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{
"cells": [
{
"cell_type": "code",
"execution_count": 3,
"id": "b42faeb2",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"\n",
"df = pd.read_csv('data/distilbert-usa.csv', low_memory=False)\n",
"\n",
"df['Created At'] = pd.to_datetime(df['Created At'], errors='coerce')\n",
"# remove rows where 'Created At' is NaT\n",
"df = df.dropna(subset=['Created At'])\n",
"\n",
"df['Month_Year'] = df['Created At'].dt.strftime('%m/%Y')\n",
"df.head()\n",
"\n",
"df.to_csv('data/distilbert-usa.csv', index=False)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "829d418b",
"metadata": {},
"outputs": [],
"source": []
}
],
"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": "3.11.4"
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"nbformat_minor": 5
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