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@colejhudson
Created October 30, 2021 01:42
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{
"cells": [
{
"cell_type": "markdown",
"id": "8a287d9c-473a-44b6-a9ff-9ae14501ffce",
"metadata": {},
"source": [
"## Quick Compraison of Employment Recovery Post-Pandemic and Post-Great Recession"
]
},
{
"cell_type": "code",
"execution_count": 224,
"id": "dd89718e-2b08-4e83-9c53-91fba3683627",
"metadata": {},
"outputs": [],
"source": [
"import matplotlib.pyplot as plt\n",
"from fredapi import Fred\n",
"import pandas as pd\n",
"import seaborn as sns\n",
"import random\n",
"import calendar"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "5b13ef13-5b11-492b-bc19-f7934106cc15",
"metadata": {},
"outputs": [],
"source": [
"fred = Fred(api_key='959992623aeafb38f1a8679014c6d589')"
]
},
{
"cell_type": "code",
"execution_count": 37,
"id": "4762bc4f-ad11-41d4-a3c9-82936e1bb87a",
"metadata": {},
"outputs": [],
"source": [
"unemployment_rate = pd.DataFrame({ 'rate': fred.get_series('UNRATE') })\n",
"employable_to_pop = pd.DataFrame({ 'ratio': fred.get_series('LNS12300060') })"
]
},
{
"cell_type": "code",
"execution_count": 49,
"id": "0f1712f6-9cca-4328-aef6-c76d51d30a7c",
"metadata": {},
"outputs": [],
"source": [
"unemployment_rate['Year'] = pd.Series(pd.Series(unemployment_rate.index, index=unemployment_rate.index)).dt.year\n",
"unemployment_rate['Month'] = pd.Series(pd.Series(unemployment_rate.index, index=unemployment_rate.index)).dt.month"
]
},
{
"cell_type": "code",
"execution_count": 50,
"id": "71679126-f104-4e9f-92a2-bbd88ee01bbc",
"metadata": {},
"outputs": [],
"source": [
"employable_to_pop['Year'] = pd.Series(pd.Series(employable_to_pop.index, index=employable_to_pop.index)).dt.year\n",
"employable_to_pop['Month'] = pd.Series(pd.Series(employable_to_pop.index, index=employable_to_pop.index)).dt.month"
]
},
{
"cell_type": "code",
"execution_count": 116,
"id": "552b3d5a-f765-4e5e-8374-36b9eaef21fc",
"metadata": {},
"outputs": [],
"source": [
"is_after_great_recession_end = unemployment_rate.Year >= 2009\n",
"is_after_pandemic_start = ((unemployment_rate.Year >= 2020) & (unemployment_rate.Month >= 3)) | (unemployment_rate.Year >= 2021)\n",
"is_before_pandemic = ~is_after_pandemic_start"
]
},
{
"cell_type": "code",
"execution_count": 119,
"id": "cce03e9c-8df8-4869-bdcc-b0ba7342394c",
"metadata": {},
"outputs": [],
"source": [
"is_first_recovery = is_after_great_recession_end & ~is_after_pandemic_start"
]
},
{
"cell_type": "code",
"execution_count": 123,
"id": "d74119f0-0704-41ca-9bf1-3c567efb600e",
"metadata": {},
"outputs": [],
"source": [
"is_pandemic_recovery = is_after_pandemic_start"
]
},
{
"cell_type": "code",
"execution_count": 144,
"id": "ae5fbae6-8d04-4cfc-bf0c-e87499c30f09",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 1.0, 'Post-Great Recession Employment Recovery')"
]
},
"execution_count": 144,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"x = employable_to_pop[is_first_recovery].ratio.values\n",
"y = unemployment_rate[is_first_recovery].rate.values\n",
"months = unemployment_rate[is_first_recovery].Month.values\n",
"plt.scatter(x, y, c=months)\n",
"plt.xlabel('Employable To Total Population', fontsize=10)\n",
"plt.ylabel('Unemployment Rate', fontsize=10)\n",
"plt.title('Post-Great Recession Employment Recovery')"
]
},
{
"cell_type": "code",
"execution_count": 145,
"id": "681c8f41-99cb-4621-83db-9effe0121389",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 1.0, 'Pandemic Employment Recovery')"
]
},
"execution_count": 145,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"x = employable_to_pop[is_pandemic_recovery].ratio.values\n",
"y = unemployment_rate[is_pandemic_recovery].rate.values\n",
"months = unemployment_rate[is_pandemic_recovery].Month.values\n",
"plt.scatter(x, y, c=months)\n",
"plt.xlabel('Employable To Total Population', fontsize=10)\n",
"plt.ylabel('Unemployment Rate', fontsize=10)\n",
"plt.title('Pandemic Employment Recovery')"
]
},
{
"cell_type": "code",
"execution_count": 225,
"id": "9afe7bcc-e124-408f-b4a5-e75f678a4ab8",
"metadata": {},
"outputs": [],
"source": [
"post_recession_rates = pd.DataFrame(\n",
" { \n",
" 'employable_ratio': employable_to_pop[is_after_great_recession_end].ratio.values,\n",
" 'unemployment_rate': unemployment_rate[is_after_great_recession_end].rate.values,\n",
" 'year': unemployment_rate[is_after_great_recession_end].Year,\n",
" 'month': unemployment_rate[is_after_great_recession_end].Month.apply(lambda x: calendar.month_abbr[x]),\n",
" 'label': is_pandemic_recovery[is_after_great_recession_end].replace({ False: 'Great Recession', True: 'Pandemic'})\n",
" },\n",
" index=employable_to_pop[is_after_great_recession_end].index\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 256,
"id": "826accd4-ed88-4f76-b05f-2e13102a3ea8",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 1.0, 'Pandemic vs. Great Recession Employment Recovery')"
]
},
"execution_count": 256,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"ax = sns.scatterplot(\n",
" data=post_recession_rates,\n",
" x='employable_ratio',\n",
" y='unemployment_rate',\n",
" hue='label',\n",
" palette=\"deep\",\n",
")\n",
"\n",
"for i in range(0, post_recession_rates.shape[0]):\n",
" if post_recession_rates.label[i] == 'Great Recession' and random.random() < 0.98:\n",
" continue\n",
" \n",
" if post_recession_rates.label[i] != 'Great Recession' and list(calendar.month_abbr).index(post_recession_rates.month[i]) > 8:\n",
" continue\n",
" \n",
" ax.text(\n",
" post_recession_rates.employable_ratio[i] + random.uniform(0.2, 0.9),\n",
" post_recession_rates.unemployment_rate[i],\n",
" str(post_recession_rates.month[i]) + ' ' + str(post_recession_rates.year[i]),\n",
" horizontalalignment='left', \n",
" size='small',\n",
" color='black',\n",
" weight='normal'\n",
" )\n",
"\n",
"plt.xlabel('Employable To Total Population', fontsize=10)\n",
"plt.ylabel('Unemployment Rate', fontsize=10)\n",
"plt.title('Pandemic vs. Great Recession Employment Recovery')"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"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": "3.8.10"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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