Pandas DataFrame.to_sparse

Pandas DataFrame.to_sparse() function convert to SparseDataFrame. The function implements the sparse version of the DataFrame meaning that any data matching a specific value it’s omitted in the representation. The sparse DataFrame allows for more efficient storage.

Syntax: DataFrame.to_sparse(fill_value=None, kind=’block’) 

Parameter : 

• fill_value : The specific value that should be omitted in the representation. 
• kind : {‘block’, ‘integer’}, default ‘block’ 

Returns : SparseDataFrame

Pandas DataFrame is a two-dimensional size-mutable, potentially heterogeneous tabular data structure with labeled axes (rows and columns). Arithmetic operations align on both row and column labels. It can be thought of as a dict-like container for Series objects. This is the primary data structure of the Pandas.