TYP: io.pytables annotations

pandas/io/pytables.py

@@ -53,7 +53,7 @@
 from pandas.io.formats.printing import adjoin, pprint_thing
 
 if TYPE_CHECKING:
-    from tables import File  # noqa:F401
+    from tables import File, Node  # noqa:F401
 
 
 # versioning attribute
@@ -244,7 +244,7 @@ def to_hdf(
     key,
     value,
     mode=None,
-    complevel=None,
+    complevel: Optional[int] = None,
     complib=None,
     append=None,
     **kwargs,
@@ -459,12 +459,14 @@ class HDFStore:
     """
 
     _handle: Optional["File"]
+    _complevel: int
+    _fletcher32: bool
 
     def __init__(
         self,
         path,
         mode=None,
-        complevel=None,
+        complevel: Optional[int] = None,
         complib=None,
         fletcher32: bool = False,
         **kwargs,
@@ -526,7 +528,7 @@ def __getattr__(self, name: str):
             f"'{type(self).__name__}' object has no attribute '{name}'"
         )
 
-    def __contains__(self, key: str):
+    def __contains__(self, key: str) -> bool:
         """ check for existence of this key
               can match the exact pathname or the pathnm w/o the leading '/'
               """
@@ -1267,18 +1269,22 @@ def walk(self, where="/"):
 
             yield (g._v_pathname.rstrip("/"), groups, leaves)
 
-    def get_node(self, key: str):
+    def get_node(self, key: str) -> Optional["Node"]:
         """ return the node with the key or None if it does not exist """
         self._check_if_open()
         if not key.startswith("/"):
             key = "/" + key
 
         assert self._handle is not None
+        assert _table_mod is not None  # for mypy
         try:
-            return self._handle.get_node(self.root, key)
-        except _table_mod.exceptions.NoSuchNodeError:  # type: ignore
+            node = self._handle.get_node(self.root, key)
+        except _table_mod.exceptions.NoSuchNodeError:
             return None
 
+        assert isinstance(node, _table_mod.Node), type(node)
+        return node
+
     def get_storer(self, key: str) -> Union["GenericFixed", "Table"]:
         """ return the storer object for a key, raise if not in the file """
         group = self.get_node(key)
@@ -1296,7 +1302,7 @@ def copy(
         propindexes: bool = True,
         keys=None,
         complib=None,
-        complevel=None,
+        complevel: Optional[int] = None,
         fletcher32: bool = False,
         overwrite=True,
     ):
@@ -1387,7 +1393,9 @@ def info(self) -> str:
 
         return output
 
-    # private methods ######
+    # ------------------------------------------------------------------------
+    # private methods
+
     def _check_if_open(self):
         if not self.is_open:
             raise ClosedFileError(f"{self._path} file is not open!")
@@ -1559,7 +1567,7 @@ def _write_to_group(
         if isinstance(s, Table) and index:
             s.create_index(columns=index)
 
-    def _read_group(self, group, **kwargs):
+    def _read_group(self, group: "Node", **kwargs):
         s = self._create_storer(group)
         s.infer_axes()
         return s.read(**kwargs)
@@ -1786,7 +1794,7 @@ def copy(self):
         new_self = copy.copy(self)
         return new_self
 
-    def infer(self, handler):
+    def infer(self, handler: "Table"):
         """infer this column from the table: create and return a new object"""
         table = handler.table
         new_self = self.copy()
@@ -2499,9 +2507,16 @@ class Fixed:
     pandas_kind: str
     obj_type: Type[Union[DataFrame, Series]]
     ndim: int
+    parent: HDFStore
+    group: "Node"
     is_table = False
 
-    def __init__(self, parent, group, encoding=None, errors="strict", **kwargs):
+    def __init__(
+        self, parent: HDFStore, group: "Node", encoding=None, errors="strict", **kwargs
+    ):
+        assert isinstance(parent, HDFStore), type(parent)
+        assert _table_mod is not None  # needed for mypy
+        assert isinstance(group, _table_mod.Node), type(group)
         self.parent = parent
         self.group = group
         self.encoding = _ensure_encoding(encoding)
@@ -2568,11 +2583,11 @@ def _filters(self):
         return self.parent._filters
 
     @property
-    def _complevel(self):
+    def _complevel(self) -> int:
         return self.parent._complevel
 
     @property
-    def _fletcher32(self):
+    def _fletcher32(self) -> bool:
         return self.parent._fletcher32
 
     @property
@@ -2637,7 +2652,7 @@ def read(
 
     def write(self, **kwargs):
         raise NotImplementedError(
-            "cannot write on an abstract storer: sublcasses should implement"
+            "cannot write on an abstract storer: subclasses should implement"
         )
 
     def delete(
@@ -2803,7 +2818,7 @@ def write_index(self, key: str, index: Index):
             if isinstance(index, DatetimeIndex) and index.tz is not None:
                 node._v_attrs.tz = _get_tz(index.tz)
 
-    def write_multi_index(self, key, index):
+    def write_multi_index(self, key: str, index: MultiIndex):
         setattr(self.attrs, f"{key}_nlevels", index.nlevels)
 
         for i, (lev, level_codes, name) in enumerate(
@@ -2828,7 +2843,7 @@ def write_multi_index(self, key, index):
             label_key = f"{key}_label{i}"
             self.write_array(label_key, level_codes)
 
-    def read_multi_index(self, key, **kwargs) -> MultiIndex:
+    def read_multi_index(self, key: str, **kwargs) -> MultiIndex:
         nlevels = getattr(self.attrs, f"{key}_nlevels")
 
         levels = []
@@ -2849,7 +2864,7 @@ def read_multi_index(self, key, **kwargs) -> MultiIndex:
         )
 
     def read_index_node(
-        self, node, start: Optional[int] = None, stop: Optional[int] = None
+        self, node: "Node", start: Optional[int] = None, stop: Optional[int] = None
     ):
         data = node[start:stop]
         # If the index was an empty array write_array_empty() will
@@ -3310,7 +3325,7 @@ def values_cols(self) -> List[str]:
         """ return a list of my values cols """
         return [i.cname for i in self.values_axes]
 
-    def _get_metadata_path(self, key) -> str:
+    def _get_metadata_path(self, key: str) -> str:
         """ return the metadata pathname for this key """
         group = self.group._v_pathname
         return f"{group}/meta/{key}/meta"
@@ -3877,10 +3892,10 @@ def process_filter(field, filt):
     def create_description(
         self,
         complib=None,
-        complevel=None,
+        complevel: Optional[int] = None,
         fletcher32: bool = False,
         expectedrows: Optional[int] = None,
-    ):
+    ) -> Dict[str, Any]:
         """ create the description of the table from the axes & values """
 
         # provided expected rows if its passed
@@ -4537,10 +4552,10 @@ def _set_tz(values, tz, preserve_UTC: bool = False, coerce: bool = False):
     return values
 
 
-def _convert_index(name: str, index, encoding=None, errors="strict"):
+def _convert_index(name: str, index: Index, encoding=None, errors="strict"):
     assert isinstance(name, str)
 
-    index_name = getattr(index, "name", None)
+    index_name = index.name
 
     if isinstance(index, DatetimeIndex):
         converted = index.asi8
@@ -4630,8 +4645,9 @@ def _convert_index(name: str, index, encoding=None, errors="strict"):
         )
 
 
-def _unconvert_index(data, kind, encoding=None, errors="strict"):
-    kind = _ensure_decoded(kind)
+def _unconvert_index(data, kind: str, encoding=None, errors="strict"):
+    index: Union[Index, np.ndarray]
+
     if kind == "datetime64":
         index = DatetimeIndex(data)
     elif kind == "timedelta64":