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Update app.py
Browse files
app.py
CHANGED
@@ -26,7 +26,7 @@ gc = gspread.service_account_from_dict(credentials)
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st.set_page_config(layout="wide")
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american_format = {'OwnAvg': '{:.2%}'}
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-
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@st.cache_resource(ttl = 600)
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def init_baselines():
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@@ -119,17 +119,48 @@ def init_baselines():
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flex_frame = flex_frame.sort_values(by='GPP Rank', ascending=False)
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@st.cache_resource()
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def convert_df_to_csv(df):
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return df.to_csv().encode('utf-8')
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qb_frame, rb_frame, wr_frame, flex_frame = init_baselines()
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tab1, tab2, tab3, tab4 = st.tabs(['QB data', 'RB data', 'WR data', 'Flex data'])
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with tab1:
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with st.container():
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st.dataframe(qb_frame.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(american_format, precision=2), height = 1000, use_container_width = True)
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st.download_button(
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@@ -138,7 +169,7 @@ with tab1:
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file_name='NCAAF_QB_model_export.csv',
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mime='text/csv',
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)
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with
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with st.container():
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st.dataframe(rb_frame.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(american_format, precision=2), height = 1000, use_container_width = True)
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st.download_button(
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@@ -147,7 +178,7 @@ with tab2:
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file_name='NCAAF_RB_model_export.csv',
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mime='text/csv',
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)
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with
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with st.container():
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st.dataframe(wr_frame.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(american_format, precision=2), height = 1000, use_container_width = True)
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st.download_button(
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@@ -156,7 +187,7 @@ with tab3:
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file_name='NCAAF_WR_model_export.csv',
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mime='text/csv',
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)
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with
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with st.container():
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st.dataframe(flex_frame.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(american_format, precision=2), height = 1000, use_container_width = True)
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st.download_button(
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st.set_page_config(layout="wide")
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american_format = {'OwnAvg': '{:.2%}'}
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stacks_format = {'Total Own': '{:.2%}'}
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@st.cache_resource(ttl = 600)
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def init_baselines():
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flex_frame = flex_frame.sort_values(by='GPP Rank', ascending=False)
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worksheet = sh.worksheet('Stacks')
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all_values = worksheet.get_all_values()
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cell_vals = [row[0:30] for row in all_values[1:500]]
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frame_hold = pd.DataFrame(cell_vals, columns=['Team', 'Opp', 'd1', 'd2', 'Game Stack', 'd3', 'd4', 'd5', 'd6', 'd7', 'd8', 'd9', 'd10', 'd11', 'd12', 'd13', 'd14', 'Team Stack',
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'15', '16', '17', '18', '19', '20', '21', 'Total Stack Cost', 'Total Own', 'Total Points', 'Points/$'])
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frame_hold['Total Points'] = frame_hold['Total Points'].astype(float)
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frame_hold['Total Own'] = frame_hold['Total Own'].str.replace('%', '').astype(float)/100
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stack_frame = frame_hold[['Team', 'Opp', 'Game Stack', 'Team Stack', 'Total Stack Cost', 'Total Own', 'Total Points', 'Points/$']]
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string_cols = ['Team', 'Opp']
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stack_frame = stack_frame.drop_duplicates(subset='Team')
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stack_frame = stack_frame.set_index('Team')
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for col in stack_frame.columns:
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if col not in string_cols:
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try:
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stack_frame[col] = pd.to_numeric(stack_frame[col], errors='coerce')
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except ValueError:
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pass # Ignore columns that cannot be converted
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stack_frame = stack_frame.sort_values(by='Team Stack', ascending=False)
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return qb_frame, rb_frame, wr_frame, flex_frame, stack_frame
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@st.cache_resource()
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def convert_df_to_csv(df):
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return df.to_csv().encode('utf-8')
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qb_frame, rb_frame, wr_frame, flex_frame, stack_frame = init_baselines()
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tab1, tab2, tab3, tab4, tab5 = st.tabs(['Stacks data', 'QB data', 'RB data', 'WR data', 'Flex data'])
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with tab1:
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with st.container():
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st.dataframe(stack_frame.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(stacks_format, precision=2), height = 1000, use_container_width = True)
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st.download_button(
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label="Export Tables",
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data=convert_df_to_csv(stack_frame),
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file_name='NCAAF_Stacks_model_export.csv',
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mime='text/csv',
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)
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with tab2:
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with st.container():
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st.dataframe(qb_frame.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(american_format, precision=2), height = 1000, use_container_width = True)
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st.download_button(
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file_name='NCAAF_QB_model_export.csv',
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mime='text/csv',
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)
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with tab3:
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with st.container():
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st.dataframe(rb_frame.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(american_format, precision=2), height = 1000, use_container_width = True)
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st.download_button(
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file_name='NCAAF_RB_model_export.csv',
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mime='text/csv',
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)
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with tab4:
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with st.container():
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st.dataframe(wr_frame.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(american_format, precision=2), height = 1000, use_container_width = True)
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st.download_button(
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file_name='NCAAF_WR_model_export.csv',
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mime='text/csv',
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)
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with tab5:
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with st.container():
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st.dataframe(flex_frame.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(american_format, precision=2), height = 1000, use_container_width = True)
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st.download_button(
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