rm CondaPkg environment

.CondaPkg/env/Lib/site-packages/skimage/measure/entropy.py

@@ -1,41 +0,0 @@
-from numpy import unique
-from scipy.stats import entropy as scipy_entropy
-
-
-def shannon_entropy(image, base=2):
-    """Calculate the Shannon entropy of an image.
-
-    The Shannon entropy is defined as S = -sum(pk * log(pk)),
-    where pk are frequency/probability of pixels of value k.
-
-    Parameters
-    ----------
-    image : (N, M) ndarray
-        Grayscale input image.
-    base : float, optional
-        The logarithmic base to use.
-
-    Returns
-    -------
-    entropy : float
-
-    Notes
-    -----
-    The returned value is measured in bits or shannon (Sh) for base=2, natural
-    unit (nat) for base=np.e and hartley (Hart) for base=10.
-
-    References
-    ----------
-    .. [1] `https://en.wikipedia.org/wiki/Entropy_(information_theory) <https://en.wikipedia.org/wiki/Entropy_(information_theory)>`_
-    .. [2] https://en.wiktionary.org/wiki/Shannon_entropy
-
-    Examples
-    --------
-    >>> from skimage import data
-    >>> from skimage.measure import shannon_entropy
-    >>> shannon_entropy(data.camera())
-    7.231695011055706
-    """
-
-    _, counts = unique(image, return_counts=True)
-    return scipy_entropy(counts, base=base)