mindspore.dataset.text.to_bytes
- mindspore.dataset.text.to_bytes(array, encoding='utf8')[source]
Convert NumPy array of str to array of bytes by encoding each element based on charset encoding .
- Parameters
array (numpy.ndarray) – Array of str type representing strings.
encoding (str) – Indicating the charset for encoding. Default:
'utf8'
.
- Returns
numpy.ndarray, NumPy array of bytes .
Examples
>>> import numpy as np >>> import mindspore.dataset as ds >>> import mindspore.dataset.text as text >>> >>> data = np.array([["1", "2", "3"]], dtype=np.str_) >>> dataset = ds.NumpySlicesDataset(data, column_names=["text"]) >>> result = [] >>> for item in dataset.create_dict_iterator(num_epochs=1, output_numpy=True): ... result.append(text.to_bytes(item["text"])) >>> print(result) [array([b'1', b'2', b'3'], dtype='|S1')]