delete zeros before first non-zero value in OPSD capacity data

timeseries_scripts/read.py

@@ -609,6 +609,13 @@ def read_opsd(filepath, param_dict, headers):
  keep = ['wind', 'wind_onshore', 'wind_offshore', 'solar']
  df = df.loc[:, (slice(None), keep)]
 
+ # delete zeros before first non-zero value in each column
+ for col_name, col in df.iteritems():
+ nan_for_zero = col.replace(0, np.nan)
+ slicer = ((col.index <= nan_for_zero.first_valid_index()) |
+ (col.index >= nan_for_zero.last_valid_index()))
+ col.loc[slicer] = np.nan 
+
  # The capacities data only has one entry per day, which pandas
  # interprets as 00:00h. We will broadcast the dayly data for
  # all quarter-hours of the day until the next given data point.