class_docstr: Serialize a sparse matrix to a buffer using the .npz format.
docstr: Serialize a sparse matrix to a buffer using the .npz format.
  
  Sparse matrices can be in the ``csc``, ``csr``, ``bsr``, ``dia`` or
  ``coo`` formats.
  
  Args:
      data (scipy.sparse.spmatrix): The sparse matrix to serialize.
  
  Returns:
      io.BytesIO: A buffer containing the serialized sparse matrix.
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code: def serialize(self, data):
      """Serialize a sparse matrix to a buffer using the .npz format.
  
      Sparse matrices can be in the ``csc``, ``csr``, ``bsr``, ``dia`` or
      ``coo`` formats.
  
      Args:
          data (scipy.sparse.spmatrix): The sparse matrix to serialize.
  
      Returns:
          io.BytesIO: A buffer containing the serialized sparse matrix.
      """
      buffer = io.BytesIO()
      scipy.sparse.save_npz(buffer, data)
      return buffer.getvalue()
  
imports: from __future__ import absolute_import
  import abc
  from collections.abc import Iterable
  import csv
  import io
  import json
  import numpy
  from pandas import DataFrame
  from six import with_metaclass
  from sagemaker.utils import DeferredError
label_desc: Use image node_id 2 for calling the SparseMatrixSerializer obj's underlying member method code with example usage: obj.serialize(data) and returns: buffer