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sci_python
Commit 3ea76517 authored by Inigo Aldazabal Mensa (@X1)'s avatar Inigo Aldazabal Mensa (@X1)
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Add code cells placeholders

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scipy-tutorial-clean.ipynb
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...@@ -18,6 +18,15 @@ ...@@ -18,6 +18,15 @@
"First let's import the neccesary modules:" "First let's import the neccesary modules:"
] ]
}, },
{
"cell_type": "code",
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{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": { "metadata": {
...@@ -43,6 +52,15 @@ ...@@ -43,6 +52,15 @@
"$$y = \\tan(x), \\; x\\in[0., 4\\pi]$$" "$$y = \\tan(x), \\; x\\in[0., 4\\pi]$$"
] ]
}, },
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
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{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
...@@ -57,6 +75,15 @@ ...@@ -57,6 +75,15 @@
"$\\theta(\\rho) = 2\\pi \\rho, \\; \\rho \\in [0, 2]$" "$\\theta(\\rho) = 2\\pi \\rho, \\; \\rho \\in [0, 2]$"
] ]
}, },
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": []
},
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
...@@ -82,7 +109,7 @@ ...@@ -82,7 +109,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 4, "execution_count": 1,
"metadata": { "metadata": {
"collapsed": false "collapsed": false
}, },
...@@ -122,7 +149,7 @@ ...@@ -122,7 +149,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 5, "execution_count": 2,
"metadata": { "metadata": {
"collapsed": false "collapsed": false
}, },
...@@ -151,6 +178,15 @@ ...@@ -151,6 +178,15 @@
"* Then try using for your real problem." "* Then try using for your real problem."
] ]
}, },
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
},
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
...@@ -171,6 +207,15 @@ ...@@ -171,6 +207,15 @@
"* Define the function" "* Define the function"
] ]
}, },
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
},
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
...@@ -178,6 +223,15 @@ ...@@ -178,6 +223,15 @@
"* randomize data" "* randomize data"
] ]
}, },
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": []
},
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
...@@ -185,6 +239,15 @@ ...@@ -185,6 +239,15 @@
"* plot" "* plot"
] ]
}, },
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": []
},
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
...@@ -192,6 +255,15 @@ ...@@ -192,6 +255,15 @@
"* Look for fit scipy module and fit" "* Look for fit scipy module and fit"
] ]
}, },
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": []
},
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
...@@ -199,6 +271,15 @@ ...@@ -199,6 +271,15 @@
"* plot result" "* plot result"
] ]
}, },
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": []
},
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
...@@ -219,7 +300,7 @@ ...@@ -219,7 +300,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 12, "execution_count": 3,
"metadata": { "metadata": {
"collapsed": false, "collapsed": false,
"scrolled": true "scrolled": true
...@@ -231,7 +312,7 @@ ...@@ -231,7 +312,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 13, "execution_count": 4,
"metadata": { "metadata": {
"collapsed": false "collapsed": false
}, },
...@@ -272,6 +353,33 @@ ...@@ -272,6 +353,33 @@
"A quick web search point us to the `urllib` python module and to a very simple retrival procedure." "A quick web search point us to the `urllib` python module and to a very simple retrival procedure."
] ]
}, },
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": []
},
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
...@@ -281,6 +389,33 @@ ...@@ -281,6 +389,33 @@
"Let's take a look at the [SciPy Fast Fourier Transform module manual](http://docs.scipy.org/doc/scipy/reference/tutorial/fftpack.html), and straight from there...\n" "Let's take a look at the [SciPy Fast Fourier Transform module manual](http://docs.scipy.org/doc/scipy/reference/tutorial/fftpack.html), and straight from there...\n"
] ]
}, },
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": []
},
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
...@@ -288,6 +423,24 @@ ...@@ -288,6 +423,24 @@
"In order to construct a periodogram, i.e. a graph of power vs. frequency, we first compute the power of the FFT signal which is simply the **FFT signal squared**. We only need the part of the signal ranging from zero to a frequency equal to the Nyquist frequency, which is equal to half the maximum frequency, since frequencies above the Nyquist frequency correspond to negative frequencies. The frequency range is calculated from 0-N/2 as N/(2T) where N is the number of samples and T is the sampling time." "In order to construct a periodogram, i.e. a graph of power vs. frequency, we first compute the power of the FFT signal which is simply the **FFT signal squared**. We only need the part of the signal ranging from zero to a frequency equal to the Nyquist frequency, which is equal to half the maximum frequency, since frequencies above the Nyquist frequency correspond to negative frequencies. The frequency range is calculated from 0-N/2 as N/(2T) where N is the number of samples and T is the sampling time."
] ]
}, },
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": []
},
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
...@@ -295,6 +448,24 @@ ...@@ -295,6 +448,24 @@
"Which in years becomes" "Which in years becomes"
] ]
}, },
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
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"outputs": [],
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},
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
...@@ -302,6 +473,15 @@ ...@@ -302,6 +473,15 @@
"### Solar spots period" "### Solar spots period"
] ]
}, },
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": []
},
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
...@@ -316,6 +496,24 @@ ...@@ -316,6 +496,24 @@
"After doing the exercise, while looking for information, I found that scipy allows us to directly compute the periodgram with [`scipy.signal.periodgram`](http://scipy.github.io/devdocs/generated/scipy.signal.periodogram.html)" "After doing the exercise, while looking for information, I found that scipy allows us to directly compute the periodgram with [`scipy.signal.periodgram`](http://scipy.github.io/devdocs/generated/scipy.signal.periodogram.html)"
] ]
}, },
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
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{
"cell_type": "code",
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{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
......
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