Update spray_new.py

spray_new.py

@@ -848,94 +848,94 @@ def server(input,output,session):
 
         fig.subplots_adjust(left=0.01, right=0.99, top=0.98, bottom=0.02)
 
-    @output
-    @render.plot(alt="A histogram")
-    @reactive.event(input.go, ignore_none=False)
-    def ev_plot():
-        data_df = df_2023_bip_train[df_2023_bip_train.batter_id==int(input.batter_id())]
-        #pitch_list = df_2023_small.pitch_type.unique()
-        sns.set_theme(style="whitegrid", palette="pastel")
-        fig, ax = plt.subplots(1, 1, figsize=(10, 10))
+    # @output
+    # @render.plot(alt="A histogram")
+    # @reactive.event(input.go, ignore_none=False)
+    # def ev_plot():
+    #     data_df = df_2023_bip_train[df_2023_bip_train.batter_id==int(input.batter_id())]
+    #     #pitch_list = df_2023_small.pitch_type.unique()
+    #     sns.set_theme(style="whitegrid", palette="pastel")
+    #     fig, ax = plt.subplots(1, 1, figsize=(10, 10))
         
 
 
-        # if input.plot_id() == 'dist':
-        #     sns.histplot(x=data_df.launch_angle,y=data_df.launch_speed,cbar=colour_palette,binwidth=(5,2.5),ax=ax,cbar_kws=dict(shrink=.75,label='Count'),binrange=(
-        #     (math.floor((min(data_df.launch_angle.dropna())/5))*5,math.ceil((max(data_df.launch_angle.dropna())/5))*5),(math.floor((min(data_df.launch_speed.dropna())/5))*5,math.ceil((max(data_df.launch_speed.dropna())/5))*5)))
+    #     # if input.plot_id() == 'dist':
+    #     #     sns.histplot(x=data_df.launch_angle,y=data_df.launch_speed,cbar=colour_palette,binwidth=(5,2.5),ax=ax,cbar_kws=dict(shrink=.75,label='Count'),binrange=(
+    #     #     (math.floor((min(data_df.launch_angle.dropna())/5))*5,math.ceil((max(data_df.launch_angle.dropna())/5))*5),(math.floor((min(data_df.launch_speed.dropna())/5))*5,math.ceil((max(data_df.launch_speed.dropna())/5))*5)))
 
-        sns.scatterplot(x=data_df.launch_angle,y=data_df.launch_speed,color=colour_palette[1])
-        ax.set_xlim(math.floor((min(data_df.launch_angle.dropna())/10))*10,math.ceil((max(data_df.launch_angle.dropna())/10))*10)
-        #ticks=np.arange(revels.values.min(),revels.values.max()+1 )
-        sns.lineplot(x=angle_ev_list_df.launch_angle,y=angle_ev_list_df.launch_speed,color=colour_palette[0])
-        ax.vlines(x=angle_ev_list_df.launch_angle[0],ymin=angle_ev_list_df.launch_speed[0],ymax=ev_ranges[-1],color=colour_palette[0])
-        ax.vlines(x=angle_ev_list_df.launch_angle[len(angle_ev_list_df)-1],ymin=angle_ev_list_df.launch_speed[len(angle_ev_list_df)-1],ymax=ev_ranges[-1],color=colour_palette[0])
+    #     sns.scatterplot(x=data_df.launch_angle,y=data_df.launch_speed,color=colour_palette[1])
+    #     ax.set_xlim(math.floor((min(data_df.launch_angle.dropna())/10))*10,math.ceil((max(data_df.launch_angle.dropna())/10))*10)
+    #     #ticks=np.arange(revels.values.min(),revels.values.max()+1 )
+    #     sns.lineplot(x=angle_ev_list_df.launch_angle,y=angle_ev_list_df.launch_speed,color=colour_palette[0])
+    #     ax.vlines(x=angle_ev_list_df.launch_angle[0],ymin=angle_ev_list_df.launch_speed[0],ymax=ev_ranges[-1],color=colour_palette[0])
+    #     ax.vlines(x=angle_ev_list_df.launch_angle[len(angle_ev_list_df)-1],ymin=angle_ev_list_df.launch_speed[len(angle_ev_list_df)-1],ymax=ev_ranges[-1],color=colour_palette[0])
 
-        groundball = f'{sum(data_df.launch_angle.dropna()<=10)/len(data_df.launch_angle.dropna()):.1%}'
-        linedrive = f'{sum((data_df.launch_angle.dropna()<=25) & (data_df.launch_angle.dropna()>10))/len(data_df.launch_angle.dropna()):.1%}'
-        flyball = f'{sum((data_df.launch_angle.dropna()<=50) & (data_df.launch_angle.dropna()>25))/len(data_df.launch_angle.dropna()):.1%}'
-        popup = f'{sum(data_df.launch_angle.dropna()>50)/len(data_df.launch_angle.dropna()):.1%}'
-        percentages_list = [groundball,linedrive,flyball,popup]
+    #     groundball = f'{sum(data_df.launch_angle.dropna()<=10)/len(data_df.launch_angle.dropna()):.1%}'
+    #     linedrive = f'{sum((data_df.launch_angle.dropna()<=25) & (data_df.launch_angle.dropna()>10))/len(data_df.launch_angle.dropna()):.1%}'
+    #     flyball = f'{sum((data_df.launch_angle.dropna()<=50) & (data_df.launch_angle.dropna()>25))/len(data_df.launch_angle.dropna()):.1%}'
+    #     popup = f'{sum(data_df.launch_angle.dropna()>50)/len(data_df.launch_angle.dropna()):.1%}'
+    #     percentages_list = [groundball,linedrive,flyball,popup]
 
-        hard_hit_percent = f'{sum(data_df.launch_speed.dropna()>=95)/len(data_df.launch_speed.dropna()):.1%}'
+    #     hard_hit_percent = f'{sum(data_df.launch_speed.dropna()>=95)/len(data_df.launch_speed.dropna()):.1%}'
 
-        barrel_percentage = f'{data_df.barrel.dropna().sum()/len(data_df.launch_angle.dropna()):.1%}'
+    #     barrel_percentage = f'{data_df.barrel.dropna().sum()/len(data_df.launch_angle.dropna()):.1%}'
 
-        plt.text(x=27, y=math.ceil((max(data_df.launch_speed.dropna())/5))*5+5-3, s=f'Barrel% {barrel_percentage}',ha='left',bbox=dict(facecolor='white',alpha=0.8, edgecolor=colour_palette[4], pad=5))
+    #     plt.text(x=27, y=math.ceil((max(data_df.launch_speed.dropna())/5))*5+5-3, s=f'Barrel% {barrel_percentage}',ha='left',bbox=dict(facecolor='white',alpha=0.8, edgecolor=colour_palette[4], pad=5))
         
 
-        sample_dates = np.array([math.floor((min(data_df.launch_angle.dropna())/10))*10,10,25,50])
-        sample_text = [f'Groundball ({groundball})',f'Line Drive ({linedrive})',f'Fly Ball ({flyball})',f'Pop-up ({popup})']
+    #     sample_dates = np.array([math.floor((min(data_df.launch_angle.dropna())/10))*10,10,25,50])
+    #     sample_text = [f'Groundball ({groundball})',f'Line Drive ({linedrive})',f'Fly Ball ({flyball})',f'Pop-up ({popup})']
 
-        hard_hit_dates = [95]
-        hard_hit_text = [f'Hard Hit% ({hard_hit_percent})']
+    #     hard_hit_dates = [95]
+    #     hard_hit_text = [f'Hard Hit% ({hard_hit_percent})']
 
 
 
-        #sample_dates = mdates.date2num(sample_dates)
-        plt.hlines(y=hard_hit_dates,xmin=math.floor((min(data_df.launch_angle.dropna())/10))*10, xmax=math.ceil((max(data_df.launch_angle.dropna())/10))*10, color = colour_palette[4],linestyles='--')
-        plt.vlines(x=sample_dates, ymin=0, ymax=130, color = colour_palette[3],linestyles='--')
+    #     #sample_dates = mdates.date2num(sample_dates)
+    #     plt.hlines(y=hard_hit_dates,xmin=math.floor((min(data_df.launch_angle.dropna())/10))*10, xmax=math.ceil((max(data_df.launch_angle.dropna())/10))*10, color = colour_palette[4],linestyles='--')
+    #     plt.vlines(x=sample_dates, ymin=0, ymax=130, color = colour_palette[3],linestyles='--')
 
 
-        # ax.vlines(x=10,ymin=0,ymax=ev_ranges[-1],color=colour_palette[3],linestyles='--')
-        # ax.vlines(x=25,ymin=0,ymax=ev_ranges[-1],color=colour_palette[3],linestyles='--')
-        # ax.vlines(x=50,ymin=0,ymax=ev_ranges[-1],color=colour_palette[3],linestyles='--')
+    #     # ax.vlines(x=10,ymin=0,ymax=ev_ranges[-1],color=colour_palette[3],linestyles='--')
+    #     # ax.vlines(x=25,ymin=0,ymax=ev_ranges[-1],color=colour_palette[3],linestyles='--')
+    #     # ax.vlines(x=50,ymin=0,ymax=ev_ranges[-1],color=colour_palette[3],linestyles='--')
 
 
 
-        for i, x in enumerate(hard_hit_dates):
-            text(math.ceil((max(data_df.launch_angle.dropna())/10))*10-2.5, x+1.25,hard_hit_text[i], rotation=0, ha='right',
-                bbox=dict(facecolor='white',alpha=0.5, edgecolor=colour_palette[4], pad=5))
-
-
-        for i, x in enumerate(sample_dates):
-            text(x+0.75, (math.floor((min(data_df.launch_speed.dropna())/5))*5)+1,sample_text[i], rotation=90, verticalalignment='bottom',
-                bbox=dict(facecolor='white',alpha=0.5, edgecolor=colour_palette[3], pad=5))
-        #ax.vlines(x=math.floor((min(data_df.launch_angle.dropna())/10))*10+1,ymin=0,ymax=ev_ranges[-1],color=colour_palette[3],linestyles='--')
-
-        ax.set_xlim((math.floor((min(data_df.launch_angle.dropna())/10))*10,math.ceil((max(data_df.launch_angle.dropna())/10))*10))
-        ax.set_ylim((math.floor((min(data_df.launch_speed.dropna())/5))*5,math.ceil((max(data_df.launch_speed.dropna())/5))*5+5))
-        # ax.set_xlim(-90,90)
-        # ax.set_ylim(0,125)
-        ax.set_title(f'MLB - {data_df.batter_name.unique()[0]} Launch Angle vs EV Plot', fontsize=18,fontname='Century Gothic',)
-        #vals = ax.get_yticks()
-        ax.set_xlabel('Launch Angle', fontsize=16,fontname='Century Gothic')
-        ax.set_ylabel('Exit Velocity', fontsize=16,fontname='Century Gothic')
-        ax.fill_between(angle_ev_list_df.launch_angle, 130, angle_ev_list_df.launch_speed, interpolate=True, color=colour_palette[3],alpha=0.1,label='Barrel')
-        #fig.colorbar(plot_dist, ax=ax)
-        #fig.colorbar(plot_dist)
-        #fig.axes[0].invert_yaxis()
-        ax.legend(fontsize='16',loc='upper left')
-        fig.text(x=0.03,y=0.02,s='By: @TJStats')
-        fig.text(x=1-0.03,y=0.02,s='Data: MLB',ha='right')
-
-        # fig.text(x=0.25,y=0.02,s='Data: MLB',ha='right')
-        # fig.text(x=0.25,y=0.02,s='Data: MLB',ha='right')
-        # fig.text(x=0.25,y=0.02,s='Data: MLB',ha='right')
-        #cbar = plt.colorbar()
-        #fig.subplots_adjust(wspace=.02, hspace=.02)
-        #ax.xaxis.set_major_formatter(FuncFormatter(lambda x, _: int(x)))
-        fig.set_facecolor('white')
-        fig.tight_layout()
+    #     for i, x in enumerate(hard_hit_dates):
+    #         text(math.ceil((max(data_df.launch_angle.dropna())/10))*10-2.5, x+1.25,hard_hit_text[i], rotation=0, ha='right',
+    #             bbox=dict(facecolor='white',alpha=0.5, edgecolor=colour_palette[4], pad=5))
+
+
+    #     for i, x in enumerate(sample_dates):
+    #         text(x+0.75, (math.floor((min(data_df.launch_speed.dropna())/5))*5)+1,sample_text[i], rotation=90, verticalalignment='bottom',
+    #             bbox=dict(facecolor='white',alpha=0.5, edgecolor=colour_palette[3], pad=5))
+    #     #ax.vlines(x=math.floor((min(data_df.launch_angle.dropna())/10))*10+1,ymin=0,ymax=ev_ranges[-1],color=colour_palette[3],linestyles='--')
+
+    #     ax.set_xlim((math.floor((min(data_df.launch_angle.dropna())/10))*10,math.ceil((max(data_df.launch_angle.dropna())/10))*10))
+    #     ax.set_ylim((math.floor((min(data_df.launch_speed.dropna())/5))*5,math.ceil((max(data_df.launch_speed.dropna())/5))*5+5))
+    #     # ax.set_xlim(-90,90)
+    #     # ax.set_ylim(0,125)
+    #     ax.set_title(f'MLB - {data_df.batter_name.unique()[0]} Launch Angle vs EV Plot', fontsize=18,fontname='Century Gothic',)
+    #     #vals = ax.get_yticks()
+    #     ax.set_xlabel('Launch Angle', fontsize=16,fontname='Century Gothic')
+    #     ax.set_ylabel('Exit Velocity', fontsize=16,fontname='Century Gothic')
+    #     ax.fill_between(angle_ev_list_df.launch_angle, 130, angle_ev_list_df.launch_speed, interpolate=True, color=colour_palette[3],alpha=0.1,label='Barrel')
+    #     #fig.colorbar(plot_dist, ax=ax)
+    #     #fig.colorbar(plot_dist)
+    #     #fig.axes[0].invert_yaxis()
+    #     ax.legend(fontsize='16',loc='upper left')
+    #     fig.text(x=0.03,y=0.02,s='By: @TJStats')
+    #     fig.text(x=1-0.03,y=0.02,s='Data: MLB',ha='right')
+
+    #     # fig.text(x=0.25,y=0.02,s='Data: MLB',ha='right')
+    #     # fig.text(x=0.25,y=0.02,s='Data: MLB',ha='right')
+    #     # fig.text(x=0.25,y=0.02,s='Data: MLB',ha='right')
+    #     #cbar = plt.colorbar()
+    #     #fig.subplots_adjust(wspace=.02, hspace=.02)
+    #     #ax.xaxis.set_major_formatter(FuncFormatter(lambda x, _: int(x)))
+    #     fig.set_facecolor('white')
+    #     fig.tight_layout()
 
 spray = App(ui.page_fluid(
     ui.tags.base(href=base_url), 
@@ -1040,8 +1040,6 @@ spray = App(ui.page_fluid(
             ui.nav("Damage Roll",
                    ui.output_plot('roll_plot',
                                   width='1200px',
-                                  height='1200px')),
-            ui.nav("EV vs LA",
-                    ui.output_plot("ev_plot",height = "1000px",width="1000px")),id="my_tabs", 
+                                  height='1200px')),id="my_tabs", 
         )
     )),)),server)