我正在使用numpy array
,如下所示:
input_series = ['BUY' 'SELL' 'BUY' 'SELL' 'BUY' 'SELL' 'SELL' 'SELL' 'BUY' 'SELL' nan nan
nan nan nan nan nan nan nan]
我在数组中搜索特定值,如果元素存在则删除
我这样做了如下:
delete_indices = list()
val = ['BUY','SELL','No','YES']
found_index = np.where(lowercase_series_nparray == val)
delete_indices.append(found_index)
delete_indices
如下:
[(array([], dtype=int64),), (array([], dtype=int64),), (array([], dtype=int64),), (array([], dtype=int64),), (array([], dtype=int64),), (array([], dtype=int64),), (array([], dtype=int64),), (array([], dtype=int64),), (array([], dtype=int64),), (array([], dtype=int64),), (array([], dtype=int64),), (array([], dtype=int64),), (array([], dtype=int64),), (array([], dtype=int64),), (array([], dtype=int64),), (array([0, 2, 4, 8], dtype=int64),), (array([1, 3, 5, 6, 7, 9], dtype=int64),), (array([], dtype=int64),), (array([], dtype=int64),), (array([], dtype=int64),)]
Aftre我试图删除:
new_output_series = numpy.delete(input_series, delete_indices)
但错误为setting an array element with a sequence.
答案 0 :(得分:4)
如果来自这样的数组:
input_series = np.array(['BUY', 'a', 'b', 'SELL', 'YES', 'SELL', 'No', 'c', 'd', 'SELL'])
您想删除这些元素:
['BUY','SELL','No','YES']
只需将它们设置为数组:
val = np.array(['BUY','SELL','No','YES'])
然后:
new_output_series = np.setdiff1d(input_series,val)
输出:
['a' 'b' 'c' 'd']
答案 1 :(得分:1)
下面的语句为您提供了所需的索引:
found_index = np.in1d(input_series, val).nonzero()[0]
然后:
new_array = numpy.delete(input_series, found_index)