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  1. gitattributes.txt +36 -0
  2. sourced.py +5 -0
gitattributes.txt ADDED
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+ Input_Jahr_2021.xlsx filter=lfs diff=lfs merge=lfs -text
sourced.py CHANGED
@@ -35,6 +35,9 @@ def load_data_from_excel(url_excel,load_from_pickle_flag = False, write_to_pickl
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  df_excel = pd.read_excel(url_excel, sheet_name='Technologies')
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  i = pd.Index(df_excel.iloc[:, 0], name='i')
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  df_excel = pd.read_excel(url_excel, sheet_name='Technologies')
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  iConv = pd.Index(df_excel.iloc[0:7, 2], name='iConv')
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@@ -47,6 +50,7 @@ def load_data_from_excel(url_excel,load_from_pickle_flag = False, write_to_pickl
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  df_excel = pd.read_excel(url_excel, sheet_name='Technologies')
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  iPtG = pd.Index(df_excel.iloc[0:1, 8], name='iPtG')
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  df_excel = pd.read_excel(url_excel, sheet_name='Technologies')
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  iHyRes = pd.Index(df_excel.iloc[0:1, 10], name='iHyRes')
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@@ -55,6 +59,7 @@ def load_data_from_excel(url_excel,load_from_pickle_flag = False, write_to_pickl
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  p_co2 = 0
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  dt = 1
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  # Demand
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  df_excel= pd.read_excel(url_excel, sheet_name = 'Demand')
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  #df_melt = pd.melt(df_excel, id_vars='Zeit')
 
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  df_excel = pd.read_excel(url_excel, sheet_name='Technologies')
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  i = pd.Index(df_excel.iloc[:, 0], name='i')
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  df_excel = pd.read_excel(url_excel, sheet_name='Technologies')
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  iConv = pd.Index(df_excel.iloc[0:7, 2], name='iConv')
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  df_excel = pd.read_excel(url_excel, sheet_name='Technologies')
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  iPtG = pd.Index(df_excel.iloc[0:1, 8], name='iPtG')
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+
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  df_excel = pd.read_excel(url_excel, sheet_name='Technologies')
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  iHyRes = pd.Index(df_excel.iloc[0:1, 10], name='iHyRes')
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  p_co2 = 0
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  dt = 1
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+
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  # Demand
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  df_excel= pd.read_excel(url_excel, sheet_name = 'Demand')
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  #df_melt = pd.melt(df_excel, id_vars='Zeit')