--- a/gaiac_pm_data_pulling/.ipynb_checkpoints/Untitled-checkpoint.ipynb	Thu Jul 10 19:40:59 2025 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,6 +0,0 @@
-{
- "cells": [],
- "metadata": {},
- "nbformat": 4,
- "nbformat_minor": 5
-}

--- a/gaiac_pm_data_pulling/Untitled.ipynb	Thu Jul 10 19:40:59 2025 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,136 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "4707b84c-b2f9-4740-bd62-a159e2c7e123",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pandas as pd"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "c9870ed9-90cc-427b-b811-bd94c6b867c9",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "a = [1,2,4,6]\n",
-    "b = [4,5,6,7]\n",
-    "\n",
-    "df = pd.DataFrame([a,b])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "502e66d5-022d-47af-a299-a918f0ebd887",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
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-       "</style>\n",
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-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.T"
-   ]
-  },
-  {
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-   "execution_count": null,
-   "id": "f39e7015-3e8b-4123-8ec7-c05547ee28b1",
-   "metadata": {},
-   "outputs": [],
-   "source": []
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- },
- "nbformat": 4,
- "nbformat_minor": 5
-}