Created
December 27, 2015 07:02
-
-
Save fperez/0ce1499827004d8a2931 to your computer and use it in GitHub Desktop.
SimplePlot
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
{ | |
"cells": [ | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"# A Simple Jupyter Notebook\n", | |
"\n", | |
"Let's plot a simple function:\n", | |
"\n", | |
"$$ y = \\sin(x) + \\cos(x^2) $$" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 1, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"Populating the interactive namespace from numpy and matplotlib\n" | |
] | |
}, | |
{ | |
"data": { | |
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAXwAAAEACAYAAACwB81wAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nwTcMw6gQTPANwzAqhP8P2/L90IGavUkAAAAASUVORK5CYII=\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x10424d588>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"%pylab inline\n", | |
"x = linspace(0, 2*pi, 200)\n", | |
"y = sin(x) + cos(x**2)\n", | |
"plot(x, y);" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "IPython (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": "3.5.1" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 0 | |
} |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment