20220427_playoff_gameviz_refined_viz.py

fig = px.scatter(shot_blot_df,
                 title=f'{latest_day_str} - Playoff game shot profiles',
                 x="filt_avg", y="segment", size="pts_pct_x",
                 color="shot_ev", color_continuous_scale=px.colors.sequential.Blues,
                 facet_row="group", facet_col="shot_type",
                 template="plotly_white", width=1200, height=750,
                 range_color=[0.7, 1.7],
                 labels={'filt_avg': 'Distance from the rim', 'segment': 'Sample size',
                         'pts_pct_x': 'Proportion of points', 'shot_ev': 'Expected<BR>points<BR>per shot'}
                 )
fig.update_traces(marker=dict(line=dict(color="#b0b0b0", width=0.5)))
import re
for k in fig.layout:
    if re.search('xaxis+', k):
        fig.layout[k].update(matches=None)
        print(k)
        if k[-1] == 's' or int(k[-1]) % 2 != 0:
            fig.layout[k].update(domain=[0.0, 0.704])
        else:
            fig.layout[k].update(domain=[0.724, 0.98])
for i in fig.layout.annotations:
    if i['text'] == 'shot_type=3pt':
        i['x'] = 0.852


# Increase the overall top margin, and move the title up slightly
fig.update_layout(
    margin=dict(t=140),
    title={'y':0.95, 'yanchor': 'top'}
)

# Add the subhead
fig.add_annotation(text="Marker size: Percentage of team points from that distance (1ft radius)<BR>Marker colour: Efficiency (points per shot)",
                   xref="paper", yref="paper", align="left",
                   font=dict(color="slategrey"),
                   x=-0.065, y=1.15, showarrow=False)

fig.show()