{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import pprint" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "True\n" ] } ], "source": [ "print([100] > [-100])" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "True\n" ] } ], "source": [ "print([1, 2, 100] > [1, 2, -100])" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "False\n" ] } ], "source": [ "print([1, 2, 100] > [1, 100])" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[[2, 30, 100],\n", " [1, 20, 300],\n", " [3, 10, 200]]\n" ] } ], "source": [ "l_2d = [[2, 30, 100], [1, 20, 300], [3, 10, 200]]\n", "\n", "pprint.pprint(l_2d, width=40)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[[1, 20, 300],\n", " [2, 30, 100],\n", " [3, 10, 200]]\n" ] } ], "source": [ "l_2d.sort()\n", "\n", "pprint.pprint(l_2d, width=40)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[[3, 10, 200],\n", " [1, 20, 300],\n", " [2, 30, 100]]\n" ] } ], "source": [ "l_2d.sort(key=lambda x: x[1])\n", "\n", "pprint.pprint(l_2d, width=40)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[[1, 20, 300],\n", " [3, 10, 200],\n", " [2, 30, 100]]\n" ] } ], "source": [ "l_2d.sort(key=lambda x: x[2], reverse=True)\n", "\n", "pprint.pprint(l_2d, width=40)" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[[3, 10, 200],\n", " [2, 30, 100],\n", " [1, 20, 300]]\n" ] } ], "source": [ "l_sorted = sorted(l_2d, key=lambda x: x[0], reverse=True)\n", "\n", "pprint.pprint(l_sorted, width=40)" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[[[0, 1, 2], [2, 30, 100]],\n", " [[3, 4, 5], [1, 20, 300]],\n", " [[6, 7, 8], [3, 10, 200]]]\n" ] } ], "source": [ "l_3d = [[[0, 1, 2], [2, 30, 100]], [[3, 4, 5], [1, 20, 300]], [[6, 7, 8], [3, 10, 200]]]\n", "\n", "pprint.pprint(l_3d, width=40)" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[[[3, 4, 5], [1, 20, 300]],\n", " [[0, 1, 2], [2, 30, 100]],\n", " [[6, 7, 8], [3, 10, 200]]]\n" ] } ], "source": [ "l_sorted = sorted(l_3d, key=lambda x: x[1][0])\n", "\n", "pprint.pprint(l_sorted, width=40)" ] } ], "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": "3.6.5" } }, "nbformat": 4, "nbformat_minor": 2 }