包裹在python numpy的阵列 [英] wrapping a numpy array in python

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本文介绍了包裹在python numpy的阵列的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我使用在python numpy的阵列,我试图更好地观察他们看什么,我有工作。有没有一种方法,当阵列换到下一行改变?
例如,在终端窗口,我有足够的列0-49展示在同一行,但是当我转换为数组数据类型,它会自动给我换行。

 >>> tmp.shape
(2,50)
>>>打印TMP
[0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
  24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47
  48 49]
 [50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73
  74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97
  98 99]
>>>


解决方案

<一个href=\"http://docs.scipy.org/doc/numpy/reference/generated/numpy.set_printoptions.html\">http://docs.scipy.org/doc/numpy/reference/generated/numpy.set_printoptions.html

numpy的默认打印显示阵列时,只有75个字符。您可以通过使用numpy.set_printoptions改变这种()

有关如。我把我的终端显示132x43和得到这个:

 &GT;&GT;&GT;导入numpy的是NP
&GT;&GT;&GT; np.set_printoptions(线宽= 132)
&GT;&GT;&GT;一个= np.arange(100).reshape(2,50)
&GT;&GT;&GT;一个
阵列([0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22, 23,24,25,26,27,28,29,30,
    31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49]
   [50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74 ,75,76,77,78,79,80,
    81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99]])

I'm using numpy arrays in python and am trying to better visualize them to see what I am working with. Is there a way to change when the array wraps to the next line? For instance, in the terminal window I have enough columns to show 0-49 on one line, but it automatically wraps on me when I convert to an array data type.

>>> tmp.shape
(2, 50)
>>> print tmp
[[ 0  1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
  24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47
  48 49]
 [50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73
  74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97
  98 99]]
>>> 

解决方案

http://docs.scipy.org/doc/numpy/reference/generated/numpy.set_printoptions.html

Numpy by default prints only 75 characters when displaying arrays. You can change this by using numpy.set_printoptions()

For eg. I set my terminal to display 132x43 and got this:

>>> import numpy as np
>>> np.set_printoptions(linewidth=132)
>>> a = np.arange(100).reshape(2,50)
>>> a
array([[ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17, 18,       19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30,
    31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49],
   [50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80,
    81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99]])

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