x, y = data
for d in days_datetime:
report_datetime = datetime.datetime.combine(d.date(), t)
- closest_index = np.argmin(np.abs(x - report_datetime))
- if abs(x[closest_index] - report_datetime) > datetime.timedelta(hours=1):
+ if len(x) == 0:
cell = 'N/A'
else:
- value = y[closest_index]
- cell = '{:.1f}'.format(value)
+ closest_index = np.argmin(np.abs(x - report_datetime))
+ if abs(x[closest_index] - report_datetime) > datetime.timedelta(hours=1):
+ cell = 'N/A'
+ else:
+ value = y[closest_index]
+ cell = '{:.1f}'.format(value)
row_cells.append(cell)
cells.append(row_cells)
row_colors = list(ntimes(report_colors + ['w'], len(report_times)))