.tan()

In NumPy, the .tan() function calculates the tangent of each element in an array, where the elements are interpreted as angles in radians. It is used for mathematical computations involving trigonometric operations.

Syntax

numpy.tan(array, out = None, where=True)

• array: An array-like or scalar containing angles in radians. The function computes the tangent of each element.
• out: An optional parameter specifying an array where the result will be stored. If not provided, a new array is created.
• where: A condition or boolean array that determines which elements of array are used to compute the tangent. The tangent is computed only for elements where the condition is True, other elements remain unchanged.

Example

The below example shows the .tan() function in use:

import numpy as np

# Array of angles in radians
angles_in_radians = np.array([0, np.pi/6, np.pi/4, np.pi/3])

# Create an empty array to store the results
out = np.empty_like(angles_in_radians)

# Compute the tangent of each angle
tangents = np.tan(angles_in_radians, out=out)

print("Tangents:", out)

The output would be:

Tangents: [0.         0.57735027 1.         1.73205081]

Codebyte Example

Run the following code to understand how the .tan() function works:

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