mindspore.dataset.transforms.c_transforms.Concatenate
- class mindspore.dataset.transforms.c_transforms.Concatenate(axis=0, prepend=None, append=None)[source]
Tensor operation that concatenates all columns into a single tensor.
- Parameters
axis (int, optional) – Concatenate the tensors along given axis (Default=0).
prepend (numpy.array, optional) – NumPy array to be prepended to the already concatenated tensors (Default=None).
append (numpy.array, optional) – NumPy array to be appended to the already concatenated tensors (Default=None).
Examples
>>> import numpy as np >>> # concatenate string >>> prepend_tensor = np.array(["dw", "df"], dtype='S') >>> append_tensor = np.array(["dwsdf", "df"], dtype='S') >>> concatenate_op = c_transforms.Concatenate(0, prepend_tensor, append_tensor) >>> data = [["This","is","a","string"]] >>> dataset = ds.NumpySlicesDataset(data) >>> dataset = dataset.map(operations=concatenate_op)