Duplicate from nesticot/mlb_csw_whiff_rolling_2

Co-authored-by: Thomas Nestico <nesticot@users.noreply.huggingface.co>

.gitattributes

@@ -0,0 +1,36 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+exit_velo_df.csv filter=lfs diff=lfs merge=lfs -text
+README.md filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -0,0 +1,4 @@
+
+.venv/
+__pycache__
+.DS_Store

.vscode/settings.json

@@ -0,0 +1,6 @@
+{
+    "[python]": {
+        "editor.defaultFormatter": "ms-python.black-formatter"
+    },
+    "python.formatting.provider": "none"
+}

Dockerfile

@@ -0,0 +1,13 @@
+FROM python:3.9
+
+WORKDIR /code
+
+COPY ./requirements.txt /code/requirements.txt
+
+RUN pip install -r requirements.txt
+
+COPY . .
+
+EXPOSE 7860
+
+CMD ["shiny", "run", "app.py", "--host", "0.0.0.0", "--port", "7860"]

README.md

@@ -0,0 +1,12 @@
+---
+title: MLB CSW And Whiff
+emoji: ⚾
+colorFrom: yellow
+colorTo: indigo
+sdk: docker
+pinned: false
+license: mit
+duplicated_from: nesticot/mlb_csw_whiff_rolling_2
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,363 @@
+import pandas as pd
+import numpy as np
+import matplotlib.pyplot as plt
+import seaborn as sns
+import math
+import matplotlib.ticker as mtick
+from  matplotlib.ticker import FuncFormatter
+
+# stuff_df = pd.read_html('https://www.fangraphs.com/leaders.aspx?pos=all&stats=pit&lg=all&qual=0&type=36&season=2023&month=0&season1=2023&ind=0&team=0&rost=0&age=0&filter=&players=0&startdate=2023-01-01&enddate=2023-12-31&page=1_5000')[5]#.droplevel(1)
+# stuff_df.columns = stuff_df.columns.droplevel(0)
+# stuff_df = stuff_df.iloc[:-1]
+# stuff_df = stuff_df[stuff_df.columns[1:]]
+# stuff_df.columns = [x.replace('Stf+ ','') for x in stuff_df.columns]
+# stuff_df = stuff_df.rename(columns = {'FA':'FF'})
+# stuff_df['ST'] = stuff_df.SL
+# stuff_df_melt = stuff_df.melt(id_vars=['Name','Team','IP']).dropna().sort_values(by='IP',ascending=False).reset_index(drop=True)
+stuff_df_melt = pd.read_csv('stuff_df_melt.csv',index_col=[0])
+
+exit_velo_df = pd.read_csv('exit_velo_df.csv',index_col=[0])
+
+
+swing_codes = ['Swinging Strike', 'In play, no out', 
+        'Foul', 'In play, out(s)', 
+       'In play, run(s)', 'Swinging Strike (Blocked)',
+       'Foul Bunt','Foul Tip', 'Missed Bunt','Foul Pitchout','Swinging Pitchout']
+
+swings_in = ['Swinging Strike', 'In play, no out', 
+        'Foul', 'In play, out(s)', 
+       'In play, run(s)', 'Swinging Strike (Blocked)',
+       'Foul Bunt','Foul Tip', 'Missed Bunt','Foul Pitchout','Swinging Pitchout']       
+
+swing_strike_codes = ['Swinging Strike',
+ 'Swinging Strike (Blocked)','Missed Bunt','Foul Tip','Swinging Pitchout']
+
+
+contact_codes = ['In play, no out', 
+        'Foul', 'In play, out(s)', 
+       'In play, run(s)', 
+       'Foul Bunt']
+
+codes_in = ['In play, out(s)',
+'Swinging Strike',
+'Ball',
+'Foul',
+'In play, no out',
+'Called Strike',
+'Foul Tip',
+'In play, run(s)',
+'Hit By Pitch',
+'Ball In Dirt',
+'Pitchout',
+'Swinging Strike (Blocked)',
+'Foul Bunt',
+'Missed Bunt',
+'Foul Pitchout',
+'Intent Ball',
+'Swinging Pitchout']
+
+
+exit_velo_df = exit_velo_df[exit_velo_df['description'].isin(codes_in)]
+exit_velo_df['pitch'] = exit_velo_df.groupby('pitcher_id').cumcount() + 1
+
+exit_velo_df['pitch_type_count'] = exit_velo_df.groupby(['pitcher_id','pitch_type']).cumcount() + 1
+
+exit_velo_df = exit_velo_df[['game_id','date','pitcher_id','pitcher','pitch_code','pitch_type','pitch_velocity','code','description','pitch','pitch_type_count']]
+#print(exit_velo_df.head())
+print('we made it',len(exit_velo_df))
+exit_velo_df['pitches'] = 1
+exit_velo_df['whiffs'] = [1 if ((x == 'S')|(x == 'W')|(x =='T')) else 0 for x in exit_velo_df.code]
+exit_velo_df['csw'] = [1 if ((x == 'S')|(x == 'W')|(x =='T')|(x == 'C')) else 0 for x in exit_velo_df.code]
+exit_velo_df['swings'] = [1 if x in swings_in else 0 for x in exit_velo_df.description]
+#print(exit_velo_df['swings'])
+# exit_velo_df['swings_type_count'] = exit_velo_df.groupby(['pitcher_id','pitch_type','swings']).cumcount() + 1
+# print(exit_velo_df['swings_type_count'])
+import difflib #stuff_df_melt
+eno_name_list = exit_velo_df.drop_duplicates(subset='pitcher_id')['pitcher'].apply(lambda x: (difflib.get_close_matches(x,stuff_df_melt.drop_duplicates(subset='Name').reset_index(drop=True).Name)[:1] or [None])[0]).reset_index(drop=True)
+df_eno_exit_name = pd.DataFrame(data={'pitcher':exit_velo_df.drop_duplicates(subset='pitcher_id')['pitcher'].reset_index(drop=True),'eno_name':eno_name_list})
+exit_velo_df = exit_velo_df.merge(right=df_eno_exit_name,left_on='pitcher',right_on='pitcher',how='left').merge(right=stuff_df_melt,left_on=['eno_name','pitch_type'],right_on=['Name','variable'],how='left')
+print('we made it',len(exit_velo_df))
+
+
+test_df = exit_velo_df.sort_values(by='pitcher').drop_duplicates(subset='pitcher_id').reset_index(drop=True)[['pitcher_id','pitcher']]#['pitcher'].to_dict()
+test_df = test_df.set_index('pitcher_id')
+
+#test_df =  test_df[test_df.pitcher == 'Chris Bassitt'].append(test_df[test_df.pitcher != 'Chris Bassitt'])
+
+pitcher_dict = test_df['pitcher'].to_dict()
+
+colour_palette = ['#FFB000','#648FFF','#785EF0',
+                  '#DC267F','#FE6100','#3D1EB2','#894D80','#16AA02','#B5592B','#A3C1ED']
+
+#print
+
+from shiny import ui, render, App
+import matplotlib.image as mpimg
+app_ui = ui.page_fluid(
+
+    # ui.output_plot("plot"),
+    ui.h2('MLB Pitcher Rolling CSW% and Whiff%'),
+    ui.row(
+        ui.column(
+            2,
+            ui.row(ui.h6('Created by: @TJStats')),
+            ui.row(ui.h6('Data: MLB, Eno Sarris')),
+            ui.row(ui.input_select("id", "Select Pitcher",pitcher_dict))
+            ),
+        ui.column(
+            1,
+            ui.output_plot("plot3",height = "125px",width="100px"),offset=0),
+        ui.column(
+            3,
+            ui.input_slider("n", "Pitch Rolling Window Size", 0, 100, 10),offset=1),
+        ui.column(
+            3,
+            ui.input_slider("swing", "Swing Rolling Window Size", 0, 50, 5),offset=1),
+        ),
+        
+
+    # ui.layout_sidebar(
+    #     ui.panel_sidebar((ui.input_select("id", "Select Pitcher",pitcher_dict)), width = 2),
+    #     ui.panel_main(ui.input_slider("n", "Rolling Window Size", 0, 100, 10), width = 10)),
+    ui.row(
+        ui.column(
+            6,
+            ui.output_plot("plot2",height = "225px",width="900px"),offset=0),
+        ui.column(
+            6,
+            ui.output_plot("plotwhiff",height = "225px",width="900px"),offset=0),
+        ),
+
+
+    
+
+
+    # ui.layout_sidebar(ui.panel_sidebar((ui.input_select("id", "Select Pitcher",pitcher_dict))),
+    # ui.panel_main(ui.output_plot("plot3",height = "250px",width="250px"))),
+    # #ui.input_slider("n", "Rolling Window Size", 0, 100, 10),
+    # ui.layout_sidebar(
+    # ui.panel_sidebar(ui.input_slider("n", "Rolling Window Size", 0, 100, 10)),
+
+    
+
+
+    #ui.input_slider("n", "Number of bins", 0, 10, 1),
+    #ui.output_text("value"),
+    ui.h4('Rolling CSW% and Whiff% by Pitch Type'),
+    ui.output_plot("plot",height = "400px"),
+    #ui.download_button('test','Download'),
+    
+)
+
+from urllib.request import Request, urlopen
+# importing OpenCV(cv2) module
+
+#print(app_ui)
+def server(input, output, session):
+    #@output
+    # @render.text
+    # def txt():
+    #     return f'pitcher_id: "{input.pitcher_id()}"'
+
+
+    
+    @output
+    @render.plot(alt='hist')
+    def plot3():
+        #fig, ax = plt.subplots(1, 1, figsize=(10, 4))
+        #img = mpimg.imread('players/'+name+'_'+str(last_games)+' int.png')
+
+        fig, ax = plt.subplots(figsize=(2,3))
+        fig.set_facecolor('#f7f7f7')
+
+        # img = mpimg.imread('players/'+name+'_'+str(last_games)+'.png')
+        # ax.imshow(img)
+        # ax.axis('off')
+        # fig.tight_layout()
+
+        #ax.axis('off')
+        # with fp:
+        #     img = mpimg.imread(fp, format='jpeg')
+
+        ax.axis('off')
+        im = plt.imread(f'https://img.mlbstatic.com/mlb-photos/image/upload/d_people:generic:headshot:67:current.png/w_213,q_auto:best/v1/people/{exit_velo_df[exit_velo_df.pitcher_id==int(input.id())].reset_index(drop=True).pitcher_id[0]}/headshot/67/current.png')
+        # ax = fig.add_axes([0,0,1,0.85], anchor='C', zorder=1)
+        ax.imshow(im)
+        ax.axis('off')
+
+
+    @output
+    @render.plot(alt='hist')
+    def plot2():
+        exit_velo_df_small = exit_velo_df[exit_velo_df.pitcher_id==int(input.id())]
+        fig, ax = plt.subplots(1, 1, figsize=(10, 4))
+        sns.set_theme(style="whitegrid", palette="pastel")
+        ax.hlines(exit_velo_df_small['csw'].sum()/exit_velo_df_small['pitches'].sum(),xmin=input.n(),
+                    xmax=exit_velo_df_small.pitch.max(),
+                    label='Pitcher Average ('+"{:.1%}".format(exit_velo_df_small['csw'].sum()/exit_velo_df_small['pitches'].sum())+')',color='black',linestyles='-.',alpha=0.4)
+        ax.hlines(exit_velo_df.csw.sum()/exit_velo_df.pitches.sum(),xmin=input.n(),xmax=exit_velo_df_small.pitch.max(),
+                    label='League Average ('+"{:.1%}".format(exit_velo_df.csw.sum()/exit_velo_df.pitches.sum())+')',color='r',linestyles='--',alpha=0.6)
+        
+        #exit_velo_df_small_pitch.pitch_type_count,y=exit_velo_df_small_pitch.rolling(input.n()).sum()['csw']/exit_velo_df_small.rolling(input.n()).sum()['pitches']
+        sns.lineplot(x=exit_velo_df_small.pitch,y=exit_velo_df_small.rolling(input.n(),min_periods=input.n()).sum()['csw']/exit_velo_df_small.rolling(input.n(),min_periods=input.n()).sum()['pitches'],linewidth = 2,ax=ax,color=colour_palette[0])
+        ax.set_xlim(input.n(),exit_velo_df_small.pitch.max())
+        plt.yticks([0,0.2,0.4,0.6,0.8,1])
+        ax.set_ylim(0,1)
+        ax.legend(fontsize=8)
+        vals = ax.get_yticks()
+        ax.set_xlabel('Pitch', fontsize=10,fontname='Century Gothic')
+        ax.set_ylabel('CSW%', fontsize=10,fontname='Century Gothic')
+        ax.set_yticklabels(['{:,.0%}'.format(x) for x in vals])
+        #fig.subplots_adjust(wspace=.02, hspace=.02)
+        ax.xaxis.set_major_formatter(FuncFormatter(lambda x, _: int(x)))
+        fig.set_facecolor('white')
+        fig.tight_layout()
+
+    @output
+    @render.plot(alt='hist')
+    def plotwhiff():
+        exit_velo_df_small = exit_velo_df[exit_velo_df.pitcher_id==int(input.id())]
+        print(exit_velo_df_small)
+        exit_velo_df_small_swing = exit_velo_df_small[exit_velo_df_small.swings == 1]
+        print(exit_velo_df_small_swing.reset_index())
+        exit_velo_df_small_swing['whiff_count'] = exit_velo_df_small_swing.groupby('pitcher_id').cumcount()+1
+        print(exit_velo_df_small_swing.whiff_count)
+
+        fig, ax = plt.subplots(1, 1, figsize=(10, 4))
+        sns.set_theme(style="whitegrid", palette="pastel")
+        ax.hlines(exit_velo_df_small_swing['whiffs'].sum()/exit_velo_df_small_swing['swings'].sum(),xmin=input.swing(),
+                    xmax=exit_velo_df_small_swing.whiff_count.max(),
+                    label='Pitcher Average ('+"{:.1%}".format(exit_velo_df_small_swing['whiffs'].sum()/exit_velo_df_small_swing['swings'].sum())+')',color='black',linestyles='-.',alpha=0.4)
+        ax.hlines(exit_velo_df.whiffs.sum()/exit_velo_df.swings.sum(),xmin=input.swing(),xmax=exit_velo_df_small_swing.whiff_count.max(),
+                    label='League Average ('+"{:.1%}".format(exit_velo_df.whiffs.sum()/exit_velo_df.swings.sum())+')',color='r',linestyles='--',alpha=0.6)
+        
+        #exit_velo_df_small_pitch.pitch_type_count,y=exit_velo_df_small_pitch.rolling(input.n()).sum()['csw']/exit_velo_df_small.rolling(input.n()).sum()['pitches']
+        sns.lineplot(x=exit_velo_df_small_swing.whiff_count,y=exit_velo_df_small_swing.rolling(input.swing()).sum()['whiffs']/exit_velo_df_small_swing.rolling(input.swing()).sum()['swings'],linewidth = 2,ax=ax,color=colour_palette[1])
+        ax.set_xlim(input.swing(),exit_velo_df_small_swing.whiff_count.max())
+        plt.yticks([0,0.2,0.4,0.6,0.8,1])
+        ax.set_ylim(0,1)
+        ax.legend(fontsize=8)
+        vals = ax.get_yticks()
+        ax.set_xlabel('Swings', fontsize=10,fontname='Century Gothic')
+        ax.set_ylabel('Whiff%', fontsize=10,fontname='Century Gothic')
+        ax.set_yticklabels(['{:,.0%}'.format(x) for x in vals])
+        #fig.subplots_adjust(wspace=.02, hspace=.02)
+        ax.xaxis.set_major_formatter(FuncFormatter(lambda x, _: int(x)))
+        fig.set_facecolor('white')
+        fig.tight_layout()
+
+
+    
+    @output
+    @render.plot(alt="A histogram")
+    def plot():
+        # np.random.seed(19680801)
+        # x = 100 + 15 * np.random.randn(437)
+        # fig, ax = plt.subplots()
+        # ax.hist(x, input.n(), density=True)
+        # return fig
+        
+        
+
+        # penguins = sns.load_dataset("penguins")
+        # sns.histplot(data=penguins, x="flipper_length_mm")
+        exit_velo_df_small = exit_velo_df[exit_velo_df.pitcher_id==int(input.id())]
+        #pitch_list = exit_velo_df_small.pitch_type.unique()
+        
+        pitch_list_df = (exit_velo_df_small.groupby(['pitch_type','pitch_code'])[['pitch_type']].count() / exit_velo_df_small['pitch_type'].count())#.sort_values(by='pitch_type',ascending=False)
+        pitch_list_df.columns = ['porp']
+        pitch_list_df = pitch_list_df.sort_values(by='porp',ascending=False).reset_index()
+        pitch_list_df = pitch_list_df[pitch_list_df.porp >= 0.05]
+        #print(pitch_list_df)
+
+        #fig, ax = plt.subplots(math.ceiling(len(pitch_list))/2, 2, figsize=(10, 4*len(pitch_list)))
+        
+        fig = plt.figure(figsize=(20,20))
+        #fig = px.line(exit_velo_df_small, x=exit_velo_df_small.pitch, y=exit_velo_df_small.rolling(50).sum()['csw']/exit_velo_df_small.rolling(50).sum()['pitches'])
+        #sns.lineplot(x=exit_velo_df_small.pitch,y=exit_velo_df_small.rolling(input.n()).sum()['csw']/exit_velo_df_small.rolling(input.n()).sum()['pitches'],color='#648FFF',linewidth = 2,label='csw%')
+        
+        for i in range(0,len(pitch_list_df)):
+            exit_velo_df_small_pitch = exit_velo_df_small[exit_velo_df_small.pitch_type==pitch_list_df.pitch_type[i]]
+            sns.set_theme(style="whitegrid", palette="pastel")
+            ax = plt.subplot(2,len(pitch_list_df),i+1)
+            ax.hlines(exit_velo_df_small_pitch['csw'].sum()/exit_velo_df_small_pitch['pitches'].sum(),xmin=input.n(),
+                      xmax=exit_velo_df_small.pitch_type_count.max(),
+                      label='Pitcher Average ('+"{:.1%}".format(exit_velo_df_small_pitch['csw'].sum()/exit_velo_df_small_pitch['pitches'].sum())+')',color='black',linestyles='-.',alpha=0.4)
+            ax.hlines(exit_velo_df[exit_velo_df.pitch_type==pitch_list_df.pitch_type[i]].csw.sum()/exit_velo_df[exit_velo_df.pitch_type==pitch_list_df.pitch_type[i]].pitches.sum(),xmin=input.n(),xmax=exit_velo_df_small.pitch_type_count.max(),
+                      label='League Average ('+"{:.1%}".format(exit_velo_df[exit_velo_df.pitch_type==pitch_list_df.pitch_type[i]].csw.sum()/exit_velo_df[exit_velo_df.pitch_type==pitch_list_df.pitch_type[i]].pitches.sum())+')',color='r',linestyles='--',alpha=0.6)
+           
+            sns.lineplot(x=exit_velo_df_small_pitch.pitch_type_count,y=exit_velo_df_small_pitch.rolling(input.n()).sum()['csw']/exit_velo_df_small_pitch.rolling(input.n()).sum()['pitches'],linewidth = 2,ax=ax,color=colour_palette[i])
+            
+            #print("{:.1%}".format(exit_velo_df_small_pitch['csw'].sum()/exit_velo_df_small_pitch['pitches'].sum()))
+            #sns.despine()
+            ax.set_xlabel("Pitches", fontsize=10,fontname='Century Gothic')
+            # print(exit_velo_df_small)
+            # #print(pitch_list_df)
+            # print(exit_velo_df_small[exit_velo_df_small.pitch_type=='SL'])#.value.max())
+            
+            # if pitch_list_df.pitch_type[i]== 'ST':
+            #     ax.set_title(pitch_list_df.pitch_code[i] +' - '+ pitch_list_df.pitch_type[i] +' ('+"{:.1%}".format((pitch_list_df.porp[i]))+') - '+str((exit_velo_df_small[exit_velo_df_small.pitch_type=='SL'].value.max()))+' Stuff+', fontsize=11,fontname='Century Gothic',weight='bold')
+            # else:
+            ax.set_title(pitch_list_df.pitch_code[i] +' - '+ pitch_list_df.pitch_type[i] +' ('+"{:.1%}".format((pitch_list_df.porp[i]))+') - '+str(exit_velo_df_small_pitch.value.max())+' Stuff+', fontsize=11,fontname='Century Gothic',weight='bold')
+            ax.set_ylabel('CSW%', fontsize=10,fontname='Century Gothic')
+            if i ==0:    
+                ax.legend()
+            ax.set_xlim(input.n(),exit_velo_df_small.pitch_type_count.max())
+            plt.yticks([0,0.2,0.4,0.6,0.8,1])
+            ax.set_ylim(0,1)
+            vals = ax.get_yticks()
+            ax.set_yticklabels(['{:,.0%}'.format(x) for x in vals])
+            ax.xaxis.set_major_formatter(FuncFormatter(lambda x, _: int(x)))
+            ax.legend(fontsize=8)
+            #whiffs
+
+            #exit_velo_df_small_pitch
+            #exit_velo_df_small = exit_velo_df_small_pitch[exit_velo_df_small_pitch.pitcher_id==int(input.id())]
+            #print(exit_velo_df_small)
+            exit_velo_df_small_swing = exit_velo_df_small_pitch[exit_velo_df_small_pitch.swings == 1]
+            #print(exit_velo_df_small_swing.reset_index())
+            exit_velo_df_small_swing['whiff_count'] = exit_velo_df_small_swing.groupby('pitcher_id').cumcount()+1
+           # print(exit_velo_df_small_swing.whiff_count)
+
+            ax = plt.subplot(2,len(pitch_list_df),i+1+len(pitch_list_df))
+            ax.hlines(exit_velo_df_small_swing['whiffs'].sum()/exit_velo_df_small_swing['swings'].sum(),xmin=input.swing(),
+                      xmax=exit_velo_df_small.pitch_type_count.max(),
+                      label='Pitcher Average ('+"{:.1%}".format(exit_velo_df_small_swing['whiffs'].sum()/exit_velo_df_small_swing['swings'].sum())+')',color='black',linestyles='-.',alpha=0.4)
+            ax.hlines(exit_velo_df[exit_velo_df.pitch_type==pitch_list_df.pitch_type[i]].whiffs.sum()/exit_velo_df[exit_velo_df.pitch_type==pitch_list_df.pitch_type[i]].swings.sum(),xmin=input.swing(),xmax=exit_velo_df_small.pitch_type_count.max(),
+                      label='League Average ('+"{:.1%}".format(exit_velo_df[exit_velo_df.pitch_type==pitch_list_df.pitch_type[i]].whiffs.sum()/exit_velo_df[exit_velo_df.pitch_type==pitch_list_df.pitch_type[i]].swings.sum())+')',color='r',linestyles='--',alpha=0.6)
+           
+            sns.lineplot(x=exit_velo_df_small_swing.whiff_count,y=exit_velo_df_small_swing.rolling(input.swing()).sum()['whiffs']/exit_velo_df_small_swing.rolling(input.swing()).sum()['swings'],linewidth = 2,ax=ax,color=colour_palette[i])
+            
+            #print("{:.1%}".format(exit_velo_df_small_pitch['whiffs'].sum()/exit_velo_df_small_pitch['swings'].sum()))
+            #sns.despine()
+            ax.set_xlabel("Swings", fontsize=10,fontname='Century Gothic')
+            ax.set_ylabel('Whiff%', fontsize=10,fontname='Century Gothic')
+            if i ==0:    
+                ax.legend()
+                max_whiff = exit_velo_df_small_swing.whiff_count.max()
+            ax.set_xlim(input.swing(),max_whiff)
+            plt.yticks([0,0.2,0.4,0.6,0.8,1])
+            ax.set_ylim(0,1)
+            vals = ax.get_yticks()
+            ax.set_yticklabels(['{:,.0%}'.format(x) for x in vals])
+            ax.xaxis.set_major_formatter(FuncFormatter(lambda x, _: int(x)))
+            ax.legend(fontsize=8)
+
+            # ax.set_xlim(input.n(),exit_velo_df_small.pitch.max())
+            #ax.axis('off')
+        
+        fig.set_facecolor('white')
+        fig.tight_layout()
+        #ax.hist(exit_velo_df[exit_velo_df.pitcher_id==int(input.id())]['pitch_velocity'],input.n(),density=True)
+        #plt.show()
+        #return g 
+
+# This is a shiny.App object. It must be named `app`.
+
+# fig, ax = plt.subplots()
+#print(input.pitcher_id())
+# print(input)
+# plt.hist(x=exit_velo_df[exit_velo_df.pitcher_id==input.x()]['pitch_velocity'])
+# plt.show()
+
+app = App(app_ui, server)

colors.py

@@ -0,0 +1,21 @@
+from typing import Dict, Tuple
+
+import matplotlib.colors as mpl_colors
+import seaborn as sns  # type: ignore
+
+# "darkorange", "purple", "cyan4"
+colors = [[255, 140, 0], [160, 32, 240], [0, 139, 139]]
+colors = [(r / 255.0, g / 255.0, b / 255.0) for r, g, b in colors]
+
+palette: Dict[str, Tuple[float, float, float]] = {
+    "Adelie": colors[0],
+    "Chinstrap": colors[1],
+    "Gentoo": colors[2],
+    "default": sns.color_palette()[0],  # type: ignore
+}
+
+bg_palette = {}
+# Use `sns.set_style("whitegrid")` to help find approx alpha value
+for name, col in palette.items():
+    # Adjusted n_colors until `axe` accessibility did not complain about color contrast
+    bg_palette[name] = mpl_colors.to_hex(sns.light_palette(col, n_colors=7)[1])  # type: ignore

exit_velo_df.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f6d470acb5c1e4da1f3d404f4a5b37f7bb72feb618b2ce9e94fde1a3829488cb
+size 80677575

player_df_all.csv

@@ -0,0 +1,1134 @@
+,player_id,team_id,abbreviation
+0,664314.0,147.0,NYY
+1,649966.0,158.0,MIL
+2,592662.0,136.0,SEA
+3,456501.0,146.0,MIA
+4,689167.0,146.0,MIA
+5,642121.0,109.0,AZ
+6,669270.0,113.0,CIN
+7,669742.0,143.0,PHI
+8,642528.0,147.0,NYY
+9,553882.0,121.0,NYM
+10,640457.0,116.0,DET
+11,621311.0,135.0,SD
+12,547379.0,137.0,SF
+13,676050.0,138.0,STL
+14,605540.0,158.0,MIL
+15,641447.0,146.0,MIA
+16,594807.0,111.0,BOS
+17,665833.0,134.0,PIT
+18,666159.0,116.0,DET
+19,642578.0,136.0,SEA
+20,672841.0,109.0,AZ
+21,676083.0,158.0,MIL
+22,621532.0,110.0,BAL
+23,677161.0,111.0,BOS
+24,669395.0,118.0,KC
+25,621368.0,140.0,TEX
+26,605155.0,147.0,NYY
+27,596847.0,134.0,PIT
+28,682051.0,116.0,DET
+29,668952.0,116.0,DET
+30,656818.0,113.0,CIN
+31,605488.0,139.0,TB
+32,664058.0,108.0,LAA
+33,543548.0,136.0,SEA
+34,686842.0,143.0,PHI
+35,663460.0,118.0,KC
+36,607188.0,111.0,BOS
+37,656669.0,141.0,TOR
+38,657093.0,110.0,BAL
+39,641796.0,121.0,NYM
+40,666204.0,133.0,OAK
+41,669134.0,135.0,SD
+42,607461.0,137.0,SF
+43,622259.0,116.0,DET
+44,670810.0,110.0,BAL
+45,622503.0,135.0,SD
+46,669003.0,158.0,MIL
+47,669432.0,146.0,MIA
+48,518516.0,109.0,AZ
+49,681351.0,108.0,LAA
+50,675627.0,119.0,LAD
+51,596082.0,119.0,LAD
+52,663753.0,135.0,SD
+53,669450.0,136.0,SEA
+54,680573.0,142.0,MIN
+55,670955.0,121.0,NYM
+56,671218.0,137.0,SF
+57,660431.0,139.0,TB
+58,640444.0,134.0,PIT
+59,613564.0,113.0,CIN
+60,456713.0,158.0,MIL
+61,681810.0,108.0,LAA
+62,644374.0,111.0,BOS
+63,660644.0,139.0,TB
+64,543594.0,146.0,MIA
+65,642201.0,144.0,ATL
+66,669711.0,147.0,NYY
+67,570632.0,115.0,COL
+68,663455.0,114.0,CLE
+69,656578.0,119.0,LAD
+70,675986.0,134.0,PIT
+71,592390.0,139.0,TB
+72,592222.0,158.0,MIL
+73,621383.0,145.0,CWS
+74,608566.0,115.0,COL
+75,687396.0,142.0,MIN
+76,628317.0,142.0,MIN
+77,669256.0,144.0,ATL
+78,663897.0,119.0,LAD
+79,543482.0,134.0,PIT
+80,663385.0,133.0,OAK
+81,681481.0,116.0,DET
+82,541645.0,146.0,MIA
+83,650895.0,136.0,SEA
+84,660593.0,121.0,NYM
+85,676130.0,121.0,NYM
+86,594798.0,140.0,TEX
+87,665506.0,143.0,PHI
+88,650671.0,108.0,LAA
+89,621389.0,115.0,COL
+90,642180.0,133.0,OAK
+91,607455.0,120.0,WSH
+92,641816.0,142.0,MIN
+93,668834.0,136.0,SEA
+94,672391.0,111.0,BOS
+95,663562.0,115.0,COL
+96,650619.0,114.0,CLE
+97,600303.0,136.0,SEA
+98,614177.0,118.0,KC
+99,693049.0,145.0,CWS
+100,663368.0,158.0,MIL
+101,678061.0,135.0,SD
+102,668868.0,138.0,STL
+103,664353.0,117.0,HOU
+104,501303.0,144.0,ATL
+105,621366.0,112.0,CHC
+106,663546.0,137.0,SF
+107,677651.0,117.0,HOU
+108,595909.0,143.0,PHI
+109,629498.0,146.0,MIA
+110,669023.0,120.0,WSH
+111,676265.0,120.0,WSH
+112,573204.0,142.0,MIN
+113,656981.0,109.0,AZ
+114,668843.0,133.0,OAK
+115,595928.0,121.0,NYM
+116,669105.0,121.0,NYM
+117,657140.0,144.0,ATL
+118,656970.0,146.0,MIA
+119,668676.0,114.0,CLE
+120,682171.0,136.0,SEA
+121,544727.0,133.0,OAK
+122,642758.0,133.0,OAK
+123,670124.0,133.0,OAK
+124,641933.0,138.0,STL
+125,663765.0,138.0,STL
+126,680735.0,118.0,KC
+127,664728.0,118.0,KC
+128,671111.0,145.0,CWS
+129,661531.0,115.0,COL
+130,602074.0,115.0,COL
+131,647315.0,141.0,TOR
+132,608703.0,113.0,CIN
+133,672724.0,147.0,NYY
+134,680739.0,142.0,MIN
+135,660757.0,114.0,CLE
+136,608331.0,144.0,ATL
+137,670871.0,138.0,STL
+138,600301.0,138.0,STL
+139,605513.0,116.0,DET
+140,571740.0,145.0,CWS
+141,669169.0,118.0,KC
+142,624414.0,111.0,BOS
+143,687093.0,144.0,ATL
+144,644433.0,144.0,ATL
+145,621237.0,143.0,PHI
+146,642231.0,121.0,NYM
+147,664076.0,139.0,TB
+148,695243.0,133.0,OAK
+149,642232.0,118.0,KC
+150,676369.0,112.0,CHC
+151,660761.0,108.0,LAA
+152,645302.0,120.0,WSH
+153,676625.0,117.0,HOU
+154,665665.0,113.0,CIN
+155,570666.0,113.0,CIN
+156,608328.0,134.0,PIT
+157,620443.0,110.0,BAL
+158,668941.0,138.0,STL
+159,656986.0,158.0,MIL
+160,491624.0,108.0,LAA
+161,573009.0,109.0,AZ
+162,670276.0,137.0,SF
+163,665804.0,112.0,CHC
+164,669304.0,142.0,MIN
+165,517008.0,145.0,CWS
+166,683232.0,115.0,COL
+167,622608.0,115.0,COL
+168,670329.0,133.0,OAK
+169,683737.0,119.0,LAD
+170,453178.0,140.0,TEX
+171,592346.0,146.0,MIA
+172,571875.0,108.0,LAA
+173,680723.0,110.0,BAL
+174,672820.0,145.0,CWS
+175,656876.0,139.0,TB
+176,686972.0,137.0,SF
+177,640462.0,146.0,MIA
+178,664192.0,121.0,NYM
+179,666915.0,111.0,BOS
+180,656814.0,143.0,PHI
+181,592626.0,137.0,SF
+182,607359.0,133.0,OAK
+183,642770.0,139.0,TB
+184,668984.0,113.0,CIN
+185,666157.0,113.0,CIN
+186,665862.0,146.0,MIA
+187,502202.0,112.0,CHC
+188,642701.0,121.0,NYM
+189,675656.0,133.0,OAK
+190,543685.0,108.0,LAA
+191,572193.0,108.0,LAA
+192,663989.0,110.0,BAL
+193,656024.0,145.0,CWS
+194,663372.0,115.0,COL
+195,608360.0,108.0,LAA
+196,669065.0,110.0,BAL
+197,676726.0,139.0,TB
+198,660896.0,142.0,MIN
+199,656820.0,145.0,CWS
+200,572228.0,158.0,MIL
+201,543068.0,115.0,COL
+202,666720.0,140.0,TEX
+203,594943.0,133.0,OAK
+204,666185.0,138.0,STL
+205,518489.0,111.0,BOS
+206,656849.0,121.0,NYM
+207,543351.0,141.0,TOR
+208,670167.0,111.0,BOS
+209,681402.0,158.0,MIL
+210,664849.0,144.0,ATL
+211,641745.0,118.0,KC
+212,663559.0,143.0,PHI
+213,641656.0,147.0,NYY
+214,630023.0,139.0,TB
+215,641645.0,121.0,NYM
+216,656266.0,158.0,MIL
+217,489119.0,158.0,MIL
+218,664942.0,138.0,STL
+219,669276.0,144.0,ATL
+220,669087.0,140.0,TEX
+221,571882.0,113.0,CIN
+222,677950.0,109.0,AZ
+223,667427.0,133.0,OAK
+224,607625.0,135.0,SD
+225,609280.0,134.0,PIT
+226,666207.0,115.0,COL
+227,624503.0,142.0,MIN
+228,669160.0,119.0,LAD
+229,663698.0,137.0,SF
+230,548389.0,137.0,SF
+231,669699.0,144.0,ATL
+232,624522.0,112.0,CHC
+233,641355.0,112.0,CHC
+234,543333.0,112.0,CHC
+235,682073.0,117.0,HOU
+236,685410.0,114.0,CLE
+237,677020.0,121.0,NYM
+238,605421.0,121.0,NYM
+239,666906.0,120.0,WSH
+240,628711.0,119.0,LAD
+241,664948.0,109.0,AZ
+242,592656.0,113.0,CIN
+243,665048.0,120.0,WSH
+244,657272.0,143.0,PHI
+245,621433.0,108.0,LAA
+246,641553.0,135.0,SD
+247,608344.0,110.0,BAL
+248,669289.0,141.0,TOR
+249,472551.0,115.0,COL
+250,595897.0,112.0,CHC
+251,666745.0,147.0,NYY
+252,641778.0,158.0,MIL
+253,657044.0,139.0,TB
+254,664202.0,119.0,LAD
+255,592848.0,108.0,LAA
+256,623474.0,108.0,LAA
+257,681806.0,108.0,LAA
+258,542947.0,111.0,BOS
+259,682120.0,114.0,CLE
+260,672478.0,133.0,OAK
+261,657424.0,117.0,HOU
+262,641531.0,118.0,KC
+263,593833.0,119.0,LAD
+264,663616.0,142.0,MIN
+265,641672.0,141.0,TOR
+266,571479.0,143.0,PHI
+267,666721.0,118.0,KC
+268,680814.0,146.0,MIA
+269,666205.0,133.0,OAK
+270,677649.0,140.0,TEX
+271,611093.0,113.0,CIN
+272,641420.0,139.0,TB
+273,641793.0,139.0,TB
+274,543859.0,144.0,ATL
+275,666150.0,109.0,AZ
+276,571976.0,113.0,CIN
+277,643376.0,141.0,TOR
+278,605463.0,119.0,LAD
+279,681987.0,118.0,KC
+280,663611.0,112.0,CHC
+281,606625.0,108.0,LAA
+282,641427.0,113.0,CIN
+283,669911.0,115.0,COL
+284,687401.0,110.0,BAL
+285,598286.0,147.0,NYY
+286,668338.0,158.0,MIL
+287,681867.0,139.0,TB
+288,680570.0,110.0,BAL
+289,472610.0,135.0,SD
+320,,,
+321,689266.0,144.0,ATL
+322,642731.0,137.0,SF
+323,663629.0,158.0,MIL
+324,642715.0,158.0,MIL
+325,519043.0,108.0,LAA
+326,657514.0,111.0,BOS
+327,694297.0,109.0,AZ
+328,666818.0,109.0,AZ
+329,661309.0,133.0,OAK
+330,621249.0,134.0,PIT
+331,656514.0,145.0,CWS
+332,657031.0,118.0,KC
+333,592826.0,134.0,PIT
+334,664126.0,139.0,TB
+335,669618.0,140.0,TEX
+336,674003.0,140.0,TEX
+337,664954.0,135.0,SD
+338,669424.0,145.0,CWS
+339,593958.0,116.0,DET
+340,663837.0,116.0,DET
+341,664247.0,142.0,MIN
+342,670242.0,142.0,MIN
+343,663941.0,137.0,SF
+344,608385.0,158.0,MIL
+345,670183.0,133.0,OAK
+346,542583.0,133.0,OAK
+347,669364.0,146.0,MIA
+348,605446.0,144.0,ATL
+349,656775.0,110.0,BAL
+350,621074.0,112.0,CHC
+351,666154.0,115.0,COL
+352,681584.0,137.0,SF
+353,476595.0,144.0,ATL
+354,694813.0,119.0,LAD
+355,666163.0,147.0,NYY
+356,664056.0,147.0,NYY
+357,672730.0,136.0,SEA
+358,682985.0,116.0,DET
+359,607237.0,118.0,KC
+360,663457.0,138.0,STL
+361,663971.0,115.0,COL
+362,670766.0,136.0,SEA
+363,669352.0,140.0,TEX
+364,668754.0,116.0,DET
+365,593643.0,145.0,CWS
+366,669947.0,145.0,CWS
+367,571710.0,110.0,BAL
+368,596112.0,134.0,PIT
+369,664761.0,143.0,PHI
+370,666397.0,142.0,MIN
+371,656786.0,117.0,HOU
+372,592178.0,115.0,COL
+373,640454.0,147.0,NYY
+374,665828.0,147.0,NYY
+375,614173.0,147.0,NYY
+376,666211.0,136.0,SEA
+377,640492.0,135.0,SD
+378,443558.0,135.0,SD
+379,598264.0,146.0,MIA
+380,519242.0,111.0,BOS
+381,605137.0,114.0,CLE
+382,615698.0,114.0,CLE
+383,571948.0,158.0,MIL
+384,621438.0,158.0,MIL
+385,605170.0,158.0,MIL
+386,686894.0,158.0,MIL
+387,592885.0,158.0,MIL
+388,642133.0,158.0,MIL
+389,573131.0,158.0,MIL
+390,606303.0,158.0,MIL
+391,642207.0,158.0,MIL
+392,527054.0,158.0,MIL
+393,605119.0,158.0,MIL
+394,655316.0,158.0,MIL
+395,669203.0,158.0,MIL
+396,670712.0,158.0,MIL
+397,642547.0,158.0,MIL
+398,647351.0,158.0,MIL
+399,664776.0,158.0,MIL
+400,680911.0,158.0,MIL
+401,665625.0,158.0,MIL
+402,661388.0,158.0,MIL
+403,607067.0,158.0,MIL
+404,668930.0,158.0,MIL
+405,605288.0,158.0,MIL
+406,657265.0,158.0,MIL
+407,669060.0,158.0,MIL
+408,656730.0,158.0,MIL
+409,668881.0,113.0,CIN
+410,643361.0,113.0,CIN
+411,663697.0,113.0,CIN
+412,594902.0,113.0,CIN
+413,682227.0,113.0,CIN
+414,641584.0,113.0,CIN
+415,622065.0,113.0,CIN
+416,596133.0,113.0,CIN
+417,680574.0,113.0,CIN
+418,666181.0,113.0,CIN
+419,670770.0,113.0,CIN
+420,669222.0,113.0,CIN
+421,621028.0,113.0,CIN
+422,668715.0,113.0,CIN
+423,668933.0,113.0,CIN
+424,518585.0,113.0,CIN
+425,664139.0,113.0,CIN
+426,571912.0,113.0,CIN
+427,663886.0,113.0,CIN
+428,608371.0,113.0,CIN
+429,571656.0,113.0,CIN
+430,676480.0,113.0,CIN
+431,664747.0,113.0,CIN
+432,674285.0,113.0,CIN
+433,592200.0,113.0,CIN
+434,656413.0,113.0,CIN
+435,542208.0,133.0,OAK
+436,621112.0,133.0,OAK
+437,669674.0,133.0,OAK
+438,669397.0,133.0,OAK
+439,667670.0,133.0,OAK
+440,660261.0,133.0,OAK
+441,607054.0,133.0,OAK
+442,686610.0,133.0,OAK
+443,663992.0,133.0,OAK
+444,621076.0,133.0,OAK
+445,681146.0,133.0,OAK
+446,665923.0,133.0,OAK
+447,664913.0,133.0,OAK
+448,657656.0,133.0,OAK
+449,676116.0,133.0,OAK
+450,668674.0,133.0,OAK
+451,543507.0,133.0,OAK
+452,643493.0,133.0,OAK
+453,643393.0,133.0,OAK
+454,663687.0,133.0,OAK
+455,665622.0,133.0,OAK
+456,649557.0,133.0,OAK
+457,669127.0,133.0,OAK
+458,594580.0,133.0,OAK
+459,668709.0,133.0,OAK
+460,676664.0,133.0,OAK
+461,643265.0,146.0,MIA
+462,516416.0,146.0,MIA
+463,666200.0,146.0,MIA
+464,650559.0,146.0,MIA
+465,666129.0,146.0,MIA
+466,645261.0,146.0,MIA
+467,624585.0,146.0,MIA
+468,665795.0,146.0,MIA
+469,623211.0,146.0,MIA
+470,663773.0,146.0,MIA
+471,493329.0,146.0,MIA
+472,595345.0,146.0,MIA
+473,607732.0,146.0,MIA
+474,641658.0,146.0,MIA
+475,571670.0,146.0,MIA
+476,656945.0,146.0,MIA
+477,542932.0,146.0,MIA
+478,666277.0,146.0,MIA
+479,621563.0,146.0,MIA
+480,663743.0,146.0,MIA
+481,660821.0,146.0,MIA
+482,641505.0,146.0,MIA
+483,677053.0,146.0,MIA
+484,650333.0,146.0,MIA
+485,608638.0,146.0,MIA
+486,691587.0,146.0,MIA
+487,668663.0,138.0,STL
+488,669357.0,138.0,STL
+489,691023.0,138.0,STL
+490,575929.0,138.0,STL
+491,571927.0,138.0,STL
+492,571448.0,138.0,STL
+493,571945.0,138.0,STL
+494,668800.0,138.0,STL
+495,606149.0,138.0,STL
+496,656427.0,138.0,STL
+497,676475.0,138.0,STL
+498,657557.0,138.0,STL
+499,502671.0,138.0,STL
+500,669467.0,138.0,STL
+501,669242.0,138.0,STL
+502,425794.0,138.0,STL
+503,669461.0,138.0,STL
+504,680977.0,138.0,STL
+505,664854.0,138.0,STL
+506,572403.0,138.0,STL
+507,660766.0,138.0,STL
+508,663855.0,138.0,STL
+509,640458.0,138.0,STL
+510,650893.0,138.0,STL
+511,656756.0,138.0,STL
+512,608717.0,138.0,STL
+513,669796.0,134.0,PIT
+514,642239.0,134.0,PIT
+515,682847.0,134.0,PIT
+516,668804.0,134.0,PIT
+517,664029.0,134.0,PIT
+518,666801.0,134.0,PIT
+519,595978.0,134.0,PIT
+520,656582.0,134.0,PIT
+521,663647.0,134.0,PIT
+522,656605.0,134.0,PIT
+523,670990.0,134.0,PIT
+524,457705.0,134.0,PIT
+525,670059.0,134.0,PIT
+526,664294.0,134.0,PIT
+527,672710.0,134.0,PIT
+528,675989.0,134.0,PIT
+529,672779.0,134.0,PIT
+530,448179.0,134.0,PIT
+531,670912.0,134.0,PIT
+532,641511.0,134.0,PIT
+533,572008.0,134.0,PIT
+534,670280.0,134.0,PIT
+535,641943.0,134.0,PIT
+536,669261.0,134.0,PIT
+537,467793.0,134.0,PIT
+538,678225.0,134.0,PIT
+539,628708.0,143.0,PHI
+540,669016.0,143.0,PHI
+541,547180.0,143.0,PHI
+542,592663.0,143.0,PHI
+543,554430.0,143.0,PHI
+544,641401.0,143.0,PHI
+545,624641.0,143.0,PHI
+546,665019.0,143.0,PHI
+547,592206.0,143.0,PHI
+548,592229.0,143.0,PHI
+549,642397.0,143.0,PHI
+550,543281.0,143.0,PHI
+551,607755.0,143.0,PHI
+552,681082.0,143.0,PHI
+553,656403.0,143.0,PHI
+554,656546.0,143.0,PHI
+555,656941.0,143.0,PHI
+556,592836.0,143.0,PHI
+557,622554.0,143.0,PHI
+558,621381.0,143.0,PHI
+559,624133.0,143.0,PHI
+560,596117.0,143.0,PHI
+561,518886.0,143.0,PHI
+562,656495.0,143.0,PHI
+563,605400.0,143.0,PHI
+564,607208.0,143.0,PHI
+565,682928.0,120.0,WSH
+566,572816.0,120.0,WSH
+567,656180.0,120.0,WSH
+568,592866.0,120.0,WSH
+569,666168.0,120.0,WSH
+570,680686.0,120.0,WSH
+571,640451.0,120.0,WSH
+572,608841.0,120.0,WSH
+573,545121.0,120.0,WSH
+574,640448.0,120.0,WSH
+575,656308.0,120.0,WSH
+576,605218.0,120.0,WSH
+577,541640.0,120.0,WSH
+578,656448.0,120.0,WSH
+579,600869.0,120.0,WSH
+580,642086.0,120.0,WSH
+581,600921.0,120.0,WSH
+582,669022.0,120.0,WSH
+583,663623.0,120.0,WSH
+584,669743.0,120.0,WSH
+585,571578.0,120.0,WSH
+586,641771.0,120.0,WSH
+587,660688.0,120.0,WSH
+588,663658.0,120.0,WSH
+589,657041.0,120.0,WSH
+590,671277.0,120.0,WSH
+591,666182.0,141.0,TOR
+592,666201.0,141.0,TOR
+593,676391.0,141.0,TOR
+594,605135.0,141.0,TOR
+595,662139.0,141.0,TOR
+596,641835.0,141.0,TOR
+597,592332.0,141.0,TOR
+598,656305.0,141.0,TOR
+599,593160.0,141.0,TOR
+600,595281.0,141.0,TOR
+601,670950.0,141.0,TOR
+602,621244.0,141.0,TOR
+603,664770.0,141.0,TOR
+604,543807.0,141.0,TOR
+605,542914.0,141.0,TOR
+606,624415.0,141.0,TOR
+607,554340.0,141.0,TOR
+608,623168.0,141.0,TOR
+609,579328.0,141.0,TOR
+610,643256.0,141.0,TOR
+611,665489.0,141.0,TOR
+612,657024.0,141.0,TOR
+613,663878.0,141.0,TOR
+614,605447.0,141.0,TOR
+615,474832.0,141.0,TOR
+616,672386.0,141.0,TOR
+617,621512.0,121.0,NYM
+618,682626.0,121.0,NYM
+619,643446.0,121.0,NYM
+620,668901.0,121.0,NYM
+621,596129.0,121.0,NYM
+622,683146.0,121.0,NYM
+623,668665.0,121.0,NYM
+624,471911.0,121.0,NYM
+625,500871.0,121.0,NYM
+626,493603.0,121.0,NYM
+627,488984.0,121.0,NYM
+628,673540.0,121.0,NYM
+629,502054.0,121.0,NYM
+630,592192.0,121.0,NYM
+631,624413.0,121.0,NYM
+632,453286.0,121.0,NYM
+633,516782.0,121.0,NYM
+634,596019.0,121.0,NYM
+635,607043.0,121.0,NYM
+636,622098.0,121.0,NYM
+637,548384.0,121.0,NYM
+638,608678.0,121.0,NYM
+639,434378.0,121.0,NYM
+640,502085.0,121.0,NYM
+641,656731.0,121.0,NYM
+642,656257.0,121.0,NYM
+643,645801.0,136.0,SEA
+644,543939.0,136.0,SEA
+645,676609.0,136.0,SEA
+646,623437.0,136.0,SEA
+647,641487.0,136.0,SEA
+648,663728.0,136.0,SEA
+649,572041.0,136.0,SEA
+650,670036.0,136.0,SEA
+651,666374.0,136.0,SEA
+652,669302.0,136.0,SEA
+653,623149.0,136.0,SEA
+654,606192.0,136.0,SEA
+655,622491.0,136.0,SEA
+656,669923.0,136.0,SEA
+657,553993.0,136.0,SEA
+658,664034.0,136.0,SEA
+659,642048.0,136.0,SEA
+660,623167.0,136.0,SEA
+661,608596.0,136.0,SEA
+662,594835.0,136.0,SEA
+663,664059.0,136.0,SEA
+664,642100.0,136.0,SEA
+665,677594.0,136.0,SEA
+666,682243.0,136.0,SEA
+667,641627.0,136.0,SEA
+668,672284.0,136.0,SEA
+669,641680.0,140.0,TEX
+670,666142.0,140.0,TEX
+671,665750.0,140.0,TEX
+672,641540.0,140.0,TEX
+673,663993.0,140.0,TEX
+674,681982.0,140.0,TEX
+675,608369.0,140.0,TEX
+676,592351.0,140.0,TEX
+677,543543.0,140.0,TEX
+678,543760.0,140.0,TEX
+679,673962.0,140.0,TEX
+680,667463.0,140.0,TEX
+681,642546.0,140.0,TEX
+682,622250.0,140.0,TEX
+683,641598.0,140.0,TEX
+684,608671.0,140.0,TEX
+685,669701.0,140.0,TEX
+686,571760.0,140.0,TEX
+687,519293.0,140.0,TEX
+688,666969.0,140.0,TEX
+689,506702.0,140.0,TEX
+690,656271.0,140.0,TEX
+691,543257.0,140.0,TEX
+692,543135.0,140.0,TEX
+693,600917.0,140.0,TEX
+694,527048.0,140.0,TEX
+695,650859.0,108.0,LAA
+696,666160.0,108.0,LAA
+697,687263.0,108.0,LAA
+698,670869.0,108.0,LAA
+699,571901.0,108.0,LAA
+700,663776.0,108.0,LAA
+701,681217.0,108.0,LAA
+702,642136.0,108.0,LAA
+703,621493.0,108.0,LAA
+704,592669.0,108.0,LAA
+705,690829.0,108.0,LAA
+706,656288.0,108.0,LAA
+707,592273.0,108.0,LAA
+708,606965.0,108.0,LAA
+709,657097.0,108.0,LAA
+710,545361.0,108.0,LAA
+711,570482.0,108.0,LAA
+712,665120.0,108.0,LAA
+713,696147.0,108.0,LAA
+714,660271.0,108.0,LAA
+715,642545.0,108.0,LAA
+716,608032.0,108.0,LAA
+717,656353.0,108.0,LAA
+718,595453.0,108.0,LAA
+719,672282.0,108.0,LAA
+720,542881.0,108.0,LAA
+721,667452.0,117.0,HOU
+722,664285.0,117.0,HOU
+723,455117.0,117.0,HOU
+724,650556.0,117.0,HOU
+725,593576.0,117.0,HOU
+726,606160.0,117.0,HOU
+727,663656.0,117.0,HOU
+728,641585.0,117.0,HOU
+729,686613.0,117.0,HOU
+730,643289.0,117.0,HOU
+731,669854.0,117.0,HOU
+732,608324.0,117.0,HOU
+733,676694.0,117.0,HOU
+734,663967.0,117.0,HOU
+735,661527.0,117.0,HOU
+736,547989.0,117.0,HOU
+737,514888.0,117.0,HOU
+738,665161.0,117.0,HOU
+739,592773.0,117.0,HOU
+740,664299.0,117.0,HOU
+741,519151.0,117.0,HOU
+742,656232.0,117.0,HOU
+743,664208.0,117.0,HOU
+744,676801.0,117.0,HOU
+745,673237.0,117.0,HOU
+746,670541.0,117.0,HOU
+747,572955.0,115.0,COL
+748,595777.0,115.0,COL
+749,642851.0,115.0,COL
+750,545341.0,115.0,COL
+751,641857.0,115.0,COL
+752,605612.0,115.0,COL
+753,607536.0,115.0,COL
+754,659275.0,115.0,COL
+755,453568.0,115.0,COL
+756,657756.0,115.0,COL
+757,596295.0,115.0,COL
+758,453268.0,115.0,COL
+759,666134.0,115.0,COL
+760,664875.0,115.0,COL
+761,663567.0,115.0,COL
+762,519058.0,115.0,COL
+763,571539.0,115.0,COL
+764,686668.0,115.0,COL
+765,656234.0,115.0,COL
+766,553869.0,115.0,COL
+767,678662.0,115.0,COL
+768,502624.0,115.0,COL
+769,543272.0,115.0,COL
+770,608718.0,115.0,COL
+771,660707.0,115.0,COL
+772,676701.0,115.0,COL
+773,621016.0,118.0,KC
+774,666023.0,118.0,KC
+775,605130.0,118.0,KC
+776,621295.0,118.0,KC
+777,425844.0,118.0,KC
+778,663804.0,118.0,KC
+779,521692.0,118.0,KC
+780,663903.0,118.0,KC
+781,658668.0,118.0,KC
+782,670032.0,118.0,KC
+783,671221.0,118.0,KC
+784,669004.0,118.0,KC
+785,672578.0,118.0,KC
+786,668472.0,118.0,KC
+787,686681.0,118.0,KC
+788,622251.0,118.0,KC
+789,594577.0,118.0,KC
+790,664199.0,118.0,KC
+791,622110.0,118.0,KC
+792,686469.0,118.0,KC
+793,663738.0,118.0,KC
+794,598265.0,118.0,KC
+795,672580.0,118.0,KC
+796,543475.0,118.0,KC
+797,547973.0,118.0,KC
+798,677951.0,118.0,KC
+799,647304.0,114.0,CLE
+800,669456.0,114.0,CLE
+801,669212.0,114.0,CLE
+802,675916.0,114.0,CLE
+803,680704.0,114.0,CLE
+804,595956.0,114.0,CLE
+805,572287.0,114.0,CLE
+806,686823.0,114.0,CLE
+807,642708.0,114.0,CLE
+808,661403.0,114.0,CLE
+809,660853.0,114.0,CLE
+810,665926.0,114.0,CLE
+811,675540.0,114.0,CLE
+812,677587.0,114.0,CLE
+813,672356.0,114.0,CLE
+814,671289.0,114.0,CLE
+815,671106.0,114.0,CLE
+816,650644.0,114.0,CLE
+817,681807.0,114.0,CLE
+818,656529.0,114.0,CLE
+819,608070.0,114.0,CLE
+820,680757.0,114.0,CLE
+821,663986.0,114.0,CLE
+822,683769.0,114.0,CLE
+823,664702.0,114.0,CLE
+824,676440.0,114.0,CLE
+825,641941.0,142.0,MIN
+826,661395.0,142.0,MIN
+827,456781.0,142.0,MIN
+828,686973.0,142.0,MIN
+829,592254.0,142.0,MIN
+830,650489.0,142.0,MIN
+831,543243.0,142.0,MIN
+832,571657.0,142.0,MIN
+833,680777.0,142.0,MIN
+834,666135.0,142.0,MIN
+835,663485.0,142.0,MIN
+836,643377.0,142.0,MIN
+837,621043.0,142.0,MIN
+838,641154.0,142.0,MIN
+839,592779.0,142.0,MIN
+840,641927.0,142.0,MIN
+841,608336.0,142.0,MIN
+842,663558.0,142.0,MIN
+843,596146.0,142.0,MIN
+844,668904.0,142.0,MIN
+845,605347.0,142.0,MIN
+846,593871.0,142.0,MIN
+847,572191.0,142.0,MIN
+848,621439.0,142.0,MIN
+849,657746.0,142.0,MIN
+850,543877.0,142.0,MIN
+851,665155.0,116.0,DET
+852,656716.0,116.0,DET
+853,592741.0,116.0,DET
+854,681857.0,116.0,DET
+855,641302.0,116.0,DET
+856,669438.0,116.0,DET
+857,595879.0,116.0,DET
+858,570731.0,116.0,DET
+859,663947.0,116.0,DET
+860,663527.0,116.0,DET
+861,670097.0,116.0,DET
+862,679529.0,116.0,DET
+863,671345.0,116.0,DET
+864,668670.0,116.0,DET
+865,408234.0,116.0,DET
+866,571510.0,116.0,DET
+867,668731.0,116.0,DET
+868,666214.0,116.0,DET
+869,606992.0,116.0,DET
+870,628451.0,116.0,DET
+871,547179.0,116.0,DET
+872,545350.0,116.0,DET
+873,542585.0,116.0,DET
+874,656638.0,116.0,DET
+875,676684.0,116.0,DET
+876,656412.0,116.0,DET
+877,518735.0,145.0,CWS
+878,669394.0,145.0,CWS
+879,663853.0,145.0,CWS
+880,660162.0,145.0,CWS
+881,458681.0,145.0,CWS
+882,521230.0,145.0,CWS
+883,683734.0,145.0,CWS
+884,608665.0,145.0,CWS
+885,640449.0,145.0,CWS
+886,666619.0,145.0,CWS
+887,657757.0,145.0,CWS
+888,656302.0,145.0,CWS
+889,676979.0,145.0,CWS
+890,656629.0,145.0,CWS
+891,664874.0,145.0,CWS
+892,643217.0,145.0,CWS
+893,641313.0,145.0,CWS
+894,607481.0,145.0,CWS
+895,605182.0,145.0,CWS
+896,625643.0,145.0,CWS
+897,641871.0,145.0,CWS
+898,650391.0,145.0,CWS
+899,462101.0,145.0,CWS
+900,608337.0,145.0,CWS
+901,523260.0,145.0,CWS
+902,673357.0,145.0,CWS
+903,640470.0,112.0,CHC
+904,621458.0,112.0,CHC
+905,666624.0,112.0,CHC
+906,641820.0,112.0,CHC
+907,571466.0,112.0,CHC
+908,664023.0,112.0,CHC
+909,592767.0,112.0,CHC
+910,621550.0,112.0,CHC
+911,665871.0,112.0,CHC
+912,643565.0,112.0,CHC
+913,669713.0,112.0,CHC
+914,592791.0,112.0,CHC
+915,669093.0,112.0,CHC
+916,543228.0,112.0,CHC
+917,670156.0,112.0,CHC
+918,673548.0,112.0,CHC
+919,676714.0,112.0,CHC
+920,643410.0,112.0,CHC
+921,621020.0,112.0,CHC
+922,605242.0,112.0,CHC
+923,573186.0,112.0,CHC
+924,663538.0,112.0,CHC
+925,657240.0,112.0,CHC
+926,543294.0,112.0,CHC
+927,657006.0,112.0,CHC
+928,670223.0,112.0,CHC
+929,593619.0,135.0,SD
+930,621051.0,135.0,SD
+931,623352.0,135.0,SD
+932,572761.0,135.0,SD
+933,605397.0,135.0,SD
+934,607259.0,135.0,SD
+935,663845.0,135.0,SD
+936,596059.0,135.0,SD
+937,506433.0,135.0,SD
+938,677960.0,135.0,SD
+939,657612.0,135.0,SD
+940,592518.0,135.0,SD
+941,656290.0,135.0,SD
+942,665487.0,135.0,SD
+943,665742.0,135.0,SD
+944,593428.0,135.0,SD
+945,605483.0,135.0,SD
+946,596142.0,135.0,SD
+947,608379.0,135.0,SD
+948,663757.0,135.0,SD
+949,641703.0,135.0,SD
+950,630105.0,135.0,SD
+951,673490.0,135.0,SD
+952,543592.0,135.0,SD
+953,676680.0,135.0,SD
+954,641525.0,135.0,SD
+955,623433.0,144.0,ATL
+956,675911.0,144.0,ATL
+957,700363.0,144.0,ATL
+958,671739.0,144.0,ATL
+959,518595.0,144.0,ATL
+960,445926.0,144.0,ATL
+961,656541.0,144.0,ATL
+962,543521.0,144.0,ATL
+963,621345.0,144.0,ATL
+964,621566.0,144.0,ATL
+965,647336.0,144.0,ATL
+966,694363.0,144.0,ATL
+967,669221.0,144.0,ATL
+968,660670.0,144.0,ATL
+969,518586.0,144.0,ATL
+970,592696.0,144.0,ATL
+971,607680.0,144.0,ATL
+972,645277.0,144.0,ATL
+973,628452.0,144.0,ATL
+974,663586.0,144.0,ATL
+975,641729.0,144.0,ATL
+976,606115.0,144.0,ATL
+977,489446.0,144.0,ATL
+978,450203.0,144.0,ATL
+979,693821.0,144.0,ATL
+980,542303.0,144.0,ATL
+981,645444.0,109.0,AZ
+982,543518.0,109.0,AZ
+983,669459.0,109.0,AZ
+984,668942.0,109.0,AZ
+985,686753.0,109.0,AZ
+986,518876.0,109.0,AZ
+987,664983.0,109.0,AZ
+988,605177.0,109.0,AZ
+989,656464.0,109.0,AZ
+990,674072.0,109.0,AZ
+991,605113.0,109.0,AZ
+992,606466.0,109.0,AZ
+993,613534.0,109.0,AZ
+994,669194.0,109.0,AZ
+995,672695.0,109.0,AZ
+996,672515.0,109.0,AZ
+997,682998.0,109.0,AZ
+998,668678.0,109.0,AZ
+999,666971.0,109.0,AZ
+1000,572233.0,109.0,AZ
+1001,605200.0,109.0,AZ
+1002,612434.0,109.0,AZ
+1003,446334.0,109.0,AZ
+1004,614179.0,109.0,AZ
+1005,656976.0,109.0,AZ
+1006,656896.0,109.0,AZ
+1007,641482.0,147.0,NYY
+1008,518934.0,147.0,NYY
+1009,622663.0,147.0,NYY
+1010,650633.0,147.0,NYY
+1011,656061.0,147.0,NYY
+1012,519203.0,147.0,NYY
+1013,593334.0,147.0,NYY
+1014,593974.0,147.0,NYY
+1015,641343.0,147.0,NYY
+1016,657376.0,147.0,NYY
+1017,656185.0,147.0,NYY
+1018,592450.0,147.0,NYY
+1019,543309.0,147.0,NYY
+1020,643396.0,147.0,NYY
+1021,518626.0,147.0,NYY
+1022,543901.0,147.0,NYY
+1023,650402.0,147.0,NYY
+1024,592454.0,147.0,NYY
+1025,624431.0,147.0,NYY
+1026,605280.0,147.0,NYY
+1027,683011.0,147.0,NYY
+1028,641432.0,147.0,NYY
+1029,622772.0,147.0,NYY
+1030,519317.0,147.0,NYY
+1031,676760.0,147.0,NYY
+1032,543037.0,147.0,NYY
+1033,624647.0,119.0,LAD
+1034,669257.0,119.0,LAD
+1035,641360.0,119.0,LAD
+1036,621035.0,119.0,LAD
+1037,664062.0,119.0,LAD
+1038,681911.0,119.0,LAD
+1039,571946.0,119.0,LAD
+1040,592789.0,119.0,LAD
+1041,605131.0,119.0,LAD
+1042,676272.0,119.0,LAD
+1043,571970.0,119.0,LAD
+1044,518792.0,119.0,LAD
+1045,657571.0,119.0,LAD
+1046,518692.0,119.0,LAD
+1047,660813.0,119.0,LAD
+1048,677865.0,119.0,LAD
+1049,444482.0,119.0,LAD
+1050,502110.0,119.0,LAD
+1051,622075.0,119.0,LAD
+1052,681546.0,119.0,LAD
+1053,623465.0,119.0,LAD
+1054,477132.0,119.0,LAD
+1055,572204.0,119.0,LAD
+1056,605141.0,119.0,LAD
+1057,500743.0,119.0,LAD
+1058,678246.0,119.0,LAD
+1059,624428.0,110.0,BAL
+1060,665152.0,110.0,BAL
+1061,669211.0,110.0,BAL
+1062,669330.0,110.0,BAL
+1063,657508.0,110.0,BAL
+1064,683002.0,110.0,BAL
+1065,622761.0,110.0,BAL
+1066,623993.0,110.0,BAL
+1067,663630.0,110.0,BAL
+1068,680694.0,110.0,BAL
+1069,663624.0,110.0,BAL
+1070,668939.0,110.0,BAL
+1071,608723.0,110.0,BAL
+1072,543305.0,110.0,BAL
+1073,672335.0,110.0,BAL
+1074,669720.0,110.0,BAL
+1075,669145.0,110.0,BAL
+1076,602104.0,110.0,BAL
+1077,642585.0,110.0,BAL
+1078,666974.0,110.0,BAL
+1079,679631.0,110.0,BAL
+1080,641329.0,110.0,BAL
+1081,543510.0,110.0,BAL
+1082,502043.0,110.0,BAL
+1083,543056.0,110.0,BAL
+1084,656811.0,110.0,BAL
+1085,666165.0,137.0,SF
+1086,669477.0,137.0,SF
+1087,502171.0,137.0,SF
+1088,624424.0,137.0,SF
+1089,571745.0,137.0,SF
+1090,518397.0,137.0,SF
+1091,640455.0,137.0,SF
+1092,592426.0,137.0,SF
+1093,605154.0,137.0,SF
+1094,657277.0,137.0,SF
+1095,676254.0,137.0,SF
+1096,543063.0,137.0,SF
+1097,543101.0,137.0,SF
+1098,672275.0,137.0,SF
+1099,527038.0,137.0,SF
+1100,689172.0,137.0,SF
+1101,622072.0,137.0,SF
+1102,643511.0,137.0,SF
+1103,669369.0,137.0,SF
+1104,664774.0,137.0,SF
+1105,666808.0,137.0,SF
+1106,596001.0,137.0,SF
+1107,573124.0,137.0,SF
+1108,573262.0,137.0,SF
+1109,605204.0,137.0,SF
+1110,596103.0,137.0,SF
+1111,518617.0,139.0,TB
+1112,670764.0,139.0,TB
+1113,642350.0,139.0,TB
+1114,670623.0,139.0,TB
+1115,623912.0,139.0,TB
+1116,671737.0,139.0,TB
+1117,664040.0,139.0,TB
+1118,607192.0,139.0,TB
+1119,663556.0,139.0,TB
+1120,642336.0,139.0,TB
+1121,668227.0,139.0,TB
+1122,686747.0,139.0,TB
+1123,592094.0,139.0,TB
+1124,656222.0,139.0,TB
+1125,542194.0,139.0,TB
+1126,676596.0,139.0,TB
+1127,676534.0,139.0,TB
+1128,622534.0,139.0,TB
+1129,665001.0,139.0,TB
+1130,621107.0,139.0,TB
+1131,687330.0,139.0,TB
+1132,666139.0,139.0,TB
+1133,621363.0,139.0,TB
+1134,650490.0,139.0,TB
+1135,677551.0,139.0,TB
+1136,670042.0,139.0,TB
+1137,621057.0,111.0,BOS
+1138,622569.0,111.0,BOS
+1139,570257.0,111.0,BOS
+1140,657136.0,111.0,BOS
+1141,571771.0,111.0,BOS
+1142,608701.0,111.0,BOS
+1143,657077.0,111.0,BOS
+1144,572020.0,111.0,BOS
+1145,678394.0,111.0,BOS
+1146,445276.0,111.0,BOS
+1147,676477.0,111.0,BOS
+1148,670174.0,111.0,BOS
+1149,676710.0,111.0,BOS
+1150,601713.0,111.0,BOS
+1151,624512.0,111.0,BOS
+1152,646240.0,111.0,BOS
+1153,680776.0,111.0,BOS
+1154,606132.0,111.0,BOS
+1155,665839.0,111.0,BOS
+1156,595411.0,111.0,BOS
+1157,807799.0,111.0,BOS
+1158,656557.0,111.0,BOS
+1159,446372.0,111.0,BOS
+1160,455119.0,111.0,BOS
+1161,671213.0,111.0,BOS
+1162,457759.0,111.0,BOS

requirements.txt

@@ -0,0 +1,293 @@
+# requirements.txt generated by rsconnect-python on 2023-04-20 21:38:50.254957
+adjustText==0.7.3
+aiohttp==3.8.1
+aiosignal==1.2.0
+altair==4.2.0
+ansicolors==1.1.8
+anyio==3.6.2
+appdirs==1.4.4
+argon2-cffi==21.1.0
+asgiref==3.5.2
+aspose-words==22.10.0
+asttokens==2.2.1
+async-timeout==4.0.2
+atomicwrites==1.4.0
+attrs==20.3.0
+backcall==0.2.0
+bandit==1.7.4
+baseball-scraper==0.4.10
+beautifulsoup4==4.9.3
+bleach==4.1.0
+branca==0.4.2
+bs4==0.0.1
+cachetools==5.2.0
+cairocffi==1.2.0
+CairoSVG==2.6.0
+calfem-python==3.5.9
+certifi==2020.12.5
+cffi==1.14.5
+chardet==4.0.0
+charset-normalizer==2.0.11
+click==8.1.3
+click-plugins==1.1.1
+cligj==0.7.2
+colorama==0.4.4
+colour==0.1.5
+commonmark==0.9.1
+contextvars==2.4
+coverage==6.5.0
+cryptography==38.0.1
+cssselect==1.1.0
+cssselect2==0.4.1
+cssutils==2.2.0
+cycler==0.10.0
+dataframe-image==0.1.7
+DateTime==4.3
+decorator==4.4.2
+decorest==0.0.6
+defusedxml==0.7.1
+Deprecated==1.2.13
+deserialize==1.8.1
+df2img==0.2.9
+Django==4.1.1
+docopt==0.6.2
+entrypoints==0.3
+et-xmlfile==1.0.1
+executing==1.2.0
+ezdxf==0.17.2
+fastapi==0.95.0
+fastjsonschema==2.16.3
+flake8==5.0.4
+Flask==2.2.3
+folium==0.12.1.post1
+fonttools==4.31.2
+frozenlist==1.3.0
+fsspec==2023.4.0
+fuzzywuzzy==0.18.0
+geomdl==5.3.1
+gitdb==4.0.9
+GitPython==3.1.29
+gmsh==4.9.5
+google-api-core==2.10.1
+google-api-python-client==2.63.0
+google-auth==2.12.0
+google-auth-httplib2==0.1.0
+google-auth-oauthlib==0.5.3
+google-spreadsheet==0.0.6
+googleapis-common-protos==1.56.4
+graphviz==0.19.1
+greenlet==1.1.3.post0
+gspread==5.5.0
+h11==0.12.0
+h5py==3.6.0
+hockey-rink==0.1.1
+hockey-scraper==1.37.1
+hockeyjockey==1.2
+html2image==2.0.1
+html5lib==1.1
+htmltools==0.2.1
+httpcore==0.15.0
+httplib2==0.20.4
+httpx==0.23.0
+humanize==4.6.0
+idna==2.10
+image==1.5.33
+imageio==2.15.0
+imageio-ffmpeg==0.4.8
+imgkit==1.2.2
+immutables==0.19
+importlib-metadata==6.0.0
+importlib-resources==5.12.0
+iniconfig==1.1.1
+ipykernel==5.5.0
+ipython==8.11.0
+ipython-genutils==0.2.0
+itsdangerous==2.1.2
+jdcal==1.4.1
+jedi==0.18.0
+Jinja2==3.0.1
+joblib==1.1.0
+jsonschema==3.2.0
+jupyter-client==6.1.11
+jupyter-core==4.7.1
+jupyterlab-pygments==0.1.2
+kaleido==0.2.1
+kiwisolver==1.3.1
+libhockey==0.23.0
+linkify-it-py==2.0.0
+lxml==4.6.2
+markdown-it-py==2.2.0
+MarkupSafe==2.1.2
+matplotlib==3.5.1
+matplotlib-inline==0.1.6
+mccabe==0.7.0
+mdit-py-plugins==0.3.5
+mdurl==0.1.2
+menyou==1.0
+mistune==0.8.4
+MLB-StatsAPI==1.4.2
+more-itertools==8.12.0
+moviepy==1.0.3
+mpmath==1.2.1
+multidict==6.0.2
+munch==2.5.0
+mysql-connector-python==8.0.24
+natsort==7.1.1
+nbclient==0.5.4
+nbconvert==6.4.0
+nbformat==5.1.3
+ndim==0.1.6
+nest-asyncio==1.5.1
+networkx==2.6.3
+nhl-logo-scraper==1.1.0
+nhlpy==0.3.0
+nibabel==3.2.2
+notebook==6.4.4
+npx==0.1.1
+numpy==1.22.3
+oauth2client==4.1.3
+oauthlib==3.2.1
+openpyxl==3.0.5
+packaging==21.3
+pandas==1.2.0
+pandocfilters==1.5.0
+parso==0.8.1
+patsy==0.5.1
+pbr==5.11.0
+pdfkit==1.0.0
+pickleshare==0.7.5
+Pillow==9.0.1
+pins==0.8.0
+pip==23.1
+platformdirs==2.5.1
+pluggy==0.13.1
+praw==7.7.0
+prawcore==2.3.0
+proglog==0.1.10
+prometheus-client==0.11.0
+prompt-toolkit==3.0.38
+protobuf==4.21.6
+psutil==5.9.3
+pure-eval==0.2.2
+py==1.10.0
+pyaml==20.4.0
+pyarrow==5.0.0
+pyasn1==0.4.8
+pyasn1-modules==0.2.8
+pybaseball==2.2.1
+pybind11==2.9.1
+pycairo==1.23.0
+pycodestyle==2.9.1
+pycparser==2.20
+pydantic==1.10.7
+pyfiglet==0.8.post1
+pyflakes==2.5.0
+PyGithub==1.55
+Pygments==2.8.0
+pygsheets==2.0.5
+PyHockeyStats==0.5.2
+PyJWT==2.6.0
+pymesh==1.0.2
+PyNaCl==1.4.0
+PyOpenGL==3.1.6
+pyOpenSSL==22.1.0
+pyparsing==3.0.7
+pyperclip==1.8.2
+pyproj==3.2.1
+PyQt5==5.15.6
+PyQt5-Qt5==5.15.2
+PyQt5-sip==12.9.1
+PyQtWebEngine==5.15.5
+PyQtWebEngine-Qt5==5.15.2
+pyrsistent==0.17.3
+pytest==7.1.3
+pytest_check==1.0.5
+python-dateutil==2.8.2
+python-dotenv==0.21.0
+python-mlb-statsapi==0.3.9
+python-multipart==0.0.6
+pytools==2022.1.1
+pytz==2022.7.1
+PyVTK==0.5.18
+PyWavelets==1.2.0
+PyYAML==5.3.1
+pyzmq==25.0.1
+rauth==0.7.3
+requests==2.28.1
+requests-mock==1.10.0
+requests-oauthlib==1.3.1
+retrying==1.3.3
+rfc3986==1.5.0
+rhino-shapley-interop==0.0.4
+rhino3dm==7.15.0
+rich==12.0.0
+riotwatcher==3.2.4
+rsa==4.9
+scikit-image==0.19.1
+scikit-learn==1.0.1
+scipy==1.6.0
+seaborn==0.11.1
+selenium==3.141.0
+semver==2.13.0
+Send2Trash==1.8.0
+Shapely==1.7.1
+shiny==0.3.0
+six==1.16.0
+sklearn==0.0
+smmap==5.0.0
+sniffio==1.3.0
+soupsieve==2.4
+spotipy==2.18.0
+SQLAlchemy==1.4.42
+sqlparse==0.4.2
+stack-data==0.6.2
+starlette==0.26.1
+statsmodels==0.12.2
+stevedore==4.1.1
+stringcase==1.2.0
+sympy==1.10
+tabulate==0.9.0
+tekore==4.5.0
+tenacity==8.2.2
+terminado==0.12.1
+termplotlib==0.3.9
+testpath==0.5.0
+threadpoolctl==3.0.0
+tifffile==2022.2.2
+tinycss2==1.2.1
+toml==0.10.2
+tomli==2.0.1
+toolz==0.11.2
+TopDownHockey-Scraper==2.0.1
+tornado==6.2
+tqdm==4.62.3
+traitlets==5.9.0
+triangle==20220202
+trimeshpy==0.0.2
+tweepy==4.13.0
+typing_extensions==4.5.0
+tzdata==2022.2
+uc-micro-py==1.0.1
+Unidecode==1.3.4
+update-checker==0.18.0
+uritemplate==4.1.1
+urllib3==1.26.15
+uvicorn==0.21.1
+vega-datasets==0.9.0
+visvis==1.13.0
+vtk==9.1.0
+wcwidth==0.2.6
+webdriver-manager==3.8.5
+webencodings==0.5.1
+websocket-client==1.5.1
+websockets==11.0.1
+Werkzeug==2.2.3
+wget==3.2
+wrapt==1.12.1
+wslink==1.4.3
+xmltodict==0.12.0
+xxhash==3.2.0
+yahoo-oauth==2.0
+yarl==1.7.2
+zipp==3.15.0
+zope.interface==5.4.0

runtime.txt

@@ -0,0 +1 @@
+python-3.9.13

team_logos.csv

@@ -0,0 +1,31 @@
+id,city,name,franchise,abbreviation,imageAbbreviation,imageLink
+108,Los Angeles Angels,Angels,Los Angeles Angels,LAA,LAA,https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/LAA.png&h=400&w=400
+109,Arizona Diamondbacks,D-backs,Arizona Diamondbacks,AZ,ARI,https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/ARI.png&h=400&w=400
+110,Baltimore Orioles,Orioles,Baltimore Orioles,BAL,BAL,https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/BAL.png&h=400&w=400
+111,Boston Red Sox,Red Sox,Boston Red Sox,BOS,BOS,https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/BOS.png&h=400&w=400
+112,Chicago Cubs,Cubs,Chicago Cubs,CHC,CHC,https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/CHC.png&h=400&w=400
+113,Cincinnati Reds,Reds,Cincinnati Reds,CIN,CIN,https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/CIN.png&h=400&w=400
+114,Cleveland Guardians,Guardians,Cleveland Guardians,CLE,CLE,https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/CLE.png&h=400&w=400
+115,Colorado Rockies,Rockies,Colorado Rockies,COL,COL,https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/COL.png&h=400&w=400
+116,Detroit Tigers,Tigers,Detroit Tigers,DET,DET,https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/DET.png&h=400&w=400
+117,Houston Astros,Astros,Houston Astros,HOU,HOU,https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/HOU.png&h=400&w=400
+118,Kansas City Royals,Royals,Kansas City Royals,KC,KC,https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/KC.png&h=400&w=400
+119,Los Angeles Dodgers,Dodgers,Los Angeles Dodgers,LAD,LAD,https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/LAD.png&h=400&w=400
+120,Washington Nationals,Nationals,Washington Nationals,WSH,WSH,https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/WSH.png&h=400&w=400
+121,New York Mets,Mets,New York Mets,NYM,NYM,https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/NYM.png&h=400&w=400
+133,Oakland Athletics,Athletics,Oakland Athletics,OAK,OAK,https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/OAK.png&h=400&w=400
+134,Pittsburgh Pirates,Pirates,Pittsburgh Pirates,PIT,PIT,https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/PIT.png&h=400&w=400
+135,San Diego Padres,Padres,San Diego Padres,SD,SD,https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/SD.png&h=400&w=400
+136,Seattle Mariners,Mariners,Seattle Mariners,SEA,SEA,https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/SEA.png&h=400&w=400
+137,San Francisco Giants,Giants,San Francisco Giants,SF,SF,https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/SF.png&h=400&w=400
+138,St. Louis Cardinals,Cardinals,St. Louis Cardinals,STL,STL,https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/STL.png&h=400&w=400
+139,Tampa Bay Rays,Rays,Tampa Bay Rays,TB,TB,https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/TB.png&h=400&w=400
+140,Texas Rangers,Rangers,Texas Rangers,TEX,TEX,https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/TEX.png&h=400&w=400
+141,Toronto Blue Jays,Blue Jays,Toronto Blue Jays,TOR,TOR,https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/TOR.png&h=400&w=400
+142,Minnesota Twins,Twins,Minnesota Twins,MIN,MIN,https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/MIN.png&h=400&w=400
+143,Philadelphia Phillies,Phillies,Philadelphia Phillies,PHI,PHI,https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/PHI.png&h=400&w=400
+144,Atlanta Braves,Braves,Atlanta Braves,ATL,ATL,https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/ATL.png&h=400&w=400
+145,Chicago White Sox,White Sox,Chicago White Sox,CWS,CHW,https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/CHW.png&h=400&w=400
+146,Miami Marlins,Marlins,Miami Marlins,MIA,MIA,https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/MIA.png&h=400&w=400
+147,New York Yankees,Yankees,New York Yankees,NYY,NYY,https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/NYY.png&h=400&w=400
+158,Milwaukee Brewers,Brewers,Milwaukee Brewers,MIL,MIL,https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/MIL.png&h=400&w=400