ipynb_to_docx.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is not part of the book, this is a editing tool that is used to create markdownfiles for the jupyter noteboks and then convert them to Microsoft Word in order to use Word and Grammerly to do editing "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pathlib import Path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[WindowsPath('intro.ipynb'),\n",
       " WindowsPath('ipynb_to_docx.ipynb'),\n",
       " WindowsPath('needed_libraries.ipynb'),\n",
       " WindowsPath('AC_2/AC_1.ipynb'),\n",
       " WindowsPath('AC_2/AC_1_One-Two-Three_Phase_AC.ipynb'),\n",
       " WindowsPath('AC_2/AC_2_RCL_filters.ipynb'),\n",
       " WindowsPath('AC_2/AC_3_CoupledMag.ipynb'),\n",
       " WindowsPath('AC_2/AC_4_PZ.ipynb'),\n",
       " WindowsPath('AC_2/AC_5_twoports.ipynb'),\n",
       " WindowsPath('AC_2/AC_6_S_transmissionlines.ipynb'),\n",
       " WindowsPath('Appendix/skidl_2_pyspice_check.ipynb'),\n",
       " WindowsPath('DC_1/DC_1.ipynb'),\n",
       " WindowsPath('DC_1/DC_1_op_ohm.ipynb'),\n",
       " WindowsPath('DC_1/DC_2_op_source_transform.ipynb'),\n",
       " WindowsPath('DC_1/DC_3_PracticalSourcs_sweeps_subcirucirts.ipynb'),\n",
       " WindowsPath('DC_1/DC_4_dependent_sources_and_tf.ipynb'),\n",
       " WindowsPath('DC_1/DC_5_Thvenin_Norton.ipynb'),\n",
       " WindowsPath('DC_1/DC_6_DC_MaxPower_MaxEfficiency.ipynb'),\n",
       " WindowsPath('Diodes_7/Diodes_1_Chartiztion.ipynb'),\n",
       " WindowsPath('Diodes_7/Diodes_2_Clipers.ipynb'),\n",
       " WindowsPath(\"Sensitivity_5/Sensitivity_1_ngspice's.ipynb\"),\n",
       " WindowsPath('Sensitivity_5/Sensitivity_2_with_Python.ipynb')]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "path=Path('.')\n",
    "notebooks=[]\n",
    "for p in path.rglob(\"*.ipynb\"):\n",
    "    if '_build' in str(p.absolute()):\n",
    "        continue\n",
    "    \n",
    "    elif 'ipynb_checkpoints' in str(p.absolute()):\n",
    "        continue\n",
    "    else:\n",
    "        notebooks.append(p)\n",
    "notebooks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "WindowsPath('needed_libraries.ipynb')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "notebooks[2].relative_to(notebooks[2].parent.parent)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./intro.ipynb\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[NbConvertApp] Converting notebook ./intro.ipynb to notebook\n",
      "[NbConvertApp] Writing 15588 bytes to .\\intro.ipynb\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./ipynb_to_docx.ipynb\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[NbConvertApp] Converting notebook ./ipynb_to_docx.ipynb to notebook\n",
      "[NbConvertApp] Writing 15377 bytes to .\\ipynb_to_docx.ipynb\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./needed_libraries.ipynb\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[NbConvertApp] Converting notebook ./needed_libraries.ipynb to notebook\n",
      "[NbConvertApp] Writing 7080 bytes to .\\needed_libraries.ipynb\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./AC_2\\AC_1.ipynb\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[NbConvertApp] Converting notebook ./AC_2\\AC_1.ipynb to notebook\n",
      "[NbConvertApp] Writing 686 bytes to ./AC_2\\AC_1.ipynb\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./AC_2\\AC_1_One-Two-Three_Phase_AC.ipynb\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[NbConvertApp] Converting notebook ./AC_2\\AC_1_One-Two-Three_Phase_AC.ipynb to notebook\n",
      "[NbConvertApp] Writing 1400290 bytes to ./AC_2\\AC_1_One-Two-Three_Phase_AC.ipynb\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./AC_2\\AC_2_RCL_filters.ipynb\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[NbConvertApp] Converting notebook ./AC_2\\AC_2_RCL_filters.ipynb to notebook\n",
      "[NbConvertApp] Writing 1809883 bytes to ./AC_2\\AC_2_RCL_filters.ipynb\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./AC_2\\AC_3_CoupledMag.ipynb\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[NbConvertApp] Converting notebook ./AC_2\\AC_3_CoupledMag.ipynb to notebook\n",
      "[NbConvertApp] Writing 1393 bytes to ./AC_2\\AC_3_CoupledMag.ipynb\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./AC_2\\AC_4_PZ.ipynb\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[NbConvertApp] Converting notebook ./AC_2\\AC_4_PZ.ipynb to notebook\n",
      "[NbConvertApp] Writing 794471 bytes to ./AC_2\\AC_4_PZ.ipynb\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./AC_2\\AC_5_twoports.ipynb\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[NbConvertApp] Converting notebook ./AC_2\\AC_5_twoports.ipynb to notebook\n",
      "[NbConvertApp] Writing 1393 bytes to ./AC_2\\AC_5_twoports.ipynb\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./AC_2\\AC_6_S_transmissionlines.ipynb\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[NbConvertApp] Converting notebook ./AC_2\\AC_6_S_transmissionlines.ipynb to notebook\n",
      "[NbConvertApp] Writing 1393 bytes to ./AC_2\\AC_6_S_transmissionlines.ipynb\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./Appendix\\skidl_2_pyspice_check.ipynb\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[NbConvertApp] Converting notebook ./Appendix\\skidl_2_pyspice_check.ipynb to notebook\n",
      "[NbConvertApp] Writing 56416 bytes to ./Appendix\\skidl_2_pyspice_check.ipynb\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./DC_1\\DC_1.ipynb\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[WARNING] Duplicate identifier 'Notes' at input line 13334 column 68\n",
      "[WARNING] Duplicate identifier 'Notes' at input line 13479 column 68\n",
      "[WARNING] Duplicate identifier 'Notes' at input line 13609 column 68\n",
      "[WARNING] Duplicate identifier 'Notes' at input line 13739 column 68\n",
      "[WARNING] Duplicate identifier 'Notes' at input line 13872 column 68\n",
      "[WARNING] Duplicate identifier 'Notes' at input line 14002 column 68\n",
      "[WARNING] Duplicate identifier 'Notes' at input line 14135 column 68\n",
      "[WARNING] Duplicate identifier 'Notes' at input line 14280 column 68\n",
      "[WARNING] Duplicate identifier 'Notes' at input line 14426 column 68\n",
      "[WARNING] Duplicate identifier 'Notes' at input line 14556 column 68\n",
      "[WARNING] Duplicate identifier 'Notes' at input line 14722 column 68\n",
      "[WARNING] Duplicate identifier 'Notes' at input line 14870 column 68\n",
      "[WARNING] Duplicate identifier 'Notes' at input line 15024 column 68\n",
      "[WARNING] Duplicate identifier 'Notes' at input line 15189 column 68\n",
      "[WARNING] Duplicate identifier 'Notes' at input line 15418 column 68\n",
      "[WARNING] Duplicate identifier 'Notes' at input line 15563 column 68\n",
      "[WARNING] Duplicate identifier 'Notes' at input line 15707 column 68\n",
      "[WARNING] Duplicate identifier 'Notes' at input line 15958 column 68\n",
      "[WARNING] Duplicate identifier 'Notes' at input line 16100 column 68\n",
      "[NbConvertApp] Converting notebook ./DC_1\\DC_1.ipynb to notebook\n",
      "[NbConvertApp] Writing 843 bytes to ./DC_1\\DC_1.ipynb\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./DC_1\\DC_1_op_ohm.ipynb\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[NbConvertApp] Converting notebook ./DC_1\\DC_1_op_ohm.ipynb to notebook\n",
      "[NbConvertApp] Writing 70780 bytes to ./DC_1\\DC_1_op_ohm.ipynb\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./DC_1\\DC_2_op_source_transform.ipynb\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[NbConvertApp] Converting notebook ./DC_1\\DC_2_op_source_transform.ipynb to notebook\n",
      "[NbConvertApp] Writing 28575 bytes to ./DC_1\\DC_2_op_source_transform.ipynb\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./DC_1\\DC_3_PracticalSourcs_sweeps_subcirucirts.ipynb\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[NbConvertApp] Converting notebook ./DC_1\\DC_3_PracticalSourcs_sweeps_subcirucirts.ipynb to notebook\n",
      "[NbConvertApp] Writing 272300 bytes to ./DC_1\\DC_3_PracticalSourcs_sweeps_subcirucirts.ipynb\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./DC_1\\DC_4_dependent_sources_and_tf.ipynb\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[NbConvertApp] Converting notebook ./DC_1\\DC_4_dependent_sources_and_tf.ipynb to notebook\n",
      "[NbConvertApp] Writing 304832 bytes to ./DC_1\\DC_4_dependent_sources_and_tf.ipynb\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./DC_1\\DC_5_Thvenin_Norton.ipynb\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[NbConvertApp] Converting notebook ./DC_1\\DC_5_Thvenin_Norton.ipynb to notebook\n",
      "[NbConvertApp] Writing 366477 bytes to ./DC_1\\DC_5_Thvenin_Norton.ipynb\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./DC_1\\DC_6_DC_MaxPower_MaxEfficiency.ipynb\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[NbConvertApp] Converting notebook ./DC_1\\DC_6_DC_MaxPower_MaxEfficiency.ipynb to notebook\n",
      "[NbConvertApp] Writing 195834 bytes to ./DC_1\\DC_6_DC_MaxPower_MaxEfficiency.ipynb\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./Diodes_7\\Diodes_1_Chartiztion.ipynb\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[NbConvertApp] Converting notebook ./Diodes_7\\Diodes_1_Chartiztion.ipynb to notebook\n",
      "[NbConvertApp] Writing 1396 bytes to ./Diodes_7\\Diodes_1_Chartiztion.ipynb\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./Diodes_7\\Diodes_2_Clipers.ipynb\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[NbConvertApp] Converting notebook ./Diodes_7\\Diodes_2_Clipers.ipynb to notebook\n",
      "[NbConvertApp] Writing 17259 bytes to ./Diodes_7\\Diodes_2_Clipers.ipynb\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./Sensitivity_5\\Sensitivity_1_ngspice's.ipynb\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[NbConvertApp] Converting notebook ./Sensitivity_5\\Sensitivity_1_ngspice's.ipynb to notebook\n",
      "[NbConvertApp] Writing 22753 bytes to ./Sensitivity_5\\Sensitivity_1_ngspice's.ipynb\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./Sensitivity_5\\Sensitivity_2_with_Python.ipynb\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[NbConvertApp] Converting notebook ./Sensitivity_5\\Sensitivity_2_with_Python.ipynb to notebook\n",
      "[NbConvertApp] Writing 1393 bytes to ./Sensitivity_5\\Sensitivity_2_with_Python.ipynb\n"
     ]
    }
   ],
   "source": [
    "for nb in notebooks:\n",
    "    #base=str(nb.absolute())\n",
    "    ipynb='./'+str(nb.relative_to(nb.parent.parent))\n",
    "    base=ipynb[:-6]\n",
    "    html=base+'.html'\n",
    "    docx=base+'.docx'\n",
    "    print(ipynb)\n",
    "    \n",
    "    #uncommment to use\n",
    "    #!jupyter nbconvert --to html {ipynb}\n",
    "    \n",
    "    #testing these but these have yet to yield what I want\n",
    "    #!jupyter nbconvert --clear-output --to html {ipynb}\n",
    "    #!jupyter nbconvert --TagRemovePreprocessor.enabled=True --TagRemovePreprocessor.remove_cell_tags=\"['remove_output']\" --to html {ipynb}\n",
    "    \n",
    "    #!pandoc -s {html} -o {docx}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# note to self to work building book and github page\n",
    "build book:\n",
    "be looking at this folder not in it \n",
    "```\n",
    "jupyter-book build Python-and-SPICE-Book/\n",
    "```\n",
    "\n",
    "\n",
    "build book site:\n",
    "be inside the top repo\n",
    "```\n",
    "ghp-import -n -p -c https://pylcars.github.io/Python-and-SPICE-Book/docs -f _build/html\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "language": "python",
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   "hotkeys": {
    "equation": "Ctrl-E",
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  "toc": {
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   "title_cell": "Table of Contents",
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