# tf.strings.split

tf.strings.split(
source,
sep=None,
maxsplit=-1
)


Split elements of source based on sep into a SparseTensor.

Let N be the size of source (typically N will be the batch size). Split each element of source based on sep and return a SparseTensor containing the split tokens. Empty tokens are ignored.

For example, N = 2, source[0] is 'hello world' and source[1] is 'a b c', then the output will be

st.indices = [0, 0; 0, 1; 1, 0; 1, 1; 1, 2] st.shape = [2, 3] st.values = ['hello', 'world', 'a', 'b', 'c']

If sep is given, consecutive delimiters are not grouped together and are deemed to delimit empty strings. For example, source of "1<>2<><>3" and sep of "<>" returns ["1", "2", "", "3"]. If sep is None or an empty string, consecutive whitespace are regarded as a single separator, and the result will contain no empty strings at the startor end if the string has leading or trailing whitespace.

Note that the above mentioned behavior matches python's str.split.

#### Args:

• source: 1-D string Tensor, the strings to split.
• sep: 0-D string Tensor, the delimiter character.
• maxsplit: An int. If maxsplit > 0, limit of the split of the result.

#### Raises:

• ValueError: If sep is not a string.

#### Returns:

A SparseTensor of rank 2, the strings split according to the delimiter. The first column of the indices corresponds to the row in source and the second column corresponds to the index of the split component in this row.