我正在查看我问过的早期问题的答案。 numpy.unique with order preserved他们工作得很好,但举个例子,我有问题。
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']
为什么月份从2月10日开始而不是从09年8月开始?对于较小的数据集,我得到预期的行为,即从2009年8月开始的月份。我得到了2月10日对上一个问题的所有答案。
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。亲自尝试一下。
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)]
答案 0 :(得分:3)
更新
我认为问题实际上是这个。你在运行什么版本的Numpy?
http://projects.scipy.org/numpy/ticket/2063
我重现了你的问题,因为Numpy I测试的Ubuntu安装是1.6.1,并且错误修复了1.6.2及以上。
升级Numpy,然后再试一次,它在我的Ubuntu机器上为我工作。
在这些方面:
bi, idxb = np.unique(b, return_index=True)
months = bi[np.argsort(idxb)]
有两个错误:
b[...]
sort
而不是argsort
。这应该有效:
bi, idxb = np.unique(b, return_index=True)
months = b[np.sort(idxb)]
是的,使用你的数据集并运行python 2.7,Mac OS 10.6上的numpy 1.7,64位
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,我终于可以在Ubuntu 64位上重现你的问题:
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')
在Numpy升级后适用于Ubuntu:
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')