我试图根据其值对字典键进行排序。所以我使用了numpy的argsort
来按升序对值进行排序。但是当我尝试根据值索引对键进行排序时,我得到错误:
IndexError:数组索引太多
我在这里做错了什么?
import numpy as np
## Map occurences of colours in image
colour_map = {}
#...
colour_map['#fff'] = 15
colour_map['#ccc'] = 99
#...
## Sort colour map from most frequent to least
colours = np.array(colour_map.keys()) # dict_keys(['#fff', '#ccc'])
col_frequencies = np.array(colour_map.values()) # dict_values([15, 99])
indicies = col_frequencies.argsort()
# Error on below line "IndexError: too many indices for array"
colours = colours[indicies[::-1]]
答案 0 :(得分:1)
在Python 3中,
dir(np.array(colour_map.keys()))
表明此类不符合array_like
https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.array.html
numpy.array
要求
array_like
np.array
的定义
array_like
似乎没有检查my_object
是否满足,并且很乐意从一个不满足它的对象构造一个Numpy数组。
然后,当您尝试索引它时,索引不起作用。
以下是array_like
设计为class my_object():
def greet(self):
print("hi!")
a = my_object()
a.greet()
print(dir(a)) # no __array__ attribute
b = np.array(a)
b[0]
的示例。
hi!
['__class__', '__delattr__', '__dict__', '__dir__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__gt__', '__hash__', '__init__', '__le__', '__lt__', '__module__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__sizeof__', '__str__', '__subclasshook__', '__weakref__', 'greet']
Traceback (most recent call last):
File "C:/path/to/my/script.py",
line 35, in <module>
b[0]
IndexError: too many indices for array
结果
class my_object():
def greet(self):
print("hi!")
def __array__(self):
return np.array([self])
a = my_object()
b = np.array(a)
b[0].greet() # Now we can index b successfully
现在让我们尝试使它像数组一样(或至少足够像数组一样):
hi!
结果:
Row: User_id | Loginstatus | Timestamp
5 Attempt most recent
5 Attempt .
5 Logoff .
5 Login .
5 Attempt .
5 Attempt .
5 Attempt .
5 Attempt .
5 Logoff .
5 Login .
5 Logoff .
5 Login .