removed testing notebook,

anticipated removal of pandas requirement,
added pandas and matplotlib to pyinstaller exclusion,
removed unessasary option in build scripts

build/build-CLI.bat

@@ -2,4 +2,4 @@ set pathtospec="../src/cli/superscript.spec"
 set pathtodist="../dist/"
 set pathtowork="temp/"
 
-pyinstaller --onefile --clean --distpath %pathtodist% --workpath %pathtowork% %pathtospec%
+pyinstaller --clean --distpath %pathtodist% --workpath %pathtowork% %pathtospec%

build/build-CLI.sh

@@ -2,4 +2,4 @@ pathtospec="../src/cli/superscript.spec"
 pathtodist="../dist/"
 pathtowork="temp/"
 
-pyinstaller --onefile --clean --distpath ${pathtodist} --workpath ${pathtowork} ${pathtospec}
+pyinstaller --clean --distpath ${pathtodist} --workpath ${pathtowork} ${pathtospec}

src/cli/data.py

@@ -1,5 +1,4 @@
 import requests
-import pandas as pd
 
 def pull_new_tba_matches(apikey, competition, cutoff):
 	api_key= apikey 

src/cli/superscript.spec

@@ -13,7 +13,10 @@ a = Analysis(['superscript.py'],
              ],
              hookspath=[],
              runtime_hooks=[],
-             excludes=[],
+             excludes=[
+                 "matplotlib",
+                 "pandas"
+                 ],
              win_no_prefer_redirects=False,
              win_private_assemblies=False,
              cipher=block_cipher,

src/cli/testing.ipynb

@@ -1,116 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class C1:\n",
-    "\tval = 0\n",
-    "\tdef __init__(self, i):\n",
-    "\t\tself.val = i\n",
-    "\n",
-    "class C2:\n",
-    "\tval = 0\n",
-    "\tdef __init__(self, i):\n",
-    "\t\tself.val = 2*i\n",
-    "\n",
-    "class C3:\n",
-    "\tval = 0\n",
-    "\tdef __init__(self, i):\n",
-    "\t\tself.val = 3*i"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[<__main__.C1 at 0x7fa84827afd0>,\n",
-       " <__main__.C2 at 0x7fa84827ae80>,\n",
-       " <__main__.C3 at 0x7fa8482020d0>]"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "classes = [C1, C2, C3]\n",
-    "initialized = []\n",
-    "for c in classes:\n",
-    "\tinitialized.append(c(10))\n",
-    "initialized"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import module\n",
-    "module_references = {\"match\": module.Match}\n",
-    "module_initialized = []\n",
-    "for m in [\"match\"]:\n",
-    "\tmodule_initialized.append(module_references[m](\"\", \"\", \"\", 0, []))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[<module.Match at 0x7f0e47c45ee0>]"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "module_initialized"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "interpreter": {
-   "hash": "e7370f93d1d0cde622a1f8e1c04877d8463912d04d973331ad4851f04de6915a"
-  },
-  "kernelspec": {
-   "display_name": "Python 3.8.5 64-bit",
-   "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": "3.8.5"
-  },
-  "orig_nbformat": 4
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}

src/requirements.txt

@@ -1,6 +1,5 @@
 requests
 pymongo
-pandas
 tra-analysis
 
 dnspython
@@ -11,7 +10,6 @@ scipy
 scikit-learn
 six
 pyparsing
-pandas
 
 kivy==2.0.0rc2