# App adapted from Plotly Figure Friday submission:
# https://community.plotly.com/t/figure-friday-2024-week-29/85928/60
# Demo of how to add images as markers in a Plotly Figure
from dash import Dash, html, dcc, Output, Input
import plotly.express as px
import pandas as pd
import dash_bootstrap_components as dbc
df = pd.read_csv(
"https://raw.githubusercontent.com/plotly/Figure-Friday/main/2024/week-29/ewf_standings.csv"
)
df["team_name"] = df["team_name"].str.rsplit(" ", n=1).str[0]
df = df.loc[(df['season'].isin(['2023-2024', '2022-2023', '2021-2022'])) & (df['division'].isin(["Women's Super League (WSL)", "FA Women's Super League (WSL)"]))]
app = Dash(__name__, external_stylesheets=[dbc.themes.BOOTSTRAP])
app.layout = dbc.Container(
[
html.H3(
"Impact of Goal Difference on Points in the Women's Super League",
className="mt-1",
),
dbc.Label("Select Season", html_for="figure-marker-images-x-season"),
dbc.Select(
id="figure-marker-images-x-season",
value="2023-2024",
options=["2023-2024", "2022-2023", "2021-2022"],
style={"width": "300px"},
className="mb-2",
),
dcc.Graph(id="figure-marker-images-x-graph", config={"displayModeBar": False}),
],
fluid=True,
)
@app.callback(
Output("figure-marker-images-x-graph", "figure"),
Input("figure-marker-images-x-season", "value")
)
def update_figure(input):
dff = df.loc[df["season"] == input]
fig = px.scatter(
dff,
x="goal_difference",
y="points",
hover_data=["team_name", "position"],
hover_name="team_name",
)
for i, row in dff.iterrows():
team = row["team_name"]
fig.add_layout_image(
dict(
source=f"https://raw.githubusercontent.com/Moh-Ozzi/Figure-Friday-2024---week-29/main/GB1/{team}.png",
# source=f"/assets/team_logs/{team}.png",
xref="x",
yref="y",
xanchor="center",
yanchor="middle",
x=row["goal_difference"],
y=row["points"],
sizex=7,
sizey=7,
sizing="contain",
opacity=1,
layer="above",
)
)
fig.update_layout(
height=600,
plot_bgcolor="#FAF8FA",
margin=dict(l=10, r=10, t=10, b=10),
hoverlabel=dict(bgcolor="white", font_size=13, font_family="Arial"),
)
return fig
if __name__ == "__main__":
app.run(debug=True)