PandasDataset.from_long_dataframe's static_features is putting things always as static real instead of static cat

[Bateoriginal]

Do you know who I should contact to create PandasDataset with the from_long_dataframe method? multiple_ts_long_dataset's ['feat_static_cat'] is always empty whereas multiple_ts_long_dataset's['feat_static_real'] always have the values. I want my values in the ['feat_static_cat'] not in ['feat_static_real'] .

This is what I have tried so far:

static_features_df = filtered_zf_df[["SKU", "SKU_DESC", "SUBDEPT_ID", "SUBDEPT_DESC", "DEPT_ID", "DEPT_DESC"]].drop_duplicates().set_index("SKU")

static_features_df["SKU_DESC"] = static_features_df["SKU_DESC"].astype('category')
static_features_df["SUBDEPT_DESC"] = static_features_df["SUBDEPT_DESC"].astype('category')
static_features_df["DEPT_DESC"] = static_features_df["DEPT_DESC"].astype('category')

static_features_df["SUBDEPT_ID"] = static_features_df["SUBDEPT_ID"].astype('category')
static_features_df["DEPT_ID"] = static_features_df["DEPT_ID"].astype('category')

multiple_ts_long_dataset = PandasDataset.from_long_dataframe(
filtered_zf_df,
target="SALES",
item_id="SKU",
feat_dynamic_real=["AVG_UNIT_PRICE", "NUNIQUE_LOYAL_CARD_NO", "COUNT_TX_ID"],
static_features=static_features_df,
)