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Add notebook in version 3
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‎silx/io/io.v3.ipynb‎

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‎silx/plot/Plot1DExercise.v3.ipynb‎

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{
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.5.2"
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},
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"name": ""
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},
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"nbformat": 3,
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"nbformat_minor": 0,
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"worksheets": [
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# One curve\n",
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"## plot a simple curve and play with it\n",
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"\n",
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"- $x=[0, pi]$\n",
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"\n",
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"- $y=e^x$\n",
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"\n",
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"- see documentation: http://www.silx.org/doc/silx/dev/modules/gui/plot/plotwindow.html#silx.gui.plot.PlotWindow.Plot1D\n",
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"\n",
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"- see tutorial: http://www.silx.org/doc/silx/dev/modules/gui/plot/getting_started.html\n",
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"\n",
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"- use Plot1D and Plot1D.addCurve\n",
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" - legend is used as the ID of the curve. So if a new curve is setted with an existing id it will erase the first curve\n",
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"\n",
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"![larger-iso-surface-using-silx-plot3d](img/plot_exp.png)\n",
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"\n",
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"play with the interface:\n",
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"- log scale\n",
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"- grid\n",
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"- display points\n",
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"- ..."
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]
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},
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{
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"cell_type": "code",
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"collapsed": true,
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"input": [
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"import numpy\n",
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"from silx.gui.plot import Plot1D\n",
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"%gui qt"
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],
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"language": "python",
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"metadata": {},
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"outputs": [],
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"prompt_number": null
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"import numpy\n",
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"x=numpy.linspace(0, numpy.pi, 1000)\n",
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"y=numpy.exp(x)"
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],
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"language": "python",
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"metadata": {},
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"outputs": [],
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"prompt_number": null
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"..."
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],
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"language": "python",
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"metadata": {},
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"outputs": [],
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"prompt_number": null
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Shift the curve\n",
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"get back the curve and add an offset in y axis\n",
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"\n",
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"- $y=y+100.0$\n",
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"- get all needed data from the 'Plot1D' object\n",
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"- use getCurve([curveID]) function. Return : \n",
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" - x\n",
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" - y\n",
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" - legend\n",
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" - info (if some informations has been added)\n",
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" - params (color, linewidth...)\n",
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"\n",
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"![shift exponential](img/plot1D_shiftCurveExp.png)"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"..."
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],
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"language": "python",
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"metadata": {},
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"outputs": [],
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"prompt_number": null
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},
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{
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"cell_type": "heading",
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"level": 1,
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"metadata": {},
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"source": [
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"Many curves"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## plot the following functionin the same plot window\n",
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"- $y=sin(x)$\n",
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"\n",
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"- $y=cos(x)$\n",
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"\n",
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"- $y=x $\n",
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"\n",
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"- play with the curve selection from options->legend\n",
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"\n",
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"![plot_legends](img/plot_curves_legend.png)"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"..."
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],
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"language": "python",
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"metadata": {},
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"outputs": [],
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"prompt_number": null
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## remove one curve by the id\n",
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"\n",
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"- using the 'Plot1D' function 'remove([curveID])'"
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]
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},
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{
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"cell_type": "code",
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"collapsed": true,
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"input": [
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"..."
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],
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"language": "python",
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"metadata": {},
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"outputs": [],
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"prompt_number": null
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## shift curves by 30 in the x axis \n",
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"- by using the functions of the 'Plot1D' object\n",
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" - getAllCurves\n",
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" - addCurve\n",
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"- keep at least the color of the curve\n",
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"- Result should be close to\n",
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"\n",
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"![plot1D_shiftcurves](img/plot1D_shiftCurves.png)"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"..."
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],
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"language": "python",
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"metadata": {},
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"outputs": [],
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"prompt_number": null
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# ROI\n"
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]
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},
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{
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"cell_type": "heading",
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"level": 2,
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"metadata": {},
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"source": [
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"load data from data/spectrum.dat"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"import silx.io\n",
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"sf = silx.io.open(\"data/spectrum.dat\")\n",
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"x_data=sf['1.1/measurement/channel']\n",
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"y_data=sf['1.1/measurement/counts']"
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],
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"language": "python",
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"metadata": {},
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"outputs": [],
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"prompt_number": null
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},
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{
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"cell_type": "heading",
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"level": 2,
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"metadata": {},
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"source": [
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"Plot the data"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"plot=Plot1D()\n",
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"x=numpy.linspace(0.0, numpy.pi)\n",
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"y=numpy.sin(x)\n",
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"plot.addCurve(x_data, y_data)\n",
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"plot.setYAxisLogarithmic(True)\n",
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"plot.show()"
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],
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"language": "python",
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"metadata": {},
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"outputs": [],
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"prompt_number": null
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"options -> ROI -> add ROI -> select min and max limits.\n",
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"estimate integral between lower and upper limits\n",
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" - Raw counts\n",
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"![raw_counts](img/plot_ROI_raw_counts.png)\n",
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" - Net counts\n",
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"![raw_counts](img/plot_ROI_net_counts.png)"
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]
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},
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{
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"cell_type": "code",
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"collapsed": true,
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"input": [],
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"language": "python",
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"metadata": {},
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"outputs": [],
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"prompt_number": null
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}
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],
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"metadata": {}
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}
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]
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}

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