Repository: pyenergyplus/eppy3000 (language: python)

Issue:
use json2html as a viewer for EPJ.
json2html is located at https://pypi.org/project/json2html/



Discussion / hints:

Fix patch:
diff --git a/HISTORY.rst b/HISTORY.rst
index 61d7952..1e60845 100644
--- a/HISTORY.rst
+++ b/HISTORY.rst
@@ -5,6 +5,14 @@ History
 Releases
 --------
 
+Date: Mon Jan 18 21:53:40 PST 2021
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+fixed issue #73
+
+:Problem: Would be nice to have an html viewer for epj
+:Solution: pytested eppy3000.epjviewer with sphinx user documentation
+
 Date: Tue Jan 12 14:18:37 PST 2021
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
@@ -26,7 +34,7 @@ Fixed issue #48
 :Problem: No Tutorial for eppy3000
 :Solution: tutorial for eppy3000
 
-+ This tutorial is based on eppy turorial
++ This tutorial is based on eppy tutorial
 + Identifies the gaps in the eppy3000 tagged by TODO in the tutorial
 + open issues on these TODOs and resolve
 
diff --git a/docs/epjviewer.ipynb b/docs/epjviewer.ipynb
new file mode 100644
index 0000000..9819858
--- /dev/null
+++ b/docs/epjviewer.ipynb
@@ -0,0 +1,319 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# View EPJ in a browser"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## EPJ in Browser "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The `epj` file is basically in `JSON` format. There are number of libraries that allow the conversion of the `JSON` in `HTML` format, which can be viewed in the browser. Here we explore some of these options with `eppy3000` functionality.\n",
+    "\n",
+    "This is most useful if you are using `eppy3000` in the `ipython notebook` or `jupyter notebook`, since the notebook works within the browser. Let us see what the possibilities are.\n",
+    "\n",
+    "Let us open a small `epjson` file and explore:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# you would normaly install eppy by doing\n",
+    "# python setup.py install\n",
+    "# or\n",
+    "# pip install eppy\n",
+    "# or\n",
+    "# easy_install eppy\n",
+    "\n",
+    "# if you have not done so, uncomment the following three lines\n",
+    "import sys\n",
+    "# pathnameto_eppy = 'c:/eppy3000'\n",
+    "pathnameto_eppy3000 = '../'\n",
+    "sys.path.append(pathnameto_eppy3000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pathnameto_eppy3000 = '../'\n",
+    "sys.path.append(pathnameto_eppy3000)\n",
+    "\n",
+    "from eppy3000.modelmaker import EPJ\n",
+    "ep_file = \"../eppy3000/resources/epJSON/V9_3/smallfile.epJSON\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "epj = EPJ(epjname=ep_file)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<table border=\"1\"><tr><th>Version</th><td><table border=\"1\"><tr><th>Version 1</th><td><table border=\"1\"><tr><th>version_identifier</th><td>9.3</td></tr><tr><th>idf_order</th><td>1</td></tr></table></td></tr></table></td></tr><tr><th>SimulationControl</th><td><table border=\"1\"><tr><th>SimulationControl 1</th><td><table border=\"1\"><tr><th>do_zone_sizing_calculation</th><td>Yes</td></tr><tr><th>do_system_sizing_calculation</th><td>Yes</td></tr><tr><th>do_plant_sizing_calculation</th><td>Yes</td></tr><tr><th>run_simulation_for_sizing_periods</th><td>No</td></tr><tr><th>run_simulation_for_weather_file_run_periods</th><td>Yes</td></tr><tr><th>idf_order</th><td>2</td></tr></table></td></tr></table></td></tr><tr><th>Building</th><td><table border=\"1\"><tr><th>Empire State Building</th><td><table border=\"1\"><tr><th>north_axis</th><td>30</td></tr><tr><th>terrain</th><td>City</td></tr><tr><th>loads_convergence_tolerance_value</th><td>0.04</td></tr><tr><th>temperature_convergence_tolerance_value</th><td>0.4</td></tr><tr><th>solar_distribution</th><td>FullExterior</td></tr><tr><th>maximum_number_of_warmup_days</th><td>25</td></tr><tr><th>minimum_number_of_warmup_days</th><td>6</td></tr><tr><th>idf_order</th><td>3</td></tr></table></td></tr></table></td></tr><tr><th>Site:Location</th><td><table border=\"1\"><tr><th>CHICAGO_IL_USA TMY2-94846</th><td><table border=\"1\"><tr><th>latitude</th><td>41.78</td></tr><tr><th>longitude</th><td>-87.75</td></tr><tr><th>time_zone</th><td>-6</td></tr><tr><th>elevation</th><td>190</td></tr><tr><th>idf_order</th><td>4</td></tr></table></td></tr></table></td></tr></table>\n"
+     ]
+    }
+   ],
+   "source": [
+    "from eppy3000 import epjviewer\n",
+    "html = epjviewer.epj2html(epj)\n",
+    "print(html)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "That is your `HTML` file. Dammit ! it is is not very useful. I see the `<table>` tags in it, but I want to see the actual table. \n",
+    "\n",
+    "Well ... You can copy that HTML text into a file and then open it in a browser. Try it. It will look like this.\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import ex_inits #no need to know this code, it just shows the image below\n",
+    "for_images = ex_inits\n",
+    "for_images.display_png(for_images.epjhtml) # display the image below"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "But can you see it in the `notebook`. This document is done is written in a `jupyter notebook`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# if you are in jupyter notebook, uncomment this line below. \n",
+    "\n",
+    "# epjviewer.epj2ipythonhtml(epj)\n",
+    "\n",
+    "# and you will get the hTML table below it\n",
+    "# It save the html by default in \"./eppy3000_deletethis.html\" and then displays it in the notebook"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Epmunch in Browser "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "What if you want to look at just one epobject"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<table border=\"1\"><tr><th>Version</th><td><table border=\"1\"><tr><th>Version 1</th><td><table border=\"1\"><tr><th>version_identifier</th><td>9.3</td></tr><tr><th>idf_order</th><td>1</td></tr></table></td></tr></table></td></tr></table>\n"
+     ]
+    }
+   ],
+   "source": [
+    "version = epj.epobjects[\"Version\"][0]\n",
+    "html = epjviewer.epmunch2html(version)\n",
+    "print(html)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "If you save it into a html file and open in a browser, it will look like:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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nJu+osF+xSqlPeUGVQ01D3VaDqBmiRdJ217HRNdRT0Rc1YDGEDb8avTa+b3LVNNfssHmYhYOl2g5uK2D10fqJzY2dhbZH7WLtSQ4OjkZOSs4iLmyuVK7Lbp/d33r0ed71akRWQ+HuLJ904kHfWBLZj+xPDggPDAsKDQ4JCQr1DyOG7yJ77HGNcIy0pdhEuUcHIFfmpLjU+BN7sxLO78tPLEgq3F90oOhg0aGS5IaUJ4cnUzFHhJD1QEpPySg51nF85MTPU3SnhTPVz1hn+Z6Nzz55rjSn5Xxv7njezwL8Ba5C6SKti+bFLiVBpfsvZZVVlz+oeF8FLvNe0a52raHUHrt6qa61/um1N9enbvxohJpomzlbRG8qtGq2GbXvuGV327nDo9PzjtNdy3s692W7uB/gHsx2v3jY/CivJ/Gx1xPtXq7exacv+q4/O9MfPeD23OCF7Ev+QY4h9ld8r6WGdd44jvi+9Rg1H1N5JzhON772/svE2IeXH3snH011f+qefjzT//nTV2iWfU7mm8m8z/eUH3UL04s6v4qWOVaq1qw3/S8N7kJW0CCyAu6jLFHP0T7o75hUrCC2EeeIm6cqx3sTmAlPqU/QONAK0M7SPaS/wpDFeIgpmjmUxZtVl42DbR5ZCUWcsVxW3ILcP3ke85byJfG7CigLMgh+FGoWThNxEuUVHRUrFidJiEp8kKyU2iOtIYOW6ZPNlSPKS8jPKNQpxippKa0pd6gcVjVXo1J7qJ6hYaOJ17yvlaJtoL2i06Qbraeg90n/koGPIZfhgNEJY0vjNZNrpiFm/Gb95kcstC0+WxbusLeCrOqtfW0Ybe7tTLLVsv1pd92egtwfvjrWOJGdZZ0/u1S7hrvJuE26F3u4e7J49nmd8nbcxbnr3e4an31EK18e3y+kDr9Mf68A4YDpwGtBicGmIQwhw6FVYQnhNmQh8q89zyLKIyMoypSFqObopBjjWJrYwbjy+MS9rgnq+7gTUYlfkob23zlQffDcoUPJoSkuhw3/kkvlPUJ7ZC1t7uiH9JcZ7ccuHk854X/S4pTsaebTq5mfzgxnPTv7OPvRud6cgfODucN5b/PfF0xe+Fq4cBEUU5dwlkpe0imzLw+qOFiZU3X1cteV0epftcxXZess6wOvpV4vu/GgYaaJsVm/JfVmfxtfe8Ct6tvzndp3/rrbd1+kK/HB64dGj+oeSz0pfIruIz7rGFB63vKSMkR6fWnEa6xyon+aOC+84f+t/wQ3ClYNgLN8SIbKAIDjWQCOIwFC/CsA7AQA7GgBcNIE8A5dALMkAMiU70/8gJDEkwCYAA+SbaohebQrCAEHQRaoBLfBIJiDaCAJJDckQclQCXQX+ghTwwqwK5wM18JvUDQoXVQEqhQ1hGZAcrRD6Fb0IkYNE4W5jHmLZcVaYZOxN5EcSxFHxtXgviK5VDzVbTwN3gNfhV9DsqRaambqvdRjNNY0zbRStAVIpnMMyW3SkGzmBCMrYyGTLFMrsw3zWxYKK5Y1l02OrZPdlX2GI5mTk7OOy4FribuUx45nlbeaz5ufnr9TIFZQWnBUKFt4pwhWpE00WkxWbEq8UiJMUklyWapbOleGLGsqxy+3Iv9aoU3xmJK3spIKtcqkardarXquxlHNRC2KdrhOsG6wXoh+gIGNoYoRlzEw/oDckBvMLpqfsNhvGbUjzCrUeo9Nws5024t2zfb9Dl+daJ1lXexd49yK3Hs8lr1kvX135e5+TmT2dSTl+L0JEAoMDKoOng/VCksJ79nDEREQ2RhFiCbG3IzjjW9J8E6kSmo+EHFIOnnqcHkqKY3naH/GkeMaJxVPk888yrbMGc87ekGyqK5E8NLe8obKd1dYamyunqgfuiHfmNkCtSbeQndk34Xvez9ofSTw+Ejv92cBAyMvPYfeDPuPfBs7937XR9mpyZmoL+2zD7+d+674o2JhfVHul+OS/bL1itwqenVw7dS6+eb5AQEMoAGsQBDIA31gD/xBIshEvN8JhsEixAqpQE5QLJQDtULvYDysCHvCGfBN+DNKAOWCOoa6h4bQBuh96OvoGYwYhogpwLzCcmBdsTnYVzhenC+uEjdHpU2VRvUCL45PwPcRpAlHCbPUntTdNJo0V2iFaPPpOOhy6LnoixgkGK4xGjIOMIUww8wFLJosg6zxbFxsbey+HFQcVzk9uDBc17hJPKw8D3mT+bT5fvLfEIgRVBNcErolfETETpRVdFisTJwiYSjJJPlBqk36nEyUrIOcsjy7/KrCuGK7Ur5ykgpR1VJNRV1Yg1WTWgujDekAXVgPp09rgDFYMpw1mjB+bfLMtNus07zNosWyZUeb1T3rPpuxnT/saOyFHbQdnZFbzCmXq64Dbksewp62Xge863dN+ggRd/vmk176MwZYBx4J6gxeRbwdH95EXorQj0yjDESLxMTF9sar7M3fh02kJI0dcDh4P1k3pekv9dTmNP2jDzPcjn06ceSU2ulPZ8rOBp9TPU/InczvvdBWVF98pfRyWXVFQ1XHlcc1L64O1T+//qDhatPxFp9W6bbZWzUdQXfM73l2RXanP7r0+FbvUN/cAOYF66DQK5lhlRHNUc13vO8xE3MfR6eeTLd8LvwaP2c6D3+vXND7ef+XwVLlCvUqae3apv9hQAVYgDCy961BAEgBheAWGIXQyK7fCUVDedAdaAZmgw3hKLgSHkPxojxRBagxtDg6An0TQ4VxxVRg1rDu2GYcH+4o7hdVGNU7ZH/3E2wI3dQ21AM0PjRfaZPpOOmu0zvSLzAUMFowLjPVMYexSLN8YW1gS2F35JDkhDnfcnVx1/OU8J7nO8t/DrmHXEG8OigyLfpLnFpCQFJdylE6UuaMbLPcuAKTopXSaeUBVTY1Z/XTGo+00Nq6OnG61/TmDIwN84x+mriYNppzWuyzHLbSsc61+WXravfSIcBxyfm0q5hbk4ep50Nv813tPvLEfBLBL8n/e2B40KeQ4NBP4WHkLxGRkd+j4qKXYpPiOffe2ReZJLT/+cEjyeop43+lH5FO60rfnfHtePJJjlN1mdZnps6mnRPP6coNyMcUFBfqF70qji6lu1ReblgxUpV0ha/6dq1fHb7+6nWXG6uNpc1WLd9az7cb3PrYcfIO792s+/Rdx7vpH57t4Xtc0av0tP2ZRf+z5y4vBgddhnpfmwxfHxF8+9fozDuP8cGJ3R8mJ8lTk9MOM7WfZ78KzOrMGX9TmxeY//y95QdlgWuh8yfx54fFsMW5X9G/Xi0ZLJUt0y5HLd9foV9xXSlamVxVXN272rk6t8a7ZrkWs1a01rO2uC6ybre+b718vX/D/1EBykqb4QOiMQIAM7K+Pi8GAC4TgNXT6+vLxevrqyVIsjEMwO2wre9Mm7EGiTH58xvooWDef33j2foG9Y885t9vsBmJNrUikWijbEQl8D/GL/nQ5FYK1QAAAGJlWElmTU0AKgAAAAgAAgESAAMAAAABAAEAAIdpAAQAAAABAAAAJgAAAAAAA5KGAAcAAAASAAAAUKACAAQAAAABAAABPqADAAQAAAABAAAAUwAAAABBU0NJSQAAAFNjcmVlbnNob3Q+g7izAAACPGlUWHRYTUw6Y29tLmFkb2JlLnhtcAAAAAAAPHg6eG1wbWV0YSB4bWxuczp4PSJhZG9iZTpuczptZXRhLyIgeDp4bXB0az0iWE1QIENvcmUgNi4wLjAiPgogICA8cmRmOlJERiB4bWxuczpyZGY9Imh0dHA6Ly93d3cudzMub3JnLzE5OTkvMDIvMjItcmRmLXN5bnRheC1ucyMiPgogICAgICA8cmRmOkRlc2NyaXB0aW9uIHJkZjphYm91dD0iIgogICAgICAgICAgICB4bWxuczpleGlmPSJodHRwOi8vbnMuYWRvYmUuY29tL2V4aWYvMS4wLyIKICAgICAgICAgICAgeG1sbnM6dGlmZj0iaHR0cDovL25zLmFkb2JlLmNvbS90aWZmLzEuMC8iPgogICAgICAgICA8ZXhpZjpQaXhlbFlEaW1lbnNpb24+ODM8L2V4aWY6UGl4ZWxZRGltZW5zaW9uPgogICAgICAgICA8ZXhpZjpVc2VyQ29tbWVudD5TY3JlZW5zaG90PC9leGlmOlVzZXJDb21tZW50PgogICAgICAgICA8ZXhpZjpQaXhlbFhEaW1lbnNpb24+MzE4PC9leGlmOlBpeGVsWERpbWVuc2lvbj4KICAgICAgICAgPHRpZmY6T3JpZW50YXRpb24+MTwvdGlmZjpPcmllbnRhdGlvbj4KICAgICAgPC9yZGY6RGVzY3JpcHRpb24+CiAgIDwvcmRmOlJERj4KPC94OnhtcG1ldGE+CqxLghYAABcoSURBVHgB7Z0FsOPGsoYnzMy8YWZm3mCFmZmxkgozM1SYmTmpDWfDzMzJhpkZ9frr+1pXR2dky3B8bZ/uKlvyaPCX1O5pmBkqEQpOjoAj4Aj0IwSG7kdj9aE6Ao6AI6AIOOPzB8ERcAT6HQLO+PrdLfcBOwKOwLAxCF599dVYsqc5Ao6AI9DWCKy33nrh5ZdfrtrHKOOj1Mwzz1y1sGdwBBwBR6ATEfCpbifeNe+zI+AINIRAocRntc4666x22nXHq6++OpVsu3mcXXfjfECOQAaB7HucSa54WpXxUbrMnLliK216Ma/L7NZxtin83i1HoCkI5N/jMpWWYnxlKuqWPPWA2C1j93E4Ap2EQFlDRmxMzvgiqLhhJwKKJzkCXYSAGze66Gb6UBwBR6AcAi7xVcDJDR7/BSerQHZc/ouLn7UWgexz2EjLzviqoOcGj/8AlNd9Oi5VHhy/3CcI5J/Dehtxxlcvcl4uNOshdCgdgWoINGLIiNXtjC+GiqeVRsANQaWh8oxthIAbN9roZnhXHAFHoDUIuMTXGpy7vhU3eHT9LU4HmDUw9OV9z7aTNt6kE2d8TQLSq+neCB+/tz0RyOt2+8rQlW+nZy8a++VT3cbw89KOgCPQgQg44+vAm+ZddgQcgcYQcMbXGH5eug0Q+Pnnn8O7777b0p6wR9crr7wS/v3335a2G2usaPy///57eO211/Tz22+/xYo2PY02uRf//PNPqbrBDxzL5i9VaYlMzvhKgORZ2heBv/76K8w444xhmmmmCbfcckvLOrrLLrsEFPubbLJJrzbfeuutsMgii4ShhhpKP5deemmvPI0koPsyRlE0/jPOOCNMMMEEYf/99w/HHHNMGHXUUcMRRxzRSLMVy8LA9ttvP70Xp512WphpppnCscceW7HMqaeeGqaccsow22yzhUkmmSRceOGFFfM386Izvmai6XW1HAEYwC+//KLt2rEVnfjxxx+1me+//75Xc9NNN1244YYbeqU3I+HJJ58M88wzTzAJLjb+hx56KOy8887KdK+//vqw0047qWR61llnNaML0Tqo++ijjw5PPPFEOOWUU8LNN9+sjPCiiy6K5qePH330UXjqqafCJ598EiaffPKw1157BSTGVpBbdVuBsrfRZwiMOOKIAQmLl2f22Wfvs3byFV9wwQVh++23D3POOWf+kv6mX82ml156Kayyyio9mENs/Pfcc09gKj7ZZJOFYYYZJsw333zhjTfeCGONNVazu5TWh7SGlIeUCSGFzz///OGoo44Km2++eZrPToYddthwwgkn2E8d1/nnnx+GG264NK0vT1zi60t0+1ndn376aVh00UXDvPPOq59VV101fPbZZ2G55ZbTl++2225TRK644gplUgMGDAhrrLFG+Pjjj8NXX33Vo+xdd90VFlhggUCeF198Mbzzzjthq6220heKaBEYDoyAtBVWWEGPSDcQ0y6mdeSbY445wmKLLaaSBdeuvfZa7Qt93H333cMhhxwSpphiijDXXHOFSy65hCxV6ZprrgkLLrigSlXUYUT5GWaYQadthx56qCX3OMbGDtNeeOGFU9yQlmAaTP+Q3P7880/FkXF8+eWXWh/nJ510Uq/xU//ll1+ueT788EPFF2a55ZZbKp7o/CAkxl133TVMNdVUyrD23XdfZZa0DaMEnx122CEwHUUaGzhwoF7XwpEv7iHT7iyBK/cNHWSeFlpooTTp119/DagDaAtG3RKSf4ZeJMrGNG2WWWZJz7vtJDbOWFq3jbue8cRwiaWdd955iTy4+pHpnjZF2oYbbqjnwnj0mjC8RF6IZNJJJ02EQSV//PFHctlll6VlJ5xwwmS00UbT3zKFStZZZ51EJJbk77//Tt5+++1kjDHGSJ599tlEmG1a5vTTT9c2ZGqnaaLb0vyi/0tEkkheeOEFvS4vcVpGGGeyxBJL6G/yyHRZ81T7Eh2elhEGpFlvv/12/S2STHLVVVclwmjSNoQhap5KY8/iJkwv2W233dLyV155pY5DdGdpmjD95Jtvvuk1/vfeey+RPxrNJ0w4kSllIgwyLffMM89oX9Zee21No+57771Xz0VHp9eEUepv0VEmwvTSssLE9HrsvkssbUL+H374QfPwxT3nWfj666/TtPwJ2AiDT4ThJfJn1eNyrJ2yaT0qivxwia8lfy/9p5FNN900TDTRRDpgean0iKRnktHhhx+uaUhzo4wySph++ul1sQN0Q+OMM04K1PHHHx+EsQUkEQwId9xxR/juu+9UbzTxxBOHM888U/OPO+64aRlOhgwZEkyXteSSS6oEQVtIIwceeKDmtXYwTgjD0Ta4QB6krzJkdVje4447Tk+Rbgmoz07jLE/ZsSM5nnzyyUGYuxZ9//33dRzjjTeeVaVGgbHHHjvkx4+xAHwgDBpI4Hyy9Oabb4brrrtOk5BckXYhpu+QjY3pKIaUG2+8UQ0VU089tV6PfSG5C38JBxxwQBDmFwYPHhzuvvtunfpafbFyww8/fNhss820r5RtlYHKGV/sbnha3Qigo9liiy20PAyPF+fzzz8Pc889t1oieemgE088UV+45557LqCnynvpM5WddtppVUfEi8zUDoLB8HJjMWUqlSfqM4vnmGOOqZdNt4UiPUsjjDCC/szq40SizGYpfW7RC0wLIfqXJfpUduzWLzvW26ds+9nzLNYrrbRSEIk3wIBgWF988UWaFUs5zHP11VdXw0N6IXKy5pprhn322UdVCdwvmCjqi2ohbfxJoJaAUUKDBg2K1N78JGd8zce039eIPokXH93UWmutpf/ogILuzfRA6OZgUt9++63qmzAUZCnPOJCCll9+ec2CnmuDDTZQhX22DOdZqyASCGR6o760+sI0IBhIjGoZe6x8M9NErZBWJ9Ny1aGSht7PjBNkyN+DtFDkZOihh1arLn9y4CxTac2FjrIMIXViEGk2ky9q2xlfETKeXjcCSGTLLLOMlkfBLroePUcaRGEPPfLII3rkC2YleqD0d/4EaQkJkekuUqRNuTAy5AnjgpExQWN4fbmElo2raBz1jt3G0swj98fo4YcfttOAccqk5TSxjhNUEjC8xRdfXK21ZargT4o/D/wfW0HO+FqBcj9sY+utt9ZRi1EijD766CkCG220kZ4/+OCD4bDDDlM90IorrqhWV6x7RkyTjJCWzEds5ZVX1nOuYX386aefLFtAakFyYOoG2ZQOVw5ojz320KMxQpN87MhFY5aascKXWSqtLJItJIYCfYFNX0aa6Q0rjd36RH6rE4kZsj7Z1Jc0Vi4Bi/z4uWZpxsSsPq5Rl0lX/MaqjSUXqyrTXsrafShi4pQrIpgef3SoIZDSs3TxxRer9RrfR/S/6GlpD6aHOwxT5JhDeLaOpp1Lo70oZjnplakLEmLjjKV1wVAbHkIMl1iaNSQvWyLK+OTRRx+1JD3KS5XINDW1FI488sjJ2WefrZY/rJDyYOuHc5kKaxlhAIkYQtT6h/VQXtxEFOJq6dx4443TMvKyJeI+kwijUUut+LElwoATmX4mEkWgdYnLSzLSSCNpGSyJ4v6RiOtGWodIKZqv0hd1UCd9xRKM9Vpe5mTppZfWNJkiJuJio+fjjz9+Iq4qCVbYorHTZ5Fi0z6ITk37a1hg4QZr0b8lwhw0n0wLk/vvvz/Jj1+YSQKmlGV8IhWnVmvSGCskLkIJdVgbYmRSq/ett96aiF4vTcfCm6fYfRdnZLUei/tRghVemG6+WLLNNtuo5Vd0nYkYrbQN2sKKjSVeJL4eZWLtlE3rUVHkB9y2F8Uq75WphQnyj5+I8jgKZiPdiI0zltZIG42W7auxV+qX+GQpU8nmieESS8uWEUkr+7PHOS8xLx9MrQzhSkHe559/PhGpokwRZYC4b8BwaiEYkViHCz+44RSRWGC1Xa7jdhOjWseerUMktkR88bJJdZ/zbHGP6HMtFLvvuAqJFJ+InrCwKlyRwNZI9LsJnyKKtVM2rahOSy891WXqgrLTPuhZzGTPlAKdDtfwFpeHU/5ImkeV4iKb10q8JvQeeKTbuDmiu3jssce0AN7muGSQblOseE31pbZq7EwnxRdNpztYJuUBra/DmVLgUkQiCWmMJrqvMsTzRl4cks1aW60cUyesySLhVcva4zrT8wEDBhR+isKwqIRytAthFY1RrWPP1sF0FyNAM4hnlntEnxslomawvGct5Pk6MTKJ9JomY203i3ua2KKTYcu2g78TL4cFEuN7s+eee2pxlMYiIusNf/zxx4M4pZattlS+SnGRpSpoIBMPMfGRKM1hgtA555yjvznHOsnDKM63qq8irZnUirHDxPkTI35SnGKb2f2OrAv9WVbnlh9E1p8uf81/dwYCpSU+hoOfDv8SEP96MEIjgrLxyWk206N+FMUw1L4K/LYxFB0lgkADve16VnFNGs6ge++9t11u6rEVY8eJFSdVQpicgv6B40NY9CkrcTqW7YtATYyPB8F8qUQvEO688850ZLyg5riKFQ0Pdiw7vFRIgxCrRBADyAcLD9Yf/j1ZzQH/LhwZWaKGqSXTRixORXGR9913n9aNiM2HOqAycY+ascYvpvomxsP0zdLGlPD1118PSy21lNYYi8XkQjuP3f7MRCleIyqe3RHoTARKT3VtePjn4E8FYY7GFYFAZBxRcS/gSMA1pnQWJGQ9MJwZmUbhdU8YDk6KYuFRZ0lM5kwTkRQJKYKZ4suz7rrrqlmfo8Rgqt+XvZgPPPCABk3j3U8AO9IWIVFMCw866CBdDcLcKViLjIBoGCP1cL7++uvbcEofCQ2iHEyP6SAMmfAsTPZiWVNJGMkPlwXCd3APYHrMHwWOup089rIgmftI2fyerzsQ6Mj7blaO7DFmObHrWIJE8lNTtHhrq0UI0zSB0JDEI+o1M5vjqiC3N9lxxx31upnKMZOLHiWRZWs0SFqkRc2H6R9rmCw1lOA2AMkqH3rNAsIl9lJ/i1+WXscETxu4KWDxk2mb/ibNLIsEtfP7yCOP1DJ8xcYZS7MCuFdQBx9M8BBuAB988IGeS3iOXhMmp7/NvQFrF9ROY9cO5b5Ez5eOD/eELMVwyaZl8/q5I9BsBGyxlOwzVymtWvs1TXXlhVfJRpgYp6rjY6VXwl7MOVM6ptdYMghHSRxPmSIy/c0S1jkkOILQhUGksZji96VWK1ZxRZrME5KkWY1N12KWIUJuLGbSypnTpx0bCYlBwkSahTB4EEiOBZQP/Sobi9mJYzc8/egIdAMCNU91GTQLC7KSAt7rrAm22mqrqa6Oa+Ztjn6PKV4REduXJTy20ZdRL8wJxof+z1bUsLwwGIv3tDSLxeR3JWuc5W/kyFQf5gxh1bYVSDD0WL+w9KKvLKJOHXvReEivFoxeqaxf6ywEsvvd9uV9z7bTbITqYnyEIMGo0PHxwhOUbmRxgOj9CFg2vx2WmcbHr4hgoNTDKg/o7G666SYNy8kzPoLA8TuSdcdSA4OFD1E3rjXitFrUTMPp6O9wccG1BYkTpg9ZLCYLMubjUOlffvmgbEfaZewyPch2q+bzvLRdcwVeoCMQyOv0+uq+59tpJjg9xa4aasZKCcEEsOAa4dKCRANDRPkvYTW6pM3BBx+skpxJhLaSrJWDWWCIwHIMp4eRYCyBjLFZzKHFXNq02qbRGFFgrlmpz8pYu2aNtXZrPdKv7bbbTouxQohNoUmw6X4sDhUp1vrQrmNHPWHEH5eTI9C1CMSUgDEFYizfsssuqzF3+WvnnnuuxlYKaBqbx+q5GDJk6aFUeY6xgRVljURy0lhMWTwykWDpRBZP1DC1WFykTHcTVosVJpRsu+22iSx8mUjAtq5IS0hMmbhH2o2NM5ZmfbSjSLIaq0n4VJaKYjHJ025jz/b76aef1hWOhYmn94dYWfmzSrPFcImlpQX8pGsRaNV9j7VTNq0a+A3F6oq7SiKraETbgAkQi1k2rpJYTIij+AjqebUvWdkh4aUl9rEeagREWTG4sMlaYzH/F2Mv7HzBhUawKqiyKck8A4ZfrRWydDtxr3gqOJVHIPYs5EuXfe/z5bK/Y+2UTcvWEzuve6qLCMxGJUW6K+IjcUY2y2s1kZlYTIgjOrwyJO4hutUesY+tJjaDKaJaYzE7bexF4251OsYk4laJiY0tWV60vy0GMtQU3Cf2gkUP3Zf6pDwuGL/QVeM4zkZA3ULCYHSJKwIUUFu1MzXE+Np5YN637kcABmb6XDtmR120vy2O5rhgcV3UNbpzWT4MMVtPs89Z2IJ9QCCYRbcQO+NhxOxL42KzsKrLqtusxr0eR6ARBPAPrbanroUZZtuxvTfY7AjvBCQ+VtxpJdW6Ykwr+1ZvW0Qp4ZPLikLtTi7xtfsd8v4VIsCUMb+nLpkJIyRckOXg8/vbEkvNggwQTBPGh6N9pZ3ANLN8FcWHV9sTmPJ4HhB/zs5ouEBlV5i2+uuJ87ayfqwNAWd8teHludsIAbZrZFrFRwxK2jPiyFkyjThx9umwZb2s28RqwxQhXLGI8c5usGP58keLD0evSHw40g1lWT4fR3vxLkj7Qvts3C2hjBrXzjQcpoebEwtzwPiyrkO0ZXHe6CvRN4rRTtvABYo4b1noU+snxp24d4txz/fTf5dDwBlfOZw8VxsiEDOswSSgov1tcbCH4UEYx9hztsy0k9BKfFNhYJBtioMSnz0kshJjfk9gJFAYM8YM8sMY2fM3S5X23CW006bsSLiERkqMuzLEbB1+Xh4B1/GVx8pzdgACFkVQtL9tPUPAiFJLfHh2T2Dasz4xzUWvCGXDFqk/G+eN4WXIkCHK7JD+bE9hymXjvPntVB8Czvjqw81LtSkC1fa3rafbMCaLw7byleLDbX1Dy4tECOHCEiMkSau/1jjvWH2eVh0Bn+pWx8hzdBAC1fa3rWcoFh9OWQt5tDBK0qrt12sx6kXL+lucN3Xl47zr2eKRepwqI+CMrzI+frWNEWBPViOLyS6zv635/MUsq1Zf/lgtPlwildIi+XpZeAPCUDFo0CCd+krkj6ax2AUSX71x3lpJG31JxIb2hiXi2ppi4RyxsJBYvk5Pi40zltbp42xG/2O4xNKa0VbZOvJ7yhKnXW1/W/bXZY9eeSn1Q1y4SG9Vm5TpbmF8uEhlCbHNVifntiewVcxes6LX09h1kQB1AVsxWiSis9OY9XrjvK3+Vh6L7vvgwYOTgQMHKg4SFaOx3sLs6+5arJ2yadUabShWt1rl7X69WSC2+zib0b9Ow4p4bzYWh4r2tzVcxOWlcA9dMTL02Au2kfhw9pC12GBWuBa9nnUhPdYa550WbOFJ7Fnoi+Zj7ZRNq9YfN260tTzunasXgWy8d9H+tlY3G19VijbA5QXfOcjiw61sLcfsPrJFuxESP8zHqW8RcMbXt/h67R2AAOtG2u6Bse6aC0rsmqd1JgLO+Drzvnmvm4gAK4rzceo/CLhVt//cax+pI+AI/D8CLvH5o9A0BFq5pl3TOu0VNYxAJ953Z3wN33avAAQsLMvR6F8IdOp996lu/3pOfbSOgCMgCLjE549BQwj05b6qDXXMCzsCFRBwxlcBHL9UGQFiVDt1qlN5ZH612xFwxlflDnei4rbKkJpy2XFpCoxeyf8IAWd8FYB3aSYOjuMSx8VTOwcBN250zr3ynjoCjkCTEHCJLwKkK+wjoHiSI9BFCDjjy91MV9jnAPGfjkAXIlCK8fUXRXZ/GWcXPsc+JEegJgSqMr7+osjuL+Os6enwzI5AlyLgxo0uvbE+LEfAEShGoFDicwV/MWh+xRFwBDobgaFYormzh+C9dwQcAUegNgR8qlsbXp7bEXAEugABZ3xdcBN9CI6AI1AbAs74asPLczsCjkAXIOCMrwtuog/BEXAEakPAGV9teHluR8AR6AIEnPF1wU30ITgCjkBtCPwfp6KI76G+s9kAAAAASUVORK5CYII=\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for_images.display_png(for_images.epmunchhtml) # display the image below"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# if you are in jupyter notebook, uncomment this line below. \n",
+    "\n",
+    "# epjviewer.epmunch2ipythonhtml(version)\n",
+    "\n",
+    "# and you will get the hTML table below it\n",
+    "# It save the html by default in \"./eppy3000_deletethis.html\" and then displays it in the notebook"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Epobjects in Browser \n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "How about viewing a list of epobjects.\n",
+    "\n",
+    "Let us try a complex example with mix of epobjects"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ep_file = \"../eppy3000/resources/snippets/V9_0/5Zone_Unitary_HXAssistedCoil.epJSONout\"\n",
+    "epj = EPJ(ep_file)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "surfs = epj.epobjects[\"BuildingSurface:Detailed\"]\n",
+    "roofs = [surf for surf in surfs if surf.surface_type == 'Roof'] \n",
+    "version = epj.epobjects[\"Version\"]\n",
+    "epobjects = version + roofs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<table border=\"1\"><tr><th>Version</th><td><table border=\"1\"><tr><th>Version 1</th><td><table border=\"1\"><tr><th>idf_max_extensible_fields</th><td>0</td></tr><tr><th>idf_max_fields</th><td>1</td></tr><tr><th>idf_order</th><td>1</td></tr><tr><th>version_identifier</th><td>9.0</td></tr></table></td></tr></table></td></tr><tr><th>BuildingSurface:Detailed</th><td><table border=\"1\"><tr><th>TOP-1</th><td><table border=\"1\"><tr><th>construction_name</th><td>ROOF-1</td></tr><tr><th>idf_max_extensible_fields</th><td>12</td></tr><tr><th>idf_max_fields</th><td>22</td></tr><tr><th>idf_order</th><td>63</td></tr><tr><th>number_of_vertices</th><td>4</td></tr><tr><th>outside_boundary_condition</th><td>Outdoors</td></tr><tr><th>sun_exposure</th><td>SunExposed</td></tr><tr><th>surface_type</th><td>Roof</td></tr><tr><th>vertices</th><td><table border=\"1\"><thead><tr><th>vertex_x_coordinate</th><th>vertex_y_coordinate</th><th>vertex_z_coordinate</th></tr></thead><tbody><tr><td>0.0</td><td>15.2</td><td>3.0</td></tr><tr><td>0.0</td><td>0.0</td><td>3.0</td></tr><tr><td>30.5</td><td>0.0</td><td>3.0</td></tr><tr><td>30.5</td><td>15.2</td><td>3.0</td></tr></tbody></table></td></tr><tr><th>view_factor_to_ground</th><td>0.0</td></tr><tr><th>wind_exposure</th><td>WindExposed</td></tr><tr><th>zone_name</th><td>PLENUM-1</td></tr></table></td></tr></table></td></tr></table>\n"
+     ]
+    }
+   ],
+   "source": [
+    "html = epjviewer.epobjects2html(epobjects)\n",
+    "print(html)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for_images.display_png(for_images.epobjectshtml) # display the image below"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# if you are in jupyter notebook, uncomment this line below. \n",
+    "\n",
+    "# epjviewer.epobjects2ipythonhtml(epobjects)\n",
+    "\n",
+    "# and you will get the hTML table below it\n",
+    "# It save the html by default in \"./eppy3000_deletethis.html\" and then displays it in the notebook"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/docs/eppy3000.rst b/docs/eppy3000.rst
index fc30a69..8f1d8cb 100644
--- a/docs/eppy3000.rst
+++ b/docs/eppy3000.rst
@@ -21,6 +21,14 @@ eppy3000.epMunch module
     :undoc-members:
     :show-inheritance:
 
+eppy3000.epjviewer module
+-------------------------
+
+.. automodule:: eppy3000.epjviewer
+    :members:
+    :undoc-members:
+    :show-inheritance:
+
 eppy3000.eppy3000 module
 ------------------------
 
diff --git a/docs/ex_inits.py b/docs/ex_inits.py
new file mode 100644
index 0000000..fd6f019
--- /dev/null
+++ b/docs/ex_inits.py
@@ -0,0 +1,28 @@
+# Copyright (c) 2020 Santosh Philip
+# =======================================================================
+# This Source Code Form is subject to the terms of the Mozilla Public
+# License, v. 2.0. If a copy of the MPL was not distributed with this
+# file, You can obtain one at http://mozilla.org/MPL/2.0/.
+# =======================================================================
+
+"""some init routines to do the documentation"""
+from IPython.display import Image
+from IPython.display import (
+    display_pretty,
+    display_html,
+    display_jpeg,
+    display_png,
+    display_json,
+    display_latex,
+    display_svg,
+)
+
+# idfeditor = Image(filename="./images/idf3.png")
+# material_lists = Image(filename="./images/material_lists.png")
+# html_snippet1 = Image(filename="./images/html1.png")
+# html_snippet2 = Image(filename="./images/html2.png")
+# plantloop1 = Image(filename="./images/hhh1.png")
+# plantloop2 = Image(filename="./images/hhh_new.png")
+epjhtml = Image(filename="./images/htmlviewer/epjhtml.png")
+epmunchhtml = Image(filename="./images/htmlviewer/epmunchhtml.png")
+epobjectshtml = Image(filename="./images/htmlviewer/epobjectshtml.png")
diff --git a/docs/images/htmlviewer/epjhtml.png b/docs/images/htmlviewer/epjhtml.png
new file mode 100644
index 0000000..541758d
Binary files /dev/null and b/docs/images/htmlviewer/epjhtml.png differ
diff --git a/docs/images/htmlviewer/epmunchhtml.png b/docs/images/htmlviewer/epmunchhtml.png
new file mode 100644
index 0000000..fae1a23
Binary files /dev/null and b/docs/images/htmlviewer/epmunchhtml.png differ
diff --git a/docs/images/htmlviewer/epobjectshtml.png b/docs/images/htmlviewer/epobjectshtml.png
new file mode 100644
index 0000000..d0f0976
Binary files /dev/null and b/docs/images/htmlviewer/epobjectshtml.png differ
diff --git a/docs/index.rst b/docs/index.rst
index 63db254..4733e3c 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -10,6 +10,7 @@ Welcome to eppy3000's documentation!
    usage
    tutorial1
    tutorial2
+   epjviewer
    runningeplus
    usewitheppy
    developmentnotes
diff --git a/eppy3000/__init__.py b/eppy3000/__init__.py
index b49629b..e7a667d 100644
--- a/eppy3000/__init__.py
+++ b/eppy3000/__init__.py
@@ -4,4 +4,4 @@
 
 __author__ = """Santosh Philip"""
 __email__ = "santosh@noemail.com"
-__version__ = "0.1.4"
+__version__ = "__version__ = '0.1.5'"
diff --git a/eppy3000/epMunch.py b/eppy3000/epMunch.py
index 37e8574..873a0d0 100644
--- a/eppy3000/epMunch.py
+++ b/eppy3000/epMunch.py
@@ -240,3 +240,13 @@ def delete(self):
     def copy(self, newname):
         """make a copy of this anc add it to parent dict"""
         pass
+
+    def allfieldnames(self):
+        return list(self.keys())
+
+    def epjfieldnames(self):
+        fieldnames = [key for key in self.keys() if not key.startswith("eppy")]
+        return fieldnames
+
+    def schemafieldnames(self):
+        return list(self.eppy_objepschema.keys())
diff --git a/eppy3000/epjviewer.py b/eppy3000/epjviewer.py
new file mode 100644
index 0000000..6a7dae6
--- /dev/null
+++ b/eppy3000/epjviewer.py
@@ -0,0 +1,155 @@
+# Copyright (c) 2021 Santosh Philip
+# =======================================================================
+# This Source Code Form is subject to the terms of the Mozilla Public
+# License, v. 2.0. If a copy of the MPL was not distributed with this
+# file, You can obtain one at http://mozilla.org/MPL/2.0/.
+# =======================================================================
+"""HTML viewer for EPJ and epMunch"""
+
+
+import tempfile
+try:
+    from IPython.display import IFrame
+except ModuleNotFoundError as e:
+    pass
+from munch import Munch
+import json2html
+
+class JupyterNotInstalled(Exception):
+    pass
+
+def removeeppykeys_inepmunch(epmunch, rkeys=None):
+    """remove the eppy keys in epmunch"""
+    if not rkeys:
+        rkeys = [
+            "eppykey",
+            "eppyname",
+            "eppy_objepschema",
+            "eppy_epj",
+            "eppy_epobjects",
+        ]
+    for rkey in rkeys:
+        epmunch.pop(rkey, None)
+
+
+def _epmunch2displaymunch(epmunch):
+    """modify epmunch for display in HTML"""
+    todict = epmunch.toDict()
+    todict = Munch.fromDict(todict)
+    eppykey = todict["eppykey"]
+    eppyname = todict["eppyname"]
+    removeeppykeys_inepmunch(todict)
+    en = Munch()
+    en[eppyname] = todict
+    ek = Munch()
+    ek[eppykey] = en
+    return ek
+
+
+def epmunch2dct(epmunch):
+    """convert epmunch to and json string"""
+    ek = _epmunch2displaymunch(epmunch)
+    dct = ek.toDict()
+    return dct
+
+
+def epmunch2html(epmunch):
+    """convert epmunch to an HTML table"""
+    dct = epmunch2dct(epmunch)
+    html = json2html.json2html.convert(json=dct)
+    return html
+
+
+def epmuchhtmllines(epmunch):
+    """return the rows in the html table made from epmunch"""
+    lines = 0
+    for field in epmunch.epjfieldnames():
+        if type(epmunch[field]) is list:
+            lines += len(epmunch[field])
+        else:
+            lines += 1
+    return lines
+
+
+def epjhtmllines(epj):
+    """return the number of rows in all the epmunch tables
+    that make up the epj"""
+    lines = 0
+    for key in epj.epj.keys():
+        for epmunch in epj.epobjects[key]:
+            lines += epmuchhtmllines(epmunch)
+    return lines
+
+
+def epobjectslines(epobjects):
+    """return the number of rows in all the epmunch tables
+    that make up the epobjects"""
+    lines = 0
+    for epmunch in epobjects:
+        lines += epmuchhtmllines(epmunch)
+    return lines
+
+
+def epmunch2ipythonhtml(epmunch, fname="./eppy3000_deletethis.html"):
+    """display the epmunch as HTML table in jupyter notebook"""
+    htmllines = epmuchhtmllines(epmunch)
+    html = epmunch2html(epmunch)
+    open(fname, "wb").write(html.encode())
+    try:
+        return IFrame(src=fname, width=800, height=30 * htmllines + 50)
+    except NameError as e:
+        raise JupyterNotInstalled
+
+
+def epj2html(epj):
+    """convert the epj to html"""
+    epjjsonstr = epj.jsonstr()
+    html = json2html.json2html.convert(json=epjjsonstr)
+    return html
+
+
+def epj2ipythonhtml(epj, fname="./eppy3000_deletethis.html"):
+    """display the epj as HTML tables in jupyter notebook"""
+    html = epj2html(epj)
+    open(fname, "wb").write(html.encode())
+    lines = epjhtmllines(epj)
+    height = 30 * lines + 50
+    try:
+        return IFrame(src=fname, width=8000, height=height)
+    except NameError as e:
+        raise JupyterNotInstalled
+
+
+def epobjects2dct(epobjects):
+    """convert epobjects to dcts for display"""
+    dct = {}
+    for i, epmunch in enumerate(epobjects):
+        eppykey = epmunch.eppykey
+        eppyname = epmunch.eppyname
+        displaymunch = _epmunch2displaymunch(epmunch)
+        displaydict = displaymunch.toDict()
+        for k1, val1 in displaydict.items():
+            pass
+        dct.setdefault(eppykey, dict())
+        dct[eppykey].update(val1)
+    return dct
+
+
+def epobjects2html(epobjects):
+    """convert epobjects to html"""
+    dct = epobjects2dct(epobjects)
+    html = json2html.json2html.convert(json=dct)
+    return html
+
+
+def epobjects2ipythonhtml(epobjects, fname="./eppy3000_deletethis.html"):
+    """display the epobjects as HTML tables in jupyter notebook"""
+    html = epobjects2html(epobjects)
+    open(fname, "w").write(html)
+    lines = epobjectslines(epobjects)
+    print(lines)
+    height = 30 * lines + 50
+    try:
+        return IFrame(src=fname, width=800, height=height)
+    except NameError as e:
+        raise JupyterNotInstalled
diff --git a/eppy3000/modelmaker.py b/eppy3000/modelmaker.py
index abef779..09b687d 100644
--- a/eppy3000/modelmaker.py
+++ b/eppy3000/modelmaker.py
@@ -29,6 +29,7 @@ def __init__(self, epjname=None, epw=None, epschemaname=None):
     def read_epschema_asmunch(self):
         """Read the epschema file - will become a frozen singleton"""
         read_epschema_asmunch(self.epschemaname)
+        # not used ???
 
     def read(self):
         """read the epj file"""
@@ -38,7 +39,7 @@ def read(self):
         }
         # TODO: the above line should get the epobjects from the schema
         # This should happen whenever the schema is read.
-        # in case the schema reding happens far in the future
+        # in case the schema reading happens far in the future
         # eppy3000 should partilly work even without the schema
         # -
 
diff --git a/eppy3000/oldeppy/__init__.py b/eppy3000/oldeppy/__init__.py
index 17d77c8..0ca8053 100644
--- a/eppy3000/oldeppy/__init__.py
+++ b/eppy3000/oldeppy/__init__.py
@@ -5,7 +5,7 @@
 # file, You can obtain one at http://mozilla.org/MPL/2.0/.
 # =======================================================================
 """convertion functions - to convert from JSON to IDF and in reverse.
-These functions return a eppy.IDF or eppy3000.IDF structure"""
+These functions return a eppy.IDF or eppy3000.EPJ structure"""
 
 
 class NeedsEppyError(Exception):
@@ -32,7 +32,8 @@ def idf2epj(idf, epjsonhandle):
     """convert idf to json. return a eppy3000.IDF structure"""
     idfhandle = StringIO(idf.idfstr())
     epjstr = eppy3000.idfjsonconverter.idf2json(idfhandle, epjsonhandle)
-    return EPJ(StringIO(epjstr), epw=idf.epw)
+    epjsonhandle.seek(0)  # need to reset, since we are reading it again
+    return EPJ(StringIO(epjstr), epw=idf.epw, epschemaname=epjsonhandle)
 
 
 def epj2idf(epj, epjsonhandle, iddhandle=None):
diff --git a/ideas.txt b/ideas.txt
new file mode 100644
index 0000000..ccc574e
--- /dev/null
+++ b/ideas.txt
@@ -0,0 +1,13 @@
+===========================
+A Gathering Place for Ideas
+===========================
+
+2021-01-14
+----------
+
+- json2html viewer seems to be working
+    - need to save to a temporary file and then open to 
+- Is an editor possible
+    - serve the pages using flask
+    - send flask messages and snippets using 0MQ
+        - would be a ver intersting project.
\ No newline at end of file
diff --git a/notes.txt b/notes.txt
index 8163981..371fbe7 100644
--- a/notes.txt
+++ b/notes.txt
@@ -1,8 +1,27 @@
+2021-01-16
+----------
+
+IFrame from notebook is not showing up in sphinx documentation
+
+2021-01-14
+----------
+
+need to get at field names of the epMunch objects. Options:
+
+- allfilednames (will include the eppy* names) - DONE. need pytest
+- epjfieldnames (all field names in the epj except the eppy* names) - DONE. need pytest
+- schemafieldnames (fieldnames from the schema. Can be different from the epjfieldnames) - DONE. need pytest
+
+-
+there is a copy of epschema with every file. This a waste of memory. leave as a placeholder for now
+
 2021-01-12
 ----------
 
 use https://pypi.org/project/json2html/ to display the json. Maybe display it in jupyter notebook ?
 
+DONE -> needs user documentation. and full docstrings
+
 2020-07-29
 ----------
 
@@ -29,12 +48,12 @@ to deal with eppy field names. EPMunch can deal with all the objects higher in h
 
 Based on how eppy works:
 
-- EPJ should have access to the model (this is EPJ.epj)
-- epMunches ahould have access to model as too
+- EPJ should have access to the model (this is EPJ.epj) - DONE
+- epMunches ahould have access to model as too - DONE -> epMunch.epj = EPJ.epj
     - maybe to one level above the epmunch object
         - although EPJ.epj gives this access
-        - but does epMunch have access to EPJ.epj - NO
-- see comment in line 42 of wppy3000/modelmaker.py -> on how to do this
+        - but does epMunch have access to EPJ.epj - NO, now YES
+- see comment in line 42 of eppy3000/modelmaker.py -> on how to do this
 
 2020-07-10
 ----------
@@ -195,6 +214,10 @@ it will refer to the version of iPython that you installed in your virtual envir
     python3.7 -m venv ~/venvs/eppy3000_eppy
     source ~/venvs/eppy3000_eppy/bin/activate
 
+    # if you want to test with eppy installed no jupyter  notebook:
+    python3 -m venv ~/venvs/eppy3000_eppy_nojupyter
+    python3.7 -m venv ~/venvs/eppy3000_eppy_nojupyter
+    source ~/venvs/eppy3000_eppy_nojupyter/bin/activate
 
 2018-10-15
 ----------
diff --git a/requirements.txt b/requirements.txt
index 1772441..c881cd2 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,4 +1,8 @@
 munch
-nbsphinx
 eppy
-black
\ No newline at end of file
+json2html
+
+black
+
+# - needed for ReadtheDocs
+nbsphinx
diff --git a/setup.cfg b/setup.cfg
index 9f3125f..e1df9bb 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 0.1.4
+current_version = 0.1.5
 commit = True
 tag = True
 
diff --git a/setup.py b/setup.py
index a574a26..30102dc 100755
--- a/setup.py
+++ b/setup.py
@@ -11,10 +11,7 @@
 with open("HISTORY.rst") as history_file:
     history = history_file.read()
 
-requirements = [
-    "munch",
-    "eppy"
-]
+requirements = ["munch", "eppy", "json2html"]
 
 setup_requirements = [
     "pytest-runner",
@@ -49,6 +46,6 @@
     test_suite="tests",
     tests_require=test_requirements,
     url="https://github.com/pyenergyplus/eppy3000",
-    version="0.1.4",
+    version="version='0.1.5'",
     zip_safe=False,
 )
diff --git a/technical_debt.txt b/technical_debt.txt
index 5fa8aa9..a4a3fca 100644
--- a/technical_debt.txt
+++ b/technical_debt.txt
@@ -11,6 +11,13 @@ Technical debt
 Technical debt is a concept in software development that reflects the implied cost of additional rework caused by choosing an easy solution now instead of using a better approach that would take longer. As with monetary debt, if technical debt is not repaid, it can accumulate 'interest', making it harder to implement changes. - https://en.wikipedia.org/wiki/Technical_debt
 
 
+2021-01-14
+----------
+
+- each EPJ file has a copy of the epschema. This is wasteful of memory. Need to make it a singleton based on EPJ.epschemaname
+- Also epschema has some infor clipped out, since there ia a good schance it may not be needed. We'll see.
+
+
 2021-01-12
 ----------
 


Test patch:
diff --git a/tests/test_epjviewer.py b/tests/test_epjviewer.py
new file mode 100644
index 0000000..be30684
--- /dev/null
+++ b/tests/test_epjviewer.py
@@ -0,0 +1,141 @@
+# Copyright (c) 2021 Santosh Philip
+# =======================================================================
+# This Source Code Form is subject to the terms of the Mozilla Public
+# License, v. 2.0. If a copy of the MPL was not distributed with this
+# file, You can obtain one at http://mozilla.org/MPL/2.0/.
+# =======================================================================
+"""py.test for epjviewer"""
+
+import pytest
+from eppy3000.modelmaker import EPJ
+from eppy3000 import epjviewer    
+try:
+    from IPython.display import IFrame
+    JUPYTER = True
+except ModuleNotFoundError as e:
+    JUPYTER = False
+
+# schema_file = "./eppy3000/resources/schema/V9_3/Energy+.schema.epJSON"
+ep_file = "./eppy3000/resources/epJSON/V9_3/smallfile.epJSON"
+epj = EPJ(epjname=ep_file)
+ep_file_big = (
+    "./eppy3000/resources/snippets/V9_0/5Zone_Unitary_HXAssistedCoil.epJSONout"
+)
+epj_big = EPJ(epjname=ep_file_big)
+
+
+def test_epj2html():
+    """py.test for epj2html"""
+    expected = '<table border="1"><tr><th>Version</th><td><table border="1"><tr><th>Version 1</th><td><table border="1"><tr><th>version_identifier</th><td>9.3</td></tr><tr><th>idf_order</th><td>1</td></tr></table></td></tr></table></td></tr><tr><th>SimulationControl</th><td><table border="1"><tr><th>SimulationControl 1</th><td><table border="1"><tr><th>do_zone_sizing_calculation</th><td>Yes</td></tr><tr><th>do_system_sizing_calculation</th><td>Yes</td></tr><tr><th>do_plant_sizing_calculation</th><td>Yes</td></tr><tr><th>run_simulation_for_sizing_periods</th><td>No</td></tr><tr><th>run_simulation_for_weather_file_run_periods</th><td>Yes</td></tr><tr><th>idf_order</th><td>2</td></tr></table></td></tr></table></td></tr><tr><th>Building</th><td><table border="1"><tr><th>Empire State Building</th><td><table border="1"><tr><th>north_axis</th><td>30</td></tr><tr><th>terrain</th><td>City</td></tr><tr><th>loads_convergence_tolerance_value</th><td>0.04</td></tr><tr><th>temperature_convergence_tolerance_value</th><td>0.4</td></tr><tr><th>solar_distribution</th><td>FullExterior</td></tr><tr><th>maximum_number_of_warmup_days</th><td>25</td></tr><tr><th>minimum_number_of_warmup_days</th><td>6</td></tr><tr><th>idf_order</th><td>3</td></tr></table></td></tr></table></td></tr><tr><th>Site:Location</th><td><table border="1"><tr><th>CHICAGO_IL_USA TMY2-94846</th><td><table border="1"><tr><th>latitude</th><td>41.78</td></tr><tr><th>longitude</th><td>-87.75</td></tr><tr><th>time_zone</th><td>-6</td></tr><tr><th>elevation</th><td>190</td></tr><tr><th>idf_order</th><td>4</td></tr></table></td></tr></table></td></tr></table>'
+    result = epjviewer.epj2html(epj)
+    assert result == expected
+
+
+def test_epmunch2dct():
+    """py.test for epmunch2dct"""
+    expected = {"Version": {"Version 1": {"idf_order": 1, "version_identifier": "9.3"}}}
+    versions = epj.epobjects["Version"]
+    version = versions[0]
+    result = epjviewer.epmunch2dct(version)
+    assert result == expected
+
+
+def test_epmunch2html():
+    """py.test for epmunch2html"""
+    expected = '<table border="1"><tr><th>Version</th><td><table border="1"><tr><th>Version 1</th><td><table border="1"><tr><th>version_identifier</th><td>9.3</td></tr><tr><th>idf_order</th><td>1</td></tr></table></td></tr></table></td></tr></table>'
+    versions = epj.epobjects["Version"]
+    version = versions[0]
+    result = epjviewer.epmunch2html(version)
+    assert result == expected
+
+
+def test_epmunch2ipythonhtml():
+    """py.test for epmunch2ipythonhtml"""
+    versions = epj.epobjects["Version"]
+    version = versions[0]
+    if JUPYTER:
+        expected = IFrame
+        result = epjviewer.epmunch2ipythonhtml(version)
+        assert type(result) == expected
+    else:
+        with pytest.raises(epjviewer.JupyterNotInstalled):
+            result = epjviewer.epmunch2ipythonhtml(version)
+            
+
+
+def test_epmuchhtmllines():
+    """py.test for epmuchhtmllines"""
+    surfaces = epj_big.epobjects["BuildingSurface:Detailed"]
+    surface = surfaces[0]
+    result = epjviewer.epmuchhtmllines(surface)
+    expected = 15
+    assert result == expected
+
+
+def test_epjhtmllines():
+    """py.test for epjhtmllines"""
+    result = epjviewer.epjhtmllines(epj)
+    expected = 21
+    assert result == expected
+
+
+def test_epobjectslines():
+    """py.test for epobjectslines"""
+    surfs = epj_big.epobjects["BuildingSurface:Detailed"]
+    roofs = [surf for surf in surfs if surf.surface_type == "Roof"]
+    version = epj_big.epobjects["Version"]
+    epobjects = version + roofs
+    result = epjviewer.epobjectslines(epobjects)
+    expected = 19
+    assert result == expected
+
+
+def test_epj2ipythonhtml():
+    """py.test for epj2ipythonhtml"""
+    if JUPYTER:
+        result = epjviewer.epj2ipythonhtml(epj)
+        expected = IFrame
+        assert type(result) == expected  # just ensure that it runs
+    else:
+        with pytest.raises(epjviewer.JupyterNotInstalled):
+            result = epjviewer.epj2ipythonhtml(epj)
+            
+
+
+def test_epobjects2dct():
+    """py.test for epobjects2dct"""
+    epobjects = epj_big.epobjects["Version"]
+    result = epjviewer.epobjects2dct(epobjects)
+    expected = {
+        "Version": {
+            "Version 1": {
+                "idf_max_extensible_fields": 0,
+                "idf_max_fields": 1,
+                "idf_order": 1,
+                "version_identifier": "9.0",
+            }
+        }
+    }
+    assert result == expected
+
+
+def test_epobjects2html():
+    """py.test for epobjects2html"""
+    epobjects = epj_big.epobjects["Version"]
+    result = epjviewer.epobjects2html(epobjects)
+    expected = '<table border="1"><tr><th>Version</th><td><table border="1"><tr><th>Version 1</th><td><table border="1"><tr><th>idf_max_extensible_fields</th><td>0</td></tr><tr><th>idf_max_fields</th><td>1</td></tr><tr><th>idf_order</th><td>1</td></tr><tr><th>version_identifier</th><td>9.0</td></tr></table></td></tr></table></td></tr></table>'
+    assert result == expected
+
+
+def test_epobjects2ipythonhtml():
+    """py.test for epobjects2ipythonhtml"""
+    epobjects = epj_big.epobjects["Version"]
+    if JUPYTER:
+        expected = IFrame
+        result = epjviewer.epobjects2ipythonhtml(epobjects)
+        assert type(result) == expected  # just ensure that it runs
+    else:
+        with pytest.raises(epjviewer.JupyterNotInstalled):
+            result = epjviewer.epobjects2ipythonhtml(epobjects)
+            
+    
diff --git a/tests/test_modelmaker.py b/tests/test_modelmaker.py
index 3064e0d..3be8c8d 100644
--- a/tests/test_modelmaker.py
+++ b/tests/test_modelmaker.py
@@ -83,6 +83,7 @@ def epj_txt1():
 
 def test_EPJ(epj_txt1):
     """py.test for EPJ"""
+    # test without epschema
     txt = epj_txt1
     expected = 15.24
     result = modelmaker.EPJ(epjname=StringIO(txt))
@@ -90,6 +91,7 @@ def test_EPJ(epj_txt1):
     surf = surfs[0]
     assert expected == surf.vertices[0].vertex_x_coordinate
 
+    # test with epschema
     expected = 15.24
     result = modelmaker.EPJ(
         epjname=StringIO(txt), epschemaname=schemafortesting.schema_file
@@ -97,7 +99,8 @@ def test_EPJ(epj_txt1):
     surfs = result.epobjects["BuildingSurface:Detailed"]
     surf = surfs[0]
     assert expected == surf.vertices[0].vertex_x_coordinate
-    # -
+
+    # test jsonstr()
     expected = json.loads(txt)
     epj = modelmaker.EPJ(epjname=StringIO(txt))
     jsonstr = epj.jsonstr()