numpy.unique(arr, return_index, return_inverse, return_counts) 1. 参数说明, import numpy as np a=np.array([5,2,6,2,7,5,6,8,2,9]) print 'First array:' print a print '\n' print 'Unique values of first array:' u=np.unique(a) print u print '\n' print 'Unique array and ...
a = np.array(...): Create a NumPy array 'a' containing the given integer values. np.unique(a, return_counts=True): Find the unique elements in the array 'a' and their counts using the np.unique function. The return_counts parameter is set to True, so the function returns two arra...
The unique() function is used to get unique values of Series object. Uniques are returned in order of appearance. Hash table-based unique, therefore does NOT sort. Syntax: Series.unique(self) Returns:ndarray or ExtensionArray The unique values returned as a NumPy array. See Notes. Notes:Retu...
The indices to reconstruct the original array from the unique array. Only provided ifreturn_inverseis True. unique_countsndarray, optional The number of times each of the unique values comes up in the original array. Only provided ifreturn_countsis True. New in version 1.9.0. See also numpy...
The number of times each of the unique values comes up in the original array. Only provided ifreturn_countsis True. New in version 1.9.0. See also numpy.lib.arraysetops Module with a number of other functions for performing set operations on arrays. ...
numpy.unique(filt, trim='fb') Parameters: Return value: unique: The sorted unique elements of the array. unique_indices (Optional): Indices of the first occurrences of the unique values in the original array. Returned if return_index is True. ...
numpy.unique Find the unique elements of an array. Returns the sorted unique elements of an array. There are three optional outputs in addition to the unique elements: the indices of the input array that give the unique values, the indices of the unique array that reconstruct the input array...
Python | Pandas Series.unique(), While analyzing the data, many times the user wants to see the unique values in a particular column, which can be done using Pandas unique() function.. To download the CSV file used, Click Here.. Syntax: Series.unique() Return Type: Numpy array of uniq...
import numpy as np arr = np.array([1, 2, 2, 3, 3, 3, 4]) unique_elements = np.unique(arr) print('The unique values of the input array is:\n', unique_elements) Output:Here, simply thenp.unique()function in Python will return all the unique values from the input array. ...
numpy DOC: let docstring mention that unique_values is now unsorted Mar 14, 2025 requirements use OpenBLAS 0.3.29 Feb 14, 2025 tools ENH: Add ARM64 (aarch64) CI testing (numpy#28263) Mar 12, 2025 vendored-meson BLD: update vendored Meson to include a fix for AIX Oct 15, 2024 .ci...