@@ -76,7 +76,7 @@ def cartesian_product_df(df, sort_rows=False, sort_columns=False, fill_value=nan
7676 return df .reindex (index = new_index , columns = columns , fill_value = fill_value , ** kwargs ), labels
7777
7878
79- def from_series (s , sort_rows = False , fill_value = nan , meta = None , ** kwargs ):
79+ def from_series (s , sort_rows = False , fill_value = nan , meta = None , ** kwargs ) -> Array :
8080 r"""
8181 Converts Pandas Series into Array.
8282
@@ -145,7 +145,7 @@ def from_series(s, sort_rows=False, fill_value=nan, meta=None, **kwargs):
145145
146146
147147def from_frame (df , sort_rows = False , sort_columns = False , parse_header = False , unfold_last_axis_name = False ,
148- fill_value = nan , meta = None , cartesian_prod = True , ** kwargs ):
148+ fill_value = nan , meta = None , cartesian_prod = True , ** kwargs ) -> Array :
149149 r"""
150150 Converts Pandas DataFrame into Array.
151151
@@ -275,7 +275,7 @@ def set_dataframe_index_by_position(df, index_col_indices):
275275
276276
277277def df_asarray (df , sort_rows = False , sort_columns = False , raw = False , parse_header = True , wide = True , cartesian_prod = True ,
278- ** kwargs ):
278+ ** kwargs ) -> Array :
279279 r"""
280280 Prepare Pandas DataFrame and then convert it into Array.
281281
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