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import datetime |
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import numpy as np |
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import streamlit as st |
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from config import DEFAULT_ICON |
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from shared_page import common_page_config |
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from queries.footballguys.constants import YEAR |
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from queries.footballguys.refresh import request_stat |
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from streamlit_filter import filter_dataframe |
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@st.cache_data(ttl=60 * 60 * 24) |
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def load_data(): |
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stat_name = "redzone" |
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data = request_stat(stat_name) |
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data_load_time_str = datetime.datetime.utcnow().strftime("%m/%d/%Y %I:%M %p") |
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return data, data_load_time_str |
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def get_page(): |
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page_title = f"Player Redzone Opportunities - {YEAR}" |
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st.set_page_config(page_title=page_title, page_icon=DEFAULT_ICON, layout="wide") |
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common_page_config() |
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st.title(page_title) |
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if st.button("Refresh Data"): |
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st.cache_data.clear() |
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data, data_load_time_str = load_data() |
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st.write(f"Data loaded as of: {data_load_time_str} UTC") |
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selected_subtotals = st.selectbox("Show:", ["Player Totals", "Position Totals"], index=0) |
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if selected_subtotals == "Player Totals": |
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data = data[~data.name.str.contains(" Totals")] |
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elif selected_subtotals == "Position Totals": |
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data = data[data.name.str.contains(" Totals")] |
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value_types = st.selectbox("Counts / Percent:", ["Counts", "Percent"], index=0) |
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if value_types == "Percent": |
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numerical_data = data.select_dtypes(include=np.number) |
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numerical_cols = numerical_data.columns |
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df_percent_values = numerical_data / data.groupby("TEAM").transform(sum).select_dtypes(include=np.number) |
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data.loc[:, numerical_cols] = df_percent_values |
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with st.container(): |
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filtered_data = filter_dataframe(data) |
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st.dataframe( |
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filtered_data, |
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hide_index=True, |
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height=35 * (len(filtered_data) + 1) + 12, |
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use_container_width=False, |
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column_config={}, |
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) |
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if __name__ == "__main__": |
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get_page() |
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