From 88942988f2c7eeb56e7044e73dc2d515096fe1e4 Mon Sep 17 00:00:00 2001 From: birgits Date: Fri, 2 Aug 2024 09:29:47 +0200 Subject: [PATCH] Black --- src/demandlib/particular_profiles.py | 20 ++- tests/test_particular_profiles.py | 205 ++++++++++++++++++--------- 2 files changed, 154 insertions(+), 71 deletions(-) diff --git a/src/demandlib/particular_profiles.py b/src/demandlib/particular_profiles.py index 8bc2ff9..ebc4c5d 100644 --- a/src/demandlib/particular_profiles.py +++ b/src/demandlib/particular_profiles.py @@ -159,18 +159,24 @@ def simple_profile(self, annual_demand, **kwargs): # Update 'ind' column based on day/night filters and # weekday/weekend/holiday conditions - self.dataframe.loc[day_filter & week_filter, "ind"] = \ - profile_factors["week"]["day"] - self.dataframe.loc[night_filter & week_filter, "ind"] = \ + self.dataframe.loc[day_filter & week_filter, "ind"] = profile_factors[ + "week" + ]["day"] + self.dataframe.loc[night_filter & week_filter, "ind"] = ( profile_factors["week"]["night"] - self.dataframe.loc[day_filter & weekend_filter, "ind"] = \ + ) + self.dataframe.loc[day_filter & weekend_filter, "ind"] = ( profile_factors["weekend"]["day"] - self.dataframe.loc[night_filter & weekend_filter, "ind"] = \ + ) + self.dataframe.loc[night_filter & weekend_filter, "ind"] = ( profile_factors["weekend"]["night"] - self.dataframe.loc[day_filter & holiday_filter, "ind"] = \ + ) + self.dataframe.loc[day_filter & holiday_filter, "ind"] = ( profile_factors["holiday"]["day"] - self.dataframe.loc[night_filter & holiday_filter, "ind"] = \ + ) + self.dataframe.loc[night_filter & holiday_filter, "ind"] = ( profile_factors["holiday"]["night"] + ) # Check for NAN values in the dataframe if self.dataframe["ind"].isnull().any(axis=0): diff --git a/tests/test_particular_profiles.py b/tests/test_particular_profiles.py index 97f90df..f297506 100644 --- a/tests/test_particular_profiles.py +++ b/tests/test_particular_profiles.py @@ -11,9 +11,7 @@ class TestIndustrialLoadProfile: @classmethod def setup_class(cls): dt_index = pd.date_range( - datetime.datetime(2010, 1, 1, 0), - periods=24 * 7, - freq="1H" + datetime.datetime(2010, 1, 1, 0), periods=24 * 7, freq="1H" ) holidays = { datetime.date(2010, 1, 1): "New year", @@ -35,26 +33,44 @@ def test_simple_profile(self): # check factors in self.dataframe["ind"] # holiday - assert self.ilp.dataframe.at[ - pd.Timestamp("2010-01-01 6:00"), "ind"] == 0.7 - assert self.ilp.dataframe.at[ - pd.Timestamp("2010-01-01 7:00"), "ind"] == 0.9 - assert self.ilp.dataframe.at[ - pd.Timestamp("2010-01-01 23:00"), "ind"] == 0.9 + assert ( + self.ilp.dataframe.at[pd.Timestamp("2010-01-01 6:00"), "ind"] + == 0.7 + ) + assert ( + self.ilp.dataframe.at[pd.Timestamp("2010-01-01 7:00"), "ind"] + == 0.9 + ) + assert ( + self.ilp.dataframe.at[pd.Timestamp("2010-01-01 23:00"), "ind"] + == 0.9 + ) # weekend day - assert self.ilp.dataframe.at[ - pd.Timestamp("2010-01-02 6:00"), "ind"] == 0.7 - assert self.ilp.dataframe.at[ - pd.Timestamp("2010-01-02 7:00"), "ind"] == 0.9 - assert self.ilp.dataframe.at[ - pd.Timestamp("2010-01-02 23:00"), "ind"] == 0.9 + assert ( + self.ilp.dataframe.at[pd.Timestamp("2010-01-02 6:00"), "ind"] + == 0.7 + ) + assert ( + self.ilp.dataframe.at[pd.Timestamp("2010-01-02 7:00"), "ind"] + == 0.9 + ) + assert ( + self.ilp.dataframe.at[pd.Timestamp("2010-01-02 23:00"), "ind"] + == 0.9 + ) # week day - assert self.ilp.dataframe.at[ - pd.Timestamp("2010-01-04 6:00"), "ind"] == 0.6 - assert self.ilp.dataframe.at[ - pd.Timestamp("2010-01-04 7:00"), "ind"] == 0.8 - assert self.ilp.dataframe.at[ - pd.Timestamp("2010-01-04 23:00"), "ind"] == 0.8 + assert ( + self.ilp.dataframe.at[pd.Timestamp("2010-01-04 6:00"), "ind"] + == 0.6 + ) + assert ( + self.ilp.dataframe.at[pd.Timestamp("2010-01-04 7:00"), "ind"] + == 0.8 + ) + assert ( + self.ilp.dataframe.at[pd.Timestamp("2010-01-04 23:00"), "ind"] + == 0.8 + ) # check sum of factors to make sure not only the tested factors are # correct @@ -72,7 +88,8 @@ def test_simple_profile(self): weekend = [1, 6, 7] df = self.ilp.simple_profile( 1.0, - week=week, weekend=weekend, + week=week, + weekend=weekend, profile_factors=profile_factors, am=datetime.time(6, 30, 0), pm=datetime.time(22, 00, 0), @@ -80,33 +97,57 @@ def test_simple_profile(self): # check factors in self.dataframe["ind"] # holiday - assert self.ilp.dataframe.at[ - pd.Timestamp("2010-01-01 6:00"), "ind"] == 0.3 - assert self.ilp.dataframe.at[ - pd.Timestamp("2010-01-01 7:00"), "ind"] == 0.8 - assert self.ilp.dataframe.at[ - pd.Timestamp("2010-01-01 23:00"), "ind"] == 0.3 + assert ( + self.ilp.dataframe.at[pd.Timestamp("2010-01-01 6:00"), "ind"] + == 0.3 + ) + assert ( + self.ilp.dataframe.at[pd.Timestamp("2010-01-01 7:00"), "ind"] + == 0.8 + ) + assert ( + self.ilp.dataframe.at[pd.Timestamp("2010-01-01 23:00"), "ind"] + == 0.3 + ) # weekend day - assert self.ilp.dataframe.at[ - pd.Timestamp("2010-01-02 6:00"), "ind"] == 0.4 - assert self.ilp.dataframe.at[ - pd.Timestamp("2010-01-02 7:00"), "ind"] == 0.7 - assert self.ilp.dataframe.at[ - pd.Timestamp("2010-01-02 22:00"), "ind"] == 0.7 + assert ( + self.ilp.dataframe.at[pd.Timestamp("2010-01-02 6:00"), "ind"] + == 0.4 + ) + assert ( + self.ilp.dataframe.at[pd.Timestamp("2010-01-02 7:00"), "ind"] + == 0.7 + ) + assert ( + self.ilp.dataframe.at[pd.Timestamp("2010-01-02 22:00"), "ind"] + == 0.7 + ) # Monday - now set to be weekend day - assert self.ilp.dataframe.at[ - pd.Timestamp("2010-01-04 6:00"), "ind"] == 0.4 - assert self.ilp.dataframe.at[ - pd.Timestamp("2010-01-04 7:00"), "ind"] == 0.7 - assert self.ilp.dataframe.at[ - pd.Timestamp("2010-01-04 23:00"), "ind"] == 0.4 + assert ( + self.ilp.dataframe.at[pd.Timestamp("2010-01-04 6:00"), "ind"] + == 0.4 + ) + assert ( + self.ilp.dataframe.at[pd.Timestamp("2010-01-04 7:00"), "ind"] + == 0.7 + ) + assert ( + self.ilp.dataframe.at[pd.Timestamp("2010-01-04 23:00"), "ind"] + == 0.4 + ) # week day - assert self.ilp.dataframe.at[ - pd.Timestamp("2010-01-05 6:00"), "ind"] == 0.5 - assert self.ilp.dataframe.at[ - pd.Timestamp("2010-01-05 7:00"), "ind"] == 0.6 - assert self.ilp.dataframe.at[ - pd.Timestamp("2010-01-05 23:00"), "ind"] == 0.5 + assert ( + self.ilp.dataframe.at[pd.Timestamp("2010-01-05 6:00"), "ind"] + == 0.5 + ) + assert ( + self.ilp.dataframe.at[pd.Timestamp("2010-01-05 7:00"), "ind"] + == 0.6 + ) + assert ( + self.ilp.dataframe.at[pd.Timestamp("2010-01-05 23:00"), "ind"] + == 0.5 + ) # check sum of factors to make sure not only the tested factors are # correct @@ -147,26 +188,62 @@ def test_simple_profile(self): # check factors in self.dataframe["ind"] # holiday - now treated as Sunday - assert self.ilp_holiday.dataframe.at[ - pd.Timestamp("2010-01-01 6:00"), "ind"] == 0.4 - assert self.ilp_holiday.dataframe.at[ - pd.Timestamp("2010-01-01 7:00"), "ind"] == 0.7 - assert self.ilp_holiday.dataframe.at[ - pd.Timestamp("2010-01-01 23:00"), "ind"] == 0.7 + assert ( + self.ilp_holiday.dataframe.at[ + pd.Timestamp("2010-01-01 6:00"), "ind" + ] + == 0.4 + ) + assert ( + self.ilp_holiday.dataframe.at[ + pd.Timestamp("2010-01-01 7:00"), "ind" + ] + == 0.7 + ) + assert ( + self.ilp_holiday.dataframe.at[ + pd.Timestamp("2010-01-01 23:00"), "ind" + ] + == 0.7 + ) # weekend day - assert self.ilp_holiday.dataframe.at[ - pd.Timestamp("2010-01-02 6:00"), "ind"] == 0.4 - assert self.ilp_holiday.dataframe.at[ - pd.Timestamp("2010-01-02 7:00"), "ind"] == 0.7 - assert self.ilp_holiday.dataframe.at[ - pd.Timestamp("2010-01-02 23:00"), "ind"] == 0.7 + assert ( + self.ilp_holiday.dataframe.at[ + pd.Timestamp("2010-01-02 6:00"), "ind" + ] + == 0.4 + ) + assert ( + self.ilp_holiday.dataframe.at[ + pd.Timestamp("2010-01-02 7:00"), "ind" + ] + == 0.7 + ) + assert ( + self.ilp_holiday.dataframe.at[ + pd.Timestamp("2010-01-02 23:00"), "ind" + ] + == 0.7 + ) # week day - assert self.ilp_holiday.dataframe.at[ - pd.Timestamp("2010-01-04 6:00"), "ind"] == 0.5 - assert self.ilp_holiday.dataframe.at[ - pd.Timestamp("2010-01-04 7:00"), "ind"] == 0.6 - assert self.ilp_holiday.dataframe.at[ - pd.Timestamp("2010-01-04 23:00"), "ind"] == 0.6 + assert ( + self.ilp_holiday.dataframe.at[ + pd.Timestamp("2010-01-04 6:00"), "ind" + ] + == 0.5 + ) + assert ( + self.ilp_holiday.dataframe.at[ + pd.Timestamp("2010-01-04 7:00"), "ind" + ] + == 0.6 + ) + assert ( + self.ilp_holiday.dataframe.at[ + pd.Timestamp("2010-01-04 23:00"), "ind" + ] + == 0.6 + ) # check sum of factors to make sure not only the tested factors are # correct