如何仅在Python 3中打印Numpy 2D数组

Question

我是python3。

的新手

我的代码正在遵循，我不知道如何解决此问题。

test = np.random.randn(10)
print (test)
TypeError: '>' not supported between instances of 'int' and 'str'

( (我已经导入numpy，并且详细的错误msg正在遵循。

    TypeError                            Traceback (most recent call last)
<ipython-input-13-3e506a0fbc4a> in <module>()
      1 test=np.random.randn(10)
----> 2 print(test)
/usr/local/lib/python3.6/site-packages/numpy/core/numeric.py in array_str(a, max_line_width, precision, suppress_small)
   1937 
   1938     """
-> 1939     return array2string(a, max_line_width, precision, suppress_small, ' ', "", str)
   1940 
   1941 
/usr/local/lib/python3.6/site-packages/numpy/core/arrayprint.py in wrapper(self, *args, **kwargs)
    386             repr_running.add(key)
    387             try:
--> 388                 return f(self, *args, **kwargs)
    389             finally:
    390                 repr_running.discard(key)
/usr/local/lib/python3.6/site-packages/numpy/core/arrayprint.py in array2string(a, max_line_width, precision, suppress_small, separator, prefix, style, formatter)
    521     else:
    522         lst = _array2string(a, max_line_width, precision, suppress_small,
--> 523                             separator, prefix, formatter=formatter)
    524     return lst
    525 
/usr/local/lib/python3.6/site-packages/numpy/core/arrayprint.py in _array2string(a, max_line_width, precision, suppress_small, separator, prefix, formatter)
    344                   prefix="", formatter=None):
    345 
--> 346     if a.size > _summaryThreshold:
    347         summary_insert = "..., "
    348         data = _leading_trailing(a)
TypeError: '>' not supported between instances of 'int' and 'str'

Answer 1

在python3中，在比较元素时决定更严格。因此，" int"one_answers" str"之间的比较会引起错误(此错误很难复制(。有很多方法可以解决此问题，我使用的一个选项是Numpy中的.tolist()方法。

import numpy as np
test = np.random.randn(10)
print(test.tolist())

Answer 2

看起来您还没有包含import函数。

尝试一下：

import numpy as np
test = np.random.randn(10)
print (test)

希望它有效：(

Answer 3

更改打印选项将使此数组走开。numpy中的默认阈值设置。

np.set_printoptions(threshold=5)