Tensors¶

Creating Tensors¶

`Dataset.create_tensor`	Creates a new tensor in the dataset.
`Dataset.create_group`	Creates a tensor group.
`Dataset.create_tensor_like`	Copies the `source` tensor’s meta information and creates a new tensor with it.

`Dataset.delete_tensor`	Delete a tensor from the dataset.
`Dataset.delete_group`	Delete a tensor group from the dataset.
`Dataset.rename_tensor`	Renames tensor with name `name` to `new_name`
`Dataset.rename_group`	Renames group with name `name` to `new_name`

`Tensor.append`	Appends a single sample to the end of the tensor.
`Tensor.extend`	Extends the end of the tensor by appending multiple elements from a sequence.
`Tensor.pop`	Removes an element at the given index.
`Tensor.clear`	Deletes all samples from the tensor
`Tensor.__setitem__`	Update samples with new values.

`Tensor.numpy`	Computes the contents of the tensor in numpy format.
`Tensor.data`	Returns data in the tensor in a format based on the tensor’s base htype.
`Tensor.tobytes`	Returns the bytes of the tensor.
`Tensor.text`	Return text data.
`Tensor.dict`	Return json data.
`Tensor.list`	Return list data.
`Tensor._linked_sample`	Returns the linked sample at the given index.

`Tensor.htype`	Htype of the tensor.
`Tensor.base_htype`	Base htype of the tensor.
`Tensor.dtype`	Dtype of the tensor.
`Tensor.shape`	Get the shape of this tensor.
`Tensor.shape_interval`	Returns a `ShapeInterval` object that describes this tensor’s shape more accurately.
`Tensor.ndim`	Number of dimensions of the tensor.
`Tensor.num_samples`	Returns the length of the primary axis of the tensor.
`Tensor.__len__`	Returns the length of the primary axis of the tensor.
`Tensor.is_dynamic`	Will return `True` if samples in this tensor have shapes that are unequal.
`Tensor.is_sequence`	Whether this tensor is a sequence tensor.
`Tensor.is_link`	Whether this tensor is a link tensor.
`Tensor.verify`	Whether linked data will be verified when samples are added.

`Tensor.info`	Returns the information about the tensor.
`Tensor.sample_info`	Returns info about particular samples in a tensor.

`Tensor.play`	Play video sample.
`Tensor.timestamps`	Returns timestamps (in seconds) for video sample as numpy array.