Python Numpy根据列删除唯一行

我试图得到一个数组，它将根据第一列删除所有唯一的行。我的阵列工作原理如下所示

[['Aaple' 'Red']
 ['Aaple' '0.0']
 ['Banana' 'Yellow']
 ['Banana' '0.0']
 ['Orange' 'Orange']
 ['Pear' 'Yellow']
 ['Pear' '0.0']
 ['Strawberry' 'Red']]

[['Aaple' 'Red']
 ['Aaple' '0.0']
 ['Banana' 'Yellow']
 ['Banana' '0.0']
 ['Pear' 'Yellow']
 ['Pear' '0.0']]

arr = np.array(["Aaple", "Pear", "Banana"])

arr2 = np.array([["Strawberry", "Red"], ["Aaple", "Red"], ["Orange", "Orange"], ["Pear", "Yellow"], ["Banana", "Yellow"]])


arr = arr.reshape(-1,1)
zero_arr = np.zeros((len(arr), 1))
arr = np.column_stack((arr, zero_arr))
combine = np.vstack((arr2, arr))
sort = combine[combine[:,0].argsort()]
#Where the first array printed is sort

我希望它看起来像这样

[['Aaple' 'Red']
 ['Aaple' '0.0']
 ['Banana' 'Yellow']
 ['Banana' '0.0']
 ['Orange' 'Orange']
 ['Pear' 'Yellow']
 ['Pear' '0.0']
 ['Strawberry' 'Red']]

[['Aaple' 'Red']
 ['Aaple' '0.0']
 ['Banana' 'Yellow']
 ['Banana' '0.0']
 ['Pear' 'Yellow']
 ['Pear' '0.0']]

arr = np.array(["Aaple", "Pear", "Banana"])

arr2 = np.array([["Strawberry", "Red"], ["Aaple", "Red"], ["Orange", "Orange"], ["Pear", "Yellow"], ["Banana", "Yellow"]])


arr = arr.reshape(-1,1)
zero_arr = np.zeros((len(arr), 1))
arr = np.column_stack((arr, zero_arr))
combine = np.vstack((arr2, arr))
sort = combine[combine[:,0].argsort()]
#Where the first array printed is sort

它将从第一列中删除唯一值。我当前的代码如下所示

[['Aaple' 'Red']
 ['Aaple' '0.0']
 ['Banana' 'Yellow']
 ['Banana' '0.0']
 ['Orange' 'Orange']
 ['Pear' 'Yellow']
 ['Pear' '0.0']
 ['Strawberry' 'Red']]

[['Aaple' 'Red']
 ['Aaple' '0.0']
 ['Banana' 'Yellow']
 ['Banana' '0.0']
 ['Pear' 'Yellow']
 ['Pear' '0.0']]

arr = np.array(["Aaple", "Pear", "Banana"])

arr2 = np.array([["Strawberry", "Red"], ["Aaple", "Red"], ["Orange", "Orange"], ["Pear", "Yellow"], ["Banana", "Yellow"]])


arr = arr.reshape(-1,1)
zero_arr = np.zeros((len(arr), 1))
arr = np.column_stack((arr, zero_arr))
combine = np.vstack((arr2, arr))
sort = combine[combine[:,0].argsort()]
#Where the first array printed is sort

我可以通过添加

x=sort[：-1][sort[1::][1::][sort[：-1]]]

获得我想要保留的行

['Aaple''香蕉''梨']

，接下来的步骤是什么？

它可能更容易使用：

结果:

array([['Aaple', 'Red'],
       ['Aaple', '0.0'],
       ['Banana', 'Yellow'],
       ['Banana', '0.0'],
       ['Pear', 'Yellow'],
       ['Pear', '0.0']], dtype=object)

---

我试图在Numpy中完成这一切，我有一个很大的数据集，使用熊猫需要花费太长时间，使用Numpy不可能吗@stef@AndrewHorowitz由于pandas在引擎盖下使用numpy，因此可能在纯numpy中进行此操作，但我认为它不会比pandas快太多，因为这里涉及的操作是在numpy阵列上进行的（可能我错了）