Update app.py
Browse files
app.py
CHANGED
@@ -47,8 +47,8 @@ expose_format = {'Proj Own': '{:.2%}','Exposure': '{:.2%}'}
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all_dk_player_projections = 'https://docs.google.com/spreadsheets/d/1I_1Ve3F4tftgfLQQoRKOJ351XfEG48s36OxXUKxmgS8/edit#gid=1391856348'
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@st.cache_resource(ttl=
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def
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sh = gc.open_by_url(all_dk_player_projections)
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worksheet = sh.worksheet('SD_Projections')
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load_display = pd.DataFrame(worksheet.get_all_records())
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@@ -56,52 +56,48 @@ def load_dk_player_projections():
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raw_display = load_display.dropna(subset=['PPR'])
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raw_display.rename(columns={"name": "Player", "PPR": "Median"}, inplace = True)
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raw_display = raw_display[['Player', 'Salary', 'Position', 'Team', 'Opp', 'Median', 'Own', 'rush_yards', 'rec']]
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return raw_display
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@st.cache_resource(ttl=30)
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def load_fd_player_projections():
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sh = gc.open_by_url(all_dk_player_projections)
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worksheet = sh.worksheet('FD_SD_Projections')
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load_display = pd.DataFrame(worksheet.get_all_records())
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load_display.replace('', np.nan, inplace=True)
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raw_display = load_display.dropna(subset=['Half_PPR'])
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raw_display.rename(columns={"name": "Player", "Half_PPR": "Median"}, inplace = True)
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raw_display = raw_display[['Player', 'Salary', 'Position', 'Team', 'Opp', 'Median', 'Own', 'rush_yards', 'rec']]
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return raw_display
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@st.cache_resource(ttl=600)
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def load_dk_player_projections_2():
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sh = gc.open_by_url(all_dk_player_projections)
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worksheet = sh.worksheet('SD_Projections_2')
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load_display = pd.DataFrame(worksheet.get_all_records())
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load_display.replace('', np.nan, inplace=True)
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raw_display = load_display.dropna(subset=['PPR'])
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raw_display.rename(columns={"name": "Player", "PPR": "Median"}, inplace = True)
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raw_display = raw_display[['Player', 'Salary', 'Position', 'Team', 'Opp', 'Median', 'Own', 'rush_yards', 'rec']]
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return raw_display
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@st.cache_resource(ttl=600)
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def load_fd_player_projections_2():
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sh = gc.open_by_url(all_dk_player_projections)
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worksheet = sh.worksheet('FD_SD_Projections_2')
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load_display = pd.DataFrame(worksheet.get_all_records())
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load_display.replace('', np.nan, inplace=True)
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raw_display = load_display.dropna(subset=['Half_PPR'])
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raw_display.rename(columns={"name": "Player", "Half_PPR": "Median"}, inplace = True)
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raw_display = raw_display[['Player', 'Salary', 'Position', 'Team', 'Opp', 'Median', 'Own', 'rush_yards', 'rec']]
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@st.cache_resource(ttl = 3600)
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def set_export_ids():
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sh = gc.open_by_url(all_dk_player_projections)
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worksheet = sh.worksheet('SD_Projections')
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load_display = pd.DataFrame(worksheet.get_all_records())
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load_display.replace('', np.nan, inplace=True)
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@@ -116,13 +112,9 @@ def set_export_ids():
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raw_display = load_display.dropna(subset=['Median'])
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fd_ids = dict(zip(raw_display['Player'], raw_display['player_id']))
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return dk_ids, fd_ids
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dk_roo_raw =
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dk_roo_raw_2 = load_dk_player_projections_2()
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fd_roo_raw = load_fd_player_projections()
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fd_roo_raw_2 = load_fd_player_projections_2()
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dkid_dict, fdid_dict = set_export_ids()
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@st.cache_data
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def convert_df_to_csv(df):
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@@ -161,12 +153,8 @@ with tab2:
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with col1:
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if st.button("Load/Reset Data", key='reset2'):
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st.cache_data.clear()
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dk_roo_raw =
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fd_roo_raw = load_fd_player_projections()
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fd_roo_raw_2 = load_fd_player_projections_2()
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dkid_dict, fdid_dict = set_export_ids()
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slate_var2 = st.radio("Which data are you loading?", ('Paydirt (Main)', 'Paydirt (Secondary)', 'User'), key='slate_var2')
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site_var2 = st.radio("What table would you like to display?", ('Draftkings', 'Fanduel'), key='site_var2')
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if slate_var2 == 'User':
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raw_baselines = proj_dataframe
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@@ -176,11 +164,15 @@ with tab2:
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raw_baselines = dk_roo_raw
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elif slate_var2 == 'Paydirt (Secondary)':
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raw_baselines = dk_roo_raw_2
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elif site_var2 == 'Fanduel':
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if slate_var2 == 'Paydirt (Main)':
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raw_baselines = fd_roo_raw
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elif slate_var2 == 'Paydirt (Secondary)':
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raw_baselines = fd_roo_raw_2
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with col2:
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hold_container = st.empty()
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@@ -289,14 +281,10 @@ with tab3:
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with col1:
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if st.button("Load/Reset Data", key='reset1'):
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st.cache_data.clear()
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dk_roo_raw =
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dk_roo_raw_2 = load_dk_player_projections_2()
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fd_roo_raw = load_fd_player_projections()
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fd_roo_raw_2 = load_fd_player_projections_2()
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dkid_dict, fdid_dict = set_export_ids()
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for key in st.session_state.keys():
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del st.session_state[key]
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slate_var1 = st.radio("Which data are you loading?", ('Paydirt (Main)', 'Paydirt (Secondary)', 'User'), key='slate_var1')
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site_var1 = st.selectbox("What site is the showdown on?", ('Draftkings', 'Fanduel'), key='site_var1')
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if site_var1 == 'Draftkings':
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if slate_var1 == 'User':
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@@ -305,6 +293,8 @@ with tab3:
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raw_baselines = dk_roo_raw
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elif slate_var1 == 'Paydirt (Secondary)':
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raw_baselines = dk_roo_raw_2
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elif site_var1 == 'Fanduel':
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if slate_var1 == 'User':
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st.info("Showdown on Fanduel sucks, you should not do that, but I understand degen's gotta degen")
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@@ -315,6 +305,9 @@ with tab3:
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elif slate_var1 == 'Paydirt (Secondary)':
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st.info("Showdown on Fanduel sucks, you should not do that, but I understand degen's gotta degen")
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raw_baselines = fd_roo_raw_2
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contest_var1 = st.selectbox("What contest type are you optimizing for?", ('Cash', 'Small Field GPP', 'Large Field GPP'), key='contest_var1')
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lock_var1 = st.multiselect("Are there any players you want to use in all lineups in the CAPTAIN (Lock Button)?", options = raw_baselines['Player'].unique(), key='lock_var1')
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lock_var2 = st.multiselect("Are there any players you want to use in all lineups in the FLEX (Lock Button)?", options = raw_baselines['Player'].unique(), key='lock_var2')
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all_dk_player_projections = 'https://docs.google.com/spreadsheets/d/1I_1Ve3F4tftgfLQQoRKOJ351XfEG48s36OxXUKxmgS8/edit#gid=1391856348'
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@st.cache_resource(ttl=300)
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def init_baselines():
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sh = gc.open_by_url(all_dk_player_projections)
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worksheet = sh.worksheet('SD_Projections')
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load_display = pd.DataFrame(worksheet.get_all_records())
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raw_display = load_display.dropna(subset=['PPR'])
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raw_display.rename(columns={"name": "Player", "PPR": "Median"}, inplace = True)
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raw_display = raw_display[['Player', 'Salary', 'Position', 'Team', 'Opp', 'Median', 'Own', 'rush_yards', 'rec']]
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dk_roo_raw = raw_display.loc[raw_display['Median'] > 0]
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worksheet = sh.worksheet('FD_SD_Projections')
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load_display = pd.DataFrame(worksheet.get_all_records())
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load_display.replace('', np.nan, inplace=True)
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raw_display = load_display.dropna(subset=['Half_PPR'])
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raw_display.rename(columns={"name": "Player", "Half_PPR": "Median"}, inplace = True)
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raw_display = raw_display[['Player', 'Salary', 'Position', 'Team', 'Opp', 'Median', 'Own', 'rush_yards', 'rec']]
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fd_roo_raw = raw_display.loc[raw_display['Median'] > 0]
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worksheet = sh.worksheet('SD_Projections_2')
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load_display = pd.DataFrame(worksheet.get_all_records())
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load_display.replace('', np.nan, inplace=True)
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raw_display = load_display.dropna(subset=['PPR'])
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raw_display.rename(columns={"name": "Player", "PPR": "Median"}, inplace = True)
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raw_display = raw_display[['Player', 'Salary', 'Position', 'Team', 'Opp', 'Median', 'Own', 'rush_yards', 'rec']]
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dk_roo_raw_2 = raw_display.loc[raw_display['Median'] > 0]
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worksheet = sh.worksheet('FD_SD_Projections_2')
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load_display = pd.DataFrame(worksheet.get_all_records())
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load_display.replace('', np.nan, inplace=True)
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raw_display = load_display.dropna(subset=['Half_PPR'])
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raw_display.rename(columns={"name": "Player", "Half_PPR": "Median"}, inplace = True)
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raw_display = raw_display[['Player', 'Salary', 'Position', 'Team', 'Opp', 'Median', 'Own', 'rush_yards', 'rec']]
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fd_roo_raw_2 = raw_display.loc[raw_display['Median'] > 0]
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worksheet = sh.worksheet('SD_Projections_3')
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load_display = pd.DataFrame(worksheet.get_all_records())
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load_display.replace('', np.nan, inplace=True)
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raw_display = load_display.dropna(subset=['PPR'])
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raw_display.rename(columns={"name": "Player", "PPR": "Median"}, inplace = True)
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raw_display = raw_display[['Player', 'Salary', 'Position', 'Team', 'Opp', 'Median', 'Own', 'rush_yards', 'rec']]
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dk_roo_raw_3 = raw_display.loc[raw_display['Median'] > 0]
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worksheet = sh.worksheet('FD_SD_Projections_3')
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load_display = pd.DataFrame(worksheet.get_all_records())
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load_display.replace('', np.nan, inplace=True)
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raw_display = load_display.dropna(subset=['Half_PPR'])
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raw_display.rename(columns={"name": "Player", "Half_PPR": "Median"}, inplace = True)
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raw_display = raw_display[['Player', 'Salary', 'Position', 'Team', 'Opp', 'Median', 'Own', 'rush_yards', 'rec']]
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fd_roo_raw_3 = raw_display.loc[raw_display['Median'] > 0]
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worksheet = sh.worksheet('SD_Projections')
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load_display = pd.DataFrame(worksheet.get_all_records())
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load_display.replace('', np.nan, inplace=True)
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raw_display = load_display.dropna(subset=['Median'])
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fd_ids = dict(zip(raw_display['Player'], raw_display['player_id']))
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return dk_roo_raw, dk_roo_raw_2, dk_roo_raw_3, fd_roo_raw, fd_roo_raw_2, fd_roo_raw_3, dk_ids, fd_ids
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dk_roo_raw, dk_roo_raw_2, dk_roo_raw_3, fd_roo_raw, fd_roo_raw_2, fd_roo_raw_3, dkid_dict, fdid_dict = init_baselines()
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@st.cache_data
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def convert_df_to_csv(df):
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with col1:
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if st.button("Load/Reset Data", key='reset2'):
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st.cache_data.clear()
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dk_roo_raw, dk_roo_raw_2, dk_roo_raw_3, fd_roo_raw, fd_roo_raw_2, fd_roo_raw_3, dkid_dict, fdid_dict = init_baselines()
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slate_var2 = st.radio("Which data are you loading?", ('Paydirt (Main)', 'Paydirt (Secondary)', 'Payidrt (Third)', 'User'), key='slate_var2')
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site_var2 = st.radio("What table would you like to display?", ('Draftkings', 'Fanduel'), key='site_var2')
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if slate_var2 == 'User':
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raw_baselines = proj_dataframe
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raw_baselines = dk_roo_raw
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elif slate_var2 == 'Paydirt (Secondary)':
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raw_baselines = dk_roo_raw_2
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elif slate_var2 == 'Paydirt (Third)':
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raw_baselines = dk_roo_raw_3
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elif site_var2 == 'Fanduel':
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if slate_var2 == 'Paydirt (Main)':
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raw_baselines = fd_roo_raw
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elif slate_var2 == 'Paydirt (Secondary)':
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raw_baselines = fd_roo_raw_2
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elif slate_var2 == 'Paydirt (Third)':
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raw_baselines = fd_roo_raw_3
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with col2:
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hold_container = st.empty()
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with col1:
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if st.button("Load/Reset Data", key='reset1'):
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st.cache_data.clear()
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dk_roo_raw, dk_roo_raw_2, dk_roo_raw_3, fd_roo_raw, fd_roo_raw_2, fd_roo_raw_3, dkid_dict, fdid_dict = init_baselines()
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for key in st.session_state.keys():
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del st.session_state[key]
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slate_var1 = st.radio("Which data are you loading?", ('Paydirt (Main)', 'Paydirt (Secondary)', 'Payidrt (Third)', 'User'), key='slate_var1')
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site_var1 = st.selectbox("What site is the showdown on?", ('Draftkings', 'Fanduel'), key='site_var1')
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if site_var1 == 'Draftkings':
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if slate_var1 == 'User':
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raw_baselines = dk_roo_raw
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elif slate_var1 == 'Paydirt (Secondary)':
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raw_baselines = dk_roo_raw_2
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elif slate_var1 == 'Paydirt (Third)':
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raw_baselines = dk_roo_raw_3
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elif site_var1 == 'Fanduel':
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if slate_var1 == 'User':
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st.info("Showdown on Fanduel sucks, you should not do that, but I understand degen's gotta degen")
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elif slate_var1 == 'Paydirt (Secondary)':
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st.info("Showdown on Fanduel sucks, you should not do that, but I understand degen's gotta degen")
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raw_baselines = fd_roo_raw_2
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elif slate_var1 == 'Paydirt (Third)':
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st.info("Showdown on Fanduel sucks, you should not do that, but I understand degen's gotta degen")
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raw_baselines = fd_roo_raw_3
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contest_var1 = st.selectbox("What contest type are you optimizing for?", ('Cash', 'Small Field GPP', 'Large Field GPP'), key='contest_var1')
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lock_var1 = st.multiselect("Are there any players you want to use in all lineups in the CAPTAIN (Lock Button)?", options = raw_baselines['Player'].unique(), key='lock_var1')
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lock_var2 = st.multiselect("Are there any players you want to use in all lineups in the FLEX (Lock Button)?", options = raw_baselines['Player'].unique(), key='lock_var2')
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