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[Term Entry] Python:NumPy Math Methods: .arctan() #5653
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[Term Entry] Python:NumPy Math Methods: .arctan()
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content/numpy/concepts/math-methods/terms/arctan/arctan.md
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--- | ||
Title: '.arctan()' | ||
Description: 'Calculates the inverse tangent of the elements in an array.' | ||
Subjects: | ||
- 'Computer Science' | ||
- 'Data Science' | ||
Tags: | ||
- 'NumPy' | ||
- 'Methods' | ||
- 'Arrays' | ||
- 'Elements' | ||
CatalogContent: | ||
- 'learn-python-3' | ||
- 'paths/computer-science' | ||
--- | ||
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In NumPy, the **`.arctan()`** method calculates the inverse tangent of the elements in an [array](https://www.codecademy.com/resources/docs/numpy/ndarray). | ||
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## Syntax | ||
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```pseudo | ||
numpy.arctan(arr, out=None, where=True) | ||
``` | ||
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- `arr`: The array to be iterated. | ||
- `out`: The array to be used for storing the result. If not provided or set to `None`, a new array is returned. | ||
- `where`: A boolean array or condition that specifies the elements for which the inverse tangent is to be calculated. If not provided, it defaults to `True` for all the elements. | ||
- If the condition is `True` for a specific element, the inverse tangent of that element is calculated. | ||
- If the condition is `False` for a particular element, that element remains unchanged. | ||
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## Example | ||
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The following example demonstrates the usage of the `.arctan()` method: | ||
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```py | ||
import numpy as np | ||
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# Creating an array | ||
arr = np.array([0, 1, 2, -1, -2]) | ||
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# Calculating the inverse tangent of the elements in the array | ||
res = np.arctan(arr) | ||
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print(res) | ||
``` | ||
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The above code produces the following output: | ||
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```shell | ||
[ 0. 0.78539816 1.10714872 -0.78539816 -1.10714872] | ||
``` | ||
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## Codebyte Example | ||
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The following codebyte example shows the use of the `.arctan()` method: | ||
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```codebyte/python | ||
import numpy as np | ||
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# Creating an array | ||
arr = np.array([10, 11, 12, -11, -12]) | ||
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# Calculating the inverse tangent of the elements in the array | ||
res = np.arctan(arr) | ||
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print(res) | ||
``` |
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Please extend this introduction.