- m_vals = median.values
- s_vals = stdev_t.values
- d_vals = in_data.values
- t_vals = trimmed_data.values
- for day in range(1, in_data.size):
- if np.isnan(t_vals[day]) \
- or np.isnan(m_vals[day]) \
- or np.isnan(s_vals[day]) \
- or np.isnan(d_vals[day]):
+
+ first = True
+ for build_nr, value in in_data.iteritems():
+ if first:
+ first = False
+ continue
+ if np.isnan(trimmed_data[build_nr]) \
+ or np.isnan(median[build_nr]) \
+ or np.isnan(stdev_t[build_nr]) \
+ or np.isnan(value):