from dash import Dash, html, Input, Output
import dash_ag_grid as dag
import pandas as pd
url = "https://www.ratingscentral.com/MatchList.php?CSV_Output=Text&PlayerID=142510"
df = pd.read_csv(url)
# 0EventID,EventDate,OpponentID,OpponentName,OpponentMean,
# 5OpponentStDev,WonLost,7PointChange,8MatchesPlayersPlayedInEvent,Score,
# PlayerMean,11PlayerStDev
# Drop columns by index (column positions start from 0)
df = df.drop(df.columns[[0, 5, 7, 8, 11]], axis=1)
df = df.sort_values(by=df.columns[0], ascending=False)
history_wl = (
df.groupby(df.columns[1])[df.columns[4]].value_counts().unstack(fill_value=0)
)
history_wl["W/L"] = history_wl.apply(
lambda row: f"{row.get('W', 0)} / {row.get('L', 0)}", axis=1
)
df = df.merge(history_wl[["W/L"]], left_on=df.columns[1], right_index=True)
######################################
url = "https://www.ratingscentral.com/PlayerList.php?PlayerID=142510&PlayerSport=Any&SortOrder=Name&CSV_Output=Text"
playerdf = pd.read_csv(url)
# Extract player details from row index 0 (first row)
player_info = playerdf.iloc[0]
# Extract relevant values
rating = player_info["Rating"]
stdev = player_info["StDev"]
last_played = player_info["LastPlayed"]
last_event = player_info["LastEvent"]
######################################
app = Dash(__name__)
grid = dag.AgGrid(
id="quickstart-grid",
rowData=df.to_dict("records"),
columnDefs = [
{"field": col, "hide": i in [1,6]}
for i, col in enumerate(df.columns)
],
defaultColDef={
"resizable": True,
"sortable": True,
"filter": True,
#"minWidth": 125,
},
columnSize="sizeToFit",
dashGridOptions={
"rowSelection": "single", # Enable row selection
},
)
app.layout = html.Div(
[
html.P(
[
f"{rating} ± {stdev} ",
html.A(
last_played,
href=f"https://www.ratingscentral.com/EventDetail.php?EventID={last_event}#P142510",
target="_blank",
),
]
),
grid,
html.Div(id="quickstart-output"),
]
)
from dash import Input, Output, State
@app.callback(
Output("quickstart-output", "children"),
Input("quickstart-grid", "selectedRows"),
)
def display_selected_row(selected):
if not selected:
return "Click a row to see details."
row_data = selected[0] # Only one row is selected
player_id = row_data.get("OpponentID")
if not player_id:
return "OpponentID missing from selected row."
matching_rows = df[df["OpponentID"] == player_id]
link = html.A(
row_data.get("OpponentName", "Link"),
href=f"https://www.ratingscentral.com/PlayerHistory.php?PlayerID={player_id}",
target="_blank",
)
return html.Div([
html.Pre(matching_rows.to_string(index=False)),
link,
])
if __name__ == "__main__":
app.run_server(debug=True)