Add ftn charting and team formations

src/pages/8_FTN_Charting.py

@@ -0,0 +1,39 @@
+import datetime
+import streamlit as st
+
+from config import DEFAULT_ICON
+from shared_page import common_page_config
+
+from queries.footballguys.constants import YEAR
+from queries.nflverse.github_data import get_ftn_charting
+
+
+@st.cache_data(ttl=60 * 60 * 24)
+def load_data():
+    data = get_ftn_charting(YEAR)
+    data_load_time_str = datetime.datetime.utcnow().strftime("%m/%d/%Y %I:%M %p")
+    return data, data_load_time_str
+
+
+def get_page():
+    page_title = f"FTN Charting - {YEAR}"
+    st.set_page_config(page_title=page_title, page_icon=DEFAULT_ICON, layout="wide")
+    common_page_config()
+    st.title(page_title)
+    if st.button("Refresh Data"):
+        st.cache_data.clear()
+    data, data_load_time_str = load_data()
+    st.write(f"Data loaded as of: {data_load_time_str} UTC")
+
+    with st.container():
+        filtered_data = data
+        st.dataframe(
+            filtered_data,
+            hide_index=True,
+            # height=35 * (len(filtered_data) + 1) + 12,
+            use_container_width=False,
+        )
+
+
+if __name__ == "__main__":
+    get_page()

src/pages/9_Team_Formations.py

@@ -0,0 +1,76 @@
+import datetime
+import streamlit as st
+
+from config import DEFAULT_ICON
+from shared_page import common_page_config
+
+from queries.footballguys.constants import YEAR
+from queries.nflverse.github_data import get_pbp_participation
+
+
+@st.cache_data(ttl=60 * 60 * 24)
+def load_data():
+    data = get_pbp_participation(YEAR)
+    # data = data[data.fantasy_position]
+    teams_list = sorted(filter(None, data.possession_team.unique()))
+    # position_list = data.position.unique()
+    # weeks_list = sorted(data.week.unique())
+    data_load_time_str = datetime.datetime.utcnow().strftime("%m/%d/%Y %I:%M %p")
+    return data, teams_list, data_load_time_str
+
+
+def get_page():
+    page_title = f"Team Formations - {YEAR}"
+    st.set_page_config(page_title=page_title, page_icon=DEFAULT_ICON, layout="wide")
+    common_page_config()
+    st.title(page_title)
+    if st.button("Refresh Data"):
+        st.cache_data.clear()
+    data, teams_list, data_load_time_str = load_data()
+    st.write(f"Data loaded as of: {data_load_time_str} UTC")
+    default_groups = [
+        "possession_team",
+        "offense_formation",
+    ]
+    group_options = [
+        "possession_team",
+        "offense_formation",
+        "offense_personnel",
+        "number_of_pass_rushers",
+        "defenders_in_box",
+        "defense_personnel",
+    ]
+    group_by_selected = st.multiselect("Group by:", group_options) or default_groups
+    teams_selected = st.multiselect("Team:", teams_list, placeholder="Select a team to filter") or teams_list
+
+    with st.container():
+        filtered_data = data[(data.possession_team.isin(teams_selected))]
+        grouped_data = filtered_data.groupby(group_by_selected).size()
+        st.dataframe(
+            grouped_data,
+            hide_index=False,
+            # height=35 * (len(filtered_data) + 1) + 12,
+            use_container_width=False,
+            # column_order=[
+            #     "season",
+            #     "game_type",
+            #     "week",
+            #     "player",
+            #     "position",
+            #     "team",
+            #     "opponent",
+            #     "offense_snaps",
+            #     "offense_pct",
+            #     "defense_snaps",
+            #     "defense_pct",
+            #     "st_snaps",
+            #     "st_pct",
+            # ],
+            column_config={
+                "0": st.column_config.NumberColumn(label="Count"),
+            },
+        )
+
+
+if __name__ == "__main__":
+    get_page()

src/queries/nflverse/github_data.py

@@ -29,3 +29,11 @@ def get_play_by_play(season_int: int) -> pd.DataFrame:
 
 def get_player_stats(season_int: int) -> pd.DataFrame:
     return get_parquet_github(season_int, "player_stats/player_stats")
+
+
+def get_ftn_charting(season_int: int) -> pd.DataFrame:
+    return get_parquet_github(season_int, "ftn_charting/ftn_charting")
+
+
+def get_pbp_participation(season_int: int) -> pd.DataFrame:
+    return get_parquet_github(season_int, "pbp_participation/pbp_participation")