import numpy as np arr = np.array([1, 2, 2, 3, 4, 4, 5]) unique_arr, indices = np.unique(arr, return_index=True) print("Unique array:", unique_arr) print("Indices of unique elements in original array:", indices)
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 Indices array:' u,indices=np.unique(a, return_index=True) print indices print...
NumPy { +array() +unique() } Pandas { +DataFrame() +drop_duplicates() } UniqueCombiner ||--o| NumPy : uses UniqueCombiner ||--o| Pandas : interacts 实战对比 在不同的实现方案中,我们需要考虑其压力测试和资源消耗的情况。使用桑基图可有效展示不同方案的资源消耗对比。 sankey title 资源消耗对...
这种方法不直接使用 unique 函数,但可以达到去除0值的效果。 python import numpy as np # 假设原数组为a a = np.array([0, 1, 2, 0, 3, 4, 0, 5]) # 使用布尔索引去除0值 a_filtered = a[a != 0] # 使用unique函数去除剩余元素中的重复值 unique_elements = np.unique(a_filtered) print(...
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...
A Quick Introduction to Numpy Unique The Numpy unique function is pretty straight forward: it identifies the unique values in a Numpy array. So let’s say we have a Numpy array with repeated values. If we apply the np.unique function to this array, it will output the unique values. ...
numpy.unique numpy.unique(ar,return_index=False,return_inverse=False,return_counts=False,axis=None)[source] 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:...
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...
numpy.unique() functionThe numpy.unique() function is used to 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 ...
In [1]: importnumpyasnpimportpandasaspd In [2]: pd.Series([2,4,3,3],name='P').unique() Out[2]: array([2, 4, 3], dtype=int64) In [3]: pd.Series([pd.Timestamp('2019-01-01')for_inrange(3)]).unique() Out[3]: ...