Add Snap Counts with filters and allow for option in streamlit_filter

src/pages/7_Snap_Counts.py

@@ -17,7 +17,7 @@ def load_data():
 
 
 def get_page():
-    page_title = f"Player Redzone Opportunities - {YEAR}"
+    page_title = f"Snap Counts and Percentages - {YEAR}"
     st.set_page_config(page_title=page_title, page_icon=DEFAULT_ICON, layout="wide")
     common_page_config()
     st.title(page_title)
@@ -27,13 +27,30 @@ def get_page():
     st.write(f"Data loaded as of: {data_load_time_str} UTC")
 
     with st.container():
-        filtered_data = filter_dataframe(data)
+        filtered_data = filter_dataframe(data, force_on=True, force_on_columns=["team", "position", "week", "opponent"])
         st.dataframe(
             filtered_data,
             hide_index=True,
             # height=35 * (len(filtered_data) + 1) + 12,
             use_container_width=False,
-            column_config={},
+            column_order=[
+                "season",
+                "game_type",
+                "week",
+                "player",
+                "position",
+                "team",
+                "opponent",
+                "offense_snaps",
+                "offense_pct",
+                "defense_snaps",
+                "defense_pct",
+                "st_snaps",
+                "st_pct",
+            ],
+            column_config={
+                "season": st.column_config.TextColumn(help="Year of NFL Season"),
+            },
         )
 
 

src/streamlit_filter.py

@@ -10,7 +10,7 @@ import pandas as pd
 import streamlit as st
 
 
-def filter_dataframe(df: pd.DataFrame) -> pd.DataFrame:
+def filter_dataframe(df: pd.DataFrame, force_on: bool = False, force_on_columns: list[str] = []) -> pd.DataFrame:
     """
     Adds a UI on top of a dataframe to let viewers filter columns
 
@@ -20,7 +20,10 @@ def filter_dataframe(df: pd.DataFrame) -> pd.DataFrame:
     Returns:
         pd.DataFrame: Filtered dataframe
     """
-    modify = st.checkbox("Add more filters")
+    if force_on:
+        modify = True
+    else:
+        modify = st.checkbox("Add more filters")
 
     if not modify:
         return df
@@ -41,7 +44,7 @@ def filter_dataframe(df: pd.DataFrame) -> pd.DataFrame:
     modification_container = st.container()
 
     with modification_container:
-        to_filter_columns = st.multiselect("Filter dataframe on", df.columns)
+        to_filter_columns = st.multiselect("Filter dataframe on", df.columns) + force_on_columns
         for column in to_filter_columns:
             left, right = st.columns((1, 20))
             # Treat columns with < 17 unique values as categorical