Static-frame

Fixed issue when supplying ``dtype`` arguments to ``apply`` methods with string dtypes.

Added ``parameters`` argument to ``Frame.from_sql`` to perform SQL parameter substitution.

In group-by operations where the group key is a hashable, the returned ``Index.name`` will be set to that key.

Performance enhancements to ``Bus.iter_element().apply()`` and `Bus.iter_element_items().apply()``.

Performance enhancements to ``Index`` initialization.

Performance enhancements to ``Series.iter_element().apply()``, ``Series.iter_element().map_any()``, ``Series.iter_element().map_all()``, and ``Series.iter_element().map_fill()``.

Performance enhancements to ``Frame.iter_series().apply()``, ``Frame.iter_tuple().apply()``, ``Frame.iter_array().apply()``.

Performance enhancements to ``Series.dropna()``.

``Series.relabel()`` and ``Frame.relabel()`` now raise if given a ``set`` or ``frozenset``.

Fixed issue in ``Frame.assign.loc[]`` when using a Boolean array as a column selector.

Added ``Frame.cov``, ``Series.cov``, and ``Batch.cov``.

Performance enhancements to ``loc`` selections by element.

Implemented support for multiprocessing Frame writing from ``StoreZip`` subclasses used by ``Bus``, ``Batch``, and ``Quilt``.

Enabled ``write_max_workers`` and ``write_chunksize`` in ``StoreConfig``.

Added py.typed file to package.

Improved exceptions raised when attempting to write to a file at an invalid path.

Improved handling of reading files with columns but no data with ``Frame.from_delimited``.

Frame.rename`` now accepts optional arguments for ``index`` and ``columns`` renaming.

``Series.rename`` now accepts an optional argument for ``index`` renaming.

Added ``Frame.relabel_shift_in()`` and ``Frame.relabel_shift_out()``.

Fixed issue where ``Frame.dropna()`` fails on single-columns ``Frame``.

Extended ``IndexHierarchy.level_drop`` to perform corresponding drops on ``name`` when ``name`` is an appropriately sized tuple.

Extended ``Frame.set_index`` to support creating a 1D index of tuples when more than one column is selected.