\"]}];\n",
" var docs = Object.values(docs_json)\n",
" if (!docs) {\n",
" return\n",
" }\n",
" const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
" function embed_document(root) {\n",
" var Bokeh = get_bokeh(root)\n",
" Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
" for (const render_item of render_items) {\n",
" for (const root_id of render_item.root_ids) {\n",
"\tconst id_el = document.getElementById(root_id)\n",
"\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
"\t const root_el = id_el.children[0]\n",
"\t root_el.id = root_el.id + '-rendered'\n",
"\t}\n",
" }\n",
" }\n",
" }\n",
" function get_bokeh(root) {\n",
" if (root.Bokeh === undefined) {\n",
" return null\n",
" } else if (root.Bokeh.version !== py_version) {\n",
" if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
"\treturn null\n",
" }\n",
" return root.Bokeh.versions.get(py_version);\n",
" } else if (root.Bokeh.version === py_version) {\n",
" return root.Bokeh\n",
" }\n",
" return null\n",
" }\n",
" function is_loaded(root) {\n",
" var Bokeh = get_bokeh(root)\n",
" return (Bokeh != null && Bokeh.Panel !== undefined)\n",
" }\n",
" if (is_loaded(root)) {\n",
" embed_document(root);\n",
" } else {\n",
" var attempts = 0;\n",
" var timer = setInterval(function(root) {\n",
" if (is_loaded(root)) {\n",
" clearInterval(timer);\n",
" embed_document(root);\n",
" } else if (document.readyState == \"complete\") {\n",
" attempts++;\n",
" if (attempts > 200) {\n",
" clearInterval(timer);\n",
"\t var Bokeh = get_bokeh(root)\n",
"\t if (Bokeh == null || Bokeh.Panel == null) {\n",
" console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
"\t } else {\n",
"\t console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
"\t embed_document(root)\n",
"\t }\n",
" }\n",
" }\n",
" }, 25, root)\n",
" }\n",
"})(window);</script>"
]
},
"metadata": {
"application/vnd.holoviews_exec.v0+json": {
"id": "47b7f385-2612-4021-ba32-2e0662cc69c2"
}
},
"output_type": "display_data"
}
],
"source": [
"# | export\n",
"pn.extension(\n",
" \n",
")\n",
"template = pn.template.FastListTemplate(title=\"Dataset Analyser\", site=\"Dashboard\", main=[], \n",
" \n",
" \n",
")\n",
"template.sidebar.append(pn.Column(\n",
" pn.pane.Markdown(\n",
" \"\"\"\n",
" # Welcome to the Interactive Data App\n",
"\n",
" This app allows you to interact with the data in a number of ways.\n",
" \"\"\"\n",
" )\n",
"));"
]
},
{
"cell_type": "code",
"execution_count": 94,
"metadata": {},
"outputs": [],
"source": [
"# | export\n",
"template.sidebar.append(pn.Column(\n",
" pn.pane.Markdown(\n",
" \"\"\"\n",
" ## Load Data\n",
"\n",
" You can load the data from a URL or upload a file.\n",
" \"\"\"\n",
" )\n",
"));\n",
"\n",
"switch = pn.widgets.Switch(name=\"URL - FILE\", value=False)\n",
"url = pn.widgets.TextAreaInput(name=\"url\", placeholder=\"Enter the url of the dataset\", value=\"https://raw.githubusercontent.com/holoviz/panel/main/examples/assets/occupancy.csv\");\n",
"file = pn.widgets.FileInput(\n",
" accept=\".csv\", name=\"Upload a CSV file\",\n",
")\n"
]
},
{
"cell_type": "code",
"execution_count": 95,
"metadata": {},
"outputs": [],
"source": [
"# | export\n",
"def show_input_widget(switch: pn.widgets.Switch):\n",
" if not switch:\n",
" return pn.Row(url);\n",
" else:\n",
" return pn.Row(file);\n"
]
},
{
"cell_type": "code",
"execution_count": 96,
"metadata": {},
"outputs": [],
"source": [
"# | export\n",
"\n",
"def get_data(switch: pn.widgets.Switch, url: pn.widgets.TextAreaInput, file: pn.widgets.FileInput):\n",
" df = None\n",
" if not switch:\n",
" df = pd.read_csv(url)\n",
" else:\n",
" if file is None:\n",
" return \"No file selected\"\n",
" df = pd.read_csv(io.BytesIO(file))\n",
" \n",
" visualizations = utils.Visualizations(df, pn)\n",
" high_level_widget = visualizations.high_level_visualization()\n",
" shape_widget = visualizations.data_shape_visualization()\n",
" nature_widget = visualizations.nature_visualization()\n",
" distribution_widget = visualizations.distribution_visualization()\n",
" \n",
" return pn.Column(\n",
" high_level_widget,\n",
" pn.Row(shape_widget,\n",
" nature_widget,\n",
" distribution_widget)\n",
" )\n",
" \n",
"\n",
"bound_data = pn.bind(get_data, switch=switch, url=url, file=file)\n",
"template.sidebar.append(pn.Column(\n",
" pn.Row(switch),\n",
" pn.Row(pn.bind(show_input_widget, switch)),\n",
" ));\n",
"\n",
"template.main.append(bound_data) \n",
"template.servable();"
]
},
{
"cell_type": "code",
"execution_count": 97,
"metadata": {},
"outputs": [],
"source": [
"# | export\n"
]
},
{
"cell_type": "code",
"execution_count": 98,
"metadata": {},
"outputs": [],
"source": [
"# | export\n",
"# dataset = None\n",
"# if file:\n",
"# dataset = pd.read_csv(file)\n",
"# else:\n",
"# dataset = pd.read_csv(url.value)\n",
"# pn.Row(dataset.head().hvplot().opts(width=800, height=400)).servable(target=\"main\");"
]
},
{
"cell_type": "code",
"execution_count": 99,
"metadata": {},
"outputs": [],
"source": [
"from nbdev.export import nb_export\n",
"# Check if there is an app.py file in the current directory, if so remove it\n",
"import os\n",
"if os.path.exists('app.py'):\n",
" os.remove('app.py')\n",
"\n",
"\n",
"nb_export('app.ipynb', '.')"
]
}
],
"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": "3.11.7"
},
"widgets": {
"application/vnd.jupyter.widget-state+json": {
"state": {},
"version_major": 2,
"version_minor": 0
}
}
},
"nbformat": 4,
"nbformat_minor": 4
}
|