Datasets

ExeTera works with HDF5 datasets under the hood, and the Dataset class is the means why which you interact with it at the top level. Each Dataset instance corresponds to a physical dataset that has been created or opened through a call to session.open_dataset.

Datasets are in turn used to create, access and delete DataFrames. Each DataFrame is a top-level HDF5 group that is intended to be very much like and familiar to the Pandas DataFrame.

Dataset usage examples

Create a new dataframe

ds = # get a dataset from somewhere
df = ds.create_dataframe('foo')

Delete an existing dataframe

ds = # get a dataset from somewhere
ds.delete_dataframe('foo')

Rename a dataframe

ds = # get a dataset from somewhere
ds['bar'] = ds['foo'] # internally performs a rename
dataset.move(ds['bar'], ds, 'foo')

Copy a dataframe within a dataset

dataset.copy(ds['foo'], ds, 'bar')

Copy a dataframe between datasets

ds1 = # get a dataset from somewhere
ds2 = # get another dataset from somewhere

ds2['foo'] = ds1['foo']
ds2['foobar'] = ds1['bar']