48 lines
1.9 KiB
Python
48 lines
1.9 KiB
Python
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"""
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XlsWeatherParameters class to extract weather parameters from a defined region in .xls format
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defined and used by the norm iso 52016-1:2017
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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 XlsWeatherParameters:
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"""
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XlsWeatherParameters 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._file_name = name
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file_name = self._file_name + '.xls'
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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_excel(self._path, skiprows=4, nrows=9504,
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names=['hours_calc', 'month', 'week', 'day_of_week', 'hours_of_day',
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'temperature', 'I_sol_vertical_N', 'I_sol_vertical_E',
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'I_sol_vertical_S', 'I_sol_vertical_W', 'I_sol_45_N', 'I_sol_45_S',
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'void', 'global_horiz', 'wind_velocity', 'humidity'])
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except ValueError:
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sys.stderr.write(f'Error reading weather file {self._path}\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=['iso52016'])
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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=['iso52016'])
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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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