{ "cells": [ { "cell_type": "markdown", "source": [ "# Plotting orientations on a stereonet" ], "metadata": {} }, { "cell_type": "code", "source": [ "%matplotlib inline" ], "outputs": [], "execution_count": 1, "metadata": { "collapsed": false, "outputHidden": false, "inputHidden": false } }, { "cell_type": "code", "source": [ "from mplstereonet import subplots\n", "from attitude.orientation.pca import random_pca\n", "from attitude.plot.stereonet import stereonet_errors, stereonet_pole_error" ], "outputs": [], "execution_count": 2, "metadata": { "collapsed": false, "outputHidden": false, "inputHidden": false } }, { "cell_type": "code", "source": [ "fit = random_pca()\n", "fit" ], "outputs": [ { "output_type": "execute_result", "execution_count": 3, "data": { "text/plain": [ "" ] }, "metadata": {} } ], "execution_count": 3, "metadata": { "collapsed": false, "outputHidden": false, "inputHidden": false } }, { "cell_type": "code", "source": [ "fig, ax = subplots()\n", "ax.grid()" ], "outputs": [ { "output_type": "display_data", "data": { "image/svg+xml": [ "\n", "\n", "\n", "\n" ], "text/plain": [ "" ] }, "metadata": {} } ], "execution_count": 4, "metadata": {} }, { "cell_type": "code", "source": [ "stereonet_errors(ax,fit, facecolor='purple', edgecolor='black', alpha=0.8)\n", " \n", "ax.plane(*fit.strike_dip(), color='black')\n", "fig" ], "outputs": [ { "output_type": "execute_result", "execution_count": 5, "data": { "image/svg+xml": [ "\n", "\n", "\n", "\n" ], "text/plain": [ "" ] }, "metadata": {} } ], "execution_count": 5, "metadata": { "collapsed": false, "outputHidden": false, "inputHidden": false } }, { "cell_type": "code", "source": [ "stereonet_pole_error(ax, fit, facecolor='purple',\n", " edgecolor='black', alpha=0.8)\n", "\n", "ax.pole(*fit.strike_dip(), color='black')\n", "fig" ], "outputs": [ { "output_type": "execute_result", "execution_count": 6, "data": { "image/svg+xml": [ "\n", "\n", "\n", "\n" ], "text/plain": [ "" ] }, "metadata": {} } ], "execution_count": 6, "metadata": { "collapsed": false, "outputHidden": false, "inputHidden": false } }, { "cell_type": "code", "source": [ "fig2, axea = subplots(projection='equal_angle')\n", "axea.grid()\n", "\n", "kw = dict(facecolor='purple', edgecolor='black', alpha=0.8)\n", "\n", "stereonet_errors(axea,fit, **kw)\n", "stereonet_pole_error(axea, fit, **kw)\n", " \n", "axea.plane(*fit.strike_dip(), color='black')\n", "axea.pole(*fit.strike_dip(), color='black')" ], "outputs": [ { "output_type": "execute_result", "execution_count": 7, "data": { "text/plain": [ "[]" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "image/svg+xml": [ "\n", "\n", "\n", "\n" ], "text/plain": [ "" ] }, "metadata": {} } ], "execution_count": 7, "metadata": { "collapsed": false, "outputHidden": false, "inputHidden": false } }, { "cell_type": "code", "source": [ "fit = random_pca()\n", "kw = dict(facecolor='teal', edgecolor='black', zorder=3, alpha=0.8)\n", "stereonet_pole_error(ax, fit, **kw)\n", "stereonet_errors(ax,fit, **kw)\n", "\n", "kw = dict(color='black', zorder=3)\n", "ax.plane(*fit.strike_dip(), **kw)\n", "ax.pole(*fit.strike_dip(), **kw)\n", "fig" ], "outputs": [ { "output_type": "execute_result", "execution_count": 8, "data": { "image/svg+xml": [ "\n", "\n", "\n", "\n" ], "text/plain": [ "" ] }, "metadata": {} } ], "execution_count": 8, "metadata": { "collapsed": false, "outputHidden": false, "inputHidden": false } } ], "metadata": { "kernelspec": { "name": "python3-Syrtis", "language": "python", "display_name": "Python 3 :: Syrtis" }, "kernel_info": { "name": "python3-Syrtis" }, "language_info": { "file_extension": ".py", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "codemirror_mode": { "name": "ipython", "version": 3 }, "version": "3.5.2", "name": "python", "mimetype": "text/x-python" } }, "nbformat": 4, "nbformat_minor": 4 }