Fix deprecated syntax in numpy (#1507)

* Fix deprecated syntax in numpy

* Replace np.bool with bool

qlib/contrib/strategy/rule_strategy.py

@@ -635,7 +635,7 @@ class FileOrderStrategy(BaseStrategy):
             self.order_df = file
         else:
             with get_io_object(file) as f:
-                self.order_df = pd.read_csv(f, dtype={"datetime": np.str})
+                self.order_df = pd.read_csv(f, dtype={"datetime": str})
 
         self.order_df["datetime"] = self.order_df["datetime"].apply(pd.Timestamp)
         self.order_df = self.order_df.set_index(["datetime", "instrument"])

qlib/data/dataset/__init__.py

@@ -417,7 +417,7 @@ class TSDataSampler:
             # NOTE: bool(np.nan) is True !!!!!!!!
             # make sure reindex comes first. Otherwise extra NaN may appear.
             flt_data = flt_data.swaplevel()
-            flt_data = flt_data.reindex(self.data_index).fillna(False).astype(np.bool)
+            flt_data = flt_data.reindex(self.data_index).fillna(False).astype(bool)
             self.flt_data = flt_data.values
             self.idx_map = self.flt_idx_map(self.flt_data, self.idx_map)
             self.data_index = self.data_index[np.where(self.flt_data)[0]]

tests/misc/test_index_data.py

@@ -76,7 +76,7 @@ class IndexDataTest(unittest.TestCase):
         self.assertTrue(np.isnan(sd.loc["bar", "g"]))
 
         # support slicing
-        print(sd.loc[~sd.loc[:, "g"].isna().data.astype(np.bool)])
+        print(sd.loc[~sd.loc[:, "g"].isna().data.astype(bool)])
 
         print(self.assertTrue(idd.SingleData().index == idd.SingleData().index))