Commit 00c2dda5 authored by Inigo Aldazabal's avatar Inigo Aldazabal

Add matplotlib clean notebook

parent f5c62902
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"![Matplotlib](images/matplotlib_logo-s.png)\n",
"\n",
"# Matplotlib"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's take a quick look at the *matplotlib* essentials.\n",
"\n",
"First let's import the neccesary modules and tell the notebook to generate the figures inline:"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The `inline` is important for the notebook, so that plots are displayed\n",
"in the notebook and not in a new window.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now we can use (note that you have to use `show` explicitly if you don't use `%matplotlib inline`):\n",
"\n",
"```\n",
" plt.plot(x,y) # line plot\n",
"```"
]
},
{
"cell_type": "markdown",
"metadata": {
"collapsed": true
},
"source": [
"And now let's go with some examples."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Basic matplotlib visualization"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* **1D plotting**:\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* **2D arrays** (such as images):\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Exercise: Simple visualizations"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* Plot some simple arrays / functions.\n",
"\n",
"* Try using the `gray` colormap.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 1D plot"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"A tangent between 0 and 4$\\pi$.\n",
"\n",
"$$y = \\tan(x), \\; x\\in[0., 4\\pi]$$"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 1D polar plot "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"$\\theta(\\rho) = 2\\pi \\rho, \\; \\rho \\in [0, 2]$"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Exercise"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Plot the function \n",
"\n",
"$$y = \\frac{\\sin(x)}{x}, \\; x\\in[0.1, 6\\pi]$$\n",
"\n",
"and try to \n",
"\n",
"* set the figure *legend*\n",
"* change the *line style*\n",
"\n",
"hint: checkout the [matplotlib examples](http://matplotlib.org/examples/index.html)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# %load files/sol_sinc.py"
]
}
],
"metadata": {
"celltoolbar": "Raw Cell Format",
"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": "3.6.1"
}
},
"nbformat": 4,
"nbformat_minor": 1
}
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