condanotebook.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import datetime\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "import plotly.graph_objects as go\n",
    "from ipywidgets import widgets\n",
    "\n",
    "\n",
    "df = pd.read_csv(\n",
    "    'https://raw.githubusercontent.com/yankev/testing/master/datasets/nycflights.csv')\n",
    "df = df.drop(df.columns[[0]], axis=1)\n",
    "\n",
    "##df.sample(3)\n",
    "##df['carrier'].unique()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "month = widgets.IntSlider(\n",
    "    value=1.0,\n",
    "    min=1.0,\n",
    "    max=12.0,\n",
    "    step=1.0,\n",
    "    description='Month:',\n",
    "    continuous_update=False\n",
    ")\n",
    "\n",
    "use_date = widgets.Checkbox(\n",
    "    description='Date: ',\n",
    "    value=True,\n",
    ")\n",
    "\n",
    "container = widgets.HBox(children=[use_date, month])\n",
    "\n",
    "textbox = widgets.Dropdown(\n",
    "    description='Airline:   ',\n",
    "    value='DL',\n",
    "    options=df['carrier'].unique().tolist()\n",
    ")\n",
    "\n",
    "origin = widgets.Dropdown(\n",
    "    options=list(df['origin'].unique()),\n",
    "    value='LGA',\n",
    "    description='Origin Airport:',\n",
    ")\n",
    "\n",
    "\n",
    "# Assign an empty figure widget with two traces\n",
    "trace1 = go.Histogram(x=df['arr_delay'], opacity=0.75, name='Arrival Delays')\n",
    "trace2 = go.Histogram(x=df['dep_delay'], opacity=0.75, name='Departure Delays')\n",
    "g = go.FigureWidget(data=[trace1, trace2],\n",
    "                    layout=go.Layout(\n",
    "                        title=dict(\n",
    "                            text='NYC FlightDatabase'\n",
    "                        ),\n",
    "                        barmode='overlay'\n",
    "                    ))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def validate():\n",
    "    if origin.value in df['origin'].unique() and textbox.value in df['carrier'].unique():\n",
    "        return True\n",
    "    else:\n",
    "        return False\n",
    "\n",
    "\n",
    "def response(change):\n",
    "    if validate():\n",
    "        if use_date.value:\n",
    "            filter_list = [i and j and k for i, j, k in\n",
    "                           zip(df['month'] == month.value, df['carrier'] == textbox.value,\n",
    "                               df['origin'] == origin.value)]\n",
    "            temp_df = df[filter_list]\n",
    "\n",
    "        else:\n",
    "            filter_list = [i and j for i, j in\n",
    "                           zip(df['carrier'] == textbox.value, df['origin'] == origin.value)]\n",
    "            temp_df = df[filter_list]\n",
    "        x1 = temp_df['arr_delay']\n",
    "        x2 = temp_df['dep_delay']\n",
    "        with g.batch_update():\n",
    "            g.data[0].x = x1\n",
    "            g.data[1].x = x2\n",
    "            g.layout.barmode = 'overlay'\n",
    "            g.layout.xaxis.title = 'Delay in Minutes'\n",
    "            g.layout.yaxis.title = 'Number of Delays'\n",
    "\n",
    "\n",
    "origin.observe(response, names=\"value\")\n",
    "textbox.observe(response, names=\"value\")\n",
    "month.observe(response, names=\"value\")\n",
    "use_date.observe(response, names=\"value\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ce6ec7a05f0b4733b0a6b2fd05305ed9",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "VBox(children=(HBox(children=(Checkbox(value=True, description='Date: '), IntSlider(value=1, continuous_update…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "container2 = widgets.HBox([origin, textbox])\n",
    "widgets.VBox([container,\n",
    "              container2,\n",
    "              g])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "range(1, 21)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mProf = range(1,21)\n",
    "mProf "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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