从python数组中选择行

时间:2015-05-27 22:16:45

标签: python arrays numpy multidimensional-array

我有两个数组。让我们说它们看起来像这样:

    time1 = [ 1 2 3 ] and time2 = [ 2 4 6]
            [ 4 5 6 ]         
            [ 7 8 9 ]         

我想只选择time1中第一列在time2范围内的行。例如,从这个数据集中,我会绘制[4 5 6]行,因为4在2-6的范围内。我试图从数组time1中选择行,如下所示:

selectedtimes = time1(any(time1[:,0] < time2[-1]) and any(time1[:,0] > time2[0]))

我目前正在接收不可调用的对象错误(如下所示),并且我很困惑。有没有更好的方法来重写这一行?

'numpy.ndarray' object is not callable

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2 个答案:

答案 0 :(得分:3)

您可以在此处使用numpy.logical_and

>>> np.logical_and(time1[:,0] > time2[0], time1[:,0] < time2[-1] )
array([False,  True, False], dtype=bool)
>>> time1[np.logical_and(time1[:,0] > time2[0], time1[:,0] < time2[-1] )]
array([[4, 5, 6]])

答案 1 :(得分:0)

使用forif

>>> time1 = ((1,2,3),(4,5,6),(7,8,9))
>>> time2 = (2,4,6)
>>> for x in time1:
...  if x[0] in time2:
...   print x
... 
(4, 5, 6)
>>>