fix notebook formatting

docs/examples/get_skewt_vars.ipynb

@@ -0,0 +1,204 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# `get_skewt_vars`\n",
+    "\n",
+    "This notebook is a simple example of the GeoCAT-viz function <a href=\"../user_api/generated/geocat.viz.util.get_skewt_vars.html#geocat-viz.util.get_skewt_vars\">get_skewt_vars</a>."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Import packages:\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import matplotlib.lines as mlines\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "from metpy.plots import SkewT\n",
+    "from metpy.units import units\n",
+    "import metpy.calc as mpcalc\n",
+    "\n",
+    "import geocat.viz as gv\n",
+    "import geocat.datafiles as gdf"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Read in data\n",
+    "\n",
+    "# Open a ascii data file using pandas' read_csv function\n",
+    "ds = pd.read_csv(gdf.get('ascii_files/sounding.testdata'),\n",
+    "                 delimiter='\\\\s+',\n",
+    "                 header=None)\n",
+    "\n",
+    "# Extract the data\n",
+    "p = ds[1].values * units.hPa  # Pressure [mb/hPa]\n",
+    "tc = (ds[5].values + 2) * units.degC  # Temperature [C]\n",
+    "tdc = ds[9].values * units.degC  # Dew pt temp  [C]\n",
+    "\n",
+    "# Create dummy wind data\n",
+    "wspd = np.linspace(0, 150, len(p)) * units.knots  # Wind speed   [knots or m/s]\n",
+    "wdir = np.linspace(0, 360, len(p)) * units.degrees  # Meteorological wind dir\n",
+    "u, v = mpcalc.wind_components(wspd, wdir)  # Calculate wind components\n",
+    "\n",
+    "# Generate subtitle with Pressure of LCL, Temperature of LCL, Showalter Index,\n",
+    "# Precipitable Water, and CAPE\n",
+    "tc0 = tc[0]  # Temperature of surface parcel\n",
+    "tdc0 = tdc[0]  # Dew point temperature of surface parcel\n",
+    "pro = mpcalc.parcel_profile(p, tc0, tdc0)  # Temperature profile of parcel\n",
+    "subtitle = gv.get_skewt_vars(p, tc, tdc, pro)  # Create subtitle"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create plot:\n",
+    "\n",
+    "# Note that MetPy forces the x axis scale to be in Celsius and the y axis\n",
+    "# scale to be in hectoPascals. Once data is plotted, then the axes labels are\n",
+    "# automatically added\n",
+    "fig = plt.figure(figsize=(10, 12))\n",
+    "\n",
+    "# The rotation keyword changes how skewed the temperature lines are. MetPy has\n",
+    "# a default skew of 30 degrees\n",
+    "skew = SkewT(fig, rotation=45)\n",
+    "ax = skew.ax\n",
+    "\n",
+    "# Plot temperature and dew point\n",
+    "skew.plot(p, tc, color='black')\n",
+    "skew.plot(p, tdc, color='blue')\n",
+    "\n",
+    "# Draw parcel path\n",
+    "parcel_prof = mpcalc.parcel_profile(p, tc[0], tdc[0]).to('degC')\n",
+    "skew.plot(p, parcel_prof, color='red', linestyle='--')\n",
+    "u = np.where(p >= 100 * units.hPa, u, np.nan)\n",
+    "v = np.where(p >= 100 * units.hPa, v, np.nan)\n",
+    "p = np.where(ds[1].values >= 100, ds[1].values,\n",
+    "             np.nan)  # unitless for plot_barbs\n",
+    "\n",
+    "# Add wind barbs\n",
+    "skew.plot_barbs(pressure=p[::2],\n",
+    "                u=u[::2],\n",
+    "                v=v[::2],\n",
+    "                xloc=1.05,\n",
+    "                fill_empty=True,\n",
+    "                sizes=dict(emptybarb=0.075, width=0.1, height=0.2))\n",
+    "\n",
+    "# Draw line underneath wind barbs\n",
+    "line = mlines.Line2D([1.05, 1.05], [0, 1],\n",
+    "                     color='gray',\n",
+    "                     linewidth=0.5,\n",
+    "                     transform=ax.transAxes,\n",
+    "                     clip_on=False,\n",
+    "                     zorder=1)\n",
+    "ax.add_line(line)\n",
+    "\n",
+    "# Shade every other section between isotherms\n",
+    "x1 = np.linspace(-100, 40, 8)  # The starting x values for the shaded regions\n",
+    "x2 = np.linspace(-90, 50, 8)  # The ending x values for the shaded regions\n",
+    "y = [1050, 100]  # The range of y values that the shades regions should cover\n",
+    "for i in range(0, 8):\n",
+    "    skew.shade_area(y=y,\n",
+    "                    x1=x1[i],\n",
+    "                    x2=x2[i],\n",
+    "                    color='limegreen',\n",
+    "                    alpha=0.25,\n",
+    "                    zorder=1)\n",
+    "\n",
+    "# Choose starting temperatures in Kelvin for the dry adiabats\n",
+    "t0 = units.K * np.arange(243.15, 444.15, 10)\n",
+    "skew.plot_dry_adiabats(t0=t0, linestyles='solid', colors='tan', linewidths=1.5)\n",
+    "\n",
+    "# Choose starting temperatures in Kelvin for the moist adiabats\n",
+    "t0 = units.K * np.arange(281.15, 306.15, 4)\n",
+    "skew.plot_moist_adiabats(t0=t0,\n",
+    "                         linestyles='solid',\n",
+    "                         colors='lime',\n",
+    "                         linewidth=1.5)\n",
+    "\n",
+    "# Choose mixing ratios\n",
+    "w = np.array([0.001, 0.002, 0.003, 0.005, 0.008, 0.012, 0.020]).reshape(-1, 1)\n",
+    "\n",
+    "# Choose the range of pressures that the mixing ratio lines are drawn over\n",
+    "p_levs = units.hPa * np.linspace(1000, 400, 7)\n",
+    "\n",
+    "# Plot mixing ratio lines\n",
+    "skew.plot_mixing_lines(mixing_ratio=w,\n",
+    "                       pressure=p_levs,\n",
+    "                       linestyle='dashed',\n",
+    "                       colors='lime',\n",
+    "                       linewidths=1)\n",
+    "\n",
+    "# Use geocat.viz utility functions to set axes limits and ticks\n",
+    "gv.set_axes_limits_and_ticks(\n",
+    "    ax=ax,\n",
+    "    xlim=[-32, 38],\n",
+    "    yticks=[1000, 850, 700, 500, 400, 300, 250, 200, 150, 100])\n",
+    "\n",
+    "# Use geocat.viz utility function to change the look of ticks and ticklabels\n",
+    "gv.add_major_minor_ticks(ax=ax,\n",
+    "                         x_minor_per_major=1,\n",
+    "                         y_minor_per_major=1,\n",
+    "                         labelsize=14)\n",
+    "# The utility function draws tickmarks all around the plot. We only need ticks\n",
+    "# on the left and bottom edges\n",
+    "ax.tick_params('both', which='both', top=False, right=False)\n",
+    "\n",
+    "# Use geocat.viz utility functions to add labels\n",
+    "gv.set_titles_and_labels(ax=ax,\n",
+    "                         xlabel='Temperature (C)',\n",
+    "                         ylabel='P (hPa)',\n",
+    "                         labelfontsize=14)\n",
+    "\n",
+    "# Manually add suptitle and subtitle for appropriate positioning\n",
+    "fig.suptitle('Raob; [Wind Reports]', fontsize=24, y=0.92)\n",
+    "ax.set_title(subtitle, color='darkgoldenrod')\n",
+    "\n",
+    "# Change the style of the gridlines\n",
+    "plt.grid(True,\n",
+    "         which='major',\n",
+    "         axis='both',\n",
+    "         color='tan',\n",
+    "         linewidth=1.5,\n",
+    "         alpha=0.5)\n",
+    "\n",
+    "plt.show();"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "geocat_sandbox",
+   "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": "3.10.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}