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@Jessime
Created May 17, 2017 02:17
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Template for monthly notebooks
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"toc": "true"
},
"source": [
"# Table of Contents\n",
" <p><div class=\"lev1 toc-item\"><a href=\"#Watermark\" data-toc-modified-id=\"Watermark-1\"><span class=\"toc-item-num\">1&nbsp;&nbsp;</span>Watermark</a></div><div class=\"lev1 toc-item\"><a href=\"#Imports-and-Setups\" data-toc-modified-id=\"Imports-and-Setups-2\"><span class=\"toc-item-num\">2&nbsp;&nbsp;</span>Imports and Setups</a></div><div class=\"lev3 toc-item\"><a href=\"#Autoimport-my-code\" data-toc-modified-id=\"Autoimport-my-code-201\"><span class=\"toc-item-num\">2.0.1&nbsp;&nbsp;</span>Autoimport my code</a></div><div class=\"lev3 toc-item\"><a href=\"#Plotting\" data-toc-modified-id=\"Plotting-202\"><span class=\"toc-item-num\">2.0.2&nbsp;&nbsp;</span>Plotting</a></div>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Watermark"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The watermark extension is already loaded. To reload it, use:\n",
" %reload_ext watermark\n",
"Jessime Kirk Mon Oct 31 2016 \n",
"\n",
"CPython 2.7.12\n",
"IPython 5.1.0\n",
"\n",
"numpy 1.11.1\n",
"scipy 0.18.1\n",
"pandas 0.18.1\n",
"scikit-learn 0.17.1\n",
"matplotlib 1.5.3\n",
"seaborn 0.7.1\n",
"networkx 1.11\n",
"notebook 4.2.3\n",
"jupyter_contrib_nbextensions 0.2.1\n",
"\n",
"compiler : GCC 4.4.7 20120313 (Red Hat 4.4.7-1)\n",
"system : Linux\n",
"release : 4.4.8-040408-generic\n",
"machine : x86_64\n",
"processor : x86_64\n",
"CPU cores : 4\n",
"interpreter: 64bit\n"
]
}
],
"source": [
"%load_ext watermark\n",
"%watermark -a 'Jessime Kirk' -nmv --packages numpy,scipy,pandas,scikit-learn,matplotlib,seaborn,networkx,notebook,jupyter_contrib_nbextensions"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Imports and Setups"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"import cPickle\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"import networkx as nx\n",
"\n",
"from tqdm import tqdm, trange, tqdm_notebook, tnrange"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Autoimport my code"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"u'/home/jessime/Code/kmers/Notebooks'"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pwd"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/home/jessime/Code/kmers\n"
]
}
],
"source": [
"cd .."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"%load_ext autoreload"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"autoreload 2"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Plotting"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"%matplotlib inline\n",
"plt.style.use(\"seaborn-whitegrid\")\n",
"plt.rcParams['figure.figsize'] = [6.0, 4.0]\n",
"plt.rcParams['axes.titlesize'] = 20\n",
"plt.rcParams['axes.labelsize'] = 18\n",
"plt.rcParams['xtick.labelsize'] = 14\n",
"plt.rcParams['ytick.labelsize'] = 14\n",
"plt.rcParams['legend.fontsize'] = 14\n",
"colors = [i['color'] for i in plt.rcParams['axes.prop_cycle']]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"anaconda-cloud": {},
"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"
},
"nav_menu": {},
"toc": {
"nav_menu": {
"height": "84px",
"width": "252px"
},
"navigate_menu": true,
"number_sections": true,
"sideBar": true,
"threshold": 6,
"toc_cell": true,
"toc_section_display": "block",
"toc_window_display": true
}
},
"nbformat": 4,
"nbformat_minor": 0
}
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