Upload date-conversion.ipynb

date-conversion.ipynb

@@ -0,0 +1,54 @@
+{
+ "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"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}