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v1.0

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rskoupy
2024-12-20 12:45:27 +01:00
parent 757706943f
commit 586b499c8b
2 changed files with 13 additions and 51 deletions
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41
ptychoScopy_v1.0.ipynb → .ipynb_checkpoints/ptychoScopy-checkpoint.ipynb
View File

@ -38,32 +38,6 @@
"Skoupy R., Mueller E., Pennycook T., Guizar-Sicairos M., Fabbri E., Poghosyan E. ptychoScopy: Users Guide for Optimal Acquisition Design with Electron Ptychography, xxxx, xx, [DOI](https://doi.org)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "14cb064d-a91a-4d44-954f-c7ff36435786",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"3.10.13 | packaged by Anaconda, Inc. | (main, Sep 11 2023, 13:24:38) [MSC v.1916 64 bit (AMD64)]\n",
"Openpyxl version 3.1.5\n",
"Numpy version 1.26.2\n",
"Scipy version 1.10.1\n",
"Plotly version 5.18.0\n",
"Pandas version 2.1.4\n",
"IPython version 8.15.0\n",
"Ipywidgets version 8.0.4\n",
"abTEM version 1.0.6\n"
]
}
],
"source": [
"pty.get_versions() # run before \"display(ptychoscopy)\" field"
]
},
{
"cell_type": "code",
"execution_count": 2,
@ -79,7 +53,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "aac473c7796d44cea247b93ae124a142",
"model_id": "6f68906dad084c0ba37e2488c9eec7b6",
"version_major": 2,
"version_minor": 0
},
@ -108,16 +82,7 @@
"execution_count": 1,
"id": "fecbecdb-0fac-4ac8-a2b3-1ccb3f869a77",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\skoupy_r\\AppData\\Local\\anaconda3\\envs\\all\\lib\\site-packages\\pandas\\core\\computation\\expressions.py:21: UserWarning: Pandas requires version '2.8.0' or newer of 'numexpr' (version '2.7.3' currently installed).\n",
" from pandas.core.computation.check import NUMEXPR_INSTALLED\n"
]
}
],
"outputs": [],
"source": [
"### Initial packages import\n",
"import io\n",
@ -764,7 +729,7 @@
" check_descr_width = '120px'\n",
" check1_ssb = widg.Valid(value= bool(step_size_corr*10 < dRssb), description='Real-space sampling', layout=widg.Layout(width=check_width), style = {'description_width': check_descr_width}, disabled=True)\n",
" check2_ssb = widg.Valid(value= bool(1 < covered_alfas) , description='Detector coverage', layout=widg.Layout(width=check_width), style = {'description_width': check_descr_width}, disabled=True)\n",
" check3_ssb = widg.Valid(value= bool(3 < beam_diameter_pix) , description='Minimal BF size', layout=widg.Layout(width=check_width), style = {'description_width': check_descr_width}, disabled=True)\n",
" check3_ssb = widg.Valid(value= bool(4 < beam_diameter_pix) , description='Minimal BF size', layout=widg.Layout(width=check_width), style = {'description_width': check_descr_width}, disabled=True)\n",
" checks_ssb = widg.VBox([check1_ssb, check2_ssb,check3_ssb]) # Label('Final checks')\n",
" checks_ssb.layout = widg.Layout(margin='100px 0px 0px 30px', padding='0px 0px 0px 0px', border='solid 0px gray') # border='dashed 1px gray'\n",
" right = widg.VBox([go.FigureWidget(fig1), widg.HBox([go.FigureWidget(fig4), checks_ssb]) ])\n",

23
.ipynb_checkpoints/ptychoScopy_v1.0-checkpoint.ipynb → ptychoScopy.ipynb
View File

@ -3,7 +3,13 @@
{
"cell_type": "markdown",
"id": "cfe429ad-a3da-4b34-a78d-2828fcfe5f49",
"metadata": {},
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"source": [
"<img src=\"ptychoscopy/logo.png\" style=\"height:180px\">"
]
@ -53,7 +59,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "aac473c7796d44cea247b93ae124a142",
"model_id": "6f68906dad084c0ba37e2488c9eec7b6",
"version_major": 2,
"version_minor": 0
},
@ -82,16 +88,7 @@
"execution_count": 1,
"id": "fecbecdb-0fac-4ac8-a2b3-1ccb3f869a77",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\skoupy_r\\AppData\\Local\\anaconda3\\envs\\all\\lib\\site-packages\\pandas\\core\\computation\\expressions.py:21: UserWarning: Pandas requires version '2.8.0' or newer of 'numexpr' (version '2.7.3' currently installed).\n",
" from pandas.core.computation.check import NUMEXPR_INSTALLED\n"
]
}
],
"outputs": [],
"source": [
"### Initial packages import\n",
"import io\n",
@ -738,7 +735,7 @@
" check_descr_width = '120px'\n",
" check1_ssb = widg.Valid(value= bool(step_size_corr*10 < dRssb), description='Real-space sampling', layout=widg.Layout(width=check_width), style = {'description_width': check_descr_width}, disabled=True)\n",
" check2_ssb = widg.Valid(value= bool(1 < covered_alfas) , description='Detector coverage', layout=widg.Layout(width=check_width), style = {'description_width': check_descr_width}, disabled=True)\n",
" check3_ssb = widg.Valid(value= bool(3 < beam_diameter_pix) , description='Minimal BF size', layout=widg.Layout(width=check_width), style = {'description_width': check_descr_width}, disabled=True)\n",
" check3_ssb = widg.Valid(value= bool(4 < beam_diameter_pix) , description='Minimal BF size', layout=widg.Layout(width=check_width), style = {'description_width': check_descr_width}, disabled=True)\n",
" checks_ssb = widg.VBox([check1_ssb, check2_ssb,check3_ssb]) # Label('Final checks')\n",
" checks_ssb.layout = widg.Layout(margin='100px 0px 0px 30px', padding='0px 0px 0px 0px', border='solid 0px gray') # border='dashed 1px gray'\n",
" right = widg.VBox([go.FigureWidget(fig1), widg.HBox([go.FigureWidget(fig4), checks_ssb]) ])\n",