{ "cells": [ { "cell_type": "markdown", "id": "c165867a-5fe2-4c4d-ad8e-3f1e4d74a3b4", "metadata": {}, "source": [ "# Interactive Weathergami\n", "\n", "![Interactive weathergami plot for Chicago, IL](../images/interactive-weathergami.png)\n", "\n", "## Motivation\n", "\n", "\n", "Scorigami is an interesting concept. It's an event in sports where a final score has never happened in its history. For example, in the National Football League, a 20-17 score has happened over 285 times, but a 70-20 score has only happened once. When the Miami Dolphins beat the Denver Broncos 70-20 on September 24th, 2023, that was considered a scorigami!\n", "\n", "Well, inspired by this, Jonathan Kahl wrote an article in the Bulletin of the American Meteorological Society describing the concept of 'WeatherGami', utilizing the days Maximum and Minimum temperature at a given area. Since NOAA NCEI holds all of the worlds weather data, it makes sense to see how WeatherGami works on their station database. This code reproduces the results!\n", "\n", "Jared Rennie then wrote [a notebook](https://github.com/jjrennie/weathergami) reproducing similar figures in a notebook, and I modified that notebook to add in some additional plotting tools to make plots interactive + easily configure a dashboard! In this example, I am interested in how common a combination of:\n", "- high temperature of 46 degrees Fahrenheit\n", "- low temperature of 33 degrees Fahrenheit\n", "is at Chicago O'Hare airport.\n", "\n", "\n", "## What You Need\n", "\n", "First off, the entire codebase works in Python 3. In addition to base Python, you will need the following packages installed: \n", "- requests (to access the api)\n", "- pandas (to slice annd dice the data)\n", "- matplotlib (to plot!)\n", "- cmweather (for neat weather colorbars)\n", "- holoviews + hvplot (for interactive plotting)\n", " \n", "The \"easiest\" way is to install these is by installing anaconda, and then applying conda-forge. Afterward, then you can install the above packages.\n", "\n", "```\n", "conda install -c conda-forge requests pandas matplotlib cmweather holoviews hvplot\n", "```\n", "\n", "## Importing Packages\n", "Assuming you did the above, it should (in theory) import everything no problem:" ] }, { "cell_type": "code", "execution_count": 3, "id": "944292e8-de3f-4eb7-8ca7-f0506e4baaea", "metadata": { "tags": [] }, "outputs": [ { "data": { "application/javascript": [ "(function(root) {\n", " function now() {\n", " return new Date();\n", " }\n", "\n", " var force = true;\n", " var py_version = '3.2.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n", " var is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1;\n", " var reloading = false;\n", " var Bokeh = root.Bokeh;\n", " var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n", "\n", " if (typeof (root._bokeh_timeout) === \"undefined\" || 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1104 | \n", "46.0 | \n", "44.0 | \n", "1 | \n", "0.004208 | \n", "
1106 | \n", "47.0 | \n", "14.0 | \n", "1 | \n", "0.004208 | \n", "
1107 | \n", "47.0 | \n", "15.0 | \n", "1 | \n", "0.004208 | \n", "
1111 | \n", "47.0 | \n", "20.0 | \n", "1 | \n", "0.004208 | \n", "
... | \n", "... | \n", "... | \n", "... | \n", "... | \n", "
2252 | \n", "80.0 | \n", "62.0 | \n", "36 | \n", "0.151502 | \n", "
2417 | \n", "85.0 | \n", "65.0 | \n", "37 | \n", "0.155711 | \n", "
2287 | \n", "81.0 | \n", "63.0 | \n", "37 | \n", "0.155711 | \n", "
2415 | \n", "85.0 | \n", "63.0 | \n", "37 | \n", "0.155711 | \n", "
2449 | \n", "86.0 | \n", "68.0 | \n", "38 | \n", "0.159919 | \n", "
2750 rows × 4 columns
\n", "