374ca541aaf62aba88a144acbbc7398ca3e995ef,category_encoders/ordinal.py,OrdinalEncoder,ordinal_encoding,#Any#Any#Any#Any#Any#,255

Before Change

                else:
                    categories = [x if x is not None else np.nan for x in pd.unique(X[col].values)]

                data = {}

                if handle_missing == "value":
                    data[np.nan] = -2

                for i in range(len(categories)):
                    data[categories[i]] = i + 1

                if handle_missing == "return_nan":
                    data[np.nan] = -2

                mapping = pd.Series(data)

After Change

                else:
                    categories = X[col].unique()

                index = pd.Series(categories).fillna(nan_identity).unique()

                data = pd.Series(index=index, data=range(1, len(index) + 1))

Instances