one more ts exercise

exercise5_timeseries.ipynb

@@ -0,0 +1,51 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib inline\n",
+    "#ftp://ftp.ncdc.noaa.gov/pub/data/cdo/documentation/PRECIP_15_documentation.pdf\n",
+    "\n",
+    "'''\n",
+    "QPCP: The amount of precipitation recorded at the station for the 15 minute period\n",
+    "ending at the time specified for DATE above given in hundredths of inches or tenths of\n",
+    "millimeters depending on user’s specification of standard or metric units.\n",
+    "\n",
+    "HT==hundredths of inches\n",
+    "'''\n",
+    "\n",
+    "#What does the daily precipitation accumulation look like?\n",
+    "\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "df=pd.read_csv(\"datasets/1934033.csv\")\n",
+    "df=df[df[\"STATION\"]==\"COOP:200230\"] #A2 campus\n",
+    "df.head()"
+   ]
+  }
+ ],
+ "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": "3.7.3"
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+ "nbformat": 4,
+ "nbformat_minor": 2
+}