load_feather
- pyhelpers.store.load_feather(path_to_feather, verbose=False, index=None, **kwargs)
Load a dataframe from a Feather file.
- Parameters
path_to_feather (str or os.PathLike[str]) – path where a feather file is saved
index (str or int or list or None) – index number of the column(s) to use as the row labels of the dataframe, defaults to
None
verbose (bool or int) – whether to print relevant information in console, defaults to
False
kwargs –
[optional] parameters of pandas.read_feather
columns: a sequence of column names, if
None
, all columnsuse_threads: whether to parallelize reading using multiple threads, defaults to
True
- Returns
data retrieved from the specified path
path_to_feather
- Return type
pandas.DataFrame
Note
Example data can be referred to the function
pyhelpers.store.save_feather()
.
Examples:
>>> from pyhelpers.store import load_feather >>> from pyhelpers.dir import cd >>> feather_path = cd("tests\data", "dat.feather") >>> feather_dat = load_feather(feather_path, index=0, verbose=True) Loading "tests\data\dat.feather" ... Done. >>> feather_dat Longitude Latitude City London -0.127647 51.507322 Birmingham -1.902691 52.479699 Manchester -2.245115 53.479489 Leeds -1.543794 53.797418