pandas.HDFStore.select

HDFStore.select(self, key: str, where=None, start=None, stop=None, columns=None, iterator=False, chunksize=None, auto_close: bool = False)

Retrieve pandas object stored in file, optionally based on where criteria.

Warning

Pandas uses PyTables for reading and writing HDF5 files, which allows serializing object-dtype data with pickle when using the “fixed” format. Loading pickled data received from untrusted sources can be unsafe.

See: https://docs.python.org/3/library/pickle.html for more.

Parameters

keystr

Object being retrieved from file.

wherelist, default None

List of Term (or convertible) objects, optional.

startint, default None

Row number to start selection.

stopint, default None

Row number to stop selection.

columnslist, default None

A list of columns that if not None, will limit the return columns.

iteratorbool, default False

Returns an iterator.

chunksizeint, default None

Number or rows to include in iteration, return an iterator.

auto_closebool, default False

Should automatically close the store when finished.

Returns

object

Retrieved object from file.

pandas.HDFStore.get pandas.HDFStore.info