data : array-like, Series, or DataFrame
prefix : string, list of strings, or dict of strings, default None
String to append DataFrame column names Pass a list with length equal to the number of columns when calling get_dummies on a DataFrame. Alternativly, prefix can be a dictionary mapping column names to prefixes.
prefix_sep : string, default ‘_’
If appending prefix, separator/delimiter to use. Or pass a list or dictionary as with prefix.
dummy_na : bool, default False
Add a column to indicate NaNs, if False NaNs are ignored.
columns : list-like, default None
Column names in the DataFrame to be encoded. If columns is None then all the columns with object or category dtype will be converted.
sparse : bool, default False
Whether the dummy columns should be sparse or not. Returns SparseDataFrame if data is a Series or if all columns are included. Otherwise returns a DataFrame with some SparseBlocks.
New in version 0.16.1.
drop_first : bool, default False
Whether to get k-1 dummies out of k categorical levels by removing the first level.
New in version 0.18.0.
Returns
——-
dummies : DataFrame or SparseDataFrame
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