Update app.py

app.py

@@ -9,9 +9,6 @@ import numpy as np
 import pandas as pd
 import streamlit as st
 import gspread
-import gc
-import plotly.express as px
-import plotly.io as pio
 import pymongo
 import certifi
 ca = certifi.where()
@@ -231,7 +228,7 @@ indv_pitchers = pitcher_gamelog_table.drop_duplicates(subset='Player')
 total_pitchers = indv_pitchers.Player.values.tolist()
 total_dates = hitter_gamelog_table.Date.values.tolist()
 
-tab1, tab2 = st.tabs(['Hitter Gamelogs', 'Pitcher Gamelogs'])
+tab1, tab2, tab3 = st.tabs(['Hitter Gamelogs', 'Pitcher Gamelogs', 'Sample Graphs'])
 
 with tab1:
     st.info(t_stamp)
@@ -481,4 +478,76 @@ with tab2:
                     data=convert_df_to_csv(gamelog_data),
                     file_name='Gamelogs_Hitter_View.csv',
                     mime='text/csv',
-            )
+            )
+
+with tab3:
+    st.info(t_stamp)
+    col1, col2 = st.columns([1, 9])
+    with col1:
+        if st.button("Reset Data", key='reset3'):
+                  st.cache_data.clear()
+                  hitter_gamelog_table, pitcher_gamelog_table, timestamp = init_baselines()
+                  t_stamp = f"Updated through: " + str(timestamp) + f" CST"
+
+                  basic_cols = ['Player', 'Team', 'Date']
+
+                  basic_season_cols = ['Player', 'Team', 'Date']
+
+                  hitter_data_cols = ['G', 'AB', 'PA', 'H', '1B', '2B', '3B', 'HR', 'R', 'RBI', 'BB', 'IBB', 'SO', 'HBP', 'SF', 'SH',
+                                      'GDP', 'SB', 'CS', 'AVG', 'SLG', 'wRC+', 'LD%', 'GB%', 'FB%', 'Hard%', 'Barrels', 'Barrel%']
+
+                  season_hitter_data_cols = ['G', 'AB', 'PA', 'H', '1B', '2B', '3B', 'HR', 'R', 'RBI', 'BB', 'IBB', 'SO', 'HBP', 'SF', 'SH',
+                                             'GDP', 'SB', 'CS', 'Avg AVG', 'Avg SLG', 'Avg wRC+', 'Avg LD%', 'Avg GB%', 'Avg FB%', 'Avg Hard%', 'Barrels', 'Avg Barrel%']
+
+                  pitcher_data_cols = ['G', 'GS', 'CG', 'W', 'L', 'ERA', 'ShO', 'SV', 'HLD', 'BS', 'IP', 'TBF', 'H', 'R', 'ER', 'HR',
+                                       'BB', 'IBB', 'HBP', 'WP', 'BK', 'SO', 'K/9', 'BB/9', 'WHIP', 'BABIP', 'LOB%', 'FIP', 'xFIP', 'K%', 'BB%', 'SIERA', 'LD%', 'GB%',
+                                       'FB%', 'HR/FB', 'Hard%', 'Barrels', 'Barrel%', 'xERA', 'vFA', 'vFT', 'vFC', 'vFS', 'vFO', 'vSI',
+                                       'vSL', 'vCU', 'vKC', 'vEP', 'vCH', 'vSC', 'vKN']
+
+                  season_pitcher_data_cols = ['G', 'GS', 'CG', 'W', 'L', 'Avg ERA', 'ShO', 'SV', 'HLD', 'BS', 'IP', 'TBF', 'H', 'R', 'ER', 'HR',
+                                              'BB', 'IBB', 'HBP', 'WP', 'BK', 'SO', 'Avg K/9', 'Avg BB/9', 'Avg WHIP', 'Avg BABIP', 'Avg LOB%', 'Avg FIP', 'Avg xFIP', 'Avg K%',
+                                              'Avg BB%', 'Avg SIERA', 'Avg LD%', 'Avg GB%', 'Avg FB%', 'Avg HR/FB', 'Avg Hard%', 'Barrels', 'Avg Barrel%', 'Avg xERA', 'Avg vFA',
+                                              'Avg vFT', 'Avg vFC', 'Avg vFS', 'Avg vFO', 'Avg vSI', 'Avg vSL', 'Avg vCU', 'Avg vKC', 'Avg vEP', 'Avg vCH', 'Avg vSC', 'Avg vKN']
+
+                  indv_teams = hitter_gamelog_table.drop_duplicates(subset='Team')
+                  total_teams = indv_teams.Team.values.tolist()
+                  indv_hitters = hitter_gamelog_table.drop_duplicates(subset='Player')
+                  total_hitters = indv_hitters.Player.values.tolist()
+                  indv_pitchers = pitcher_gamelog_table.drop_duplicates(subset='Player')
+                  total_pitchers = indv_pitchers.Player.values.tolist()
+                  total_dates = hitter_gamelog_table.Date.values.tolist()
+        
+        plot_type = st.radio("Are you viewing hitter or pitcher stats?", ('Pitcher', 'Hitter'), key='plot_type')
+        if plot_type == "Pitcher":
+            player_drop = total_pitchers
+            stat_drop = pitcher_data_cols
+        elif plot_type == "Hitter":
+            player_drop = total_hitters
+            stat_drop = hitter_data_cols
+        player_var3 = st.selectbox("Which player are you viewing?", player_drop, key='player_var3')
+        plot_count = st.radio("how many stats would you like to plot?", ('One', 'Two', 'three'), key='plot_count')
+        if plot_count == "One":
+            plot_var1 = st.selectbox("Which stat are you viewing?", stat_drop, key='plot_var1')
+        elif plot_count == "Two":
+            plot_var1 = st.selectbox("Which stat are you viewing?", stat_drop, key='plot_var1')
+            plot_var2 = st.selectbox("Which stat are you viewing?", stat_drop, key='plot_var2')
+        elif plot_count == "Three":
+            plot_var1 = st.selectbox("Which stat are you viewing?", stat_drop, key='plot_var1')
+            plot_var2 = st.selectbox("Which stat are you viewing?", stat_drop, key='plot_var2')
+            plot_var3 = st.selectbox("Which stat are you viewing?", stat_drop, key='plot_var3')
+            
+        date_var_3 = st.radio("Would you like to view all dates or specific ones?", ('All', 'Specific Dates'), key='date_var_3')
+        
+        if date_var_3 == 'Specific Dates':
+            plot_low_date = st.date_input('Min Date:', value=None, format="YYYY-MM-DD", key='plot_low_date')
+            if plot_low_date is not None:
+                plot_low_date = pd.to_datetime(plot_low_date).date()
+            plot_high_date = st.date_input('Max Date:', value=None, format="YYYY-MM-DD", key='plot_high_date')
+            if plot_high_date is not None:
+                plot_high_date = pd.to_datetime(plot_high_date).date()
+        elif date_var_3 == 'All':
+            plot_low_date = pitcher_gamelog_table['Date'].min()
+            plot_high_date = pitcher_gamelog_table['Date'].max()
+    
+    with col2:
+        st.write("Things will go here")