yansc/deploy-mercury

1{2 "cells": [3  {4   "cell_type": "code",5   "execution_count": 21,6   "metadata": {},7   "outputs": [],8   "source": [9    "import pandas as pd\n",10    "import seaborn as sns\n",11    "import plotly.express as px\n",12    "import numpy as np\n",13    "import mercury as mr\n",14    "# import ipywidgets as widgets\n",15    "# from ipywidgets import interact, interactive, IntProgress\n",16    "# from IPython.display import Markdown, HTML, Javascript, display, Image, clear_output\n",17    "def printmd(string):\n",18    "    display(Markdown(string))"19   ]20  },21  {22   "cell_type": "code",23   "execution_count": 9,24   "metadata": {},25   "outputs": [26    {27     "data": {28      "application/mercury+json": {29       "allow_download": true,30       "code_uid": "App.0.40.24.2-rand05c3cf02",31       "continuous_update": true,32       "description": "A visual representation of nutrients with time during ArcticNet Campaign 2014 - Eastern Arctic Ocean",33       "full_screen": true,34       "model_id": "mercury-app",35       "notify": "{}",36       "output": "app",37       "schedule": "",38       "show_code": false,39       "show_prompt": false,40       "show_sidebar": true,41       "static_notebook": false,42       "title": "Ocean Nutrients with Time - 2014",43       "widget": "App"44      },45      "text/html": [46       "<h3>Mercury Application</h3><small>This output won't appear in the web app.</small>"47      ],48      "text/plain": [49       "mercury.App"50      ]51     },52     "metadata": {},53     "output_type": "display_data"54    }55   ],56   "source": [57    "# set Application parameters\n",58    "app = mr.App(title=\"Ocean Nutrients with Time - 2014\",\n",59    "             description=\"A visual representation of nutrients with time during ArcticNet Campaign 2014 - Eastern Arctic Ocean\",\n",60    "             show_code=False,\n",61    "             continuous_update=True)"62   ]63  },64  {65   "cell_type": "code",66   "execution_count": 24,67   "metadata": {},68   "outputs": [],69   "source": [70    "b1_state='False'\n",71    "b2_state='False'\n",72    "b3_state='False'"73   ]74  },75  {76   "cell_type": "code",77   "execution_count": null,78   "metadata": {},79   "outputs": [],80   "source": [81    "# add file upload widget\n",82    "my_file=mr.File(label=\"Nutrient file upload\")\n",83    "button1=mr.Button(label=\"Next\", style=\"success\")"84   ]85  },86  {87   "cell_type": "code",88   "execution_count": null,89   "metadata": {},90   "outputs": [],91   "source": [92    "if button1.clicked:\n",93    "    b1_state='True'\n",94    "    df=pd.read_csv(my_file.filepath)\n",95    "    cols=list(df.columns)\n",96    "\n",97    "    #Find date and time col\n",98    "    dt_col=[c for c in cols if 'Date' in c or 'date' in c or 'Time' in c or 'time' in c]\n",99    "    dt_col=dt_col[0]"100   ]101  },102  {103   "cell_type": "code",104   "execution_count": null,105   "metadata": {},106   "outputs": [],107   "source": [108    "if b1_state=='True':\n",109    "    # Choose the variable to plot with date_and time\n",110    "    var=mr.Select(value=cols[0], choices=cols,label=\"Choose variable\")\n",111    "    v=var.value\n",112    "    b2_state='True'"113   ]114  },115  {116   "cell_type": "code",117   "execution_count": 13,118   "metadata": {},119   "outputs": [],120   "source": [121    "#display(df)\n",122    "if b2_state=='True':\n",123    "    button2=mr.Button(label=\"Next\", style=\"success\")\n",124    "    if button2.clicked:\n",125    "        fig = px.scatter(df, x=dt_col, y=v, color=\"Station\")\n",126    "        fig.show()"127   ]128  }129 ],130 "metadata": {131  "kernelspec": {132   "display_name": "base",133   "language": "python",134   "name": "python3"135  },136  "language_info": {137   "codemirror_mode": {138    "name": "ipython",139    "version": 3140   },141   "file_extension": ".py",142   "mimetype": "text/x-python",143   "name": "python",144   "nbconvert_exporter": "python",145   "pygments_lexer": "ipython3",146   "version": "3.8.12"147  },148  "orig_nbformat": 4149 },150 "nbformat": 4,151 "nbformat_minor": 2152}153