{ "metadata": { "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.5-final" }, "orig_nbformat": 2, "kernelspec": { "name": "python3", "display_name": "Python 3", "language": "python" } }, "nbformat": 4, "nbformat_minor": 2, "cells": [ { "source": [ "# Daily Temperatures" ], "cell_type": "markdown", "metadata": {} }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import pandas as pd\n", "\n", "from hotstepper.utilities.helpers import prepare_datetime,get_clean_step_data\n", "from hotstepper import Steps\n", "\n", "import warnings\n", "warnings.filterwarnings(\"ignore\")" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " Date Temp\n", "0 1981-01-01 20.7\n", "1 1981-01-02 17.9\n", "2 1981-01-03 18.8\n", "3 1981-01-04 14.6\n", "4 1981-01-05 15.8" ], "text/html": "
| \n | Date | \nTemp | \n
|---|---|---|
| 0 | \n1981-01-01 | \n20.7 | \n
| 1 | \n1981-01-02 | \n17.9 | \n
| 2 | \n1981-01-03 | \n18.8 | \n
| 3 | \n1981-01-04 | \n14.6 | \n
| 4 | \n1981-01-05 | \n15.8 | \n