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Specifications and Common Mistakes

- Specifications and Common Mistakes:

- Misspellings or punctuation mistakes,incorrect formulas, abnormal display.

- Incorrect links, empty cells, or wrong formats.

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mindspore.numpy.tan

mindspore.numpy.tan(x, dtype=None)

Computes tangent element-wise.

Equivalent to $np.sin(x)/np.cos(x)$ element-wise.

Note

Numpy arguments out, where, casting, order, subok, signature, and extobj are not supported.

Parameters

• x (Tensor) – Input tensor.

• dtype (mindspore.dtype, optional) – Default: None. Overrides the dtype of the output Tensor.

Returns

Tensor or scalar. This is a scalar if x is a scalar.

Raises

TypeError – If the input is not a tensor or the dtype of tensor is mindspore.float64.

Supported Platforms:

Ascend CPU

Examples

>>> import mindspore.numpy as np
>>> x = np.array([-5, -1, 0, 2, 4, 100]).astype('float32')
>>> print(np.tan(x))
[ 3.380515   -1.5574077   0.         -2.1850398   1.1578213  -0.58721393]