Python get_bins Exemples

Exemple #1

gv.data_type = 'rates'

for gv.mouse in [gv.mice[2]]:

    data.get_sessions_mouse()
    data.get_stimuli_times()
    data.get_delays_times()

    for gv.session in [gv.sessions[-1]]:
        X, y = data.get_fluo_data()
        print('mouse', gv.mouse, 'session', gv.session, 'data X', X.shape, 'y',
              y.shape)

        data.get_delays_times()
        data.get_frame_rate()
        data.get_bins(t_start=.5)

        gv.duration = X.shape[2] / gv.frame_rate
        gv.time = np.linspace(0, gv.duration, X.shape[2])

        trial_averages = []
        for i, gv.trial in enumerate(gv.trials):
            X_S1, X_S2 = data.get_S1_S2_trials(X, y)
            data.get_trial_types(X_S1)

            print('X_S1', X_S1.shape, 'X_S2', X_S2.shape)

            X_S1 = np.mean(X_S1[:, :, gv.bins_ED], axis=2)
            X_S2 = np.mean(X_S2[:, :, gv.bins_ED], axis=2)

            X_S1 = np.mean(X_S1, axis=0)

Exemple #2

        gv.epochs = ['all']

    for gv.mouse in [gv.mice[0]]:

        data.get_sessions_mouse()
        data.get_stimuli_times()
        data.get_delays_times()

        for gv.session in [gv.sessions[-1]]:
            X_data, y_labels = data.get_fluo_data()
            print('mouse', gv.mouse, 'session', gv.session, 'data X',
                  X_data.shape, 'y', y_labels.shape)

            data.get_delays_times()
            data.get_frame_rate()
            data.get_bins(t_start=0)

            gv.duration = X_data.shape[2] / gv.frame_rate
            time = np.linspace(0, gv.duration, X_data.shape[2])

            for gv.trial in [gv.trials[-1]]:
                X_S1_trials, X_S2_trials = data.get_S1_S2_trials(
                    X_data, y_labels)
                X_trials, y_trials = data.get_X_y_epochs(
                    X_S1_trials, X_S2_trials)

                print('trial:', gv.trial, 'X', X_trials.shape, 'y',
                      y_trials.shape)

                X_avg = np.mean(X_trials, axis=1)

Exemple #3

Fichier : scatter_EDvsLD.py Projet : kiriclope/postdoc_IDIBAPS

gv.data_type = 'rates'

for gv.mouse in [gv.mice[2]]:

    data.get_sessions_mouse()
    data.get_stimuli_times()
    data.get_delays_times()

    for gv.session in [gv.sessions[0]]:
        X, y = data.get_fluo_data()
        print('mouse', gv.mouse, 'session', gv.session, 'data X', X.shape, 'y',
              y.shape)

        data.get_delays_times()
        data.get_frame_rate()
        data.get_bins(t_start=1)

        gv.duration = X.shape[2] / gv.frame_rate
        gv.time = np.linspace(0, gv.duration, X.shape[2])

        trial_averages = []
        for i, gv.trial in enumerate(gv.trials):
            X_S1, X_S2 = data.get_S1_S2_trials(X, y)
            data.get_trial_types(X_S1)

            print('X_S1', X_S1.shape, 'X_S2', X_S2.shape)

            X_S1_ED = np.mean(X_S1[:, :, gv.bins_ED], axis=2)
            X_S2_ED = np.mean(X_S2[:, :, gv.bins_ED], axis=2)

            X_S1_LD = np.mean(X_S1[:, :, gv.bins_LD], axis=2)