decode feature and barcode information from h5 as ascii (#14)

in addition switch `__str__` with `__repr__`

src/singlecellexperiment/SingleCellExperiment.py

@@ -414,15 +414,15 @@ def col_pairs(self, pairs: MutableMapping[str, MatrixTypesWithFrame]):
         self._validate_pairs(pairs)
         self._col_pairs = pairs
 
-    def __str__(self) -> str:
+    def __repr__(self) -> str:
         pattern = (
             f"Class SingleCellExperiment with {self.shape[0]} features and {self.shape[1]} cells \n"
             f"  main_experiment_name: {self.main_experiment_name if self.main_experiment_name is not None else None} \n"
             f"  assays: {list(self.assays.keys())} \n"
-            f"  features: {self.row_data.columns if self.row_data is not None else None} \n"
-            f"  cell annotations: {self.col_data.columns if self.col_data is not None else None} \n"
-            f"  reduced dimensions: {self.reduced_dim_names if self.reduced_dims is not None else None} \n"
-            f"  alternative experiments: {list(self.alternative_experiments.keys()) if self.alternative_experiments is not None else None}"  # noqa: E501
+            f"  row_data: {self.row_data.columns if self.row_data is not None else None} \n"
+            f"  col_data: {self.col_data.columns if self.col_data is not None else None} \n"
+            f"  reduced_dims: {self.reduced_dim_names if self.reduced_dims is not None else None} \n"
+            f"  alternative_experiments: {list(self.alternative_experiments.keys()) if self.alternative_experiments is not None else None}"  # noqa: E501
         )
         return pattern
 

src/singlecellexperiment/io/tenx.py

@@ -69,12 +69,12 @@ def read_tenx_h5(path: str) -> SingleCellExperiment:
     if "features" in groups:
         features = pd.DataFrame()
         for key, val in h5["matrix"]["features"].items():
-            features[key] = val[:]
+            features[key] = [x.decode("ascii") for x in val[:]]
 
     barcodes = None
     if "barcodes" in groups:
         barcodes = pd.DataFrame()
-        barcodes["barcodes"] = h5["matrix"]["barcodes"][:]
+        barcodes["barcodes"] = [x.decode("ascii") for x in h5["matrix"]["barcodes"][:]]
 
     return SingleCellExperiment(
         assays={"counts": counts}, row_data=features, col_data=barcodes