save jupyter notebook

vmieres · Nov 6, 2020 · 2c9b076 · 2c9b076
1 parent b49e212
commit 2c9b076
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diff --git a/.ipynb_checkpoints/Project1-checkpoint.ipynb b/.ipynb_checkpoints/Project1-checkpoint.ipynb
@@ -0,0 +1,59 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Initial imports\n",
+    "import os\n",
+    "import requests\n",
+    "import pandas as pd\n",
+    "from pathlib import Path"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# set path\n",
+    "gold_csv_path = Path(\"../Resources/annual_wages.csv\")\n",
+    "wages_csv_path = Path(\"../Resources/annual_wages.csv\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "gold_price_df = pd.read_csv(gold_csv_path, index_col=\"Date\", parse_dates=True, infer_datetime_format=True)\n",
+    "annual_wages_df = pd.read_csv(wages_csv_path, index_col=\"Date\", parse_dates=True, infer_datetime_format=True)\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.7.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/Project1.ipynb b/Project1.ipynb
@@ -0,0 +1,59 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Initial imports\n",
+    "import os\n",
+    "import requests\n",
+    "import pandas as pd\n",
+    "from pathlib import Path"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# set path\n",
+    "gold_csv_path = Path(\"../Resources/annual_wages.csv\")\n",
+    "wages_csv_path = Path(\"../Resources/annual_wages.csv\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "gold_price_df = pd.read_csv(gold_csv_path, index_col=\"Date\", parse_dates=True, infer_datetime_format=True)\n",
+    "annual_wages_df = pd.read_csv(wages_csv_path, index_col=\"Date\", parse_dates=True, infer_datetime_format=True)\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.7.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}