PyDDM.fit_parameters_dictionaries.turn_parameters_into_dataframe_for_display

PyDDM.fit_parameters_dictionaries.turn_parameters_into_dataframe_for_display

turn_parameters_into_dataframe_for_display(parinfo)

This function takes a list of dictionaries, one dictionary per parameter of a model for the ISF or DDM Matrix, and converts it to a Pandas dataframe.

Parameters

  • parinfo (list) – List of dictionaries. A dictionary in this list will look something like this {‘n’: 0, ‘value’: 0, ‘limits’: [0,0], ‘limited’: [True,True], ‘fixed’: False, ‘parname’: “Amplitude”, ‘error’: 0, ‘step’:0} See, for example, fit_parameters_dictionaries.ddm_matrix_single_exponential

  • initial_guesses (array) – 1-D array containing the initial guesses for the parameters

Returns

Return type

Pandas dataframe

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