MultivariateFunctionalData
==========================

.. currentmodule:: FDApy.representation

.. autoclass:: MultivariateFunctionalData

   
   
   .. rubric:: Methods

   .. autosummary::
   
      
      
      ~MultivariateFunctionalData.append
      
      
      ~MultivariateFunctionalData.center
      
      
      ~MultivariateFunctionalData.clear
      
      
      ~MultivariateFunctionalData.concatenate
      
      
      ~MultivariateFunctionalData.copy
      
      
      ~MultivariateFunctionalData.count
      
      
      ~MultivariateFunctionalData.covariance
      
      
      ~MultivariateFunctionalData.extend
      
      
      ~MultivariateFunctionalData.index
      
      
      ~MultivariateFunctionalData.inner_product
      
      
      ~MultivariateFunctionalData.insert
      
      
      ~MultivariateFunctionalData.mean
      
      
      ~MultivariateFunctionalData.noise_variance
      
      
      ~MultivariateFunctionalData.norm
      
      
      ~MultivariateFunctionalData.normalize
      
      
      ~MultivariateFunctionalData.pop
      
      
      ~MultivariateFunctionalData.remove
      
      
      ~MultivariateFunctionalData.rescale
      
      
      ~MultivariateFunctionalData.reverse
      
      
      ~MultivariateFunctionalData.smooth
      
      
      ~MultivariateFunctionalData.sort
      
      
      ~MultivariateFunctionalData.standardize
      
      
      ~MultivariateFunctionalData.to_basis
      
      
      ~MultivariateFunctionalData.to_grid
      
      
      ~MultivariateFunctionalData.to_long
      
   
   
   
      
      
   .. automethod:: append
      
      
   .. automethod:: center
      
      
   .. automethod:: clear
      
      
   .. automethod:: concatenate
      
      
   .. automethod:: copy
      
      
   .. automethod:: count
      
      
   .. automethod:: covariance
      
      
   .. automethod:: extend
      
      
   .. automethod:: index
      
      
   .. automethod:: inner_product
      
      
   .. automethod:: insert
      
      
   .. automethod:: mean
      
      
   .. automethod:: noise_variance
      
      
   .. automethod:: norm
      
      
   .. automethod:: normalize
      
      
   .. automethod:: pop
      
      
   .. automethod:: remove
      
      
   .. automethod:: rescale
      
      
   .. automethod:: reverse
      
      
   .. automethod:: smooth
      
      
   .. automethod:: sort
      
      
   .. automethod:: standardize
      
      
   .. automethod:: to_basis
      
      
   .. automethod:: to_grid
      
      
   .. automethod:: to_long
      
   
   
.. include:: /backreferences/FDApy.representation.MultivariateFunctionalData.examples