flake8

Author: juhuntenburg

ibllib/plots/figures.py

@@ -346,7 +346,7 @@ def dlc_qc_plot(eid, one=None):
             if data[f'{cam}_{feat}'] is not None and len(data[f'{cam}_{feat}']) == 0:
                 logger.warning(f"Object loaded from _ibl_{cam}Camera.{feat} is empty, some plots have to be skipped.")
                 data[f'{cam}_{feat}'] = None
-                
+
     # Session data
     for alf_object in ['trials', 'wheel', 'licks']:
         try:
@@ -362,7 +362,7 @@ def dlc_qc_plot(eid, one=None):
     # Simplify to what we actually need
     data['licks'] = data['licks'].times if data['licks'] else None
     data['left_pupil'] = data['left_features'].pupilDiameter_smooth if (
-                data['left_features'] is not None and not np.all(np.isnan(data['left_features'].pupilDiameter_smooth))
+        data['left_features'] is not None and not np.all(np.isnan(data['left_features'].pupilDiameter_smooth))
     ) else None
     data['wheel_time'] = data['wheel'].timestamps if data['wheel'] is not None else None
     data['wheel_position'] = data['wheel'].position if data['wheel'] is not None else None
@@ -401,7 +401,8 @@ def dlc_qc_plot(eid, one=None):
         ax = plt.subplot(2, 5, i + 1)
         ax.text(-0.1, 1.15, ascii_uppercase[i], transform=ax.transAxes, fontsize=16, fontweight='bold')
         # Check if any of the inputs is None
-        if any([v is None for v in panel[1].values()]) or any([v.values() is None for v in panel[1].values() if isinstance(v, dict)]):
+        if any([v is None for v in panel[1].values()]) or any([v.values() is None for v in panel[1].values()
+                                                               if isinstance(v, dict)]):
             ax.text(.5, .5, f"Data incomplete\n{panel[0].__name__}", color='r', fontweight='bold',
                     fontsize=12, horizontalalignment='center', verticalalignment='center', transform=ax.transAxes)
             plt.axis('off')