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Commit fab894bf authored by Inigo Aldazabal's avatar Inigo Aldazabal
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Refresh and remove matplotlib from clean

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scipy-tutorial-clean.ipynb
View file @ fab894bf
{
"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:"
]
},
{
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"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
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},
{
"cell_type": "markdown",
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"source": [
"And now let's go with some examples."
]
},
{
"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": false
},
"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": false
},
"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": 1,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"# %load files/sol_sinc.py"
]
},
{
"cell_type": "markdown",
"metadata": {},
......@@ -149,10 +31,8 @@
},
{
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......@@ -224,9 +104,7 @@
{
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"collapsed": false
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......@@ -240,9 +118,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
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......@@ -256,9 +132,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
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"metadata": {},
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......@@ -272,9 +146,7 @@
{
"cell_type": "code",
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"metadata": {
"collapsed": false
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"source": []
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......@@ -298,9 +170,8 @@
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": null,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [],
......@@ -310,10 +181,8 @@
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"#help(integrate)"
......@@ -354,27 +223,21 @@
{
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"execution_count": null,
"metadata": {
"collapsed": false
},
"metadata": {},
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{
"cell_type": "code",
"execution_count": null,
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"metadata": {},
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......@@ -399,18 +262,14 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
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"metadata": {},
"outputs": [],
"source": []
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{
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......@@ -424,18 +283,14 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
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"metadata": {},
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{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
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"metadata": {},
"outputs": [],
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......@@ -449,18 +304,14 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
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......@@ -474,9 +325,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": []
},
......@@ -484,7 +333,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"###Scipy direct method"
"## Scipy direct method"
]
},
{
......@@ -497,18 +346,14 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
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"metadata": {},
"outputs": [],
"source": []
},
......@@ -549,9 +394,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.0"
"version": "3.6.1"
}
},
"nbformat": 4,
"nbformat_minor": 0
"nbformat_minor": 1
}
scipy-tutorial.ipynb
View file @ fab894bf
......@@ -32,9 +32,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"import scipy as sp"
......@@ -116,9 +114,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"ndata = 50\n",
......@@ -137,9 +133,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"plt.plot(tdata, data_pure)\n",
......@@ -156,9 +150,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"from scipy.optimize import curve_fit\n",
......@@ -180,9 +172,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"plt.plot(tdata, data_pure)\n",
......@@ -214,7 +204,6 @@
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [],
......@@ -268,9 +257,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"import urllib\n",
......@@ -282,9 +269,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"years = solarspots[:,0]\n",
......@@ -294,9 +279,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"plt.figure(figsize=(10,6))\n",
......@@ -335,9 +318,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"spots_fft = fft(spots)"
......@@ -346,9 +327,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"plt.scatter(spots_fft.real, spots_fft.imag)\n",
......@@ -369,9 +348,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"N = spots_fft.size\n",
......@@ -386,9 +363,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"plt.plot(freq, power)\n",
......@@ -408,9 +383,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"period = 1./freq"
......@@ -419,9 +392,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"plt.plot(period, power)\n",
......@@ -443,9 +414,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"max_power_index = np.argmax(power)\n",
......@@ -470,9 +439,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"from scipy import signal\n",
......@@ -485,9 +452,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"max_power_index = np.argmax(Pxx_spectrum)\n",
......@@ -532,9 +497,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.0"
"version": "3.6.1"
}
},
"nbformat": 4,
"nbformat_minor": 0
"nbformat_minor": 1
}
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