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janfreyberg/scrape-years.ipynb

Created March 25, 2018 22:19
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{
"cells": [
{
"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": [],
"source": [
"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": [],
"source": [
"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"
]
},
{
"cell_type": "code",
"execution_count": 182,
"metadata": {},
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"title": "z score ( no. events )"
},
"field": "number",
"type": "quantitative"
}
},
"mark": {
"dy": 0.2,
"type": "text"
},
"transform": [
{
"filter": "datum.number > 3"
},
{
"as": "number",
"calculate": "datum.number + 0.1"
}
]
}
]
},
"text/plain": [
"<VegaLite 2 object>"
]
},
"execution_count": 154,
"metadata": {},
"output_type": "execute_result"
}
],
"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": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python [conda env:Python3]",
"language": "python",
"name": "conda-env-Python3-py"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.4"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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