55 lines
2.1 KiB
Python
55 lines
2.1 KiB
Python
"""
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DatWeatherParameters class to extract weather parameters from a defined region in .dat format
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SPDX - License - Identifier: LGPL - 3.0 - or -later
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Copyright © 2020 Project Author Pilar Monsalvete pilar_monsalvete@yahoo.es
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"""
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import pandas as pd
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from pathlib import Path
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import sys
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class DatWeatherParameters:
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"""
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DatWeatherParameters class
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"""
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def __init__(self, city, path):
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self._weather_values = None
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self._city = city
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self._city_name = city.climate_reference_city
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file_name = 'inseldb_' + self._city_name + '.dat'
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self._path = Path(path / file_name)
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if self._weather_values is None:
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try:
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self._weather_values = pd.read_csv(self._path, sep='\s+', header=None,
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names=['hour', 'global_horiz', 'temperature', 'diffuse', 'beam', 'empty'])
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except SystemExit:
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sys.stderr.write(f'Error: weather file {self._path} not found\n')
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sys.exit()
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for building in self._city.buildings:
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new_value = pd.DataFrame(self._weather_values[['temperature']].to_numpy(), columns=['inseldb'])
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if 'hour' not in building.external_temperature:
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building.external_temperature['hour'] = new_value
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else:
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pd.concat([building.external_temperature['hour'], new_value], axis=1)
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new_value = pd.DataFrame(self._weather_values[['global_horiz']].to_numpy(), columns=['inseldb'])
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if 'hour' not in building.global_horizontal:
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building.global_horizontal['hour'] = new_value
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else:
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pd.concat([building.global_horizontal['hour'], new_value], axis=1)
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new_value = pd.DataFrame(self._weather_values[['diffuse']].to_numpy(), columns=['inseldb'])
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if 'hour' not in building.diffuse:
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building.diffuse['hour'] = new_value
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else:
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pd.concat([building.diffuse['hour'], new_value], axis=1)
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new_value = pd.DataFrame(self._weather_values[['beam']].to_numpy(), columns=['inseldb'])
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if 'hour' not in building.beam:
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building.beam['hour'] = new_value
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else:
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pd.concat([building.beam['hour'], new_value], axis=1)
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