scipy.stats.itemfreq¶
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scipy.stats.
itemfreq
(a)[source]¶ Return a 2-D array of item frequencies.
Parameters: a : (N,) array_like
Input array.
Returns: itemfreq : (K, 2) ndarray
A 2-D frequency table. Column 1 contains sorted, unique values from a, column 2 contains their respective counts.
Examples
>>> from scipy import stats >>> a = np.array([1, 1, 5, 0, 1, 2, 2, 0, 1, 4]) >>> stats.itemfreq(a) array([[ 0., 2.], [ 1., 4.], [ 2., 2.], [ 4., 1.], [ 5., 1.]]) >>> np.bincount(a) array([2, 4, 2, 0, 1, 1])
>>> stats.itemfreq(a/10.) array([[ 0. , 2. ], [ 0.1, 4. ], [ 0.2, 2. ], [ 0.4, 1. ], [ 0.5, 1. ]])