scipy.special.k0e#
- scipy.special.k0e(x, out=None) = <ufunc 'k0e'>#
- Exponentially scaled modified Bessel function K of order 0 - Defined as: - k0e(x) = exp(x) * k0(x). - Parameters:
- xarray_like
- Argument (float) 
- outndarray, optional
- Optional output array for the function values 
 
- Returns:
- Kscalar or ndarray
- Value of the exponentially scaled modified Bessel function K of order 0 at x. 
 
 - See also - Notes - The range is partitioned into the two intervals [0, 2] and (2, infinity). Chebyshev polynomial expansions are employed in each interval. - This function is a wrapper for the Cephes [1] routine - k0e.- k0eis useful for large arguments: for these,- k0easily underflows.- References [1]- Cephes Mathematical Functions Library, http://www.netlib.org/cephes/ - Examples - In the following example - k0returns 0 whereas- k0estill returns a useful finite number:- >>> from scipy.special import k0, k0e >>> k0(1000.), k0e(1000) (0., 0.03962832160075422) - Calculate the function at several points by providing a NumPy array or list for x: - >>> import numpy as np >>> k0e(np.array([0.5, 2., 3.])) array([1.52410939, 0.84156822, 0.6977616 ]) - Plot the function from 0 to 10. - >>> import matplotlib.pyplot as plt >>> fig, ax = plt.subplots() >>> x = np.linspace(0., 10., 1000) >>> y = k0e(x) >>> ax.plot(x, y) >>> plt.show() 