Pandas DataFrame: sparse.from_spmatrix() function

Last update on August 19 2022 21:50:33 (UTC/GMT +8 hours)

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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