demo.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RendererRegistry.enable('notebook')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import altair as alt\n",
    "from vega_datasets import data\n",
    "alt.renderers.enable('notebook')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'3.0.0rc1'"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.__version__"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Work fine for default"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "import altair as alt\n",
    "import pandas as pd\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",
    "chart = alt.Chart(source).mark_bar().encode(\n",
    "    x='a',\n",
    "    y='b'\n",
    ").properties(\n",
    "        title='I need a proper title'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "var spec = {\"config\": {\"view\": {\"width\": 400, \"height\": 300}}, \"data\": {\"name\": \"data-c2a3e89ba9d5d1687d5e8c28d630a033\"}, \"mark\": \"bar\", \"encoding\": {\"x\": {\"type\": \"nominal\", \"field\": \"a\"}, \"y\": {\"type\": \"quantitative\", \"field\": \"b\"}}, \"title\": \"I need a proper title\", \"$schema\": \"https://vega.github.io/schema/vega-lite/v3.0.2.json\", \"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}]}};\n",
       "var opt = {};\n",
       "var type = \"vega-lite\";\n",
       "var id = \"72a159b8-aa6b-4432-972b-d0c09c7a373f\";\n",
       "\n",
       "var output_area = this;\n",
       "\n",
       "require([\"nbextensions/jupyter-vega/index\"], function(vega) {\n",
       "  var target = document.createElement(\"div\");\n",
       "  target.id = id;\n",
       "  target.className = \"vega-embed\";\n",
       "\n",
       "  var style = document.createElement(\"style\");\n",
       "  style.textContent = [\n",
       "    \".vega-embed .error p {\",\n",
       "    \"  color: firebrick;\",\n",
       "    \"  font-size: 14px;\",\n",
       "    \"}\",\n",
       "  ].join(\"\\\\n\");\n",
       "\n",
       "  // element is a jQuery wrapped DOM element inside the output area\n",
       "  // see http://ipython.readthedocs.io/en/stable/api/generated/\\\n",
       "  // IPython.display.html#IPython.display.Javascript.__init__\n",
       "  element[0].appendChild(target);\n",
       "  element[0].appendChild(style);\n",
       "\n",
       "  vega.render(\"#\" + id, spec, type, opt, output_area);\n",
       "}, function (err) {\n",
       "  if (err.requireType !== \"scripterror\") {\n",
       "    throw(err);\n",
       "  }\n",
       "});\n"
      ],
      "text/plain": [
       "<vega.vegalite.VegaLite at 0x1daf8eddf60>"
      ]
     },
     "metadata": {
      "jupyter-vega": "#72a159b8-aa6b-4432-972b-d0c09c7a373f"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": []
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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"
     },
     "metadata": {
      "jupyter-vega": "#72a159b8-aa6b-4432-972b-d0c09c7a373f"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "chart"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Title Disappear?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "var spec = {\"config\": {\"view\": {\"width\": 400, \"height\": 300}, \"title\": {\"fontSize\": 100}}, \"data\": {\"name\": \"data-c2a3e89ba9d5d1687d5e8c28d630a033\"}, \"mark\": \"bar\", \"encoding\": {\"x\": {\"type\": \"nominal\", \"field\": \"a\"}, \"y\": {\"type\": \"quantitative\", \"field\": \"b\"}}, \"title\": \"I need a proper title\", \"$schema\": \"https://vega.github.io/schema/vega-lite/v3.0.2.json\", \"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}]}};\n",
       "var opt = {};\n",
       "var type = \"vega-lite\";\n",
       "var id = \"0b330bcb-f77d-488e-8105-42426a804829\";\n",
       "\n",
       "var output_area = this;\n",
       "\n",
       "require([\"nbextensions/jupyter-vega/index\"], function(vega) {\n",
       "  var target = document.createElement(\"div\");\n",
       "  target.id = id;\n",
       "  target.className = \"vega-embed\";\n",
       "\n",
       "  var style = document.createElement(\"style\");\n",
       "  style.textContent = [\n",
       "    \".vega-embed .error p {\",\n",
       "    \"  color: firebrick;\",\n",
       "    \"  font-size: 14px;\",\n",
       "    \"}\",\n",
       "  ].join(\"\\\\n\");\n",
       "\n",
       "  // element is a jQuery wrapped DOM element inside the output area\n",
       "  // see http://ipython.readthedocs.io/en/stable/api/generated/\\\n",
       "  // IPython.display.html#IPython.display.Javascript.__init__\n",
       "  element[0].appendChild(target);\n",
       "  element[0].appendChild(style);\n",
       "\n",
       "  vega.render(\"#\" + id, spec, type, opt, output_area);\n",
       "}, function (err) {\n",
       "  if (err.requireType !== \"scripterror\") {\n",
       "    throw(err);\n",
       "  }\n",
       "});\n"
      ],
      "text/plain": [
       "<vega.vegalite.VegaLite at 0x1daf81792e8>"
      ]
     },
     "metadata": {
      "jupyter-vega": "#0b330bcb-f77d-488e-8105-42426a804829"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": []
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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"
     },
     "metadata": {
      "jupyter-vega": "#0b330bcb-f77d-488e-8105-42426a804829"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "chart.configure_title(fontSize=100)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Actually when you use configure_title it changes the color as well?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "var spec = {\"config\": {\"view\": {\"width\": 400, \"height\": 300}, \"title\": {\"color\": \"red\", \"fontSize\": 100}}, \"data\": {\"name\": \"data-c2a3e89ba9d5d1687d5e8c28d630a033\"}, \"mark\": \"bar\", \"encoding\": {\"x\": {\"type\": \"nominal\", \"field\": \"a\"}, \"y\": {\"type\": \"quantitative\", \"field\": \"b\"}}, \"title\": \"I need a proper title\", \"$schema\": \"https://vega.github.io/schema/vega-lite/v3.0.2.json\", \"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}]}};\n",
       "var opt = {};\n",
       "var type = \"vega-lite\";\n",
       "var id = \"f0e1e760-1762-4b2a-9f55-b2ee09da46fb\";\n",
       "\n",
       "var output_area = this;\n",
       "\n",
       "require([\"nbextensions/jupyter-vega/index\"], function(vega) {\n",
       "  var target = document.createElement(\"div\");\n",
       "  target.id = id;\n",
       "  target.className = \"vega-embed\";\n",
       "\n",
       "  var style = document.createElement(\"style\");\n",
       "  style.textContent = [\n",
       "    \".vega-embed .error p {\",\n",
       "    \"  color: firebrick;\",\n",
       "    \"  font-size: 14px;\",\n",
       "    \"}\",\n",
       "  ].join(\"\\\\n\");\n",
       "\n",
       "  // element is a jQuery wrapped DOM element inside the output area\n",
       "  // see http://ipython.readthedocs.io/en/stable/api/generated/\\\n",
       "  // IPython.display.html#IPython.display.Javascript.__init__\n",
       "  element[0].appendChild(target);\n",
       "  element[0].appendChild(style);\n",
       "\n",
       "  vega.render(\"#\" + id, spec, type, opt, output_area);\n",
       "}, function (err) {\n",
       "  if (err.requireType !== \"scripterror\") {\n",
       "    throw(err);\n",
       "  }\n",
       "});\n"
      ],
      "text/plain": [
       "<vega.vegalite.VegaLite at 0x1daf8108cc0>"
      ]
     },
     "metadata": {
      "jupyter-vega": "#f0e1e760-1762-4b2a-9f55-b2ee09da46fb"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": []
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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"
     },
     "metadata": {
      "jupyter-vega": "#f0e1e760-1762-4b2a-9f55-b2ee09da46fb"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "chart.configure_title(fontSize=100, color='red')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.6.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}