added monthly_values.py

helpers/monthly_values.py

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+"""
+Monthly values
+SPDX - License - Identifier: LGPL - 3.0 - or -later
+Copyright © 2020 Project Author Pilar Monsalvete pilar_monsalvete@yahoo.es
+"""
+
+import pandas as pd
+import numpy as np
+import calendar as cal
+
+
+class MonthlyValues:
+  def __init__(self):
+    self._month_hour = None
+
+  def get_mean_values(self, values):
+    out = None
+    if values is not None:
+      if 'month' not in values.columns:
+        values = pd.concat([self.month_hour, pd.DataFrame(values)], axis=1)
+      out = values.groupby('month', as_index=False).mean()
+      del out['month']
+    return out
+
+  def get_total_month(self, values):
+    out = None
+    if values is not None:
+      if 'month' not in values.columns:
+        values = pd.concat([self.month_hour, pd.DataFrame(values)], axis=1)
+      out = pd.DataFrame(values).groupby('month', as_index=False).sum()
+      del out['month']
+    return out
+
+  @property
+  def month_hour(self):
+    """
+    returns a DataFrame that has x values of the month number (January = 1, February = 2...),
+    being x the number of hours of the corresponding month
+    :return: DataFrame(int)
+    """
+    array = []
+    for i in range(0, 12):
+      days_of_month = cal.monthrange(2015, i+1)[1]
+      total_hours = days_of_month * 24
+      array = np.concatenate((array, np.full(total_hours, i + 1)))
+    self._month_hour = pd.DataFrame(array, columns=['month'])
+    return self._month_hour

tmp/.gitignore

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+# Ignore everything in this directory
+*
+# Except this file
+!.gitignore

unittests/tests_data/.gitignore

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+# Ignore everything in this directory
+*
+# Except this file
+!.gitignore