58 lines
1.6 KiB
Python
58 lines
1.6 KiB
Python
"""
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Monthly values module
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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 calendar as cal
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import pandas as pd
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import numpy as np
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class MonthlyValues:
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"""
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Monthly values class
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"""
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def __init__(self):
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self._month_hour = None
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def get_mean_values(self, values):
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"""
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Calculates the mean values for each month
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:return: DataFrame(float)
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"""
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out = None
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if values is not None:
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if 'month' not in values.columns:
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values = pd.concat([self.month_hour, pd.DataFrame(values)], axis=1)
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out = values.groupby('month', as_index=False).mean()
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del out['month']
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return out
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def get_total_month(self, values):
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"""
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Calculates the total value for each month
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:return: DataFrame(int)
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"""
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out = None
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if values is not None:
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if 'month' not in values.columns:
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values = pd.concat([self.month_hour, pd.DataFrame(values)], axis=1)
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out = pd.DataFrame(values).groupby('month', as_index=False).sum()
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del out['month']
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return out
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@property
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def month_hour(self):
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"""
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returns a DataFrame that has x values of the month number (January = 1, February = 2...),
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being x the number of hours of the corresponding month
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:return: DataFrame(int)
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"""
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array = []
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for i in range(0, 12):
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days_of_month = cal.monthrange(2015, i+1)[1]
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total_hours = days_of_month * 24
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array = np.concatenate((array, np.full(total_hours, i + 1)))
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self._month_hour = pd.DataFrame(array, columns=['month'])
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return self._month_hour
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