w3resource

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:


Download the Pandas DataFrame Notebooks from here.

Previous: DataFrame.hist() function
Next: DataFrame - sparse.to_dense() function



Become a Patron!

Follow us on Facebook and Twitter for latest update.

It will be nice if you may share this link in any developer community or anywhere else, from where other developers may find this content. Thanks.

https://www.w3resource.com/pandas/dataframe/dataframe-sparse-from_spmatrix.php