added foundation option some_molecules
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@@ -29,11 +29,13 @@ def load_config(input_folder="input/", section="default"):
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print(f"No {configFilePath} provided.")
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print(f"No {configFilePath} provided.")
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def conc_df_from_file(input_path="input/", foundation="vivo_average"):
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def conc_df_from_file(input_path="input/", foundation="vivo_average",
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include_molecules=[]):
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sections = load_config(input_path, "")
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sections = load_config(input_path, "")
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"""Generates concentration dataframe for mc method.
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"""Generates concentration dataframe for mc method.
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Supports different variation types (absolute/delta/relative)
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Supports different variation types (absolute/delta/relative)
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Returns data_frame of different concentrations"""
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Returns data_frame of different concentrations.
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include_molecules needed for option some_molecules"""
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# Load all relevant sections
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# Load all relevant sections
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list_parser_parameter = []
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list_parser_parameter = []
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@@ -64,6 +66,15 @@ def conc_df_from_file(input_path="input/", foundation="vivo_average"):
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df_foundation[molecule] = 0
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df_foundation[molecule] = 0
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except:
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except:
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print("No basis/fit_conc_result.csv file supplied")
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print("No basis/fit_conc_result.csv file supplied")
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if foundation == "some_molecules":
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try:
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df_foundation = pd.read_csv(
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"basis/fit_conc_result.csv").mean().to_frame().transpose()
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for molecule in molecule_names:
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if molecule not in include_molecules:
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df_foundation[molecule] = 0
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except:
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print("No basis/fit_conc_result.csv file supplied")
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else:
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else:
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print("Only foundation mode vivo_average not chosen")
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print("Only foundation mode vivo_average not chosen")
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