adding auroc to session_metrics

[rachelstephlee]

adding auroc calculation to each session and across multiple sessions.

[alexpiet]

looks good, let me test it before approving. Do you have an example code snippet of how to use?

[rachelstephlee]

Yes of course.

This is how I tested it:

alignment_times = nwb.df_trials.choice_time_in_session.values
labels = nwb.df_trials.earned_reward.values
channel = 'G_1_dff-bright_mc-iso-IRLS'
tw = [-1, 5.5]
bin_size = 0.25
data_col = 'data_z'
auc_df = compute_auroc(nwb, alignment_times, labels, channel, tw, bin_size, data_col)

plt.figure()
(fig, ax, align) = pf.plot_fip_psth_compare_alignments(
            nwb,
            [{"no rew": nwb.df_trials.query("earned_reward == 0").choice_time_in_session.values,
            "rew": nwb.df_trials.query("earned_reward == 1").choice_time_in_session.values}
            ],
            channel,
            tw=[-1, 5.5],
            extra_colors={"no rew": 'grey', "rew": 'magenta'},
            data_column="data_z"
            )
plt.plot(auc_df['bin_center'],auc_df['auc'], color='blue', label='auROC')

Let me know if I should add the former snippet into a README or ipynb for other users.

[alexpiet]

When I test it, I get this warning:

[/root/aind-dynamic-foraging-basic-analysis/src/aind_dynamic_foraging_basic_analysis/metrics/session_metrics.py:87](https://codeocean.allenneuraldynamics.org/root/aind-dynamic-foraging-basic-analysis/src/aind_dynamic_foraging_basic_analysis/metrics/session_metrics.py#line=86): FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  aligns.groupby(["bin_center", "event_number"])[data_col].mean().unstack(["event_number"])

[alexpiet]

address the future warning, otherwise looks good

[rachelstephlee]

added observed=True explicitly to avoid the FutureWarning.