2ab1119596b420cc696a783271d617562ccf7e28,cesium/tests/fixtures.py,,sample_featureset,#Any#Any#Any#Any#Any#Any#,42

Before Change

    feat_dict = {f: (["channel", "name"], [np.random.random(size)
                                           for i in range(n_channels)])
                 for f in features}
    fset = xr.Dataset(feat_dict)
    fset.coords["name"] = ts_names
    fset.coords["channel"] = range(n_channels)
    if targets:
        ts_targets = np.array(list(islice(cycle(targets), size)))
        fset.coords["target"] = ("name", ts_targets)
    if names:
        fset.name.values = names 
    for feat in meta_features:
        fset[feat] = ("name", np.random.random(size))

    return Featureset(fset)

After Change

    ts_names = np.arange(size).astype("str")
    index = pd.MultiIndex.from_tuples([(f, i) for f in features for i in range(n_channels)],
                                      names=["feature", "channel"])
    fset = pd.DataFrame(np.random.random((size, len(features) * n_channels)),
                        columns=index)
    if targets:
        targets = np.array(list(islice(cycle(targets), size)))
    if names:
        fset.index = names
    for feat in meta_features:
        fset[feat] = np.random.random(size)

    return fset, targets

Instances