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@ged1959
Created September 19, 2016 11:30
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 連載から(続き)\n",
"\n",
"<div style=\"text-align: right;\">\n",
"2016.9.18\n",
"</div>\n",
"\n",
"日経LINUXの連載から、続き。ヒストグラムとか。おっと、これだと、「%matplotlib inline」が不要。\n",
"\n",
"まずは、[ヒストグラム \\| Pythonのmatplotlibを利用したグラフ作成](http://stat.biopapyrus.net/python/hist.html)から。"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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PrHQfmplaMZoaOKJaKxkGHaoVI13tGtxW6fY1szmaWmexz0CSZBhIkgwDSRI19hlERC8w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\nJEkYBpIkDANJEoaBJAnDQJIE/D/xksyc4GxRlAAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f0759079198>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%matplotlib inline\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"\n",
"x = np.random.normal(size = 100)\n",
"# np.random.normal(平均、標準偏差、個数)\n",
"\n",
"plt.hist(x)\n",
"plt.title(\"Histgram\")\n",
"plt.xlabel(\"x\")\n",
"plt.ylabel(\"frequency\")\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 関連のリンク\n",
"\n",
"1. [速修 正規分布(python)](http://www.cs.miyazaki-u.ac.jp/~date/lectures/gauss_python/)\n",
"2. [Numpy で乱数を生成する – Python でデータサイエンス](http://pythondatascience.plavox.info/numpy/%E4%B9%B1%E6%95%B0%E3%82%92%E7%94%9F%E6%88%90/)\n",
"3. [Numpyによる乱数生成まとめ \\- Qiita](http://qiita.com/yubais/items/bf9ce0a8fefdcc0b0c97)\n",
"4. [matplotlib でヒストグラムを描く – Python でデータサイエンス](http://pythondatascience.plavox.info/matplotlib/%E3%83%92%E3%82%B9%E3%83%88%E3%82%B0%E3%83%A9%E3%83%A0/)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 連載から\n",
"\n",
"えらく躓いた。以下の通りで、コマンドを書く順番により、まったく動かなくなる。matplotlibによくある。注意。"
]
},
{
"cell_type": "code",
"execution_count": 81,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f075846c588>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#a = [1, 2, 3, 4, 5]\n",
"#a = np.arange(11, 16)\n",
"#b = [9, 2.4, 2, 1.5, 99]\n",
"\n",
"fig = plt.figure(figsize=(6, 4))\n",
"subplot1 = fig.add_subplot(221)\n",
"# 以下の描画関連コマンドを先に書く!でないとエラーになる。連載では、set_xlimなどの後にあるので動かない。\n",
"# subplot.plot(a, b, marker='o')\n",
"subplot1.plot([1, 2, 3, 4, 5], [9, 2.4, 2, 1.5, 99])\n",
"# subplot.bar(a, b, align='center', color='red')\n",
"# ここまでを先に書く。\n",
"# 以下も後述のサンプルに合わせて改変。==> というか、まったく効いていない!\n",
"# subplot.set_xlim = (0, 6)\n",
"#subplot.set_ylim = ([0, 60])\n",
"# subplot.xlim = (0, 6)\n",
"# subplot.set_xlim = (0, 4)\n",
"# subplot.set_ylim = (0, 10)\n",
"subplot2 = fig.add_subplot(224)\n",
"subplot2.plot()\n",
"#subplot2.plot([1, 2, 3, 4, 5], [9, 2.4, 2, 1.5, 99])\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 91,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"[<matplotlib.lines.Line2D at 0x7f0758a3f400>]"
]
},
"execution_count": 91,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f0758e38a20>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"def power(x, n):\n",
" y = x ** n\n",
" return y\n",
"\n",
"#xs = np.linspace(-10, 10, 100)\n",
"xs = np.linspace(-10, 10, 10)\n",
"ys = power(xs, 2)\n",
"ytest = [1,2,3,4,5,6,7,8,9,3]\n",
"\n",
"fig = plt.figure(figsize=(3, 3))\n",
"subplot = fig.add_subplot(111)\n",
"subplot.set_xlim(-10,10)\n",
"#subplot.set_ylim(0,100)\n",
"subplot.set_ylim(0,13)\n",
"#subplot.plot(xs,ys)\n",
"subplot.plot(xs, ytest)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 参考\n",
"これは、コンパクトに事例をまとめている。「[matplotlibで1枚の画像中に複数のグラフを表示する2通りのやり方 \\- Qiita](http://qiita.com/Tatejimaru137/items/cbefc12e3d8cf01bd971)」"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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AmOm5AFNzAaZmg4xMzDM8Mc/QxDxD4/Nf+sXhcjpoqMxnQ00hmxuKUXVFZGfa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\nAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f0758a15860>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"x = np.arange(0., 10., 0.1)\n",
"s = np.sin(x)\n",
"c = np.cos(x)\n",
"\n",
"plt.subplot(211)\n",
"plt.plot(x, s)\n",
"plt.ylim(-3, 3)\n",
"\n",
"plt.subplot(212)\n",
"plt.plot(x, c)\n",
"plt.ylim(-3, 3)\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 82,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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AmOm5AFNzAaZmg4xMzDM8Mc/QxDxD4/Nf+sXhcjpoqMxnQ00hmxuKUXVFZGfa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\nAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f07585e8dd8>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"x = np.arange(0., 10., 0.1)\n",
"s = np.sin(x)\n",
"c = np.cos(x)\n",
"\n",
"fig = plt.figure()\n",
"\n",
"ax1 = fig.add_subplot(211)\n",
"ax1.plot(x, s)\n",
"ax1.set_ylim(-3, 3)\n",
"\n",
"ax2 = fig.add_subplot(212)\n",
"ax2.plot(x, c)\n",
"ax2.set_ylim(-3, 3)\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Good Instructions!\n",
"以下は、「[Numerical Python: Working With Subplots](http://www.python-course.eu/matplotlib_multiple_figures.php)」から。解説とともに、素晴らしい内容である。"
]
},
{
"cell_type": "code",
"execution_count": 80,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.text.Text at 0x7f0758449748>"
]
},
"execution_count": 80,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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COVOmTAXgyiuv4pNPNvHWW79m9+4aRo4cxYED+6mv38e0aZVUV+/qcf/jxo2jvr6eZ555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\n/z+jM594TlI0MgAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f07584b6080>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%matplotlib inline\n",
"import matplotlib.pyplot as plt\n",
"python_course_green = \"#476042\"\n",
"#plt.figure(figsize=(6, 4))\n",
"plt.figure(figsize=(8, 8))\n",
"plt.subplot(221) # equivalent to: plt.subplot(2, 2, 1)\n",
"plt.text(0.5, # x coordinate, 0 leftmost positioned, 1 rightmost\n",
" 0.5, # y coordinate, 0 topmost positioned, 1 bottommost\n",
" 'subplot(2,2,1)', # the text which will be printed\n",
" horizontalalignment='center', # shortcut 'ha' \n",
" verticalalignment='center', # shortcut 'va'\n",
" fontsize=20, # can be named 'font' as well\n",
" alpha=.5 # float (0.0 transparent through 1.0 opaque)\n",
" )\n",
"plt.subplot(224, axisbg=python_course_green)\n",
"plt.text(0.5, 0.5, \n",
" 'subplot(2,2,4)', \n",
" ha='center', va='center',\n",
" fontsize=20, \n",
" color=\"y\")"
]
},
{
"cell_type": "code",
"execution_count": 62,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[4, 16, 3, 9, 19, 9, 6, 10, 2, 3]\n"
]
},
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f0758907128>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"fig = plt.figure()\n",
"X = np.arange(0,10)\n",
"#Y = np.random.randint(1,20, size=10)\n",
"Y = [4,16,3,9,19,9,6,10,2,3]\n",
"left, bottom, width, height = 0.1, 0.1, 0.8, 0.8\n",
"axes = fig.add_axes([left, bottom, width, height])\n",
"axes.plot(X, Y, 'r')\n",
"#色の指定ができるのだ。\n",
"#axes.plot(X, Y)\n",
"print(Y) # 自分が追加。\n",
"plt.show(fig)\n",
"#axes.set_xlabel('x')\n",
"#axes.set_ylabel('y')\n",
"#axes.set_title('title');"
]
},
{
"cell_type": "code",
"execution_count": 78,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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GPCmpNDz8Ixrvub9DV/YLhtwD5XJyr6pr5smFeykqrWdgr848fFN/bJagHs51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V27FeqZ0i3wtlgWvrzpWDU1uF9bA4DnpeexqqqonDW7zSYvSinVlVVXw+OPu5g82UNRkcX8+VVs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\nAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f075882c6a0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.gridspec as gridspec\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"#plt.figure(figsize=(6, 4))\n",
"plt.figure(figsize=(7, 7))\n",
"G = gridspec.GridSpec(3, 3)\n",
"X = np.linspace(0, 2 * np.pi, 50, endpoint=True)\n",
"F1 = 2.8 * np.cos(X)\n",
"F2 = 5 * np.sin(X)\n",
"F3 = 0.3 * np.sin(X)\n",
"axes_1 = plt.subplot(G[0, :])\n",
"axes_1.plot(X, F1, 'r-', X, F2)\n",
"axes_2 = plt.subplot(G[1, :-1])\n",
"axes_2.plot(X, F3)\n",
"axes_3 = plt.subplot(G[1:, -1])\n",
"axes_3.plot([1,2,3,4], [1,10,100,1000], 'b-')\n",
"axes_4 = plt.subplot(G[-1, 0])\n",
"axes_4.plot([1,2,3,4], [47, 11, 42, 60], 'r-')\n",
"axes_5 = plt.subplot(G[-1, -2])\n",
"axes_5.plot([1,2,3,4], [7, 5, 4, 3.8])\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 東京の気温の推移\n",
"\n",
"気象庁のサイトから、東京の気温をcsvデータとしてdlして、グラフに描く。\n",
"気温の一覧表は「[気象庁|過去の気象データ検索](http://www.data.jma.go.jp/obd/stats/etrn/view/monthly_s3.php?prec_no=44&block_no=47662)」に。"
]
},
{
"cell_type": "code",
"execution_count": 210,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['5.8', '5.7', '10.3', '14.5', '21.1', '22.1', '26.2', '26.7', '22.6', '18.4', '13.9', '9.3']\n"
]
},
{
"data": {
"image/png": 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NT/DZA+vkxb0YSbkLp0hITWDBT/MI8a/C2vu/wr+Uv+lIwgUMbzaSXxJ/4rMjaxn3zWhm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\nNY+y8lVw/AAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f0753bcf080>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import csv\n",
"\n",
"csv_reader = csv.reader(open(\"data.csv\", \"r\"), delimiter=\",\", quotechar='\"')\n",
"temp = []\n",
"\n",
"for row in csv_reader:\n",
" # print(row[1])\n",
" temp.append(row[1])\n",
"#print(temp)\n",
"temp12 = [temp[x:x+12] for x in range(0, len(temp), 12)]\n",
"\n",
"# 最初の年1875年と、2015年分を表示。\n",
"z = len(temp12)\n",
"#print(temp12[0])\n",
"print(temp12[z-1])\n",
"\n",
"#fig = plt.figure(figsize=(9,4))\n",
"X = np.arange(1,13)\n",
"#X = range(1, 13)\n",
"#X = [1,2,3,4,5,6,7,8,9,10,11,12]\n",
"Y = temp12[z-1]\n",
"#left, bottom, width, height = 0.1, 0.1, 0.8, 0.8\n",
"#axes = fig.add_axes([left, bottom, width, height])\n",
"#axes = fig.add_axes()\n",
"#axes.plot(X, Y, 'r')\n",
"#plt.show(fig)\n",
"\n",
"#plt.figure(figsize=(9, 4))\n",
"#plt.subplot(111)\n",
"#plt.plot(X, Y, 'r-')\n",
"#subplot.set_xlim(1, 12)\n",
"#plt.show()\n",
"\n",
"#X = np.arange(1,11)\n",
"#Y = np.random.randint(1,20, size=10)\n",
"plt.xlim(1, 12)\n",
"plt.plot(X, Y, 'g')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"上のグラフでは、見栄えがしない。なので、今日の集大成!\n",
"\n",
"## グラフ化!"
]
},
{
"cell_type": "code",
"execution_count": 209,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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PTnh63oO7ewskSW2FSE6WWLRIz5IletLTNUiSi67dwhk2LJCOHWPQaMB8Np/U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13DQa6sRY3Ku9BoGgCgNBcTcO4CZF/BI5dhDg+loFIsR9Zns7jLPApPF1B3XH36LB/ErhMGBg/W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2gGEBOtUWzbFYJXV1j1Nf/ySp1G4AfL7zyM+fTnb2xcTqk6yasYqVM+dRX5nORflDCyibWsHg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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f0753f67400>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure(figsize=(13,8))\n",
"ax = fig.add_subplot(1,1,1)\n",
"#X = np.arange(1,11)\n",
"X = np.arange(1,13)\n",
"#Y = np.random.randint(1,20, size=10)\n",
"\n",
"Y2015 = temp12[z-1]\n",
"Y2005 = temp12[z-11]\n",
"Y1995 = temp12[z-21]\n",
"Y1985 = temp12[z-31]\n",
"Y1975 = temp12[z-41]\n",
"Y1965 = temp12[z-51]\n",
"Y1955 = temp12[z-61]\n",
"Y1945 = temp12[z-71]\n",
"\n",
"plt.xlim(1, 12)\n",
"plt.ylim(-10, 30)\n",
"\n",
"plt.xticks([1,2,3,4,5,6,7,8,9,10,11,12])\n",
"ax.set_xticklabels(['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'])\n",
"\n",
"plt.plot(X, Y2015, 'r', label='2015')\n",
"plt.plot(X, Y2005, 'b', label='2005')\n",
"plt.plot(X, Y1995, 'g', label='1995')\n",
"plt.plot(X, Y1985, 'y', label='1985')\n",
"plt.plot(X, Y1975, 'pink', label='1975')\n",
"plt.plot(X, Y1965, 'grey', label='1965')\n",
"plt.plot(X, Y1955, 'purple', label='1955')\n",
"plt.plot(X, Y1945, 'orange', label='1945')\n",
"\n",
"plt.legend(loc='best')\n",
"plt.title('Temperature of Tokyo')\n",
"plt.xlabel('Month')\n",
"plt.ylabel('Temperature')\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"70年前までさかのぼったけど、少なくとも、この間は、たいして暑くなっていないような気がする。昔も暑い夏はあった。寒い冬も暖冬もあった。「温暖化のせいですかねぇ、最近、暑いです」というのは、少なくとも70歳未満だと、あんまり説得力がない。"
]
},
{
"cell_type": "code",
"execution_count": 171,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.text.Text at 0x7f0753ffb128>"
]
},
"execution_count": 171,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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NE82WtZZa0Udyg2XkHX9N8c/eOOljy1fnGoKMPjU1kQq0PLWBlv6N5BZ3QSrluhwndsha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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f075812b048>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"fig = plt.figure()\n",
"X = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]\n",
"Y = [1, 3, 4, 2, 5, 8, 6, 4, 6, 3, 2, 3]\n",
"axes1 = fig.add_axes([0.5, 0.9, 0.9, 0.9]) # main axes\n",
"#axes2 = fig.add_axes([0.2, 0.6, 0.4, 0.3]) # inset axes\n",
"# main figure\n",
"axes1.plot(X, Y, 'r')\n",
"axes1.set_xlabel('x')\n",
"axes1.set_ylabel('y')\n",
"axes1.set_title('title')\n",
"# insert\n",
"#axes2.plot(Y, X, 'g')\n",
"#axes2.set_xlabel('y')\n",
"#axes2.set_ylabel('x')\n",
"#axes2.set_title('title inside');"
]
},
{
"cell_type": "code",
"execution_count": 158,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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8qQ9ERBIT/ymR+ezevZvY2FiSkpIoLi5iyZJFDBv2R6fDCgter5f3f3mPKV/d\nw8Z9G2iS2JQZ3WdyuXWV7lYtQaF+itFNicznt99yuf/+yXg8XrxeDxdckMHZZ5/ndFghb81v3zNh\n4VgWbv6cOu463HLabYw5/U7qxyU7HZpEi+JikibejTcmhrz7Z4A2aUUdJTKftm2PZ9asV50OI2zs\nKtrJQ0se4MXvXsDj9ZCR3pep5z5A24btnA5Nooz6KYoSmdRIqaeUV9a8xIOL72Nn0U7aNjye+86d\nTu/0vk6HJlHIvW0riY/+DU9KCgV3jXM6HHGIEpn47estXzL+i7/y/W+rSapTn8lnT+Omjn8KSGNh\nkaNR777JuPPz2Df1AfVTjGJKZHJEm/dt4t6vJ/DOT28BcOWJQ7mn6xSaJjZ1ODKJZrFLF6ufogBK\nZFKNw22nP73pmU6HJtHO4yFp/F2A+imKEpkcgrbTS6hTP0WpTInMZ8eO7UybNpmdO3fidru46KJL\nGDLkSqfDCjptp5dQp36KcjAlMp+YmBhuvXUM7dpZFBQUMHz4MLp06Up6eiunQwsKbaeXcJH4yEPq\npyhVKJH5pKSkkpKSCkBiYiKtWrUmJ2dHxCeyUk8pL373AjMWT2Nn0U7aNGjLtPMe1HZ6CUkx69ZS\n9/lnKG3ZioKR6t8pZZTIDmHr1i2sW7c2ou9Ftrd4D59u/IQn35zJyu0rtZ1eQp/XS9LEu9VPUX5H\niewgBQUFTJgwltGj7yAxMfGIz7e7A36gju/1evkx90c+WPcBH677kC82fEGJpwSA6069jum9pnNM\n0jEBGetQgnGngHD5u3ByjHBuShw372PiPslSP0X5HSWySkpKSpgwYSx9+/anW7cefr0mlDuuF5YU\n8tXmL5iXPZesDfPYsPfXisdOa9KZ3ul9ueb0qzjG3QoKIafQnp8lEjrHR8LPENaKi0maoH6KcmhK\nZJVMnz6V1q1bc/nlVzkdylHbtG9jWeLKnsvCzZ9TWFIIQP24ZAa1vYTe6X24oGUGTRKbAPrlKeFB\n/RSlOkpkPqtWrWDevI9p0+Z4rr/+alwuFyNGjKJr13OcDq1aB0oPsHT74ork9ePOHyoesxqdSO/0\nvmSk9+XMY86iTkwdByMVOTrqpyhHokTm07HjqXz++WKnw/BLTkEOn2yYR1Z2Jgs2zmfv/j0AJMQk\n0LtlH3q36kvvln1omZzucKQitad+inIkSmRhwOP1sCpnBVnZmWRlz2X5jm/x4gXguPotufSEIWSk\n9+Xc5t3uQ9YWAAAZfUlEQVSpG1vX4WhFAkf9FMUfticyy7J+BfYAHuCAMaaL3WNGgr3Fe/hszVze\nWv0u8zfMY0fBdgBi3bGc0+w8eqX3ISO9Lyc0snDpwrdEIvVTFD8FY0bmAXoYY3YFYayw5fV6Wbdr\nLfOy5zJ/QybfbP2qYnt8at00rrCuJiO9Lz2Ou4Dk+AYORysSBC+9pH6K4pdgJDIXoE6zh1C+PT5r\nQybzsjN/tz1+0EkXcU5qDzo1OU3NeiWquPbugXHj1E9R/BKMROYF5lmWVQo8Z4x5PghjhqyabI/X\n1niJVomPPAQ7dlCgforih2AksnONMVsty0qjLKH9YIxZGIRxa2z69Kl89dVCGjduzL/+9XpAjlni\nKWHJtkVlS4bZmfywc03FY9oeL/J75f0Uad1a/RTFL7YnMmPMVt9/cyzLehvoAlSbyILRCuhQrr76\nCm666Qb++te/1iqG3MJc5mdnanu8hByn/m35zeuFaydASQnMnEnacWlOR+S4kP87CwG2JjLLshIB\ntzEmz7KsekAf4N4jvc6p5bT0dItt27ZSWurxK4byN5jH62F1zsqKJcPDbY8/p1k3EuscuX+jiF1C\nfak6LvMjGnz8MfvP70ncxReHfLx2i/bLC/4mcbtnZE2Bty3L8vrGetUYk2nzmEHz5po3eXP1O1W2\nx8e4Yji72bkVS4baHi/ip8r9FKfNoLH+3YifbE1kxpj1wKl2juGky964DKi6Pf7843rSIF7dB0Rq\nSv0U5Wips0ct7Pjz3oAfs/JSQjCWFEJxjKNZTrH75wj2eYq2JSX1U5TaUHHSQbxeL16v1+kwRKJK\neT/F/PGT1U9RakyJrJIpU+7hT3+6gY0bNzB48AA++OA9p0MSiXjqpyi1paXFSqZMud/pEESiS+V+\nig/8Tf0U5ahoRiYijkl4/dX/9VM8q6vT4UiYUiITEUe49u6h3rQp6qcotaZEJiKOSHzkIdy5ORTc\ndqf6KUqt6BrZUbCjJ2NlO3ZsZ9q0yezcuRO328VFF13CkCFXBnSM/fv3M2rUTZSUHKC0tJQePXpx\nww0jAjoGgMfj4cYbryEtrQkzZjwa8ONfdtlF1KuXhNvtIjY2lueffzngY+Tl5fHgg/exfv3PuFxu\nxo2bRPv2pwTs+Bs2ZDN58jhcLhder5ctWzZz22230a/fJQEbY/bsV3n//Xdxu920aXM848dPpk4d\n53p7lvdTLE1vRcGfbnEsDokMSmRHoX//QVx22RVMmzbZluPHxMRw661jaNfOoqCggOHDh9GlS1fS\n01sFbIy4uDiefPJZEhISKC0tZeTI4XTteg4nnxy4X9AAb7zxH1q1akN+fl5Aj1vO5XLz5JPPkpyc\nbMvxAR5//GHOPvtcpk2bQUlJCcXFRQE9fsuW6bz44mtAWeK/5JL+ZGRkBOz4ubk5zJnzf7z22hzq\n1KnDpEnjyMqaS79+AwM2Ro14vSRNvBtXSQl59z4ACQnOxCERQ0uLR6FTp1OpX9++X5wpKam0a2cB\nkJiYSKtWrcnJ2RHwcRJ8v0AOHCiblQW6ldaOHdv5+usvGTjw4oAetyovXq/HtqPn5+excuVyBgwY\nBEBsbCz16iXZNt7SpYtp3rwFxx57bECP6/GUUlhYSElJCUVFRaSmOteMN27ex8R9ksX+83uyv98A\nx+KQyKEZWYjbunUL69atDfhMCco+/Q8fPozNmzczePAQTjqpfUCP/8QTMxk1ajR5efbMxsq4GDNm\nFG53DIMGXcKgQYFbjgPYsmULDRo05IEH7uWnn9ZiWSdz2213EB9vzyxi/vxMevfuG9BjpqamceWV\nw7j00oEkJCTQpctZnHnmWQEdw28H9VNE/RQlADQjC2EFBQVMmDCW0aPvIDEx8F3z3W43L774Gm+/\n/QFr1nzH+vW/BOzY5dcQ27WzfN1SAnboKp555p/MmvUqf/vb47z11husXLkioMcvLS1l7dofGTx4\nCLNmvUpCQgL//ve/AjpGuZKSEr788nN69uwd0OPu27ePhQs/4803/8s773xEQUEhmZkfB3QMf5X3\nUywcPkL9FCVg/EpklmVpETvISkpKmDBhLH379qdbtx62jlWvXhKdO5/BokVfBeyYq1evZOHCzxky\n5GLuvfceli9fyn33TQrY8culpqYC0KhRI7p378EPP3wX0OM3adKEJk2O4cQTTwagR49eGPNjQMco\n9803X3LCCSfRqFGjgB536dJFNGvWnOTkBsTExHD++T357ruVAR3DH+qnKHbxd0b2q2VZj1iW1dbW\naMKI3T0Zp0+fSuvWrbn88qtsOf7u3bsrlvyKi4tYsmRRQDeT3HzzKN566wPeeONdpkx5gM6dz2Di\nxMDWChUVFVFQUABAYWEhS5Z8Q5s2xwd0jMaNU2jatCkbNmQDsGzZYlq1ah3QMcrNmzeXjIzALisC\nNG16DN9/v5ri4mK8Xi/Lli0hPd2en6E66qcodvH3GllHYATwiWVZa4CnjTHv2xdWaJsy5R6WL1/G\n3r17GDx4AMOH31yxGSAQVq1awbx5H9OmzfFcf/3VuFwuRowYRdeu5wRsjN9+y+X++yfj8ZRtlrjg\nggzOPvu8gB0/GHbu/I3x4+/C5SpbAszI6EeXLoHvDjF69J1MnTqRkpISmjVrzvjxgd+tWlRUxLJl\nixk79p6AH/vkk0/xlVcMJTY2lnbtLC6+eHDAx6mO+imKnVw1mVVYlhUDXAw8BpQCT1GW1AK5H9kb\nTbevOFi03b7jUHQOIuwceDw0vLAndVYsZ9d/M/1uRRVR5+AoRfs5SEur79duIL83e1iWlQjcCEwG\nfgLuAU4EPjyaAEUkOqifotjNr6VFy7KeAgYD7wFDjTHlV9RfsyzLnivfIhL21E9RgsHfa2S/Au2N\nMbsO8VjPwIUjIpGkvJ9i/vhJ6qcotvErkRljHq7msa2BC0dEIoX6KUqwqCBaRAJP/RQliJTIRCTg\n1E9RgkmJTEQCS/0UJciUyEQkoNRPUYJNiUxCwmuvvcLMmTMq/n/Xrp0MGtSX4uJiB6OSmlI/RXGC\nEpmEhIEDL+azzxZQVFTWJObdd98iI+NC4uPjHY5MakL9FMUJSmQSEpKTkznvvO58/PEHlJaW8t//\nvsPgwUOcDktqQP0UxSlKZBIyLr30ct5+ew7z58+nVas2NG/ewumQxF8eD0nj7wIg74G/QUyMwwFJ\nNAlKIrMsy21Z1reWZb0XjPEkPLVpczwNGjTggQce0GwszKifojgpWDOy0cCaII0lYWzgwD/gdrs5\n99xuTociflI/RXGa7YnMsqwWQH/gBbvHkvC3fPlShg0b5nQYUgPl/RQLbrtT/RTFEcGYkT0K3AXY\ndztlCXu5ublcffWlbN64gaEDBzodjvhJ/RQlFNiayCzLGgBsN8asAFy+L5HfSU1J4c3Lr+bfX31J\n/PHHE7tyudMhyZGon6KEiBrdIbqmLMt6ABgGlAB1gfrAW8aYa6t5mWZu0WbpUrjtNvjyS4iLgwMH\noGlT+PpraNXK6ejkcN5/Hy66CDIyYO5ctaISO/j1prI1kVVmWdb5wB3GmEFHeKo3ym/tHTW3Nndv\n20q9++8lYfZrABQPGETepKmkLPoc/vIXSk6w2P1+Jt6GjRyONPhC/n1QXEzjbl1wb9zArk+/tqUV\nVcifgyCI9nOQllbfr0Tm7401RQKnsJDEfzxF4uMzcRXkU9K+A3n3TefAed3LHu/SiYI1a0n8x1Mk\nXzeUPbPfBnX4CCnl/RQLRoxUP0VxXNASmTHmM+CzYI0nIcjrJf7dt6g3dRIxmzbiSU0jb9qDFF01\n7HcFtPlTphGzaSPx779L/dEj2ff3F8Ct+v1QoH6KEmo0I5OgiF3xLUkT7qbO4m/wxsVRcMttFIy5\nE2/95EO/wO1m79PP0XD7NhLemoPnuHTy75kc3KDlkMr7Ke6b+oD6KUpI0EdcsZV721bq3/onGvXp\nQZ3F31A8YBA7v1hM/qSph09i5erWZc/Lr1PSpi2Jjz9Cwr9mBSdoOSz1U5RQpEQm9igsJPHRv9G4\na2cSZr9GSfsO7H7rffa++G88rdv4fRhvSgp7/vMmntRUksbeTlzWXBuDlmqpn6KEKCUyCSyvl/h3\n3qTxuWdQb/p9eBMT2TfzSXZlff6/zRw15Gndhj2vzIb4eJJvvE41Zg5RP0UJVUpkEjCxK76l4UV9\nSR5xPe4d2ym45TZ2LlpO0bA/1vrTe8npZ7L3mX9CYQHJQy/HvSE7QFGLP9RPUUKZEpnUWq2ug9XA\n/v4Dybt/BjE7ttPg6stw7d4VsGNL9dRPUUKZEpkcvQBdB6uJohv/RMGfbiF2rSH5uqFQXGzLOPI/\n6qcooU6JTGrOhutgNZE/ZRrFAy8m7quF1B89Ejwe28eMWuqnKGFAdWRSIzWuB7ODasyCJm7ex8R9\nksX+83uyv98Ap8MROSTNyMQvwboO5jfVmNmvuJikCXfjjYkhb9oMNQWWkKVEJtVz4DqYv1RjZq/y\nfoqFw0eon6KENCUyOTSHr4P5SzVm9lA/RQknSmTyO3bWg9lBNWaBV95PMX/8ZPVTlJCnRCYVQu46\nWA2oxixw1E9Rwo0SmYT0dbCaUI1ZAKifooQhJbJoFibXwWpCNWa1o36KEo5URxalQqIezA6qMTtq\n6qco4UozsigTztfB/KYas6OifooSrpTIokWEXAfzl2rMakb9FCWcKZFFugi8DuYv1Zj5Sf0UJcwp\nkUWwcKsHs4NqzI5M/RQl3CmRRaCouA5WA6oxq4b6KUoEUCKLJFF2HawmVGN2aOqnKJFAiSwSRPF1\nsJpQjVlV6qcokUJ1ZGEuYuvB7KAasyrK+ynum/qA+ilKWNOMLEzpOthRUo0ZoH6KElmUyMKNroPV\nWtTXmKmfokQYJbJwoetgARXNNWbqpyiRxtZrZJZlxQOfA3G+seYYY+61c8xIpOtg9iivMUu+fijJ\nQy9n94dZeFqmOx2WrdRPUSKRrTMyY0wx0NMYcxpwKtDPsqwudo4ZSXQdzH7RVmOmfooSiWxfWjTG\nFPj+GE/ZrMxr95hhT9fBgipaaszUT1Eile3b7y3LcgPLgLbA08aYJXaPGba8Xpg9m8Z33kXMpo14\nUtPIm/YgRVcN0wV5m+VPmUbMpo3Ev/8u9UePZN/fXwB3BF1CVj9FiWDBmJF5fEuLLYCzLMs62e4x\nw5LXW7aT7Moro7YvoqN8NWYHzjyLhLfmUG/6fU5HFFDqpyiRzOX1Bm+lz7KsiUC+MWZmNU+LzqXH\nhx+Gu+6CU06Bd96Btm2djig65ebCOefAunXwj3/AzTc7HVHtFRdD+/bw66+wahWcrM+SEjb8av5p\n967FVOCAMWaPZVl1gQzgwSO9Lidnn51hhZz4d98i+a67KD22GTEffUROfAOIsnNQWVpafQffA/G4\n//0GjQb0xvXnP7M3OYX9vfsGPYpAnoO6TzxK0s8/UzBiJPlpx4XNe8vZ90FoiPZzkJZW36/n2b20\neCywwLKsFcAiYK4x5kObxwwrdb75ivqjRuBJqs+eV9+AFi2cDinqRVKNmfopSjSwdUZmjFkNdLZz\njHAW89M6kq+9Ejwe9v7zZUpP6eB0SOITKTVm6qco0SCCtmWFF9eOHTS48lLcu3ez75EnONCzl9Mh\nyUHCvcZM/RQlWiiROSE/nwbXXE7Mhl/Jv/Nuiq8a5nREchhhW2OmfooSRZTIgq20lOQ/3UCd5d9S\ndMXVum4RBsLxPmbqpyjRRIksmHy1YvFzP2J/957se+QJ3Vo+HIRZjZn6KUq0USILorp/f5K6L75A\nyUnt2TvrZYiLczok8VcY3cdM/RQl2iiRBUn8u2+RdO8ESo9txp7/zMGb3MDpkKSGwuE+ZuqnKNFI\niSwIDq4V06fk8BXSNWbqpyhRSonMZqoVizzlNWYUFpA89HLcG7KdDglQP0WJXkpkNlKtWOQKuRqz\n4mKSJtyNNyaGvGkztIlIoooSmV1UKxbxQqnGrO6zfyfm1/UUDh9BqXWiY3GIOEGJzA6qFYsaoVBj\npn6KEu2UyAJNtWLRJQRqzMr7KeaPn6x+ihKVlMgCTLViUcjBGjP1UxRRIgso1YpFL0dqzNRPUQRQ\nIgsY1YpJsGvM1E9RpIwSWQCoVkzKBavGTP0URf5HiayWVCsmBwtGjZn6KYr8jxJZbahWTA7Dzhoz\n9VMUqUqJ7GipVkyOwJYaM/VTFPkdJbKjoVox8YcNNWbqpyjye0pkR0G1YuK3QNaYqZ+iyCEpkdWQ\nasWkpgJVY6Z+iiKHpkRWA6oVk6NV2xoz9VMUOTwlMj+pVkxqqzY1ZuqnKHJ4SmR+UK2YBMrR1Jip\nn6JI9ZTIjkS1YhJgNaoxUz9FkSNSIquOasXEJv7WmKmfosiRKZEdjmrFxE5+1Jipn6KIf2LtPLhl\nWS2Al4GmgAd43hjzhJ1jBopqxcR2vhqzhgN6k/j4I5S2OI6iP95Q8XB5P8X88ZO0Q1akGnbPyEqA\n240x7YGzgVGWFfoFMKoVk2A5bI3Zjz+qn6KIn2xNZMaYbcaYFb4/5wE/ACH90VK1YhJsh6wxGzNG\n/RRF/BS0a2SWZbUCTgUWBWvMmlKtmDilco1Zg0sGwscfq5+iiJ+Cksgsy0oC5gCjfTOzkKNaMXFa\neY2ZO28fqJ+iiN9cXq/X1gEsy4oF3gc+MsY87sdL7A3oUPLzoWdPWLIEJk+GKVOCHoJIhVmzICkJ\nLr/c6UhEnObXJ7lgJLKXgVxjzO1+vsSbk7PPzpCqKi0l+bqriZ/7EUVXXM2+J55x9FNwWlp9gvrz\nhyCdA50D0DkAnYO0tPp+/TK2e/v9ucBQYLVlWcspm22NN8Z8bOe4flOtmIhI2LM1kRljvgRCtqeO\nasVERMJf1Hb2UK2YiEhkiMpEploxEZHIEXWJTLViIiKRxdZrZKGmcq3Y3sf/rloxEZEIED0zMt1X\nTEQkIkVHItN9xUREIlbkJzLViomIRLSIT2SqFRMRiWwRnchUKyYiEvkiNpGpVkxEJDpEZCJTrZiI\nSPSIuDoy1YqJiESXyJqRqVZMRCTqRE4iU62YiEhUioxEploxEZGoFRGJTLViIiLRK+wTmWrFRESi\nW1gnMtWKiYhI2CYy1YqJiAiEaR2ZasVERKRc+M3IVCsmIiKVhFciU62YiIgcJHwSmWrFRETkEMIm\nkalWTEREDiUsEplqxURE5HBCPpGpVkxERKoT0olMtWIiInIkIVtHploxERHxh62JzLKsfwIDge3G\nmI5+v1C1YiIi4ie7lxZfBPrW6BWqFRMRkRqwNZEZYxYCu2r0otGjVSsmIiJ+C73NHk8/rVoxERHx\nW+glsubNVSsmIiJ+C71di5s2uVKcjsFhaWn1nQ7BcToHOgegcwA6B/4IxozM5fsSEREJOJfX67Xt\n4JZlvQb0AFKA7cBkY8yLtg0oIiJRx9ZEJiIiYrfQ2+whIiJSA0pkIiIS1pTIREQkrIXM9vuj7ssY\nISzLagG8DDQFPMDzxpgnnI0quCzLigc+B+Ioe2/OMcbc62xUwWdZlhtYCmwyxgxyOp5gsyzrV2AP\nZf8ODhhjujgakAMsy2oAvACcQtl5uMEYs8jZqILHsqwTgNmAl7Jd722AiYf7nRhKM7Ka92WMLCXA\n7caY9sDZwCjLsk50OKagMsYUAz2NMacBpwL9LMuKul9iwGhgjdNBOMgD9DDGnBaNScznceBDY8xJ\nQCfgB4fjCSpjzFrf339n4HQgH3j7cM8PmUR2VH0ZI4gxZpsxZoXvz3mUvXGj7i6ixpgC3x/jKZuV\nRdW2Wt/MvD9ln8ajlYsQ+t0UbJZlJQPdykuVjDElxpi9DoflpN7Az8aYjYd7QsgsLcr/WJbVirIZ\nSdQsJZTzLastA9oCTxtjljgcUrA9CtwFRHOPNi8wz7KsUuA5Y8zzTgcUZK2BXMuyXqRsNrYUGG2M\nKXQ2LMdcAfynuidE7aeeUGVZVhIwh7I3bp7T8QSbMcbjW1psAZxlWdbJTscULJZlDaDsGvEKorsj\nzrm+JaX+lC2xn+d0QEEWC3Sm7INcZ6AAuNvZkJxhWVYdYBDwRnXPUyILIZZlxVKWxF4xxrzrdDxO\n8i2lLAAudDqWIDoXGGRZ1i+UfQLtaVnWyw7HFHTGmK2+/+ZQdl0k2q6TbQI2GmOW+v5/DmWJLRr1\nA5b53guHFWqJLJo/hQLMAtYYYx53OhAnWJaV6tuthWVZdYEM4EdnowoeY8x4Y0xLY0wb4ErgE2PM\ntU7HFUyWZSX6ViWwLKse0Af4ztmogssYsx3Y6Nu5B9CL6N38cxVHWFaEELpGVrkvo2VZG4iyvoyW\nZZ0LDAVWW5a1nLLrBOONMR87G1lQHQv8y3edzA3MNsZ86HBMElxNgbcty/JS9vvpVWNMpsMxOeEv\nwKu+pbVfgOsdjifoLMtKpGyjx4gjPVe9FkVEJKyF2tKiiIhIjSiRiYhIWFMiExGRsKZEJiIiYU2J\nTEREwpoSmYiIhDUlMhERCWtKZCIiEtaUyERChFVmg2VZx/n+f7Kv442IVEOdPURCiGVZQ4FbgEnA\nE8AZxph8Z6MSCW1KZCIhxncfqsspu53JCqfjEQl1WloUCSG+JrHtKbtb+rEOhyMSFpTIRELLw5Td\nETgD+IdlWc0cjkck5CmRiYQIy7IuBroDtxljfgCmAP/x3dZGRA5D18hERCSs6ZOeiIiENSUyEREJ\na0pkIiIS1pTIREQkrCmRiYhIWFMiExGRsKZEJiIiYU2JTEREwtr/A2WqDD0CP6VcAAAAAElFTkSu\nQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f0758103390>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"fig = plt.figure()\n",
"X = [1, 2, 3, 4, 5, 6, 7]\n",
"Y = [1, 3, 4, 2, 5, 8, 6]\n",
"axes1 = fig.add_axes([0.1, 0.1, 0.9, 0.9]) # main axes\n",
"axes2 = fig.add_axes([0.2, 0.6, 0.4, 0.3]) # inset axes\n",
"# main figure\n",
"axes1.plot(X, Y, 'r')\n",
"axes1.set_xlabel('x')\n",
"axes1.set_ylabel('y')\n",
"axes1.set_title('title')\n",
"# insert\n",
"axes2.plot(Y, X, 'g')\n",
"axes2.set_xlabel('y')\n",
"axes2.set_ylabel('x')\n",
"axes2.set_title('title inside');"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"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": "3.5.2"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
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