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Extending final_time by 1 hour for EPW radiation data #151

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Extending final_time by 1 hour for EPW radiation data #151

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18 changes: 9 additions & 9 deletions mpcpy/exodata.py
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Original file line number Diff line number Diff line change
Expand Up @@ -910,28 +910,28 @@ def _read_timeseries_from_epw(self):
self.data[varname] = self._dataframe_to_mpcpy_ts_variable(df_epw, key, varname, units.deg, start_time = self.start_time, final_time = self.final_time);
elif key == 'Horizontal infrared radiation':
varname = 'weaHHorIR';
self.data[varname] = self._dataframe_to_mpcpy_ts_variable(df_epw, key, varname, units.W_m2, start_time = self.start_time, final_time = self.final_time);
self.data[varname] = self._dataframe_to_mpcpy_ts_variable(df_epw, key, varname, units.W_m2, start_time = self.start_time, final_time = self.final_time + pd.Timedelta('1 hours'));
elif key == 'Direct normal radiation':
varname = 'weaHDirNor';
self.data[varname] = self._dataframe_to_mpcpy_ts_variable(df_epw, key, varname, units.W_m2, start_time = self.start_time, final_time = self.final_time);
self.data[varname] = self._dataframe_to_mpcpy_ts_variable(df_epw, key, varname, units.W_m2, start_time = self.start_time, final_time = self.final_time + pd.Timedelta('1 hours'));
elif key == 'Global horizontal radiation':
varname = 'weaHGloHor';
self.data[varname] = self._dataframe_to_mpcpy_ts_variable(df_epw, key, varname, units.W_m2, start_time = self.start_time, final_time = self.final_time);
self.data[varname] = self._dataframe_to_mpcpy_ts_variable(df_epw, key, varname, units.W_m2, start_time = self.start_time, final_time = self.final_time + pd.Timedelta('1 hours'));
elif key == 'Diffuse horizontal radiation':
varname = 'weaHDifHor';
self.data[varname] = self._dataframe_to_mpcpy_ts_variable(df_epw, key, varname, units.W_m2, start_time = self.start_time, final_time = self.final_time);
self.data[varname] = self._dataframe_to_mpcpy_ts_variable(df_epw, key, varname, units.W_m2, start_time = self.start_time, final_time = self.final_time + pd.Timedelta('1 hours'));
elif key == 'Averaged global horizontal illuminance':
varname = 'weaIAveHor';
self.data[varname] = self._dataframe_to_mpcpy_ts_variable(df_epw, key, varname, units.lx, start_time = self.start_time, final_time = self.final_time);
self.data[varname] = self._dataframe_to_mpcpy_ts_variable(df_epw, key, varname, units.lx, start_time = self.start_time, final_time = self.final_time + pd.Timedelta('1 hours'));
elif key == 'Direct normal illuminance':
varname = 'weaIDirNor';
self.data[varname] = self._dataframe_to_mpcpy_ts_variable(df_epw, key, varname, units.lx, start_time = self.start_time, final_time = self.final_time);
self.data[varname] = self._dataframe_to_mpcpy_ts_variable(df_epw, key, varname, units.lx, start_time = self.start_time, final_time = self.final_time + pd.Timedelta('1 hours'));
elif key == 'Diffuse horizontal illuminance':
varname = 'weaIDifHor';
self.data[varname] = self._dataframe_to_mpcpy_ts_variable(df_epw, key, varname, units.lx, start_time = self.start_time, final_time = self.final_time);
self.data[varname] = self._dataframe_to_mpcpy_ts_variable(df_epw, key, varname, units.lx, start_time = self.start_time, final_time = self.final_time + pd.Timedelta('1 hours'));
elif key == 'Zenith luminance':
varname = 'weaZLum';
self.data[varname] = self._dataframe_to_mpcpy_ts_variable(df_epw, key, varname, units.cd_m2, start_time = self.start_time, final_time = self.final_time);
self.data[varname] = self._dataframe_to_mpcpy_ts_variable(df_epw, key, varname, units.cd_m2, start_time = self.start_time, final_time = self.final_time + pd.Timedelta('1 hours'));
# Time shift the solar data back 30 minutes by linear interpolation (see Buildings.BoundaryConditions.WeatherData.ReaderTMY3 info)
for key in self.data.keys():
if key in ['weaHHorIR', 'weaHGloHor', 'weaHDirNor', 'weaHDifHor', \
Expand All @@ -940,7 +940,7 @@ def _read_timeseries_from_epw(self):
ts = ts_old.resample('30T').interpolate(method='time');
ts = ts.shift(freq = '-30T');
ts = ts.resample(rule='H').first();
ts = ts.ix[1:].append(ts_old.tail(n=1));
ts = ts.ix[1:];
self.data[key].set_data(ts);

class WeatherFromCSV(_Weather, utility._DAQ):
Expand Down