{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Научная графика в Python\n", "\n", "Автор: Шабанов Павел Александрович\n", "\n", "E-mail: pa.shabanov@gmail.com\n", "\n", "URL: [Заметки по программированию в науках о Земле](http://progeoru.blogspot.ru/)\n", "\n", "Дата последнего обновления: 12.03.2017" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# Преамбула\n", "%matplotlib inline\n", "\n", "import os\n", "import matplotlib.pyplot as plt\n", "from matplotlib import rcParams\n", "\n", "import numpy as np\n", "\n", "def save(name='', fmt='png'):\n", " pwd = os.getcwd()\n", " iPath = './pictures/{}'.format(fmt)\n", " if not os.path.exists(iPath):\n", " os.mkdir(iPath)\n", " os.chdir(iPath)\n", " plt.savefig('{}.{}'.format(name, fmt), fmt='png')\n", " os.chdir(pwd)\n", " #plt.close()\n", "\n", "rcParams['font.family'] = 'fantasy'\n", "rcParams['font.fantasy'] = 'Arial'" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Глава 12 Легенда\n", "\n", "### Содержание главы\n", "\n", "1. Легенда;\n", "\n", "2. Легенда на отдельной области рисования.\n", "\n", "Когда на рисунке изображено несколько графиков, возникает потребность в их идентификации. Определить, какая линия или диаграмма соответствует каким данным, помогает легенда.\n", "\n", "Легенда - это ключ к пониманию сложного графика. Чтобы повысить читаемость рисунка, нужно стараться делать так, чтобы все использованные условные обозначения легко расшифровывались. Немаловажным аспектом этого является правильное размещение и представление легенды.\n", "\n", "### Электронные ресурсы:\n", "\n", "+ [Пример создания легенды к polar plot](http://matplotlib.org/examples/pylab_examples/polar_legend.html)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 12.1 Легенда \n", "\n", "Создание легенды подразумевает два логических этапа. \n", "\n", "1. *Формирование подписей к условным обозначениям*;\n", "\n", "2. *Отображение легенды на рисунке*.\n", "\n", "Самый простой способ сформировать подписи к графическим элементам - использовать атрибут label в графических командах типа `plot()`, `scatter()` и др. Параметр label принимает текст в виде строки, который \"привязывается\" к породившему их графическому элементу (линия, маркер, диаграмма и т.д.). \n", "\n", "Отображение легенды осуществляется либо методом `plt.legend()` для всего рисунка, либо `ax.legend()` для конкретной области рисования. Легенда цветовой палитры - цветовая шкала colorbar - рассматривается в следующей главе." ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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xYgTFixdn0aJFgBpKmpCQQEREBEOHDmXAgAFJ+YWGhjJhwoQM6yKtmP328vvo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\nTnXCmXnmA94vM8d/x5rb3BP/xuVnza/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2HJ/k939/B2BOyzkmK9FkZrTBdxF/8Ov5ksZh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\n4YJvZlYnXPDNzOrE/wGE983YMCS8BAAAAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Пример 12.1.1\n", "\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "\n", "a = 1\n", "x = np.arange(-2*np.pi, 2*np.pi, 0.2)\n", "y = np.sin(x) * np.cos(x)\n", "f = np.sin(x) + np.cos(x)\n", "xz = a*(2*np.cos(x) - np.cos(2*x))\n", "yz = a*(2*np.sin(x) - np.sin(2*x))\n", "\n", "# Способ 1 с помощью label\n", "plt.plot(x, f, label = u'Сумма cos и sin')\n", "plt.scatter(x, y, label = u'Произведение cos и sin', color='r')\n", "plt.plot(xz, yz, label = u'Кардиоида')\n", "\n", "plt.grid(True)\n", "plt.xlabel(u'Аргумент')\n", "plt.ylabel(u'Функция')\n", "plt.title(u'Несколько графиков')\n", "\n", "plt.legend() # легенда для всего рисунка fig\n", "\n", "save('pic_12_1_1', fmt='png')\n", "save('pic_12_1_1', fmt='pdf')\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "При создании легенды методом `ax.legend()`, легенда будет отображаться на текущей области рисования `ax`." ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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tWwotCa/jria+A8B+J3c6tzA5xHUXMN3+fi3wZRZ+CjdX8ouXH1hVzb7ZpwB/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\nswX+OMMDeJszpBkCS/SkHXfqdF1Pmr7mzW944G6bOtXj9Ox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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Пример 12.1.2\n", "\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "\n", "a = 1\n", "x = np.arange(-2*np.pi, 2*np.pi, 0.2)\n", "y = np.sin(x) * np.cos(x)\n", "f = np.sin(x) + np.cos(x)\n", "xz = a*(2*np.cos(x) - np.cos(2*x))\n", "yz = a*(2*np.sin(x) - np.sin(2*x))\n", "\n", "fig = plt.figure()\n", "fig, axes = plt.subplots(nrows=2, ncols=1, sharex=True)\n", "\n", "for i,ax in enumerate(fig.axes):\n", " ax.plot(x, f, label = u'Линия1 ax%d' % i)\n", " ax.scatter(x, y, label = u'Маркеры ax%d' % i, color='r')\n", " ax.plot(xz, yz, label = u'Линия2 ax%d' % i)\n", " ax.grid(True)\n", " ax.set_xlabel(u'Аргумент')\n", " ax.set_ylabel(u'Функция')\n", " ax.set_title(u'Несколько графиков')\n", " ax.legend(loc='best', frameon=False) # легенда для области рисования ax\n", "\n", "plt.tight_layout()\n", " \n", "save('pic_12_1_2', fmt='png')\n", "save('pic_12_1_2', fmt='pdf')\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Существует и другой способ создания (формирование подписей + отображение на рисунке) легенды.\n", "\n", "Можно в самом методе `legend()` указать последовательность(список, кортеж), состоящую из подписей графических элементов. Здесь стоит сказать, что для создания корректной легенды этим методом, нужно знать последовательность появления графических объектов на рисунке. При этом стоит помнить о группировке типов графических объектов (линии к линиям, маркеры к маркерам, диаграммы к диаграммам и т.д.)." ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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4HJCyRQtXS1FqfPihlF26SJmd7dzzjB8v5S8tX1f1647s2KEC3vv4qM+GDaVM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\nvpTyXyHEKSHEIlSikjDgSynlv6UinRvjDj78glh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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Пример 12.1.3\n", "\n", "from matplotlib import rcParams\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "\n", "rcParams['font.family'] = 'Times New Roman', 'Arial', 'Tahoma'\n", "rcParams['font.fantasy'] = 'Times New Roman'\n", "\n", "a = 1\n", "x = np.arange(-2*np.pi, 2*np.pi, 0.2)\n", "y = np.sin(x) * np.cos(x)\n", "f = np.sin(x) + np.cos(x)\n", "xz = a*(2*np.cos(x) - np.cos(2*x))\n", "yz = a*(2*np.sin(x) - np.sin(2*x))\n", "\n", "# Способ 2 с помощью label\n", "\n", "plt.plot(x, f, 'b')\n", "plt.scatter(x, y, color='b')\n", "plt.bar(x, y, color='g', alpha=0.25)\n", "plt.plot(xz, yz, 'r')\n", "plt.scatter([-5.,6], [-2., -1], color='r')\n", "\n", "plt.grid(True)\n", "plt.xlabel(u'Аргумент')\n", "plt.ylabel(u'Функция')\n", "plt.title(u'Несколько графиков')\n", "\n", "lab1 = u'cos + sin'\n", "lab2 = u'cos * sin'\n", "lab2_5 = u'диаграмма'\n", "lab3 = u'Кардиоида'\n", "lab4 = u'две точки'\n", "\n", "plt.legend((lab1, lab3, lab2, lab4, lab2_5), frameon=False)\n", "\n", "save('pic_12_1_3', fmt='png')\n", "save('pic_12_1_3', fmt='pdf')\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "> Обратите внимание, что если легенда объединяет несколько типов графических элементов (`plot()`, `scatter()`, `bar()`), то они будут группироваться: сначала линии, потом маркеры, потом диаграммы. При использовании метода прямой передачи подписей для создания легенды следует быть особенно внимательным, так как иначе подписи могут быть приписаны не к тем графическим элементам.\n", "\n", "Расположение легенды определяется параметром loc, который принимает значения в виде цифр (1-9), начиная от верхнего левого угла и заканчивая нижним правым, и в виде условных обозначений. Значение loc='best' автоматически выберет место на рисунке, где легенда меньше всего будет \"портить\" график. Также можно убрать рамку вокруг легенды для уменьшения места (frameon=False), занимаемого легендой, снижая тем самым геометрическое давление рисунка в целом.\n", "\n", "### 12.2 Легенда на отдельной области рисования\n", "\n", "Для мультиоконных рисунков или графиков с несколькими областями рисования, общая легенда может быть размещена как на одной из существующих областей рисования (см. главу \"Особенности координатных осей\"), так и на отдельной области рисования.\n", "\n", "Обратите внимание, что новая область рисования для размещения легенды должна быть вписана в существующий рисунок figure. Это значит, что на рисунке необходимо выделить дополнительное место для легенды, помимо существующих на рисунке областей рисования типа subplots или axes (\"мультиокна\"). Изменить размеры объединённой области рисования для subplots и axes можно с помощью параметров rcParams:\n", "\n", "+ `rcParams['figure.subplot.left'] = 0.125`\n", "\n", "+ `rcParams['figure.subplot.right'] = 0.9`\n", "\n", "+ `rcParams['figure.subplot.bottom'] = 0.125`\n", "\n", "+ `rcParams['figure.subplot.top'] = 0.9`\n", "\n", "+ `rcParams['figure.subplot.hspace'] = 0.2`\n", "\n", "+ `rcParams['figure.subplot.wspace'] = 0.2`" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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Od/fu3cM65ESLcVi1IcsxssJC6N7d+c/BRJzMtu4lSwynU8vaphch9UfgyBLN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\nZ0L+BI97dPIwdqzzzMVQiR7JYNQo2L0b9uyxL7tihTUq9cKJGTo/aef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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Пример 12.2.1\n", "\n", "from random import randint, choice\n", "\n", "from matplotlib import rcParams\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "\n", "x = np.arange(-2*np.pi, 2*np.pi, 0.2)\n", "\n", "fig, axes = plt.subplots(nrows=2, ncols=2, sharex=True)\n", "\n", "# Обрати внимание!\n", "rborder = 0.75\n", "rcParams['figure.subplot.right'] = rborder\n", "rcParams['figure.subplot.hspace'] = 0.15\n", "rcParams['figure.subplot.wspace'] = 0.15\n", "\n", "lns = []\n", "for i, ax in enumerate(fig.axes):\n", " \n", " y = np.sin(x)*randint(1, 5)\n", " line = ax.plot(x, y, label = u'График %d' % i, color=choice(['r','b','k','g']))\n", " if i > 1:\n", " ax.set_xlabel(u'Аргумент')\n", " if i%2 == 0:\n", " ax.set_ylabel(u'Функция %d' % i)\n", " ax.grid(True, color='grey')\n", " ax.set_title(u'subplot %d' % i)\n", " lns = lns + line\n", "\n", "ax2 = fig.add_axes([rborder, 0.6, 1.-rborder, 0.15], frameon=False, axisbg='w')\n", "labs = [l.get_label() for l in lns]\n", "ax2.legend(lns, labs, loc=3, frameon=True)\n", "\n", "# Скрываем координатные оси\n", "ax2.set_axis_off()\n", "\n", "save('pic_12_2_1', fmt='png')\n", "save('pic_12_2_1', fmt='pdf')\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "В случае, скажем, столбчатых диаграмм (метод `bar()`), схема работы с легендой аналогичная.\n", "\n", "Обратите внимание, что методы типа bar возвращают не графический примитив (плоская линия в случае метода `ax.plot()`), а контейнер, то есть \"ящик\", в котором хранятся графические примитивы. Поэтому нельзя использовать простое сложение объектов, как было показано в примере с линиями. Как вариант можно использовать метод списков `append()`." ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0 Тип данных bar \n", "1 Тип данных bar \n", "2 Тип данных bar \n", "3 Тип данных bar \n" ] }, { "data": { "image/png": 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L6movmu4RyBeTsvYsdKYdcixiGPlXznkFwN4M5wnr/KjHkMbJhsqBiaBdOrzW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\nFJhtxLlu/82uR4wXfd3W46K/F/A58wj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=\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Пример 12.2.2\n", "\n", "from random import randint, choice\n", "\n", "from matplotlib import rcParams\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "\n", "x = np.arange(-2*np.pi, 2*np.pi, 0.2)\n", "\n", "fig, axes = plt.subplots(nrows=2, ncols=2, sharex=True)\n", "\n", "# Обрати внимание!\n", "rborder = 0.75\n", "rcParams['figure.subplot.right'] = rborder\n", "rcParams['figure.subplot.hspace'] = 0.15\n", "rcParams['figure.subplot.wspace'] = 0.15\n", "\n", "lns = []\n", "for i, ax in enumerate(fig.axes):\n", " \n", " y = np.sin(x)*randint(1, 5)\n", " z = np.cos(x)*randint(1, 5)\n", " \n", " bar1 = ax.bar(x, y, width=0.4, label = u'Диаграмма %d-1' % i, color=choice(['r','b','pink','violet']))\n", " \n", " print '%d Тип данных bar' % i, type(bar1), bar1\n", " bar2 = ax.bar(x, z, width=0.4, label = u'Диаграмма %d-2' % i, color=choice(['k','g','w','cyan']))\n", "\n", " if i > 1:\n", " ax.set_xlabel(u'Аргумент')\n", " if i%2 == 0:\n", " ax.set_ylabel(u'Функция %d' % i)\n", " ax.grid(True, color='grey')\n", " ax.set_title(u'subplot %d' % i)\n", "\n", " # Сравни с предыдущим примером\n", " lns.append(bar1)\n", " lns.append(bar2)\n", " \n", "ax2 = fig.add_axes([rborder, 0.35, 1.-rborder, 0.5], frameon=False, axisbg='w')\n", "#lns\n", "#print type(lns), type(lns[0]), lns[0] \n", "\n", "labs = [l.get_label() for l in lns]\n", "ax2.legend(lns, labs, loc=3, frameon=True)\n", "\n", "# Скрываем координатные оси области рисования ax2\n", "ax2.set_axis_off()\n", "\n", "save('pic_12_2_2', fmt='png')\n", "save('pic_12_2_2', fmt='pdf')\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ "Автор: Шабанов Павел Александрович\n", "\n", "E-mail: pa.shabanov@gmail.com\n", "\n", "## Научная графика в Python\n", "\n", "### Оглавление\n", "\n", "+ [Глава 1 Библиотека matplotlib. Pyplot](http://nbviewer.ipython.org/github/whitehorn/Scientific_graphics_in_python/blob/master/P1 Chapter 1 Pyplot.ipynb)\n", "\n", "+ [Глава 2 Основные графические команды](http://nbviewer.ipython.org/github/whitehorn/Scientific_graphics_in_python/blob/master/P1 Chapter 2 Main graphical commands.ipynb)\n", "\n", "+ [Глава 3 Работа с текстом и шрифтами](http://nbviewer.ipython.org/github/whitehorn/Scientific_graphics_in_python/blob/master/P1 Chapter 3 Text and Fonts.ipynb)\n", "\n", "+ [Глава 4 Цвет и цветовая палитра](http://nbviewer.ipython.org/github/whitehorn/Scientific_graphics_in_python/blob/master/P1 Chapter 4 Color.ipynb)\n", "\n", "**Часть II Структура рисунка в matplotlib**\n", "\n", "+ [Глава 5 Рисунок](http://nbviewer.ipython.org/github/whitehorn/Scientific_graphics_in_python/blob/master/P2 Chapter 5 Figure container.ipynb)\n", "\n", "+ [Глава 6 Область рисования](http://nbviewer.ipython.org/github/whitehorn/Scientific_graphics_in_python/blob/master/P2 Chapter 6 Axes container.ipynb)\n", "\n", "+ [Глава 7 Мультиоконные рисунки](http://nbviewer.ipython.org/github/whitehorn/Scientific_graphics_in_python/blob/master/P2 Chapter 7 Subplots.ipynb)\n", "\n", "+ [Глава 8 Координатные оси](http://nbviewer.ipython.org/github/whitehorn/Scientific_graphics_in_python/blob/master/P2 Chapter 8 Axis container.ipynb)\n", "\n", "+ [Глава 9 Деления координатных осей](http://nbviewer.ipython.org/github/whitehorn/Scientific_graphics_in_python/blob/master/P2 Chapter 9 Ticks container.ipynb)\n", "\n", "**Часть III Специальные элементы рисунка в matplotlib**\n", "\n", "+ [Глава 10 Особенности координатных осей](http://nbviewer.ipython.org/github/whitehorn/Scientific_graphics_in_python/blob/master/P3 Chapter 10 Twinx and log scale.ipynb)\n", "\n", "+ [Глава 11 Графики в полярной системе координат](http://nbviewer.ipython.org/github/whitehorn/Scientific_graphics_in_python/blob/master/P3 Chapter 11 Polar plots.ipynb) \n", "\n", "> + [Глава 12 Легенда](http://nbviewer.ipython.org/github/whitehorn/Scientific_graphics_in_python/blob/master/P3 Chapter 12 Legends.ipynb)\n", "\n", "+ [Глава 13 Цветовая шкала](http://nbviewer.ipython.org/github/whitehorn/Scientific_graphics_in_python/blob/master/P3 Chapter 13 Colorbar.ipynb)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python [default]", "language": "python", "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.13" } }, "nbformat": 4, "nbformat_minor": 0 }