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Pandas DataFrame: sparse.from_spmatrix() function

DataFrame - sparse.from_spmatrix() function

The sparse-from_spmatrix() function is used to create a new DataFrame from a scipy sparse matrix.

Syntax:

classmethod sparse.from_spmatrix(data, index=None, columns=None)

Parameters:

Name Description Type / Default Value Required / Optional
data Must be convertible to csc format. scipy.sparse.spmatrix Required
index, columns Row and column labels to use for the resulting DataFrame. Defaults to a RangeIndex. Index Optional

Returns: DataFrame
Each column of the DataFrame is stored as a SparseArray.

Example:


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