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Fix typos in HDFStore docs #27940

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Aug 16, 2019
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Fix typos in HDFStore docs #27940

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12 changes: 6 additions & 6 deletions doc/source/user_guide/io.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -3572,7 +3572,7 @@ Closing a Store and using a context manager:
Read/write API
''''''''''''''

``HDFStore`` supports an top-level API using ``read_hdf`` for reading and ``to_hdf`` for writing,
``HDFStore`` supports a top-level API using ``read_hdf`` for reading and ``to_hdf`` for writing,
similar to how ``read_csv`` and ``to_csv`` work.

.. ipython:: python
Expand Down Expand Up @@ -3687,7 +3687,7 @@ Hierarchical keys
Keys to a store can be specified as a string. These can be in a
hierarchical path-name like format (e.g. ``foo/bar/bah``), which will
generate a hierarchy of sub-stores (or ``Groups`` in PyTables
parlance). Keys can be specified with out the leading '/' and are **always**
parlance). Keys can be specified without the leading '/' and are **always**
absolute (e.g. 'foo' refers to '/foo'). Removal operations can remove
everything in the sub-store and **below**, so be *careful*.

Expand Down Expand Up @@ -3825,7 +3825,7 @@ data.

A query is specified using the ``Term`` class under the hood, as a boolean expression.

* ``index`` and ``columns`` are supported indexers of a ``DataFrames``.
* ``index`` and ``columns`` are supported indexers of ``DataFrames``.
* if ``data_columns`` are specified, these can be used as additional indexers.

Valid comparison operators are:
Expand Down Expand Up @@ -3917,7 +3917,7 @@ Use boolean expressions, with in-line function evaluation.

store.select('dfq', "index>pd.Timestamp('20130104') & columns=['A', 'B']")

Use and inline column reference
Use inline column reference.

.. ipython:: python

Expand Down Expand Up @@ -4593,8 +4593,8 @@ Performance
write chunksize (default is 50000). This will significantly lower
your memory usage on writing.
* You can pass ``expectedrows=<int>`` to the first ``append``,
to set the TOTAL number of expected rows that ``PyTables`` will
expected. This will optimize read/write performance.
to set the TOTAL number of rows that ``PyTables`` will expect.
This will optimize read/write performance.
* Duplicate rows can be written to tables, but are filtered out in
selection (with the last items being selected; thus a table is
unique on major, minor pairs)
Expand Down