Delete test_data_mlb.ipynb

test_data_mlb.ipynb

@@ -1,238 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import time\n",
-    "import requests\n",
-    "import pandas as pd\n",
-    "import seaborn as sns\n",
-    "import matplotlib.pyplot as plt\n",
-    "from matplotlib.pyplot import figure\n",
-    "from matplotlib.offsetbox import OffsetImage, AnnotationBbox\n",
-    "from scipy import stats\n",
-    "import matplotlib.lines as mlines\n",
-    "import matplotlib.transforms as mtransforms\n",
-    "import numpy as np\n",
-    "import time\n",
-    "#import plotly.express as px\n",
-    "#!pip install chart_studio\n",
-    "#import chart_studio.tools as tls\n",
-    "from bs4 import BeautifulSoup\n",
-    "import matplotlib.pyplot as plt\n",
-    "import numpy as np\n",
-    "import matplotlib.font_manager as font_manager\n",
-    "from datetime import datetime\n",
-    "import pytz\n",
-    "from matplotlib.ticker import MaxNLocator\n",
-    "from matplotlib.patches import Ellipse\n",
-    "import matplotlib.transforms as transforms\n",
-    "from matplotlib.gridspec import GridSpec\n",
-    "from datasets import load_dataset"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Starting Everything:\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Found cached dataset csv (C:/Users/thoma/.cache/huggingface/datasets/nesticot___csv/nesticot--mlb_data-a391519415fcbccf/0.0.0/6954658bab30a358235fa864b05cf819af0e179325c740e4bc853bcc7ec513e1)\n",
-      "100%|██████████| 1/1 [00:00<00:00,  2.02it/s]\n"
-     ]
-    }
-   ],
-   "source": [
-    "\n",
-    "colour_palette = ['#FFB000','#648FFF','#785EF0',\n",
-    "                  '#DC267F','#FE6100','#3D1EB2','#894D80','#16AA02','#B5592B','#A3C1ED']\n",
-    "\n",
-    "print('Starting Everything:')\n",
-    "# exit_velo_df = milb_a_ev_df.append([triple_a_ev_df,double_a_ev_df,a_high_a_ev_df,single_a_ev_df]).reset_index(drop=True)\n",
-    "# player_df_all = mlb_a_player_df.append([triple_a_player_df,double_a_player_df,a_high_a_player_df,single_a_player_df]).reset_index(drop=True)\n",
-    "# exit_velo_df = pd.read_csv('exit_velo_df_all.csv',index_col=[0])\n",
-    "# player_df_all = pd.read_csv('player_df_all.csv',index_col=[0])\n",
-    "\n",
-    "# pa_df = pd.read_csv('pa_df_all.csv',index_col=[0])\n",
-    "# pa_df_full_na = pa_df.dropna()\n",
-    "\n",
-    "### Import Datasets\n",
-    "dataset = load_dataset('nesticot/mlb_data', data_files=['a_pitch_data_2023.csv',\n",
-    "                                                         ])\n",
-    "dataset_train = dataset['train']\n",
-    "exit_velo_df = dataset_train.to_pandas().set_index(list(dataset_train.features.keys())[0]).reset_index(drop=True)\n",
-    "colour_palette = ['#FFB000','#648FFF','#785EF0',\n",
-    "                  '#DC267F','#FE6100','#3D1EB2','#894D80','#16AA02','#B5592B','#A3C1ED']\n",
-    "\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0         True\n",
-       "1         True\n",
-       "2         True\n",
-       "3         True\n",
-       "4         True\n",
-       "          ... \n",
-       "575260    True\n",
-       "575261    True\n",
-       "575262    True\n",
-       "575263    True\n",
-       "575264    True\n",
-       "Name: is_pitch, Length: 575265, dtype: bool"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "exit_velo_df['is_pitch']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "tl_df = exit_velo_df[exit_velo_df['batter_id'] == 699073].groupby(['batter_id','batter_name','batter_hand']).agg(\n",
-    "    pitches = ('is_pitch','sum'),\n",
-    "    swings = ('is_swing','sum'),\n",
-    "    whiffs = ('is_whiff','sum')\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "tl_df['whiff_rate'] = tl_df['whiffs'] / tl_df['swings']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>pitches</th>\n",
-       "      <th>swings</th>\n",
-       "      <th>whiffs</th>\n",
-       "      <th>whiff_rate</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>batter_id</th>\n",
-       "      <th>batter_name</th>\n",
-       "      <th>batter_hand</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">699073</th>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Thayron Liranzo</th>\n",
-       "      <th>L</th>\n",
-       "      <td>1344</td>\n",
-       "      <td>554</td>\n",
-       "      <td>189</td>\n",
-       "      <td>0.341155</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>R</th>\n",
-       "      <td>343</td>\n",
-       "      <td>160</td>\n",
-       "      <td>60</td>\n",
-       "      <td>0.375</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                       pitches swings whiffs whiff_rate\n",
-       "batter_id batter_name     batter_hand                                  \n",
-       "699073    Thayron Liranzo L               1344    554    189   0.341155\n",
-       "                          R                343    160     60      0.375"
-      ]
-     },
-     "execution_count": 20,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "tl_df"
-   ]
-  }
- ],
- "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": "3.9.13"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}