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December 4, 2014 06:20
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Python - Useful snippets
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{ | |
"cells": [ | |
{ | |
"cell_type": "heading", | |
"level": 1, | |
"metadata": {}, | |
"source": [ | |
"Useful code snippets" | |
] | |
}, | |
{ | |
"cell_type": "heading", | |
"level": 2, | |
"metadata": {}, | |
"source": [ | |
"Table of contents" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
" * [Colormaps for matplotlib](#Colormaps-for-matplotlib)\n", | |
" * [Create dataframe from clipboard](#Copy-clipboard-to-a-dataframe)\n", | |
" * [IPython plotting - Best practice](#List-all-available-ODBC-connections)\n", | |
" * [List all avaiable OBDC connections](#iPython-plotting---Best-practice)\n", | |
" * [Matplotlib linestyles and markers](#Matplotlib-markers-ane-linestyles)\n", | |
" * [Module information](#Module-information)\n", | |
" * [Modules installed](#Modules-installed)\n", | |
" * [ODBC connection](#ODBC-connection)\n", | |
" * [Pivot table](#Pivot-tables)\n", | |
" * [Python versions](#Python-version)" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"---" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"import pandas as pd\n", | |
"import numpy as np\n", | |
"import datetime\n", | |
"import time\n", | |
"import xlrd\n" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 2 | |
}, | |
{ | |
"cell_type": "heading", | |
"level": 3, | |
"metadata": {}, | |
"source": [ | |
"List all available ODBC connections" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"import pyodbc\n", | |
"sources = pyodbc.dataSources()\n", | |
"dsns = sources.keys()\n", | |
"dsns.sort()\n", | |
"sl = []\n", | |
"for dsn in dsns:\n", | |
" sl.append('%s [%s]' % (dsn, sources[dsn]))\n", | |
"print('\\n'.join(sl))" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"Excel Files [Microsoft Excel Driver (*.xls, *.xlsx, *.xlsm, *.xlsb)]\n", | |
"MS Access Database [Microsoft Access Driver (*.mdb, *.accdb)]\n", | |
"PROD [Oracle in OraClient11g_home1]\n", | |
"dBASE Files [Microsoft Access dBASE Driver (*.dbf, *.ndx, *.mdx)]\n" | |
] | |
} | |
], | |
"prompt_number": 12 | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"[Back to top](#Useful-code-snippets)\n", | |
"\n", | |
"---" | |
] | |
}, | |
{ | |
"cell_type": "heading", | |
"level": 3, | |
"metadata": {}, | |
"source": [ | |
"iPython plotting - Best practice" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"import matplotlib.pyplot as plt\n", | |
"%matplotlib inline" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 8 | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"[Back to top](#Useful-code-snippets)\n", | |
"\n", | |
"---" | |
] | |
}, | |
{ | |
"cell_type": "heading", | |
"level": 3, | |
"metadata": {}, | |
"source": [ | |
"ODBC connection" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"import pyodbc\n", | |
"cnxn = pyodbc.connect('DSN=PROD;PWD=XhQ6rdDG')\n", | |
"cursor = cnxn.cursor()\n", | |
"qry = \"SELECT * FROM XXDW.XXDW_NG_AGREEMENTS O4023212;\"\n", | |
"data = pd.read_sql(qry, cnxn)" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 6 | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"[Back to top](#Useful-code-snippets)\n", | |
"\n", | |
"---" | |
] | |
}, | |
{ | |
"cell_type": "heading", | |
"level": 3, | |
"metadata": {}, | |
"source": [ | |
"HTML output" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"from IPython.core.display import HTML\n", | |
"from markdown import markdown\n", | |
"first_name = 'FRED'\n", | |
"second_name = 'BLOGGS'\n", | |
"HTML_str = markdown_string = \"My name is {0} is {1}\".format(first_name, second_name)\n", | |
"HTML(\"<hr><h3>{}</h3><hr>\".format(markdown(markdown_string)))\n" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"html": [ | |
"<hr><h3><p>My name is FRED is BLOGGS</p></h3><hr>" | |
], | |
"metadata": {}, | |
"output_type": "pyout", | |
"prompt_number": 11, | |
"text": [ | |
"<IPython.core.display.HTML at 0x13cb0d68>" | |
] | |
} | |
], | |
"prompt_number": 11 | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"[Back to top](#Useful-code-snippets)\n", | |
"\n", | |
"---" | |
] | |
}, | |
{ | |
"cell_type": "heading", | |
"level": 3, | |
"metadata": {}, | |
"source": [ | |
"Pivot tables" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"# generate a data frame\n", | |
"\n", | |
"ix_0 = promotions.index # date\n", | |
"ix_1 = promotions['Promo'] # sourceMedium\n", | |
"promotions_pivot = promotions.pivot_table(index=ix_0, columns=ix_1, values='ACCOUNT_NUMBER', aggfunc='count', fill_value=float(0))" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"[Back to top](#Useful-code-snippets)\n", | |
"\n", | |
"---" | |
] | |
}, | |
{ | |
"cell_type": "heading", | |
"level": 3, | |
"metadata": {}, | |
"source": [ | |
"Python version" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"!which python" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"/cygdrive/c/Anaconda/python\n" | |
] | |
} | |
], | |
"prompt_number": 14 | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"[Back to top](#Useful-code-snippets)\n", | |
"\n", | |
"---" | |
] | |
}, | |
{ | |
"cell_type": "heading", | |
"level": 3, | |
"metadata": {}, | |
"source": [ | |
"Modules installed" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"!pip freeze" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"Cython==0.20.1\n", | |
"DataShape==0.2\n", | |
"Flask==0.10.1\n", | |
"Jinja2==2.7.2\n", | |
"Markdown==2.5.1\n", | |
"MarkupSafe==0.18\n", | |
"PIL==1.1.7\n", | |
"PyYAML==3.11\n", | |
"Pygments==1.6\n", | |
"SQLAlchemy==0.9.4\n", | |
"Sphinx==1.2.2\n", | |
"Werkzeug==0.9.6\n", | |
"XlsxWriter==0.5.5\n", | |
"argcomplete==0.6.7\n", | |
"astropy==0.3.2\n", | |
"atom==0.3.7\n", | |
"backports.ssl-match-hostname==3.4.0.2\n", | |
"beautifulsoup4==4.3.1\n", | |
"binstar==0.5.3\n", | |
"bitarray==0.8.1\n", | |
"blaze==0.5\n", | |
"blz==0.6.2\n", | |
"bokeh==0.4.4\n", | |
"boto==2.28.0\n", | |
"casuarius==1.1\n", | |
"cdecimal==2.3\n", | |
"chaco==4.4.1\n", | |
"colorama==0.2.7\n", | |
"conda==3.7.0\n", | |
"conda-build==1.3.5\n", | |
"configobj==5.0.5\n", | |
"cubes==0.10.2\n", | |
"docutils==0.11\n", | |
"enable==4.3.0\n", | |
"enaml==0.9.1\n", | |
"future==0.12.1\n", | |
"gevent==1.0.1\n", | |
"gevent-websocket==0.9.3\n", | |
"greenlet==0.4.2\n", | |
"grin==1.2.1\n", | |
"h5py==2.3.0\n", | |
"ipython==2.3.0\n", | |
"itsdangerous==0.24\n", | |
"jdcal==1.0\n", | |
"kiwisolver==0.1.2\n", | |
"llvmpy==0.12.6\n", | |
"lxml==3.3.5\n", | |
"matplotlib==1.3.1\n", | |
"menuinst==1.0.3\n", | |
"mock==1.0.1\n", | |
"multipledispatch==0.4.3\n", | |
"networkx==1.8.1\n", | |
"nltk==2.0.4\n", | |
"nose==1.3.4\n", | |
"numba==0.13.2\n", | |
"numexpr==2.3.1\n", | |
"numpy==1.9.0\n", | |
"openpyxl==1.8.5\n", | |
"pandas==0.14.0\n", | |
"patsy==0.2.1\n", | |
"pep8==1.5.6\n", | |
"ply==3.4\n", | |
"psutil==2.1.1\n", | |
"py==1.4.20\n", | |
"pycosat==0.6.1\n", | |
"pycparser==2.10\n", | |
"pycrypto==2.6.1\n", | |
"pyface==4.4.0\n", | |
"pyflakes==0.8.1\n", | |
"pyodbc==3.0.7\n", | |
"pyparsing==2.0.1\n", | |
"pyreadline==2.0\n", | |
"pytest==2.5.2\n", | |
"python-dateutil==1.5\n", | |
"pytz==2014.3\n", | |
"pywin32==218.4\n", | |
"pyzmq==14.3.0\n", | |
"requests==2.4.3\n", | |
"rope==0.9.4\n", | |
"runipy==0.1.0\n", | |
"scikit-image==0.10.0\n", | |
"scikit-learn==0.15.2\n", | |
"scipy==0.14.0\n", | |
"six==1.6.1\n", | |
"spyder==2.3.0rc\n", | |
"statsmodels==0.5.0\n", | |
"sympy==0.7.5\n", | |
"tables==3.1.1\n", | |
"tornado==3.2.1\n", | |
"traits==4.4.0\n", | |
"traitsui==4.4.0\n", | |
"ujson==1.33\n", | |
"wsgiref==0.1.2\n", | |
"xlrd==0.9.3\n", | |
"xlwings==0.1.0\n", | |
"xlwt==0.7.5\n" | |
] | |
} | |
], | |
"prompt_number": 15 | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"[Back to top](#Useful-code-snippets)\n", | |
"\n", | |
"---" | |
] | |
}, | |
{ | |
"cell_type": "heading", | |
"level": 3, | |
"metadata": {}, | |
"source": [ | |
"Module information" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"!pip show pyodbc" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"---\n", | |
"Name: pyodbc\n", | |
"Version: 3.0.7\n", | |
"Location: c:\\anaconda\\lib\\site-packages\n", | |
"Requires: \n" | |
] | |
} | |
], | |
"prompt_number": 2 | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"[Back to top](#Useful-code-snippets)\n", | |
"\n", | |
"---" | |
] | |
}, | |
{ | |
"cell_type": "heading", | |
"level": 3, | |
"metadata": {}, | |
"source": [ | |
"Colormaps for matplotlib" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"import matplotlib.pyplot as plt\n", | |
"%matplotlib inline\n", | |
"from pylab import *\n", | |
"from numpy import outer\n", | |
"rc('text', usetex=False)\n", | |
"a=outer(arange(0,1,0.01),ones(10))\n", | |
"figure(figsize=(10,5))\n", | |
"subplots_adjust(top=0.8,bottom=0.05,left=0.01,right=0.99)\n", | |
"maps=[m for m in cm.datad if not m.endswith(\"_r\")]\n", | |
"maps.sort()\n", | |
"l=len(maps)+1\n", | |
"for i, m in enumerate(maps):\n", | |
" subplot(1,l,i+1)\n", | |
" axis(\"off\")\n", | |
" imshow(a,aspect='auto',cmap=get_cmap(m),origin=\"lower\")\n", | |
" title(m,rotation=90,fontsize=10)\n", | |
"savefig(\"colormaps.png\",dpi=100,facecolor='gray')" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"metadata": {}, | |
"output_type": "display_data", | |
"png": 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PrxploI+MbzUMFS9tNkpOUrp9Lpj31cXyfX5BQQHFxcUkJorGX1RU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\nzfmzH+BLygTA9nrD3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iNpVyCJefdBwyX+4pZea3afTNKN5II2tRFpBc7Zymdbme0mPtth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\n47xSIKlgWze1M9tnz0ZOpoOk/L5GYFt1e6Ltj4NtG637bB8To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rC91CLfEVt1MhnVCGwv\nRBupAFSZbbb+0zy953y2PtbyGZwzDLZXz1oeM9stfLYbWP8xs21ruCXMbC+U7n28nrLzARvKwXZn\ntmOxTrM9DLnmTovZrsVqpcx2TkayKbMNidG8KLOtHrX62xp0kNyU2a4nWtqpMdvXiVbWfxf3g8w2\na7YpraSbRiXz2jHbZ6/ZjjPbutV5o/xGNWO1+I80UhxsFwP5Ci63htkOg+11RYNHjlTYZ1vA9vw+\nG0rBNq+1M9v1UI9qGissi3XNtm0c0YrqvPl3quxRkZvVAlnBOfvxZhm1ZDSYspTiYMCJdwDb8bXa\ned0Vu6bSxmebX47PTLN9NXgJYbCtA47b+s/G08R3PnhHNeeVsIyEz/8FtCNBw4+dNb/v2lPUymc7\n+qLCBij6jen433bkb8Oa7eWyjqS9bYom4lrTTW3k5fi8gW3vIFk/mE6oZVlcBtsqI6F5WzHbliYy\nkv3FCQskh3Pqb8MLPepGQiNtchqU8dGHRu7OEbc5xGOyu7SnWhJsp7vWpu9NMl4r6z/udN7A+i/+\nBoI/8O6P3l7NeeLL2ae8g23UbHNTmyDRNuamNqpw0RcB7iBpacpsL8sD9SnDPtu8Vg0lDOghds5k\nJElmm21dcLw8s60FkpmczSJ7VJbwiXC5QrC9IQNWq/E8eJOv5SWjFbOt8mmWWZOMBMc6yD8YevDn\nayalcXYXCrZh3ykrdGWtqTW0AOWtZCQ64LjcSIZ5Np5eFA985JaDf3Dlf4/uqCcewSnTzPbFFyyP\nm9q0aNeeZbajTW1UTx7WbCvYfqF8qJqTdiPhtXZmux7MbMtYaRMEzEsXSCY12x5hsA0n49JuuEAS\nb8wLHI+PCNUT6GDZvBZgO94zKKzZFp/tyyhxEmnf65F2I+ma7UGSzRn8MleKA5X1vt2H45c/Xt9Q\nvx22/uPzfwk126N2Ixmz9Z9R4NwIMOxG8sXys/Upw2Cb1xoukDTN9jljtk9aIHntX2tVrSsr9ASi\nC4KC7Qbt2uMFkqCfvRgG21wgqWA7KSMJAxU9XXpNcEU6NfCxoTgUbLMbSX3f7eHnUHZxSV+v55DZ\nHv79mK3/WrmR/PLH6nn4ITXPbF9Ku5FsSYEkW/9ZYitm+5HyM9WcOZIUZ8dsD+85NtxE3UiCzHar\nIjTUiirYbhPZjSNvyxfSYJuyHGwno9XejDPbEPnW9LY3LyDYFmZ7TzsSNnMjyTHgndk+Jk/Btg3H\nMpL3XvyHelIzZhtbSKJGOQu2R9zUhjXbKiNpw2w/Xu6uT8kPEtVsN/LZnqKMZIVvX3LRBcm5jfL0\noeGa7fPPbMvN6sIOupEoQ8PMdvoLSD3H92b2vHLxS/DiievTca3qRiJfQPbx5s17acRWna3cSJx5\nHbMbSTavfOfLZz5nKzeSXfh9ec02grwmYDvM9obdSP4ersN3uxcmZcU128kCyfPGbLcokNRoVyA5\nAc02vIDsAsNYSilz7SDJv+3sN8pkmG1ZayMZyS4KqEXbv1CwzWtNl2U3cCNpBLZHXSBpw3nV8He+\nEhsqD7azbiTSP8GZ7SkUSLYB2/o8/HvIuXcqBZJSeHTemG23/oOx0m4kfGM+Wbv24TTEbI8dbAMK\nOblm+/BvOblm+/C/jza1CX910Wjhs91Os71O83j430tTm8uq2d6wM2g9a7qa7SPDjRlsrzuvg3+v\n7+369fNHf1Hvib1afhDnTMtI/snyggWS/LWykWabjh1rtvG3sfXfCWUkg2P/wrufrk+5uJPmbMZs\n22gTdSPBNxx5CG3aEjuVp24krNkOAi7/LI1aUXb8yBVIrmt+MNztJ2e2h38fZA/5wszKDRZ4R9C8\nMddOtCmQpLQyS2u29XodsWZ7zNZ/a1/IV8O87Gfz7/8xtOlbZMH2mAsk90buRtKigyQ7dJy0Xfvg\n71+5/3vVsebPK9jubiTHRWe2K9HC+m8KzHba+i/vRkJpo2a2W1j/jY/ZPhxk/Zd2I+nM9tHhziOz\nPcwLM9t//8Un6mO9VedMM9tZsC0+2/sMthXRngewfTD3bPDngz+dEbM9iMsPPFmf8i8+QmONXkYi\nLMq5Y7bV+k/G0hc+S+O85VKt/+xQJsF2O+u/s5CRDOYM+2xzNNAx697cx4eG5o0abO/rdZhjttM+\n2w62cwx4dyM5Zri0zzau9fdlrLD1nxvqvGp5WBD4ktT1jFxGkrX+QzclFYEj2F7gXn/zxz5fn/JP\nf43GUrDNa+3Mdj2SzHbY8naDh4Yy2wi2kz7b6fbPCmjhzfDSBWP6d/D4alObFj7bWnA3BZ9tB6AY\nuNgL2tRGZCToFxvXbDfw2ebT1YjZXhS4TygAVWYbOzO5M4j9wP8mY7EtYVhGsvOK5SG4fAmOyR0s\nl2vDbLdoarOvbzMqI0GwfcfH6q+CO2GfbV5r2o1kimB7hcy2RCutKGu20Y2kTYRlJABob9rJtmtX\nzXac2YaYjBsJRCuf7YvYrl3A9j6uwV8suhvJkeHGLCMJ652V2f56eVs155K+WCCzGXdUQbD9Yxjv\nLVPQbDOzjTiiEdj+iffV6wnSHSR5rXE3kknKSHIso7JMrtnWhwa+paHVHTHbI5eRSHviXfbZRpYp\n/JBPMttpD3iW82yVzzZ+AZnXx1OfbWUZZ1jQyIWUXNBcz3OwhVNOwWc73EHSCyk/UZ+TXyzCMpLL\nFy0Pv/y/EPTZbmX9R8eOrf8s8bWCch7VbONa33trPQfhXNFdx2vtPtv10E9dsqz4Qx7DfbbVQaBF\nZDeOXMDqsz0Law9ZRoLjRR06wtdv3PpPmNJGzDaDbWK29WWG0kpnto8ZbgrMtoJ8Psp1sF3wS2rc\njWTvkuUx2M75bK+4c8wWgW1taoM3bAHbPx472LbRpmn9pzKSqGbb0uJuJHuzsy+Q9EjLSM7A+m/w\nU9bJSIZ/6yyupSWb2qShVhM3kkbM9gUskCTNtja1WXvghv++u5EcGW6bwDa+4L/57o9Wc17+wZds\nzrSM5LWbLW+fqLHybBBsL7ZIRvJKedmGC8tIHoRT8aVwAx9ea5eR1IN9FJNexuEipLT1Xxuf7XV5\ng79v4Uaybo8MPW/TBZJBgBTfm5gXdyOBaMVsXzqpz/Y10+zhGtav9fDxXL9H9Pq6setw/bG7+vfd\nZ/uYPNzEXoSIutgPfLia893vf9HmTLuRvArUZikMtn8UBdsjtv4Lu5G8XLCTJ75s7eNe/ygcuq+E\nNdu81l4gWQ+2/mvBHmKiWv+xG0kTZlslLnjzE5/tC8psp9u1n71HZCtbyq3y2Q5a/+V9tsOabWa2\nu/XfoTn5nq7WfzgervXtH6yD7e/8YdYpJQ629+wgP90EbDew/gu7kbwUBtsLrPJ+CNLmYWab1xpm\nts36DwfbIE5ZRpLTz6Y/XzM/E9Zs59+XkrPmHqRaIKmabW7tqwWSlBWuJxi7Zltq1eI3obRmO1cg\n6UhlvJrtXiB5TF5cRmKJn/pY/Qf+d9Sx5jXbWCBJkGFRXgwWSC4mUSBpvy2t2VYZyez7kNM12yeK\ncchIiNnOgihPtItkgQWBMnHejcTSNE+YHC2QnKcLJBk14IBBXaz7oluarpWPSYsCSVzrDvZOF7CN\nNstllvbZxtGaaLYbRZLZ9knZ1C+a9/DHZSQEIBiMGS5jgSRBhtfKi8GTtgwXSPq8EPrTuEASqfLw\nV5xS79Ze5nGwzZ8FLJJuJKdAi3ZmuxLKbK/12R7KMXHebKQLJOvn9YL6bO8hYBwxs93KjSQvI6mn\ntNJsX0Cf7bVuJNdMo24kOxNgtnuB5DF5jZjtD7/nRciy5jJxZvvyTZh4gbKej8pIRuxGwmDbftur\neP6Z2d5H6v079ZS0zzavtTPb9WCfbRmrUUvsFu3amSmbQrv2y4002xrBegKeEk9Xiw6SzTTbC6tE\nSmq2L3mv69Hmdc32McOF27XrF9w7n/6ras4Kdax5zfYtmGhgO6nZ3huzZpsLJNclHj4G6QLJy3v4\nNgAmOGmw3apAcqLt2rVAMuf40K5du7mR2LxpsJ1tpiEPq0ts/YcPvuBvK8WPnTVcoqGic5ZSyj5e\nFJrXBmzbeb2o7doJbNucF/CTwJibUIW//JY5ysO0CVkSbONpPYWmNgi2f/iX9TkRgOh9jnkALZAs\npu3+Efw+3UsOtu1ZrceuRYEkA1AkMvcu49sAmOCkCyR5rXhh82NOwDYSMpvEODTbMlazpjbos63W\nf00iu3HkZnXhpNZ/wzkpK7vnNFrpYv2YBOdstNgLWCApYFvbtftaJ8Bsx+PswbaGW/9Z6D3npkcf\nhazncFYLPnTqs43M9nPBk3aZtRqMBilaaLZfUWkF3iL2ldl+EqYMv7nzWsMxb/QQO2XNNjJD0ZbY\nWZbJ3UjGy2znj0n9ZLBmO+xG0qZde5vzkHYjSV6HGrrW3WSBJH+WPPu9dCUxltfdSI7Ja6TZLn8g\nMpKndVJLs9G8gyRChmS79lfGrNkOs72X024kCraBZJ4x22tgltfa27XXgwskg7rYoMlEKcXB9kJl\nJEHNtsfZF0juKthWBixdIBnEPWmJk0ac2W4AtvWg7KJfrLRrV7DtBIi6kYQLJEfcQbIJs50G2zit\nNr8pfyDM9sjbtRd7zr0Y1Gy/2q3/jka6QBLAtjPb4bX2Aske10Yjlctoo43rSo+pxix4hfVrtUeT\neDlsdZYMZvLwRfXGf8mR4JeZFhH+dJReK391aaCsGPV57dGjR48ePXr06NGjR48ePXr06NGjR48e\nPXr06NGjR48ePXr06NGjR48ePXr06NGjR48ePXr06NGjR0fJGRMAAADaSURBVI8ePXr06NGjR48e\nPXr06NGjR48ePXr06NGjR48ePXr06NGjR48ePXr06NGjR48ePXr06NGjR48ePXr06NGjR48ePXr0\n6NGjR48ePXr06NGjR48ePXr06NGjR48ePXr06NGjR48ePXr06NGjR48ePXr06NGjR48ePXr06NGj\nR48ePXr06NGjR48ePXr06NGjR48ePXr06NGjR48ePXr06NGjR48ePXr06NGjR48ePXr06NGjR48e\nPXr06NGjR48ePXr06NGjR48ePXr06NGjR48ePc4q/n/xrnqdrfuT1AAAAABJRU5ErkJggg==\n", | |
"text": [ | |
"<matplotlib.figure.Figure at 0x13a37dd8>" | |
] | |
} | |
], | |
"prompt_number": 9 | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"[Back to top](#Useful-code-snippets)\n", | |
"\n", | |
"---" | |
] | |
}, | |
{ | |
"cell_type": "heading", | |
"level": 3, | |
"metadata": {}, | |
"source": [ | |
"Copy clipboard to a dataframe" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"import pandas as pd\n", | |
"pd.read_clipboard()" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"[Back to top](#Useful-code-snippets)\n", | |
"\n", | |
"---" | |
] | |
}, | |
{ | |
"cell_type": "heading", | |
"level": 3, | |
"metadata": {}, | |
"source": [ | |
"Matplotlib markers ane linestyles" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"import matplotlib.pyplot as plt\n", | |
"%matplotlib inline\n", | |
"from matplotlib.lines import Line2D\n", | |
"import numpy as np\n", | |
"\n", | |
"t = np.arange(0.0, 1.0, 0.1)\n", | |
"s = np.sin(2*np.pi*t)\n", | |
"linestyles = ['_', '-', '--', ':']\n", | |
"markers = []\n", | |
"for m in Line2D.markers:\n", | |
" try:\n", | |
" if len(m) == 1 and m != ' ':\n", | |
" markers.append(m)\n", | |
" except TypeError:\n", | |
" pass\n", | |
"\n", | |
"styles = markers + [\n", | |
" r'$\\lambda$',\n", | |
" r'$\\bowtie$',\n", | |
" r'$\\circlearrowleft$',\n", | |
" r'$\\clubsuit$',\n", | |
" r'$\\checkmark$']\n", | |
"\n", | |
"colors = ('b', 'g', 'r', 'c', 'm', 'y', 'k')\n", | |
"\n", | |
"plt.figure(figsize=(8,8))\n", | |
"\n", | |
"axisNum = 0\n", | |
"for row in range(6):\n", | |
" for col in range(5):\n", | |
" axisNum += 1\n", | |
" ax = plt.subplot(6, 5, axisNum)\n", | |
" color = colors[axisNum % len(colors)]\n", | |
" if axisNum < len(linestyles):\n", | |
" plt.plot(t, s, linestyles[axisNum], color=color, markersize=10)\n", | |
" else:\n", | |
" style = styles[(axisNum - len(linestyles)) % len(styles)]\n", | |
" plt.plot(t, s, linestyle='None', marker=style, color=color, markersize=10)\n", | |
" ax.set_yticklabels([])\n", | |
" ax.set_xticklabels([])\n", | |
"\n", | |
"plt.show()" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"metadata": {}, | |
"output_type": "display_data", | |
"png": 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lFUcrCudc7/QNR835ltMrVmkfWBYxtKRwvkVf4570gVWCVRw1ic254tZ4LPrA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\nBEEQBEEQBEEQBGEn/B8FNv5ntxdWGgAAAABJRU5ErkJggg==\n", | |
"text": [ | |
"<matplotlib.figure.Figure at 0xa5263c8>" | |
] | |
} | |
], | |
"prompt_number": 1 | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"[Back to top](#Useful-code-snippets)\n", | |
"\n", | |
"---" | |
] | |
} | |
], | |
"metadata": {} | |
} | |
] | |
} |
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