{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "Grid\n", "====\n", "\n", "Displaying a grid on the axes in matploblib.\n", "\n" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "\n", "ax = plt.axes([0.025, 0.025, 0.95, 0.95])\n", "\n", "ax.set_xlim(0,4)\n", "ax.set_ylim(0,3)\n", "ax.xaxis.set_major_locator(plt.MultipleLocator(1.0))\n", "ax.xaxis.set_minor_locator(plt.MultipleLocator(0.1))\n", "ax.yaxis.set_major_locator(plt.MultipleLocator(1.0))\n", "ax.yaxis.set_minor_locator(plt.MultipleLocator(0.1))\n", "ax.grid(which='major', axis='x', linewidth=0.75, linestyle='-', color='0.75')\n", "ax.grid(which='minor', axis='x', linewidth=0.25, linestyle='-', color='0.75')\n", "ax.grid(which='major', axis='y', linewidth=0.75, linestyle='-', color='0.75')\n", "ax.grid(which='minor', axis='y', linewidth=0.25, linestyle='-', color='0.75')\n", "ax.set_xticklabels([])\n", "ax.set_yticklabels([])\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "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": "3.7.3" } }, "nbformat": 4, "nbformat_minor": 1 }