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{ "cells": [ { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ "# Matplotlib\n", "\n", "Matplotlib is a library for making 2D plots of arrays in Python. Although Matplotlib is written primarily in pure Python, it makes heavy use of NumPy and other extension code to provide good performance even for large arrays. Matplot lib contain a lot of functionality but we only focus on some of the parts of matplotlib." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "import numpy as np" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Line" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# line plotting\n", "data = [1,1,2,3,5,8,13]\n", "plt.plot(data)\n", "plt.ylabel('Y Axis Name')\n", "plt.xlabel('X Axis Name')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "image/png": 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sme9+I6oOtljsbaq655y70TnX3jmXRtW/7c+dcxd6HKvOmVlj38EV\nmFlj4FTA7yMQw6YYnHPlwFXANKp2RE52zuV6m6rumdlE4FvgcDNbbWaXe52pngwALqLqL8cc3+10\nr0PVgzbADDObR9UfQ9Odc2Fz6GYYagV8bWZzgZnAh865qf6+aNgcrioiIgcmbNYYRETkwKgYRESk\nBhWDiIjUoGIQEZEaVAwiIlKDikFERGpQMYiISA0qBhERqeH/AGe0bo/HU66WAAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# ploting sine wave\n", "x = np.arange(0, 5, 0.1);\n", "y = np.sin(x)\n", "plt.plot(x, y)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Point" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAD8CAYAAABn919SAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nASCJ/wH341ss5kBa6QAAAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# data point plotting\n", "data_x = [1,2,3,4,5,6]\n", "data_y = [1,1,2,3,5,8]\n", "plt.plot(data_x, data_y, 'ro')\n", "plt.axis([0, 7, 0, 10])\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Bar Graph " ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAEICAYAAABPgw/pAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAE/pJREFUeJzt3XvQZHV95/H3R0YcLiOITIBBxjHLpRaNog66ailGodaE\nKLhFUmIEJ5tkSjd4YWMZTTTOsiFxU66jtUoRNIqJCArGS8zGiMgkaBKUm1xmDCCC3BRFiAwiN7/7\nxznjNg/PPJfunqef+c37VdU1p8/5nXO+p/s8n/n17/QlVYUkafv3mEkXIEkaDwNdkhphoEtSIwx0\nSWqEgS5JjTDQJakRBrp2GEmuSfLibbDdNUm+Ou7tSvO1ZNIFaGEluRHYB3gYuBf4e+Ckqto8yboW\nQlU9ddI1SNuSPfQd08uranfgWcBq4B1TG6QztvMjiZ0HaRsz0HdgVXUrXQ/9aQBJNiQ5NcnXgJ8A\nv5hkRZLPJ/lRkuuT/O6W9ZPskuRjSe5KsinJW5PcMrD8xiR/kORK4N4kS5K8Lcm3k9yTZGOSVw60\nX5Pka0nWJ7k7yQ1Jnt/PvznJHUleO9D+zCSnJfn7JJv7dfdN8r6+pm8leeaUeo7sp9cl+VSSv+pr\nuSbJ6oG2z0pyeb/s3CSfTPInc3lck7y/r/fHSS5N8sKBZUPvd7qhnSSV5MB++uh+3R/3+183pe2J\nSW5KcmeSd055PB4z8Nzc2de411yOV4uHgb4DS3IA8KvA5QOzTwDWAsuAm4BzgFuAFcBxwJ8meUnf\n9l3AKuAXgaOA10yzm+OBo4E9q+oh4NvAC4E9gP8BfDzJfgPtnwtcCTwR+ES//8OBA/vtfyDJ7gPt\nf4PuFcbewP3AvwCX9ffPA947w0Pwin77ewKfBz7QPy47A58BzgT2As4GXjn9Jqb1DeCwft1PAOcm\nWboA+70XOLHf7tHA65Mc22/7UOA04DeB/ege//0H1n0DcCxwBN1zfRfwwXnsW4tBVXnbgW7AjcBm\n4G66wD4N2KVftgE4ZaDtAXRj7csG5v0ZcGY/fQPwnweW/Q5wy5R9/ddZ6rkCOKafXgNcN7Dsl4AC\n9hmYdydwWD99JvChgWVvADZNWf/uKfUc2U+vA748sOxQ4L5++kXArUAGln8V+JOtHMMa4KszHONd\nwDNG3e90++kfnwO3st/3Aev76T8Gzh5YtivwwMDjsQl46cDy/YAHgSWTPme9zf3muOaO6diq+vJW\nlt08ML0C+FFV3TMw7ya6cfctywfbD05POy/JicB/p+vZA+xO15ve4vsD0/cBVNXUebvP0H6mtlN9\nb2D6J8DSfqx/BXBr9ck23XHMJMlbgN/ut1PA43nkMW6r/T4XeDfdENrOwOOAc/vFj3iuquonSe4c\nWP3JwGeS/Gxg3sN0F9BvnWsNmiyHXDTVYJjcBuyVZNnAvJX8/z/w24EnDSw7YKbtJXky8CHgJOCJ\nVbUncDWQMdQ9TrcD+ycZrGu6Y3uUfrz8rXRDQU/oj/Hfmdsxzrbfe+l61lv2te+U9T9BN4RzQFXt\nAZw+sN9HPFdJdqEb1triZuBXqmrPgdvS6q6zaDthoGurqupm4J+BP0uyNMnT6XqeH++bfAp4e5In\nJNmfLqhnshtdwP8AIMlv0V+QXWT+ha53elJ/IfcY4DlzXHcZ8BDdMS5J8sd0PfRx7PebwFOTHNaP\nya+bZt8/qqqfJnkO8OqBZecBL+8vMu/crzv4H8fpwKn9f7okWd7vX9sRA12zOZ5ueOQ2ugt27xoY\nrjmF7oLpd4Av04XG/VvbUFVtBP43XXB9n26M+2vbqvBhVdUDwH+h+8/rbrqLsV9ghmMb8A/AF4Fr\n6Yanfsoch01m229VXUv3mH8ZuI5ufH3QfwNOSXIP3Zj5pwa2fQ3dNYZz6Hrrm4E7Bo7p/XS9+y/1\n6/8r3QVqbUfyyOE6aXhJXg+8qqqOmHQt45bkYuD0qvpoC/vt3yl0N3BQVX1nnNvW5NhD19CS7Jfk\nBf17mA8Bfp+uF7/dS3JE/572Jf17359O1/Pebveb5OVJdk2yG/Ae4Cq6d/6oEb7LRaPYGfgL4Cl0\nvb1z6N4G2YJD6IYsdqN7e+ZxVXX7dr7fY4C/phs7v4Tu1ZQv0RvikIskNcIhF0lqxIIOuey99961\natWqhdylJG33Lr300h9W1fLZ2i1ooK9atYpLLrlkIXcpSdu9JDfNpZ1DLpLUCANdkhphoEtSIwx0\nSWqEgS5JjTDQJakRswZ6ko+k+y3Hqwfm7ZXk/CTX9f8+YduWKUmazVx66GcCL5sy723ABVV1EHBB\nf1+SNEGzBnpV/RPwoymzjwE+1k9/jO7HZSVJEzTsJ0X3GfgGuO/R/e7gtJKspfsVeVauXDnk7mD9\n+dcOve5COvmogyddgqQd1MgXRfuv39zqVzZW1RlVtbqqVi9fPutXEUiShjRsoH8/yX7Q/cgB3U9Z\nSZImaNhA/zzw2n76tcDnxlOOJGlYc3nb4tl0P+p7SJJbkvw28G7gqCTXAUf29yVJEzTrRdGqOn4r\ni1465lokSSPwk6KS1AgDXZIaYaBLUiMMdElqhIEuSY0w0CWpEQa6JDXCQJekRhjoktQIA12SGmGg\nS1IjDHRJaoSBLkmNMNAlqREGuiQ1wkCXpEYY6JLUCANdkhphoEtSIwx0SWqEgS5JjTDQJakRBrok\nNcJAl6RGGOiS1AgDXZIaYaBLUiMMdElqhIEuSY0w0CWpEQa6JDXCQJekRowU6ElOTnJNkquTnJ1k\n6bgKkyTNz9CBnmR/4I3A6qp6GrAT8KpxFSZJmp9Rh1yWALskWQLsCtw2ekmSpGEsGXbFqro1yXuA\n7wL3AV+qqi9NbZdkLbAWYOXKlcPurknrz7920iXMyclHHTzpEiTNwShDLk8AjgGeAqwAdkvymqnt\nquqMqlpdVauXL18+fKWSpBmNMuRyJPCdqvpBVT0I/A3w/PGUJUmar1EC/bvAf0qya5IALwU2jacs\nSdJ8DR3oVXUxcB5wGXBVv60zxlSXJGmehr4oClBV7wLeNaZaJEkj8JOiktQIA12SGmGgS1IjDHRJ\naoSBLkmNMNAlqREGuiQ1wkCXpEYY6JLUCANdkhphoEtSIwx0SWqEgS5JjTDQJakRBrokNcJAl6RG\nGOiS1AgDXZIaYaBLUiMMdElqhIEuSY0w0CWpEQa6JDXCQJekRhjoktQIA12SGmGgS1IjDHRJaoSB\nLkmNMNAlqREGuiQ1wkCXpEaMFOhJ9kxyXpJvJdmU5HnjKkySND9LRlz//cAXq+q4JDsDu46hJknS\nEIYO9CR7AC8C1gBU1QPAA+MpS5I0X6MMuTwF+AHw0SSXJ/lwkt3GVJckaZ5GGXJZAjwLeENVXZzk\n/cDbgHcONkqyFlgLsHLlyhF2p8Vu/fnXTrqEOTn5qIMnXYK0TYzSQ78FuKWqLu7vn0cX8I9QVWdU\n1eqqWr18+fIRdidJmsnQgV5V3wNuTnJIP+ulwMaxVCVJmrdR3+XyBuCs/h0uNwC/NXpJkqRhjBTo\nVXUFsHpMtUiSRuAnRSWpEQa6JDXCQJekRhjoktQIA12SGmGgS1IjDHRJaoSBLkmNMNAlqREGuiQ1\nwkCXpEYY6JLUCANdkhphoEtSIwx0SWqEgS5JjTDQJakRBrokNcJAl6RGGOiS1AgDXZIaYaBLUiMM\ndElqhIEuSY0w0CWpEQa6JDXCQJekRhjoktQIA12SGmGgS1IjDHRJaoSBLkmNMNAlqREjB3qSnZJc\nnuQL4yhIkjSccfTQ3wRsGsN2JEkjGCnQkzwJOBr48HjKkSQNa8mI678PeCuwbGsNkqwF1gKsXLly\nxN1JC2f9+ddOuoQ5OfmogyddghaJoXvoSX4NuKOqLp2pXVWdUVWrq2r18uXLh92dJGkWowy5vAB4\nRZIbgXOAlyT5+FiqkiTN29CBXlVvr6onVdUq4FXAV6rqNWOrTJI0L74PXZIaMepFUQCqagOwYRzb\nkiQNxx66JDXCQJekRhjoktQIA12SGmGgS1IjDHRJaoSBLkmNMNAlqREGuiQ1wkCXpEYY6JLUCANd\nkhphoEtSIwx0SWqEgS5JjTDQJakRBrokNcJAl6RGGOiS1AgDXZIaYaBLUiMMdElqhIEuSY0w0CWp\nEQa6JDXCQJekRhjoktQIA12SGmGgS1IjDHRJaoSBLkmNMNAlqRFDB3qSA5JcmGRjkmuSvGmchUmS\n5mfJCOs+BPx+VV2WZBlwaZLzq2rjmGqTJM3D0D30qrq9qi7rp+8BNgH7j6swSdL8jNJD/7kkq4Bn\nAhdPs2wtsBZg5cqV49idpCGtP//aSZcwJycfdfCkS9gujXxRNMnuwKeBN1fVj6cur6ozqmp1Va1e\nvnz5qLuTJG3FSIGe5LF0YX5WVf3NeEqSJA1jlHe5BPhLYFNVvXd8JUmShjFKD/0FwAnAS5Jc0d9+\ndUx1SZLmaeiLolX1VSBjrEWSNAI/KSpJjTDQJakRBrokNcJAl6RGGOiS1AgDXZIaYaBLUiMMdElq\nhIEuSY0w0CWpEQa6JDXCQJekRhjoktQIA12SGmGgS1IjxvIj0ZI0Cf7o9SPZQ5ekRhjoktQIA12S\nGmGgS1IjDHRJaoSBLkmNMNAlqREGuiQ1wkCXpEYY6JLUCANdkhphoEtSIwx0SWqEgS5JjTDQJakR\nBrokNcJAl6RGjBToSV6W5N+SXJ/kbeMqSpI0f0MHepKdgA8CvwIcChyf5NBxFSZJmp9ReujPAa6v\nqhuq6gHgHOCY8ZQlSZqvVNVwKybHAS+rqt/p758APLeqTprSbi2wtr97CPBvw5c7dnsDP5x0EWPW\n2jF5PItfa8e0GI/nyVW1fLZGS7Z1FVV1BnDGtt7PMJJcUlWrJ13HOLV2TB7P4tfaMW3PxzPKkMut\nwAED95/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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# simple bar chart \n", "x_label = ('Python', 'C++', 'Java', 'Perl', 'Scala', 'Lisp')\n", "x_position = np.arange(len(x_label))\n", "data_y = [10,8,6,4,2,1]\n", "plt.bar(x_position, data_y, align='center', alpha=0.5)\n", "plt.xticks(x_position, x_label)\n", "plt.title('Programming language')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Pie Chart" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "image/png": 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DwW040At/TFQldEPTDNCCnBmPe3WiodTveSx0/xvLim8PfDqw8HIRwl6dW33c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\nAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# pie chart\n", "label = ('Python', 'C++', 'Java', 'Perl', 'Scala', 'Lisp')\n", "ratio = [10,8,6,4,2,1]\n", "plt.pie(ratio, labels = label, startangle=90)\n", "plt.axis('equal')\n", "plt.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": "3.5.2" } }, "nbformat": 4, "nbformat_minor": 2 }