.. _Data preparation for NeurEco Parametric Frequency Sweep python:

Data preparation for NeurEco Parametric Frequency Sweep with the Python API
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The python API expects the data for model construction or evaluation in form of NumPy arrays containing the data.

• allowed types of input arrays: NumPy float64

• allowed types of output arrays: NumPy complex128

• **input** array contains a table with:

  • number of lines equal to a number of samples
  
  • number of columns equal to a number of input features
  
  * the first colums is dedicated to the frequency
  
• **output** array contains a table with:

  • number of lines equal to a number of samples
  
  • number of columns equal to a number of output features
  
• **input** array and the corresponding **output** array have the same number of samples

There is no need to normalize the data, as the normalization is handled by NeurEco, :std:ref:`Data normalization for Parametric Frequency Sweep Python`.