Altair.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import altair as alt\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#alt.renderers.enable('jupyterlab') \n",
    "#alt.renderers.enable('kaggle')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v3+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json",
       "config": {
        "mark": {
         "tooltip": null
        },
        "view": {
         "height": 300,
         "width": 400
        }
       },
       "data": {
        "name": "data-c2a3e89ba9d5d1687d5e8c28d630a033"
       },
       "datasets": {
        "data-c2a3e89ba9d5d1687d5e8c28d630a033": [
         {
          "a": "A",
          "b": 28
         },
         {
          "a": "B",
          "b": 55
         },
         {
          "a": "C",
          "b": 43
         },
         {
          "a": "D",
          "b": 91
         },
         {
          "a": "E",
          "b": 81
         },
         {
          "a": "F",
          "b": 53
         },
         {
          "a": "G",
          "b": 19
         },
         {
          "a": "H",
          "b": 87
         },
         {
          "a": "I",
          "b": 52
         }
        ]
       },
       "encoding": {
        "x": {
         "field": "a",
         "type": "nominal"
        },
        "y": {
         "field": "b",
         "type": "quantitative"
        }
       },
       "mark": "bar"
      },
      "image/png": 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",
      "text/plain": [
       "<VegaLite 3 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "\n",
    "\n",
    "source = pd.DataFrame({\n",
    "    'a': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I'],\n",
    "    'b': [28, 55, 43, 91, 81, 53, 19, 87, 52]\n",
    "})\n",
    "\n",
    "alt.Chart(source).mark_bar().encode(\n",
    "    x='a',\n",
    "    y='b'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v3+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json",
       "config": {
        "mark": {
         "tooltip": null
        },
        "view": {
         "height": 300,
         "width": 400
        }
       },
       "data": {
        "name": "data-6721a5d73fc2eb4feb320b5cbb7cae62"
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       "datasets": {
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",
      "text/plain": [
       "<VegaLite 3 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "np.random.seed(42)\n",
    "source = pd.DataFrame(np.cumsum(np.random.randn(100, 3), 0).round(2),\n",
    "                    columns=['A', 'B', 'C'], index=pd.RangeIndex(100, name='x'))\n",
    "source = source.reset_index().melt('x', var_name='category', value_name='y')\n",
    "\n",
    "# Create a selection that chooses the nearest point & selects based on x-value\n",
    "nearest = alt.selection(type='single', nearest=True, on='mouseover',\n",
    "                        fields=['x'], empty='none')\n",
    "\n",
    "# The basic line\n",
    "line = alt.Chart(source).mark_line(interpolate='basis').encode(\n",
    "    x='x:Q',\n",
    "    y='y:Q',\n",
    "    color='category:N'\n",
    ")\n",
    "\n",
    "# Transparent selectors across the chart. This is what tells us\n",
    "# the x-value of the cursor\n",
    "selectors = alt.Chart(source).mark_point().encode(\n",
    "    x='x:Q',\n",
    "    opacity=alt.value(0),\n",
    ").add_selection(\n",
    "    nearest\n",
    ")\n",
    "\n",
    "# Draw points on the line, and highlight based on selection\n",
    "points = line.mark_point().encode(\n",
    "    opacity=alt.condition(nearest, alt.value(1), alt.value(0))\n",
    ")\n",
    "\n",
    "# Draw text labels near the points, and highlight based on selection\n",
    "text = line.mark_text(align='left', dx=5, dy=-5).encode(\n",
    "    text=alt.condition(nearest, 'y:Q', alt.value(' '))\n",
    ")\n",
    "\n",
    "# Draw a rule at the location of the selection\n",
    "rules = alt.Chart(source).mark_rule(color='gray').encode(\n",
    "    x='x:Q',\n",
    ").transform_filter(\n",
    "    nearest\n",
    ")\n",
    "\n",
    "# Put the five layers into a chart and bind the data\n",
    "alt.layer(\n",
    "    line, selectors, points, rules, text\n",
    ").properties(\n",
    "    width=600, height=300\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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