a3-0505.ipynb

{
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  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "fb3b01ff",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import altair as alt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "9a675022",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('a3data.csv')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "674ff4e5",
   "metadata": {},
   "outputs": [
    {
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       "</script>"
      ],
      "text/plain": [
       "alt.VConcatChart(...)"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "brush = alt.selection_interval(\n",
    "    encodings=['x'] # limit selection to x-axis (time) values\n",
    ")\n",
    "\n",
    "# dynamic query lines\n",
    "Y_T = alt.Chart(df).mark_line().add_selection(\n",
    "    brush\n",
    ").encode(\n",
    "    alt.X('T(s):T', title='Time'),\n",
    "    alt.Y('Y(mm):Q', title='Signal of Y direction')\n",
    ").properties(\n",
    "    width=650,\n",
    "    height=50\n",
    ")\n",
    "\n",
    "# scatter plot, modify opacity based on selection\n",
    "Y_Z = alt.Chart(df).mark_line(point=True).encode(\n",
    "    x='Y(mm):Q',\n",
    "    y='Z(mm):Q',\n",
    "    tooltip=['Y(mm):N', 'Z(mm):N', 'T(s):N'],\n",
    "    opacity=alt.condition(brush, alt.value(0.75), alt.value(0.05))\n",
    ").properties(\n",
    "    width=650,\n",
    "    height=400\n",
    ")\n",
    "\n",
    "alt.vconcat(Y_T, Y_Z).properties(spacing=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0455fca1",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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