viz_uncertainties_harden_cp3_corr.py

temp_df_list = list()
temp_slugs = season_tot_df[season_tot_df['name'].isin(['James Harden', 'Chris Paul'])].slug.unique()
for pl_slug in temp_slugs:
    temp_df = pd.DataFrame(pl_data_dict[pl_slug])
    temp_df = add_fan_pts(temp_df)
    temp_df = temp_df.assign(player=season_tot_df[season_tot_df.slug == pl_slug]['name'].values[0])
    temp_df_list.append(temp_df)
comp_df = pd.concat(temp_df_list, axis=0)
comp_df.reset_index(inplace=True, drop=True)

dates_grp = comp_df.groupby('date').count()
dates_both_played = dates_grp[dates_grp['team'] == 2].index
# comb_dates_df = comp_df[comp_df.date.isin(dates_both_played)]
comb_dates_list = list()
for temp_date in dates_both_played:
    jh_points = comp_df[(comp_df.date == temp_date) & (comp_df.player == 'James Harden')].fan_pts.values[0]
    cp_points = comp_df[(comp_df.date == temp_date) & (comp_df.player == 'Chris Paul')].fan_pts.values[0]
    temp_dict = dict(
        date=temp_date,
        Harden=jh_points,
        Paul=cp_points,
        Sum=jh_points+cp_points,
    )
    comb_dates_list.append(temp_dict)
comb_dates_df = pd.DataFrame(comb_dates_list)

fig = px.scatter(comb_dates_df, x='Harden', y='Paul', color='Sum', range_color=[40, 125], range_y=[8, 55])
clean_chart_format(fig, namelocs=[0.1, 0.9])
fig.update_layout(title='Fantasy performance comparison')
fig.show()