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Module « pandas »

Fonction read_hdf - module pandas

Signature de la fonction read_hdf

def read_hdf(path_or_buf: 'FilePath | HDFStore', key=None, mode: 'str' = 'r', errors: 'str' = 'strict', where: 'str | list | None' = None, start: 'int | None' = None, stop: 'int | None' = None, columns: 'list[str] | None' = None, iterator: 'bool' = False, chunksize: 'int | None' = None, **kwargs) 

Description

help(pandas.read_hdf)

Read from the store, close it if we opened it.

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
----------
path_or_buf : str, path object, pandas.HDFStore
    Any valid string path is acceptable. Only supports the local file system,
    remote URLs and file-like objects are not supported.

    If you want to pass in a path object, pandas accepts any
    ``os.PathLike``.

    Alternatively, pandas accepts an open :class:`pandas.HDFStore` object.

key : object, optional
    The group identifier in the store. Can be omitted if the HDF file
    contains a single pandas object.
mode : {'r', 'r+', 'a'}, default 'r'
    Mode to use when opening the file. Ignored if path_or_buf is a
    :class:`pandas.HDFStore`. Default is 'r'.
errors : str, default 'strict'
    Specifies how encoding and decoding errors are to be handled.
    See the errors argument for :func:`open` for a full list
    of options.
where : list, optional
    A list of Term (or convertible) objects.
start : int, optional
    Row number to start selection.
stop  : int, optional
    Row number to stop selection.
columns : list, optional
    A list of columns names to return.
iterator : bool, optional
    Return an iterator object.
chunksize : int, optional
    Number of rows to include in an iteration when using an iterator.
**kwargs
    Additional keyword arguments passed to HDFStore.

Returns
-------
object
    The selected object. Return type depends on the object stored.

See Also
--------
DataFrame.to_hdf : Write a HDF file from a DataFrame.
HDFStore : Low-level access to HDF files.

Examples
--------
>>> df = pd.DataFrame([[1, 1.0, 'a']], columns=['x', 'y', 'z'])  # doctest: +SKIP
>>> df.to_hdf('./store.h5', 'data')  # doctest: +SKIP
>>> reread = pd.read_hdf('./store.h5')  # doctest: +SKIP

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