numpy排序奇怪的行为 [英] numpy sort wierd behavior

问题描述

我正在寻找我之前提出的问题的答案. 保留订单的numpy.unique 效果很好，但举一个例子，我遇到了问题

I'm looking at the answers to an earlier question I asked. numpy.unique with order preserved They work great, but with one example, I have problems.

b
['Aug-09' 'Aug-09' 'Aug-09' ..., 'Jan-13' 'Jan-13' 'Jan-13']
b.shape
(83761,)
b.dtype
|S6
bi, idxb = np.unique(b, return_index=True)
months = bi[np.argsort(idxb)]
months
ndarray: ['Feb-10' 'Aug-10' 'Nov-10' 'Oct-12' 'Oct-11' 'Jul-10' 'Feb-12' 'Sep-11'\n  'Jan-10' 'Apr-10' 'May-10' 'Sep-09' 'Mar-11' 'Jun-12' 'Jul-12' 'Dec-09'\n 'Aug-09' 'Nov-12' 'Dec-12' 'Apr-12' 'Jun-11' 'Jan-11' 'Jul-11' 'Sep-10'\n 'Jan-12' 'Dec-10' 'Oct-09' 'Nov-11' 'Oct-10' 'Mar-12' 'Jan-13' 'Nov-09'\n 'May-11' 'Mar-10' 'Jun-10' 'Dec-11' 'May-12' 'Feb-11' 'Aug-11' 'Sep-12'\n 'Apr-11' 'Aug-12']

为什么几个月从2月10日开始而不是9月9日开始?使用较小的数据集，我得到了预期的行为，即，几个月从09年8月开始.我会在10年2月得到关于上一个问题的所有答案.

Why does months start with Feb-10 instead of Aug-09? With smaller datasets I get the expected behavior, i.e. months starts with Aug-09. I get Feb-10 with all answers to the previous question.

这有效

months = []
for bi in b:
    if bi not in months:
        months.append(bi) 

---

http://www.uploadmb.com/dw.php?id=1364341573 这是我的数据集.自己尝试.

---

http://www.uploadmb.com/dw.php?id=1364341573 Here is my dataset. Try it yourself.

import numpy as np
f=open('test.txt','r')
res = []
for line in f.readlines():
   res.append(line.strip())

a = np.array(res)
_, idx = np.unique(a, return_index=True)
print a[np.sort(idx)]

推荐答案

更新:

我相信问题实际上是此.您正在运行什么版本的Numpy?

I believe the problem is actually this. What version of Numpy are you running?

http://projects.scipy.org/numpy/ticket/2063

我重现了您的问题，因为在我测试过的Ubuntu上安装的Numpy安装为1.6.1，并且该错误已修复为1.6.2及更高版本.

I reproduced your problem because the Ubuntu installation of Numpy I tested on was 1.6.1, and the bug was fixed at 1.6.2 and above.

升级Numpy，然后重试，它在我的Ubuntu机器上对我有用.

Upgrade Numpy, and try again, it worked for me on my Ubuntu machine.

在这些行中:

bi, idxb = np.unique(b, return_index=True)
months = bi[np.argsort(idxb)]

有两个错误:

1. 您想在原始数组b[...]
上实际使用排序后的索引
2. 您需要排序的索引，而不是对索引进行排序的索引，因此请使用sort而不是argsort.

1. You want to actually use the sorted indices on the original array, b[...]
2. You want the sorted indices, not the indices that sort the indices, so use sort not argsort.

这应该有效:

bi, idxb = np.unique(b, return_index=True)
months = b[np.sort(idxb)]

---

是的，使用您的数据集并在Mac OS 10.6(64位)上运行python 2.7，numpy 1.7，确实如此

---

Yes, it does, using your data set and running python 2.7, numpy 1.7 on Mac OS 10.6, 64 bit

Python 2.7.3 (default, Oct 23 2012, 13:06:50) 

IPython 0.13.1 -- An enhanced Interactive Python.

In [1]: import numpy as np

In [2]: np.__version__
Out[2]: '1.7.0'

In [3]: from platform import architecture

In [4]: architecture()
Out[4]: ('64bit', '')

In [5]: f = open('test.txt','r')

In [6]: lines = np.array([line.strip() for line in f.readlines()])

In [7]: _, ilines = np.unique(lines, return_index = True)

In [8]: months = lines[np.sort(ilines)]

In [9]: months
Out[9]: 
array(['Aug-09', 'Sep-09', 'Oct-09', 'Nov-09', 'Dec-09', 'Jan-10',
       'Feb-10', 'Mar-10', 'Apr-10', 'May-10', 'Jun-10', 'Jul-10',
       'Aug-10', 'Sep-10', 'Oct-10', 'Nov-10', 'Dec-10', 'Jan-11',
       'Feb-11', 'Mar-11', 'Apr-11', 'May-11', 'Jun-11', 'Jul-11',
       'Aug-11', 'Sep-11', 'Oct-11', 'Nov-11', 'Dec-11', 'Jan-12',
       'Feb-12', 'Mar-12', 'Apr-12', 'May-12', 'Jun-12', 'Jul-12',
       'Aug-12', 'Sep-12', 'Oct-12', 'Nov-12', 'Dec-12', 'Jan-13'], 
      dtype='|S6')

---

好的，我最终也可以在Ubuntu 64位上重现您的问题:

---

OK, I can finally reproduce your problem on Ubuntu 64 bit too:

Python 2.7.3 (default, Aug  1 2012, 05:14:39) 

IPython 0.12.1 -- An enhanced Interactive Python.

In [1]: import numpy as np

In [2]: np.__version__
Out[2]: '1.6.1'

In [3]: from platform import architecture

In [4]: architecture()
Out[4]: ('64bit', 'ELF')

In [5]: f = open('test.txt','r')

In [6]: lines = np.array([line.strip() for line in f.readlines()])

In [7]: _, ilines = np.unique(lines, return_index=True)

In [8]: months = lines[np.sort(ilines)]

In [9]: months
Out[9]: 
array(['Feb-10', 'Aug-10', 'Nov-10', 'Oct-12', 'Oct-11', 'Jul-10',
       'Feb-12', 'Sep-11', 'Jan-10', 'Apr-10', 'May-10', 'Sep-09',
       'Mar-11', 'Jun-12', 'Jul-12', 'Dec-09', 'Aug-09', 'Nov-12',
       'Dec-12', 'Apr-12', 'Jun-11', 'Jan-11', 'Jul-11', 'Sep-10',
       'Jan-12', 'Dec-10', 'Oct-09', 'Nov-11', 'Oct-10', 'Mar-12',
       'Jan-13', 'Nov-09', 'May-11', 'Mar-10', 'Jun-10', 'Dec-11',
       'May-12', 'Feb-11', 'Aug-11', 'Sep-12', 'Apr-11', 'Aug-12'], 
      dtype='|S6')

---

Numpy升级后可在Ubuntu上运行:

---

Works on Ubuntu after Numpy upgrade:

Python 2.7.3 (default, Aug  1 2012, 05:14:39) 

IPython 0.12.1 -- An enhanced Interactive Python.

In [1]: import numpy as np

In [2]: np.__version__
Out[2]: '1.7.0'

In [3]: f = open('test.txt','r')

In [4]: lines = np.array([line.strip() for line in f.readlines()])

In [5]: _, ilines = np.unique(lines, return_index=True)

In [6]: months = lines[np.sort(ilines)]

In [7]: months
Out[7]: 
array(['Aug-09', 'Sep-09', 'Oct-09', 'Nov-09', 'Dec-09', 'Jan-10',
       'Feb-10', 'Mar-10', 'Apr-10', 'May-10', 'Jun-10', 'Jul-10',
       'Aug-10', 'Sep-10', 'Oct-10', 'Nov-10', 'Dec-10', 'Jan-11',
       'Feb-11', 'Mar-11', 'Apr-11', 'May-11', 'Jun-11', 'Jul-11',
       'Aug-11', 'Sep-11', 'Oct-11', 'Nov-11', 'Dec-11', 'Jan-12',
       'Feb-12', 'Mar-12', 'Apr-12', 'May-12', 'Jun-12', 'Jul-12',
       'Aug-12', 'Sep-12', 'Oct-12', 'Nov-12', 'Dec-12', 'Jan-13'], 
      dtype='|S6')

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