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@sinhrks
Last active September 4, 2015 13:36
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pandas GH10657/GH10819
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## minorticks\n",
"https://github.com/pydata/pandas/issues/10657"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x106262090>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df = pd.DataFrame(list(zip(range(10), range(0, -10, -1))), columns=['a', 'b'],\n",
" index=pd.date_range('2000-01-01', freq='Q', periods=10))\n",
"\n",
"# when axes are shared, axis must be hidden\n",
"fig, axes = plt.subplots(2, 1, sharex=True)\n",
"axes = df.plot(subplots=True, ax=axes)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/sin/Documents/Git/pandas/pandas/tools/plotting.py:3225: UserWarning: When passing multiple axes, sharex and sharey are ignored.These settings must be specified when creating axes\n",
" \"These settings must be specified when creating axes\", UserWarning)\n"
]
},
{
"data": {
"image/png": 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GfdhKZZN0ztecZ8XuFd7J6R3HdpCfnc/8vPkU5hWS1zfP7xJNyIR2pfIlBYhk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\nYIwxJuL/A6S2JB7mIFx3AAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x103130110>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, axes = plt.subplots(2, 1)\n",
"axes = df.plot(subplots=True, ax=axes, sharex=True)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x1064241d0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, axes = plt.subplots(2, 2, sharex=True, sharey=True)\n",
"axes = df.plot(subplots=True, ax=[axes[0][0], axes[1][1]])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## gridspec\n",
"https://github.com/pydata/pandas/issues/10819"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [
{
"data": {
"image/png": 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v2gV07QqsWwcUy4dTaKVKLJSUF1hBKVcOOHmSJ0kB1v4B/h2WLwfWrjXv+o6K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\nKnRjjAkIq9CNMSYg/g/tW7iTQJz1vQAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10057b810>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import pandas as pd\n",
"from pandas import *\n",
"import matplotlib.pyplot as plt\n",
"import matplotlib.gridspec as gridspec\n",
"\n",
"ts = pd.Series(np.random.randn(1000), index=pd.date_range('1/1/2000', periods=1000))\n",
"ts = ts.cumsum()\n",
"\n",
"df = pd.DataFrame(np.random.randn(1000, 2), index=ts.index, columns=list('AB'))\n",
"df = df.cumsum()\n",
"\n",
"# vertical\n",
"gs = gridspec.GridSpec(3,1)\n",
"fig = plt.figure()\n",
"ax = fig.add_subplot(gs[:2, :])\n",
"ax2 = fig.add_subplot(gs[2, :])\n",
"ax = ts.plot(ax=ax)\n",
"ax2 = df.plot(ax=ax2)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"array([<matplotlib.axes._subplots.AxesSubplot object at 0x1069fdf50>,\n",
" <matplotlib.axes._subplots.AxesSubplot object at 0x10821ea90>], dtype=object)"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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VV4GPPwa+/lp/hP7gAY9cf/pJTUJKSuKRuyWToYYoBv2vv/Szcm3BhAlcF1Yx5N7e/OCu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\nAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x106a05050>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# vertical with subplot\n",
"gs = gridspec.GridSpec(3,1)\n",
"fig = plt.figure()\n",
"ax = fig.add_subplot(gs[:2, :])\n",
"ax2 = fig.add_subplot(gs[2, :])\n",
"df.plot(subplots=True, ax=[ax, ax2])"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"array([<matplotlib.axes._subplots.AxesSubplot object at 0x1083e2110>,\n",
" <matplotlib.axes._subplots.AxesSubplot object at 0x10864dd90>], dtype=object)"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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F1a8tCdLgSyQ2plo1VossijuiOISEcKz677+r65QwRt3MVFtQmAvL21t9KCkPIyJgyBBg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\nlMnlAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1083e2ad0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# vertical with subplot, sharex=True\n",
"gs = gridspec.GridSpec(3,1)\n",
"fig = plt.figure()\n",
"ax = fig.add_subplot(gs[:2, :])\n",
"ax2 = fig.add_subplot(gs[2, :])\n",
"df.plot(subplots=True, ax=[ax, ax2], sharex=True)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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HDsz8diZ5Of6C7v77vPuuXhYXw5jBY6isreSgg5Jj1mqJWEG3RI0R9O3bg/e5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\nQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1069baa90>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# horizontal\n",
"gs = gridspec.GridSpec(1,3)\n",
"fig = plt.figure()\n",
"ax = fig.add_subplot(gs[:, :2])\n",
"ax2 = fig.add_subplot(gs[:, 2])\n",
"ax = ts.plot(ax=ax)\n",
"ax2 = df.plot(ax=ax2)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"array([<matplotlib.axes._subplots.AxesSubplot object at 0x106cfa190>,\n",
" <matplotlib.axes._subplots.AxesSubplot object at 0x106ca87d0>], dtype=object)"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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0MBKGqv19c60EPd3juZWgX3ttasfBJIcbh9yI/h36Y1dtqKC3zJOF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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x106cfeb10>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# vertical with subplot\n",
"gs = gridspec.GridSpec(1,3)\n",
"fig = plt.figure()\n",
"ax = fig.add_subplot(gs[:, :2])\n",
"ax2 = fig.add_subplot(gs[:, 2])\n",
"df.plot(subplots=True, ax=[ax, ax2])"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"array([<matplotlib.axes._subplots.AxesSubplot object at 0x10888aa10>,\n",
" <matplotlib.axes._subplots.AxesSubplot object at 0x108c24ad0>,\n",
" <matplotlib.axes._subplots.AxesSubplot object at 0x108ca88d0>,\n",
" <matplotlib.axes._subplots.AxesSubplot object at 0x108d0e390>], dtype=object)"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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Ph7w81/VNUWJbt4pCsZTKqFGBHyMSeFPodXXS8+3Ro3nlycyEv/1NzCN2zyF3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\nBhLIBgAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10888a810>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# box with subplot\n",
"gs = gridspec.GridSpec(3,3)\n",
"fig = plt.figure()\n",
"ax1 = fig.add_subplot(gs[:2, :2])\n",
"ax2 = fig.add_subplot(gs[:2, 2])\n",
"ax3 = fig.add_subplot(gs[2, :2])\n",
"ax4 = fig.add_subplot(gs[2, 2])\n",
"\n",
"df = pd.DataFrame(np.random.randn(1000, 4), index=ts.index, columns=list('ABCD'))\n",
"df = df.cumsum()\n",
"df.plot(subplots=True, ax=[ax1, ax2, ax3, ax4])"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"array([<matplotlib.axes._subplots.AxesSubplot object at 0x106edbed0>,\n",
" <matplotlib.axes._subplots.AxesSubplot object at 0x106c9a550>,\n",
" <matplotlib.axes._subplots.AxesSubplot object at 0x1067d8a50>,\n",
" <matplotlib.axes._subplots.AxesSubplot object at 0x109034e10>], dtype=object)"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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OgKEG31z/SmIilaeWMCXwMzPlaK3FGp+hqbo8gsZZdXQVfF6TY0jWpK3RJlp5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\nPpxhyZdZAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x108d91790>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# box with subplot\n",
"gs = gridspec.GridSpec(3,3)\n",
"fig = plt.figure()\n",
"ax1 = fig.add_subplot(gs[:2, :2])\n",
"ax2 = fig.add_subplot(gs[:2, 2])\n",
"ax3 = fig.add_subplot(gs[2, :2])\n",
"ax4 = fig.add_subplot(gs[2, 2])\n",
"\n",
"df.plot(subplots=True, ax=[ax1, ax2, ax3, ax4], sharex=True, sharey=True)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"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": "2.7.9"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
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