mirror of
https://github.com/Unidata/python-awips.git
synced 2025-02-24 06:57:56 -05:00
- fixed the imports sentence - fixed the a/an instance in the get_color() section - updated the Significance section with text and link for phensig pamphlet - updated the note about 6 vs 12 hours of data - added a comma for the Extract Phensigs, Geometries, and Times section name - changed the println in the Extract... section - removed the geom_count variable in the Extract section since it was only used for the previous println - changed the plot title to not have seconds for the time, and add UTC for clarity - added an additional link for the phensig pamphlet in the "See Also" section
703 lines
272 KiB
Text
703 lines
272 KiB
Text
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Python-AWIPS Tutorial Notebook"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"---\n",
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"\n",
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"\n",
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"# Objectives\n",
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"\n",
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"* Create a colorized plot with [Warnings, Watches, Advisories and Statements (WWAs)](https://weather.cod.edu/notes/criteria/)\n",
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"* Use python-awips to connect to an EDEX server\n",
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"* Create and filter the data request specifically for a warning data type\n",
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"* Create and use accurate time filter for data requests\n",
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"* Define and use functions\n",
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"* Define and use dictionaries\n",
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"* Colorize shapes based on a dictionary\n",
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"* Overlay warnings, watches, and advisories with state and political maps\n",
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"\n",
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"---"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Table of Contents\n",
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"\n",
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"[1 Imports](https://unidata.github.io/python-awips/examples/generated/Watch_Warning_and_Advisory_Plotting.html#imports)<br> \n",
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"[2 Functions: make_map()](https://unidata.github.io/python-awips/examples/generated/Watch_Warning_and_Advisory_Plotting.html#functions-make-map)<br> \n",
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"[3 Functions: get_color()](https://unidata.github.io/python-awips/examples/generated/Watch_Warning_and_Advisory_Plotting.html#functions-get-color)<br> \n",
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"[4 Functions: get_title()](https://unidata.github.io/python-awips/examples/generated/Watch_Warning_and_Advisory_Plotting.html#functions-get-title)<br> \n",
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"[5 Initial Setup](https://unidata.github.io/python-awips/examples/generated/Watch_Warning_and_Advisory_Plotting.html#initial-setup)<br> \n",
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" [5.1 EDEX Connection](https://unidata.github.io/python-awips/examples/generated/Watch_Warning_and_Advisory_Plotting.html#edex-connection)<br> \n",
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" [5.2 Significance (Sig) Constraints](https://unidata.github.io/python-awips/examples/generated/Watch_Warning_and_Advisory_Plotting.html#significance-sig-constraints)<br> \n",
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"[6 Filter by Time](https://unidata.github.io/python-awips/examples/generated/Watch_Warning_and_Advisory_Plotting.html#filter-by-time)<br> \n",
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"[7 Use the Data!](https://unidata.github.io/python-awips/examples/generated/Watch_Warning_and_Advisory_Plotting.html#use-the-data)<br> \n",
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" [7.1 Get the Data](https://unidata.github.io/python-awips/examples/generated/Watch_Warning_and_Advisory_Plotting.html#get-the-data)<br> \n",
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" [7.2 Extract Phensigs, Geometries, and Times](https://unidata.github.io/python-awips/examples/generated/Watch_Warning_and_Advisory_Plotting.html#extract-phensigs-geometries-and-times)<br> \n",
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"[8 Plot the Data!](https://unidata.github.io/python-awips/examples/generated/Watch_Warning_and_Advisory_Plotting.html#plot-the-data)<br> \n",
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" [8.1 Create State and Political Boundaries](https://unidata.github.io/python-awips/examples/generated/Watch_Warning_and_Advisory_Plotting.html#create-state-and-political-boundaries)<br> \n",
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" [8.2 Draw the Plot and Legend for WWAs](https://unidata.github.io/python-awips/examples/generated/Watch_Warning_and_Advisory_Plotting.html#draw-the-plot-and-legend-for-wwas)<br> \n",
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"[9 See Also](https://unidata.github.io/python-awips/examples/generated/Watch_Warning_and_Advisory_Plotting.html#see-also)<br> \n",
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" [9.1 Related Notebooks](https://unidata.github.io/python-awips/examples/generated/Watch_Warning_and_Advisory_Plotting.html#related-notebooks)<br> \n",
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" [9.2 Additional Documentation](https://unidata.github.io/python-awips/examples/generated/Watch_Warning_and_Advisory_Plotting.html#additional-documentation)<br> "
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 1 Imports\n",
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"\n",
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"The imports below are used throughout the notebook. The python-awips imports allow us to connect to an EDEX server, use the warning lookup dictionary, and define a TimeRange. The additional imports are for data manipulation and visualization. "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"from datetime import datetime, timedelta\n",
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"\n",
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"import numpy as np\n",
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"import matplotlib.patches as mpatches\n",
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"import matplotlib.pyplot as plt\n",
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"import cartopy.crs as ccrs\n",
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"import cartopy.feature as cfeature\n",
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"from cartopy.feature import ShapelyFeature, NaturalEarthFeature\n",
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"from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n",
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"from shapely.geometry import MultiPolygon, Polygon\n",
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"\n",
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"from awips.dataaccess import DataAccessLayer\n",
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"from awips.tables import vtec\n",
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"from dynamicserialize.dstypes.com.raytheon.uf.common.time import TimeRange"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"[Top](https://unidata.github.io/python-awips/examples/generated/Watch_Warning_and_Advisory_Plotting.html)\n",
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"\n",
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"---"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 2 Function: make_map()\n",
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"\n",
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"In order to plot more than one image, it's easiest to define common logic in a function. However, for this notebook we only use it in one place. It is a function you will find in most of our example notebooks.\n",
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"\n",
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"Here, a new function called **make_map** is defined. This function uses the [matplotlib.pyplot package (plt)](https://matplotlib.org/3.3.3/api/_as_gen/matplotlib.pyplot.html) to create a figure and axis. The lat/lon grids are added."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"def make_map(bbox, projection=ccrs.PlateCarree()):\n",
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" fig, ax = plt.subplots(figsize=(20,12),\n",
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" subplot_kw=dict(projection=projection))\n",
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" ax.set_extent(bbox)\n",
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" gl = ax.gridlines(draw_labels=True)\n",
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" gl.top_labels = gl.right_labels = False\n",
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" gl.xformatter = LONGITUDE_FORMATTER\n",
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" gl.yformatter = LATITUDE_FORMATTER\n",
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" return fig, ax"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"[Top](https://unidata.github.io/python-awips/examples/generated/Watch_Warning_and_Advisory_Plotting.html)\n",
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"\n",
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"---"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 3 Function: get_color()\n",
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"\n",
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"Since we'll be needing to access the color using the vtec lookup table in several places, creating an easily recognizable function is useful."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"def get_color(phensig):\n",
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" return vtec[phensig]['color']"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"[Top](https://unidata.github.io/python-awips/examples/generated/Watch_Warning_and_Advisory_Plotting.html)\n",
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"\n",
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"---"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 4 Function get_title()\n",
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"\n",
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"Similar to the color function just defined, accessing the full name for the phensig will also be necessary, so this function will be helpful."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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"def get_title(phensig):\n",
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" return vtec[phensig]['hdln']"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"[Top](https://unidata.github.io/python-awips/examples/generated/Watch_Warning_and_Advisory_Plotting.html)\n",
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"\n",
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"---"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 5 Inital Setup"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### 5.1 EDEX Connection\n",
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"\n",
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"First we establish a connection to Unidata's public EDEX server. With that connection made, we can create a [new data request object](http://unidata.github.io/python-awips/api/IDataRequest.html) and set the data type to ***warning***, and set the Parameters to ***phensig*** and ***sig***.\n",
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"\n",
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"<br>\n",
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"<div class=\"alert-info\">\n",
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"<b>Note:</b> Remember, to see all available parameters use the <a href=\"http://unidata.github.io/python-awips/api/DataAccessLayer.html#awips.dataaccess.DataAccessLayer.getAvailableParameters\"><b>DataAccess.getAvailableParameters()</b></a> method as shown in the <a href=\"http://unidata.github.io/python-awips/examples/generated/Grid_Levels_and_Parameters.html#get-available-parameters\"><b>Grid Levels and Parameters Notebook.</b></a>\n",
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"</div>"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [],
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"source": [
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"DataAccessLayer.changeEDEXHost(\"edex-cloud.unidata.ucar.edu\")\n",
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"request = DataAccessLayer.newDataRequest()\n",
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"request.setDatatype(\"warning\")\n",
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"params = [\"phensig\", \"sig\"]\n",
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"request.setParameters(*(params))"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### 5.2 Significance (Sig) Constants\n",
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"\n",
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"The two parameters we're requesting for our warning objects are ***phensig*** and ***sig*** where phensig is styled \"XX.Y\" and sig is \"Y\". Phen stands for \"Phenomena\" and sig stands for \"Significance\". [A more detailed description of phensigs and how they're used is provided with this NWS pamphlet](https://www.weather.gov/media/vtec/VTEC_explanation4-20.pdf).\n",
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"\n",
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"The constants in this section correlate the ***sig*** to what type of message it is (what significance it is)."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
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"outputs": [],
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"source": [
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"WATCH_SIG = 'A'\n",
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"WARN_SIG = 'W'\n",
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"ADVIS_SIG = 'Y'\n",
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"STATEM_SIG = 'S'"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"[Top](https://unidata.github.io/python-awips/examples/generated/Watch_Warning_and_Advisory_Plotting.html)\n",
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"\n",
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"---"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 6 Filter by Time\n",
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"\n",
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"Here we decide how much data we want to pull from EDEX. By default we'll request 12 hours, but that value can easily be modified by [adjusting the `timedelta(hours = 12)`](https://docs.python.org/3/library/datetime.html#timedelta-objects) in line `2`. The more data we request, the longer the next section will take to run."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Get records from the last 12 hours\n",
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"lastHourDateTime = datetime.utcnow() - timedelta(hours = 12)\n",
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"start = lastHourDateTime.strftime('%Y-%m-%d %H:%M:%S')\n",
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"end = datetime.utcnow().strftime('%Y-%m-%d %H:%M:%S')\n",
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"\n",
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"beginRange = datetime.strptime( start , \"%Y-%m-%d %H:%M:%S\")\n",
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"endRange = datetime.strptime( end , \"%Y-%m-%d %H:%M:%S\")\n",
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"timerange = TimeRange(beginRange, endRange)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"[Top](https://unidata.github.io/python-awips/examples/generated/Watch_Warning_and_Advisory_Plotting.html)\n",
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"\n",
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"---"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 7 Use the Data!"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### 7.1 Get the Data\n",
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"\n",
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"Now that we have our `request` and TimeRange `timerange` objects ready, it's time to request the data array from EDEX.\n",
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"\n",
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"<br>\n",
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"<div class=\"alert-info\">\n",
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"<b>Note:</b> Above we set <b>timerange</b> to be 12 hours worth of data. This can return on the order of ~2000 records and can take a little while to run.\n",
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"</div>"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Using 1502 records\n"
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]
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}
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],
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"source": [
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"# Get response\n",
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"response = DataAccessLayer.getGeometryData(request, timerange)\n",
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"print(\"Using \" + str(len(response)) + \" records\")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### 7.2 Extract Phensigs, Geometries, and Times\n",
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"\n",
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"In this section we start gathering all the information we'll need to properly display our data. First we create an array to keep track of unique phensigs. This is useful summary information and will be used to help create the legend which we'll display along with our plot.\n",
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"\n",
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"Next, we create arrays for each of the 4 types of significance a statement can have. We will group our records this way, so we can easily toggle which records to display or not.\n",
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"\n",
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"Then, we create two time variables to keep track of the earliest time from our records and the latest time, and will display that information in the title of our plot.\n",
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"\n",
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"This section has optional print statements at lines `65` and `85`. The first prints out the title, phensig, ref time, and shape for each unique phensig, and the second prints out a sum of how many unique phensigs there are.\n",
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"\n",
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"We cycle through all the data produced from our `response` object, access its geometries, and create a new [**ShapelyFeature**](https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.feature.ShapelyFeature.html) with the corresponding color. Then we place this new feature in the appropriate `shapes` array. During this process we also populate the phensigs array with all unique phensig entries.\n",
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"\n",
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"Finally, after we're done looping through all the `response` data, we create a mapping of phensigs to their corresponding titles. This will be used later to sort the legend alphabetically by titles (which differs from simply sorting by phensig). Ex. *Blizzard Warning (BZ.W)* would come before *Areal Flood Advisory (FA.Y)* if we simply sorted by phensig."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {
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"scrolled": false
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"14 Unique Phensigs\n"
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]
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}
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],
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"source": [
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"# Keep track of unique phensigs, to use in legend\n",
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"phensigs = []\n",
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"\n",
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"# Sort the geometries based on their sig\n",
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"watch_shapes = []\n",
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"warning_shapes = []\n",
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"advisory_shapes = []\n",
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"statement_shapes = []\n",
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"\n",
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"# Keep track of the earliest and latest reftime for title\n",
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"# start with the first time from the first object in the response\n",
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"time_str = str(response[0].getDataTime().getRefTime())\n",
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"# truncate the decimal seconds for datetime parsing\n",
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"time_str = time_str[:-4]\n",
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"# convert to datetime object for easy comparison\n",
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"first_time = datetime.strptime(time_str, '%Y-%m-%d %H:%M:%S')\n",
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"last_time = datetime.strptime(time_str, '%Y-%m-%d %H:%M:%S')\n",
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"\n",
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"for ob in response:\n",
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" \n",
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" # get the geometry for the object\n",
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" poly = ob.getGeometry()\n",
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" # get the reftime for the object\n",
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" ref = ob.getDataTime().getRefTime()\n",
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" \n",
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" # do not plot if phensig is blank (SPS)\n",
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" if ob.getString('phensig'):\n",
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" \n",
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" # look at the reftime\n",
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" # convert reftime to a string and parse the decimal seconds\n",
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" ref_str = str(ref)\n",
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" ref_str = ref_str[:-4]\n",
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" # convert reftime to a datetime object for comparison\n",
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" ref_time = datetime.strptime(ref_str, '%Y-%m-%d %H:%M:%S')\n",
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" # compare current time with first and last times and set if appropriate\n",
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" if ref_time is not None:\n",
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" if ref_time < first_time:\n",
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" first_time = ref_time\n",
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" elif ref_time > last_time:\n",
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" last_time = ref_time\n",
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" \n",
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" # get the phensig and sig values from object\n",
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" phensigString = ob.getString('phensig')\n",
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" sig = ob.getString('sig')\n",
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"\n",
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" # set the geometries based on whether it's a MultiPolygon or Polygon\n",
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" if poly.geom_type == 'MultiPolygon':\n",
|
|
" geometries = np.array([])\n",
|
|
" geometries = np.append(geometries,MultiPolygon(poly))\n",
|
|
" else:\n",
|
|
" geometries = np.array([])\n",
|
|
" geometries = np.append(geometries,Polygon(poly))\n",
|
|
"\n",
|
|
" for geom in geometries:\n",
|
|
" bounds = Polygon(geom)\n",
|
|
" intersection = bounds.intersection\n",
|
|
" geoms = (intersection(geom) for geom in geometries if bounds.intersects(geom))\n",
|
|
" \n",
|
|
" # Store the unique phensigs\n",
|
|
" if not phensigString in phensigs:\n",
|
|
" phensigs.append(phensigString)\n",
|
|
" # Optional printout of unique Phensigs\n",
|
|
"# print(get_title(phensigString) + \" (\" + phensigString + \")\n",
|
|
" \n",
|
|
" # get the corresponding color using the dictionary\n",
|
|
" color = get_color(phensigString)\n",
|
|
" # create a new shape feature for the object\n",
|
|
" shape_feature = ShapelyFeature(geoms,ccrs.PlateCarree(), \n",
|
|
" facecolor=color, edgecolor=color)\n",
|
|
" # store the shape feature in the correct array\n",
|
|
" if sig is WARN_SIG:\n",
|
|
" warning_shapes.append(shape_feature)\n",
|
|
" elif sig is WATCH_SIG:\n",
|
|
" watch_shapes.append(shape_feature)\n",
|
|
" elif sig is ADVIS_SIG:\n",
|
|
" advisory_shapes.append(shape_feature)\n",
|
|
" elif sig is STATEM_SIG:\n",
|
|
" statement_shapes.append(shape_feature)\n",
|
|
"\n",
|
|
"# Optional printout for the number of unique phensigs\n",
|
|
"print(len(phensigs), \" Unique Phensigs\")\n",
|
|
"\n",
|
|
"# Map phensigs to their titles (used for displaying alphabetically by\n",
|
|
"# title in legend)\n",
|
|
"phensig_titles = {}\n",
|
|
"for phensig in phensigs:\n",
|
|
" key = get_title(phensig)\n",
|
|
" phensig_titles[key] = phensig"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"[Top](https://unidata.github.io/python-awips/examples/generated/Watch_Warning_and_Advisory_Plotting.html)\n",
|
|
"\n",
|
|
"---"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## 8 Plot the Data!"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"### 8.1 Create State and Political Boundaries\n",
|
|
"\n",
|
|
"Define the state and political boundaries that we'll use in our plot to give more of a frame of reference. These objects are standard method calls in the [Cartopy Feature package, using the NaturalEarthFeature function](https://scitools.org.uk/cartopy/docs/v0.14/matplotlib/feature_interface.html#cartopy.feature.NaturalEarthFeature)."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 10,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# Define the state and political boundaries for the plot \n",
|
|
"states_provinces = cfeature.NaturalEarthFeature(\n",
|
|
" category='cultural',\n",
|
|
" name='admin_1_states_provinces_lines',\n",
|
|
" scale='50m',\n",
|
|
" facecolor='none')\n",
|
|
"political_boundaries = cfeature.NaturalEarthFeature(category='cultural',\n",
|
|
" name='admin_0_boundary_lines_land',\n",
|
|
" scale='50m', facecolor='none')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"### 8.2 Draw the Plot and Legend for WWAs\n",
|
|
"\n",
|
|
"Here is where we finally get ot draw something! The very first few lines of this section are constants that we can manually \"switch on and off\" for what records we want displayed. By default we have all significance types drawn. If we want to \"turn off\" any of the significance records, simply set it's corresponding constant to false, and re-run this cell to see how that plot compares.\n",
|
|
"\n",
|
|
"The next step involves creating the objects that are used to define the legend. We use the `phensig_titles` dictionary to loop through all the phensigs in alphabetical (by title) order. Then, we compare if the phensig will be displayed or not based on the display constants from the previous lines. If the significance will be drawn then we create a new [**Patch** object](https://matplotlib.org/stable/api/_as_gen/matplotlib.patches.Patch.html#matplotlib.patches.Patch) of the corresponding color with the corresponding label and add it to our `handles` array.\n",
|
|
"\n",
|
|
"After that we define our bounding box and create our new plot with its figure and axes.\n",
|
|
"\n",
|
|
"Our next step is to create our Title for our plot. We create a title based on the draw variables to accurately describe what is being drawn in our plot. Here is where we use the first and last times defined in a previous cell.\n",
|
|
"\n",
|
|
"Finally, we create and show our plot. We add the title to the plot, add all the features to the axes, and add the legend as well. "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 11,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 1440x864 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# Set these variables for which records to draw\n",
|
|
"DRAW_ADVISORY = True\n",
|
|
"DRAW_WATCH = True\n",
|
|
"DRAW_WARNING = True\n",
|
|
"DRAW_STATEMENT = True\n",
|
|
" \n",
|
|
"# Create handles for legend and add items alphabetically by title and\n",
|
|
"# only display based on the display values above\n",
|
|
"handles = []\n",
|
|
"for title in sorted(phensig_titles):\n",
|
|
" phensig = phensig_titles[title]\n",
|
|
" # check draw booleans\n",
|
|
" if ( \".\"+ADVIS_SIG in phensig and DRAW_ADVISORY or \n",
|
|
" \".\"+WATCH_SIG in phensig and DRAW_WATCH or \n",
|
|
" \".\"+WARN_SIG in phensig and DRAW_WARNING or \n",
|
|
" \".\"+STATEM_SIG in phensig and DRAW_STATEMENT ):\n",
|
|
" entry = mpatches.Patch(color=get_color(phensig), label=title)\n",
|
|
" handles.append(entry)\n",
|
|
"\n",
|
|
"# Create the plot\n",
|
|
"bbox=[-127,-64,24,49]\n",
|
|
"fig, ax = make_map(bbox=bbox)\n",
|
|
"\n",
|
|
"# Add the title\n",
|
|
"# Construct the title based on which record types are being displayed\n",
|
|
"title_string = \"\"\n",
|
|
"if DRAW_WATCH:\n",
|
|
" title_string += \"Watches, \"\n",
|
|
"if DRAW_WARNING:\n",
|
|
" title_string += \"Warnings, \"\n",
|
|
"if DRAW_ADVISORY:\n",
|
|
" title_string += \"Advisories, \"\n",
|
|
"if DRAW_STATEMENT:\n",
|
|
" title_string += \"Statements, \"\n",
|
|
"# remove the last comma and space\n",
|
|
"title_string = title_string[:-2]\n",
|
|
"# add the time range\n",
|
|
"title_string += \" from \" + str(first_time)[:-3] + \" to \" + str(last_time)[:-3] + \" UTC\"\n",
|
|
"# set the title on the plot, give it a bigger font size, and increase\n",
|
|
"# the vertical padding between the title and the figure\n",
|
|
"plt.title(title_string, fontsize=20, pad=10)\n",
|
|
"\n",
|
|
"# Draw all features on the plot\n",
|
|
"ax.add_feature(cfeature.LAND)\n",
|
|
"ax.add_feature(cfeature.COASTLINE)\n",
|
|
"ax.add_feature(states_provinces, edgecolor='black')\n",
|
|
"ax.add_feature(political_boundaries, edgecolor='black')\n",
|
|
"\n",
|
|
"# Draw WWAs in order: Advisory -> Watch > Warning > Statement\n",
|
|
"if DRAW_ADVISORY:\n",
|
|
" for shape in advisory_shapes:\n",
|
|
" ax.add_feature(shape)\n",
|
|
"if DRAW_WATCH:\n",
|
|
" for shape in watch_shapes:\n",
|
|
" ax.add_feature(shape)\n",
|
|
"if DRAW_WARNING:\n",
|
|
" for shape in warning_shapes:\n",
|
|
" ax.add_feature(shape)\n",
|
|
"if DRAW_STATEMENT:\n",
|
|
" for shape in statement_shapes:\n",
|
|
" ax.add_feature(shape)\n",
|
|
" \n",
|
|
"# Draw the legend\n",
|
|
"# use the handles defined earlier for the color associations to\n",
|
|
"# phensig titles, set the location to the lower center, give it\n",
|
|
"# 5 columns so it uses all the horizonatal space, place it under\n",
|
|
"# the actual figure, and give it a larger fontsize\n",
|
|
"bottom = 0.12 + (len(handles)//5 *.04)\n",
|
|
"ax.legend(handles=handles, loc='lower center', ncol=5, bbox_to_anchor=(0.5, -bottom), fontsize=16)\n",
|
|
"\n",
|
|
"# Show the plot\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"[Top](https://unidata.github.io/python-awips/examples/generated/Watch_Warning_and_Advisory_Plotting.html)\n",
|
|
"\n",
|
|
"---"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## 9 See Also\n",
|
|
"\n",
|
|
"- [National Weather Service WWA Definitions (Baltimore Office)](https://www.weather.gov/lwx/warningsdefined#:~:text=A%20Winter%20Storm%20Warning%20is%20issued%20when%20a,combination%20of%20snow%20and%2For%20ice%20accumulation%20with%20wind.)\n",
|
|
"- [College of Dupage WWA Definitions](https://weather.cod.edu/notes/criteria/)\n",
|
|
"- [Phensig Explanation](https://www.weather.gov/media/vtec/VTEC_explanation4-20.pdf)\n",
|
|
"\n",
|
|
"### 9.1 Related Notebooks\n",
|
|
"\n",
|
|
"- [Grid Levels and Parameters](http://unidata.github.io/python-awips/examples/generated/Grid_Levels_and_Parameters.html)\n",
|
|
"\n",
|
|
"### 9.2 Additional Documentation\n",
|
|
"\n",
|
|
"**python-awips**\n",
|
|
"\n",
|
|
"- [DataAccessLayer.changeEDEXHost()](http://unidata.github.io/python-awips/api/DataAccessLayer.html#awips.dataaccess.DataAccessLayer.changeEDEXHost)\n",
|
|
"- [DataAccessLayer.newDataRequest()](http://unidata.github.io/python-awips/api/DataAccessLayer.html#awips.dataaccess.DataAccessLayer.newDataRequest)\n",
|
|
"- [DataAccessLayer.getAvailableParameters()](http://unidata.github.io/python-awips/api/DataAccessLayer.html#awips.dataaccess.DataAccessLayer.getAvailableParameters)\n",
|
|
"- [IDataRequest](http://unidata.github.io/python-awips/api/IDataRequest.html)\n",
|
|
"- [GeometryData](http://unidata.github.io/python-awips/api/PyGeometryData.html)\n",
|
|
"\n",
|
|
"**datetime**\n",
|
|
"\n",
|
|
"- [datetime.datetime](https://docs.python.org/3/library/datetime.html#datetime-objects)\n",
|
|
"- [datetime.timedelta](https://docs.python.org/3/library/datetime.html#timedelta-objects)\n",
|
|
"\n",
|
|
"**cartopy**\n",
|
|
"\n",
|
|
"- [cartopy feature interface](https://scitools.org.uk/cartopy/docs/v0.14/matplotlib/feature_interface.html)\n",
|
|
"- [cartopy.feature.ShaeplyFeature](https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.feature.ShapelyFeature.html)\n",
|
|
"\n",
|
|
"**matplotlib**\n",
|
|
"\n",
|
|
"- [matplotlib.pyplot()](https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.html)\n",
|
|
"- [matplotlib.pyplot.legend()](https://matplotlib.org/3.1.1/api/_as_gen/matplotlib.pyplot.legend.html)\n",
|
|
"- [matplotlib.pyplot.axes()](https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axes.html)\n",
|
|
"- [matplotlib.pyplot.figure()](https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html)\n",
|
|
"- [matplotlib.pyplot.title()](https://matplotlib.org/3.1.1/api/_as_gen/matplotlib.pyplot.title.html)\n",
|
|
"- [matplotlib.pathes.Patch](https://matplotlib.org/stable/api/_as_gen/matplotlib.patches.Patch.html#matplotlib.patches.Patch)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"[Top](https://unidata.github.io/python-awips/examples/generated/Watch_Warning_and_Advisory_Plotting.html)\n",
|
|
"\n",
|
|
"---"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
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|
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"display_name": "Python 3",
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"language_info": {
|
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"codemirror_mode": {
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"name": "ipython",
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|
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
|
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|
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|
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|
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"title_cell": "Table of Contents",
|
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"title_sidebar": "Contents",
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