Add RZ Opps page

src/pages/6_Redzone_Opportunities.py

@@ -0,0 +1,56 @@
+import datetime
+import numpy as np
+import streamlit as st
+
+from config import DEFAULT_ICON
+from shared_page import common_page_config
+
+from queries.footballguys.constants import YEAR
+from queries.footballguys.refresh import request_stat
+from streamlit_filter import filter_dataframe
+
+
+@st.cache_data(ttl=60 * 60 * 24)
+def load_data():
+    stat_name = "redzone"
+    data = request_stat(stat_name)
+    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"Player Redzone Opportunities - {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")
+
+    selected_subtotals = st.selectbox("Show:", ["Player Totals", "Position Totals"], index=0)
+    if selected_subtotals == "Player Totals":
+        data = data[~data.name.str.contains(" Totals")]
+    elif selected_subtotals == "Position Totals":
+        data = data[data.name.str.contains(" Totals")]
+
+    value_types = st.selectbox("Counts / Percent:", ["Counts", "Percent"], index=0)
+    if value_types == "Percent":
+        numerical_data = data.select_dtypes(include=np.number)
+        numerical_cols = numerical_data.columns
+        df_percent_values = numerical_data / data.groupby("TEAM").transform(sum).select_dtypes(include=np.number)
+        data.loc[:, numerical_cols] = df_percent_values
+
+    with st.container():
+        filtered_data = filter_dataframe(data)
+        st.dataframe(
+            filtered_data,
+            hide_index=True,
+            height=35 * (len(filtered_data) + 1) + 12,
+            use_container_width=False,
+            column_config={},
+        )
+
+
+if __name__ == "__main__":
+    get_page()

src/queries/footballguys/helpers.py

@@ -1,3 +1,4 @@
+from io import StringIO
 import lxml.html
 import pandas as pd
 import requests
@@ -7,7 +8,7 @@ from queries.footballguys import constants as fbgc
 
 def url_to_pandas(url) -> List[pd.DataFrame]:
     page = requests.get(url)
-    table = pd.read_html(page.text.replace("<br>", "-"))
+    table = pd.read_html(StringIO(page.text.replace("<br>", "-")))
     return table
 
 
@@ -78,9 +79,7 @@ def parse_snaps(team_short_name: str, base_url: str = fbgc.BASE_URL, year: int =
 
 def add_targets_position(team_df: pd.DataFrame):
     # fill blanks up by reversing index, fill down, and re-reversing
-    positions = team_df.name.apply(lambda x: x.replace(" Totals", "") if " Totals" in x else None)[::-1].fillna(
-        method="ffill"
-    )[::-1]
+    positions = team_df.name.apply(lambda x: x.replace(" Totals", "") if " Totals" in x else None)[::-1].ffill()[::-1]
     team_df.insert(0, "POS", positions)