32 lines
1.3 KiB
Python
32 lines
1.3 KiB
Python
"""
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CliWeatherParameters 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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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, name):
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self._weather_values = None
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self._city = city
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self._city_name = name
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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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# TODO: catch error if file does not exist
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if self._weather_values is None:
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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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for building in self._city.buildings:
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building._hourly_external_temperature = pd.DataFrame(self._weather_values[['temperature']].to_numpy(), columns=['inseldb'])
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building._hourly_global_horizontal = pd.DataFrame(self._weather_values[['global_horiz']].to_numpy(), columns=['inseldb'])
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building._hourly_diffuse = pd.DataFrame(self._weather_values[['diffuse']].to_numpy(), columns=['inseldb'])
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building._hourly_beam = pd.DataFrame(self._weather_values[['beam']].to_numpy(), columns=['inseldb'])
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