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{
"cell_type": "code",
"execution_count": 136,
"metadata": {},
"outputs": [],
"source": [
"import altair as alt\n",
"import pandas as pd\n",
"import numpy as np\n"
]
},
{
"cell_type": "code",
"execution_count": 102,
"metadata": {},
"outputs": [],
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"def rolling_zscore(col, years=50):\n",
" return ((col - col.rolling(years, center=True, min_periods=5).mean())\n",
" / col.rolling(years, center=True, min_periods=5).std())"
]
},
{
"cell_type": "code",
"execution_count": 135,
"metadata": {},
"outputs": [],
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"years = (pd.read_csv('year_metrics.csv')\n",
" .set_index('year')\n",
" .sort_index()\n",
" .reset_index()\n",
" .melt(id_vars='year', var_name='type', value_name='number')\n",
" .loc[lambda df: df['type']=='events']\n",
" )\n"
]
},
{
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],
"source": [
"df = (years.loc[lambda df: df['type']=='events']\n",
" .assign(number=lambda df: rolling_zscore(df['number'], years=30)))\n",
"\n",
"chart = (\n",
" alt.Chart(\n",
" df, width=800, height=600\n",
" )\n",
" .encode(x=alt.X('year:Q'),\n",
" y=alt.Y('number:Q', axis=alt.Axis(title='z score ( no. events )')),\n",
" color=alt.Color('number:Q', legend=None))\n",
" .mark_point(filled=True)\n",
") + (\n",
" alt.Chart(df)\n",
" .transform_filter('datum.number > 3')\n",
" .transform_calculate('number', 'datum.number + 0.1')\n",
" .encode(x=alt.X('year:Q'),\n",
" y=alt.Y('number:Q', axis=alt.Axis(title='z score ( no. events )')),\n",
"# color=alt.Color('number:Q'),\n",
" text=alt.Text('year'))\n",
" .mark_text(dy=0.2)\n",
")\n",
"\n",
"chart.savechart('z-score-scatter.json')\n",
"chart.savechart('z-score-scatter.html')\n",
"\n",
"chart"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
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