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Function trapz

numpy/lib/function_base.py:4859–4985  ·  view source on GitHub ↗

r""" Integrate along the given axis using the composite trapezoidal rule. If `x` is provided, the integration happens in sequence along its elements - they are not sorted. Integrate `y` (`x`) along each 1d slice on the given axis, compute :math:`\int y(x) dx`. When `x` is s

(y, x=None, dx=1.0, axis=-1)

Source from the content-addressed store, hash-verified

4857
4858@array_function_dispatch(_trapz_dispatcher)
4859def trapz(y, x=None, dx=1.0, axis=-1):
4860 r"""
4861 Integrate along the given axis using the composite trapezoidal rule.
4862
4863 If `x` is provided, the integration happens in sequence along its
4864 elements - they are not sorted.
4865
4866 Integrate `y` (`x`) along each 1d slice on the given axis, compute
4867 :math:`\int y(x) dx`.
4868 When `x` is specified, this integrates along the parametric curve,
4869 computing :math:`\int_t y(t) dt =
4870 \int_t y(t) \left.\frac{dx}{dt}\right|_{x=x(t)} dt`.
4871
4872 Parameters
4873 ----------
4874 y : array_like
4875 Input array to integrate.
4876 x : array_like, optional
4877 The sample points corresponding to the `y` values. If `x` is None,
4878 the sample points are assumed to be evenly spaced `dx` apart. The
4879 default is None.
4880 dx : scalar, optional
4881 The spacing between sample points when `x` is None. The default is 1.
4882 axis : int, optional
4883 The axis along which to integrate.
4884
4885 Returns
4886 -------
4887 trapz : float or ndarray
4888 Definite integral of `y` = n-dimensional array as approximated along
4889 a single axis by the trapezoidal rule. If `y` is a 1-dimensional array,
4890 then the result is a float. If `n` is greater than 1, then the result
4891 is an `n`-1 dimensional array.
4892
4893 See Also
4894 --------
4895 sum, cumsum
4896
4897 Notes
4898 -----
4899 Image [2]_ illustrates trapezoidal rule -- y-axis locations of points
4900 will be taken from `y` array, by default x-axis distances between
4901 points will be 1.0, alternatively they can be provided with `x` array
4902 or with `dx` scalar. Return value will be equal to combined area under
4903 the red lines.
4904
4905
4906 References
4907 ----------
4908 .. [1] Wikipedia page: https://en.wikipedia.org/wiki/Trapezoidal_rule
4909
4910 .. [2] Illustration image:
4911 https://en.wikipedia.org/wiki/File:Composite_trapezoidal_rule_illustration.png
4912
4913 Examples
4914 --------
4915 Use the trapezoidal rule on evenly spaced points:
4916

Callers 4

test_simpleMethod · 0.90
test_ndimMethod · 0.90
test_maskedMethod · 0.90
_fake_trapzFunction · 0.85

Calls 5

asanyarrayFunction · 0.85
reshapeMethod · 0.80
diffFunction · 0.70
sumMethod · 0.45
reduceMethod · 0.45

Tested by 3

test_simpleMethod · 0.72
test_ndimMethod · 0.72
test_maskedMethod · 0.72