this is for holding javascript data
Antonino Ingargiola deleted folder figures/ph_delays_distrib1
over 9 years ago
Commit id: 53216055676798585819627037603a3a80691167
deletions | additions
diff --git a/figures/ph_delays_distrib1/FRETBursts paper.ipynb b/figures/ph_delays_distrib1/FRETBursts paper.ipynb
deleted file mode 100644
index a3ccec4..0000000
--- a/figures/ph_delays_distrib1/FRETBursts paper.ipynb
+++ /dev/null
...
{
"metadata": {
"name": "",
"signature": "sha256:4a46bf761f0ab6b88cc8809c504b30cd332392f7eadbabd30470c4d4d4a6f671"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": [
"%run load_fretbursts.py --nogui --source"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
" - Optimized (cython) burst search loaded.\n",
" - Optimized (cython) photon counting loaded.\n",
"\n",
"FRETBursts revision:\n",
" 2014-12-05 716ec38 Docs: Fix links in notebook\n"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"\n",
"WARNING -> Uncommitted changes:\n",
" M fretbursts/burst_plot.py\n",
" M \"notebooks/FRETBursts - us-ALEX smFRET burst analysis.ipynb\"\n",
"?? docs/source/load_data.rst\n",
"?? notebooks/FRETBursts - us-ALEX smFRET burst analysis-Copy0.ipynb\n"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"-------------------------------------------------------------\n",
" You are running FRETBursts, a software for smFRET analysis. \n",
"\n",
" If you use this software in a publication, please cite it as:\n",
"\n",
" FRETBursts - An opensource single-molecule FRET burst analysis toolkit.\n",
" A. Ingargiola 2014. https://github.com/tritemio/FRETBursts\n",
"\n",
"-------------------------------------------------------------\n"
]
}
],
"prompt_number": 1
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"url = 'http://files.figshare.com/1643813/0023uLRpitc_NTP_20dT_0.5GndCl.hdf5'\n",
"from fretbursts.utils.misc import download_file\n",
"download_file(url, save_dir='./data')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"URL: http://files.figshare.com/1643813/0023uLRpitc_NTP_20dT_0.5GndCl.hdf5\n",
"File: 0023uLRpitc_NTP_20dT_0.5GndCl.hdf5\n",
" \n",
"File already on disk: C:\\Data\\Antonio\\software\\Dropbox\\notebooks\\frebursts_notebooks\\data/0023uLRpitc_NTP_20dT_0.5GndCl.hdf5 \n",
"Delete it to re-download.\n"
]
}
],
"prompt_number": 2
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"file_name = \"./data/0023uLRpitc_NTP_20dT_0.5GndCl.hdf5\"\n",
"file_name\n"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 7,
"text": [
"'./data/0023uLRpitc_NTP_20dT_0.5GndCl.hdf5'"
]
}
],
"prompt_number": 7
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"d = loader.hdf5(fname=file_name)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 9
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"bpl.plot_alternation_hist(d)\n",
"loader.usalex_apply_period(d)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"#donor: 726562 #acceptor: 1564959 \n",
"\n"
]
},
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 10,
"text": [
"data_0023uLRpitc_NTP_20dT_0.5GndCl G1.000"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAY4AAAEACAYAAACkvpHUAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
"text": [
""
]
}
],
"prompt_number": 10
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"d.calc_bg(bg.exp_fit, time_s=1000, tail_min_us='auto', F_bg=1.7)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
" - Calculating BG rates ... "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"[DONE]\n"
]
}
],
"prompt_number": 14
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import seaborn as sns"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 15
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fs = 13\n",
"rc={'font.size': fs, 'axes.labelsize': fs, 'legend.fontsize': fs, \n",
" 'axes.titlesize': fs*1.1, 'xtick.labelsize': fs, 'ytick.labelsize': fs,\n",
" 'savefig.dpi': 75, #'figure.figsize': (6, 4),\n",
"}\n",
"sns.set(rc=rc)\n",
"sns.set_style('dark')"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 30
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fig, ax = plt.subplots(figsize=(5,4))\n",
"dplot(d, hist_bg_single, tmax=20e-3, ph_sel=Ph_sel(Dex='Aem'), ax=ax)\n",
"plt.xlim(0, 15)\n",
"plt.savefig('ph_delays_distrib.png', dpi=150, bbox_inches='tight')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAWIAAAEuCAYAAAC0xhhtAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nZonYGGMiZonYGGMiZonYGGMi9v8BRyJmGUvk58oAAAAASUVORK5CYII=\n",
"text": [
""
]
}
],
"prompt_number": 31
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}
diff --git a/figures/ph_delays_distrib1/caption.tex b/figures/ph_delays_distrib1/caption.tex
deleted file mode 100644
index 5a5ee32..0000000
--- a/figures/ph_delays_distrib1/caption.tex
+++ /dev/null
...
\textit{Red dots}: Histogram of timestamp waiting times for the donor-excitation/acceptor-emssion stream (\verb|Ph_sel(Dex='Aem')|). \textit{Red line}: Exponentail distribution that fits the tail of the distribution.
diff --git a/figures/ph_delays_distrib1/ph_delays_distrib.png b/figures/ph_delays_distrib1/ph_delays_distrib.png
deleted file mode 100644
index d68106d..0000000
Binary files a/figures/ph_delays_distrib1/ph_delays_distrib.png and /dev/null differ
diff --git a/figures/ph_delays_distrib1/ph_delays_distrib1.png b/figures/ph_delays_distrib1/ph_delays_distrib1.png
deleted file mode 100644
index d68106d..0000000
Binary files a/figures/ph_delays_distrib1/ph_delays_distrib1.png and /dev/null differ
diff --git a/figures/ph_delays_distrib1/size.tex b/figures/ph_delays_distrib1/size.tex
deleted file mode 100644
index ed514c3..0000000
--- a/figures/ph_delays_distrib1/size.tex
+++ /dev/null
...
width=400
