{ "cells": [ { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "%matplotlib inline" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n# NCL_xy_35.py\nThis script illustrates the following concepts:\n - Use of opacity resources\n to control opacity of curves and markers in\n XYPlots.\n - How to set line opacity and marker opacity to\n different values using RGBA tuples\n - Opacity is still functional in colorless plots\n\nSee following URLs to see the reproduced NCL plot & script:\n - Original NCL script: https://www.ncl.ucar.edu/Applications/Scripts/xy_35.ncl\n - Original NCL plot: https://www.ncl.ucar.edu/Applications/Images/xy_35_lg.png\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Import packages:\n\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "import numpy as np\nfrom matplotlib import pyplot as plt\nfrom matplotlib import colors\n\nfrom geocat.viz import util as gvutil" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Create data:\n\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "# Make array of x-values, 64 evenly spaced values between 0 and 1\nf = np.linspace(0., 1., 64)\n\ntwopi = 2 * np.pi\n\n# Create three arrays of y-values to be plotted\nx = np.cos(f * 2 * twopi)\ny = np.cos(f * 3 * twopi)\nz = x * y" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Plot:\n\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "# Create figure with 6 axes\nfig, axes = plt.subplots(figsize=(7, 10), nrows=3, ncols=2)\nplt.subplots_adjust(wspace=0.3, hspace=.4)\n\n# Plot first graph\naxesList = [\n axes[0, 0], axes[0, 1], axes[1, 0], axes[1, 1], axes[2, 0], axes[2, 1]\n]\n\n# Create array of titles of each plot\ntitles = [\n 'Opaque lines', 'Uniformly translucent', 'Independently translucent',\n 'Uniformly translucent markers', 'Independently translucent markers',\n 'Opacities still apply in MonoColor modes'\n]\n\n# Create ticks, axis limits, and titles for each of the 6 plots\nfor ax in range(6):\n\n # Use geocat-viz function to set main title of plot\n gvutil.set_titles_and_labels(axesList[ax],\n maintitle=titles[ax],\n maintitlefontsize=10)\n\n # Use geocat-viz function to set limits and tick locations on x and y axes\n gvutil.set_axes_limits_and_ticks(axesList[ax],\n xlim=[0, 1],\n ylim=[-1.2, 1.2],\n yticks=np.arange(-1.5, 1.5, 0.5),\n yticklabels=np.arange(-1.5, 1.5, 0.5))\n\n # Use geocat-viz function to add major and minor ticks on the x and y axes\n gvutil.add_major_minor_ticks(axesList[ax],\n x_minor_per_major=4,\n y_minor_per_major=5,\n labelsize=\"small\")\n\n# Set standard alpha (transparency) value\nalpha = 0.4\n\n# Plot first graph:\n\n# Plot x, y, and z lines\nline1 = axesList[0].plot(f, x, color='red')\nline2 = axesList[0].plot(f, y, color='limegreen')\nline3 = axesList[0].plot(f, z, color='blue')\n\n# Plot second graph:\n\n# Plot x, y, and z lines with the same level of transparency\nline1 = axesList[1].plot(f, x, color='red', alpha=alpha)\nline2 = axesList[1].plot(f, y, color='limegreen', alpha=alpha)\nline3 = axesList[1].plot(f, z, color='blue', alpha=alpha)\n\n# Plot third graph:\n\n# Plot x, y, and z lines with varying transparencies\nline1 = axesList[2].plot(f, x, color='red', alpha=0.8)\nline2 = axesList[2].plot(f, y, color='limegreen', alpha=0.4)\nline3 = axesList[2].plot(f, z, color='blue', alpha=0.15)\n\n# Plot fourth graph:\n\n# Plot x, y, and z lines and markers with same level of transparency\n# 'ms' is the marker size\n# 'markevery' allows you to place a marker every num steps in the x direction\n# 'mec' is marker edge color\n# 'mfc' is marker face color\nline1 = axesList[3].plot(f,\n x,\n 'o',\n ls='-',\n color='red',\n alpha=alpha,\n ms=3,\n markevery=.05,\n mec='None',\n mfc='limegreen')\nline2 = axesList[3].plot(f,\n y,\n 'o',\n ls='-',\n color='limegreen',\n alpha=alpha,\n ms=3,\n markevery=.05,\n mec='None',\n mfc='blue')\nline3 = axesList[3].plot(f,\n z,\n 'o',\n ls='-',\n color='blue',\n alpha=alpha,\n ms=3,\n markevery=.05,\n mec='None',\n mfc='red')\n\n# Plot fifth graph:\n\n# Create RGBA tuples for lines\nlcolor1 = colors.to_rgba('red', alpha=alpha)\nlcolor2 = colors.to_rgba('limegreen', alpha=alpha)\nlcolor3 = colors.to_rgba('blue', alpha=alpha)\n\n# Create RGBA tuples for markers\nmcolor1 = colors.to_rgba('limegreen', alpha=1.0)\nmcolor2 = colors.to_rgba('blue', alpha=0.4)\nmcolor3 = colors.to_rgba('red', alpha=0.15)\n\n# Plot x, y, and z lines and markers- the lines have the same\n# transparency level, but the markers vary in alpha value\nline1 = axesList[4].plot(f,\n x,\n 'o',\n ls='-',\n color=lcolor1,\n ms=3,\n markevery=.1,\n mec='None',\n mfc=mcolor1)\nline2 = axesList[4].plot(f,\n y,\n 'o',\n ls='-',\n color=lcolor2,\n ms=3,\n markevery=.1,\n mec='None',\n mfc=mcolor2)\nline3 = axesList[4].plot(f,\n z,\n 'o',\n ls='-',\n color=lcolor3,\n ms=3,\n markevery=.1,\n mec='None',\n mfc=mcolor3)\n\n# Plot sixth graph:\n\n# Create RGBA tuples for lines\nlcolor1 = colors.to_rgba('black', alpha=alpha)\nlcolor2 = colors.to_rgba('black', alpha=alpha)\nlcolor3 = colors.to_rgba('black', alpha=alpha)\n\n# Create RGBA tuples for markers\nmcolor1 = colors.to_rgba('black', alpha=1.0)\nmcolor2 = colors.to_rgba('black', alpha=0.4)\nmcolor3 = colors.to_rgba('black', alpha=0.15)\n\n# Plot x, y, and z lines and markers in black- the lines have the same\n# transparency level, but the markers vary in alpha value\nline1 = axesList[5].plot(f,\n x,\n 'o',\n ls='-',\n color=lcolor1,\n ms=3,\n markevery=.1,\n mec='None',\n mfc=mcolor1)\nline2 = axesList[5].plot(f,\n y,\n 'o',\n ls='-',\n color=lcolor2,\n ms=3,\n markevery=.1,\n mec='None',\n mfc=mcolor2)\nline3 = axesList[5].plot(f,\n z,\n 'o',\n ls='-',\n color=lcolor3,\n ms=3,\n markevery=.1,\n mec='None',\n mfc=mcolor3)\n\nplt.show()" ] } ], "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": "3.7.9" } }, "nbformat": 4, "nbformat_minor": 0 }