我有一个名为x的数组数组，我试图对它进行ravel，但结果是一样的x。它没有使任何东西变平。我也尝试过函数flatn((。有人能解释一下为什么会发生这种事吗？
x = np.array([np.array(['0 <= ... < 200 DM', '< 0 DM', 'no checking account'], dtype=object),
np.array(['critical account/ other credits existing (not at this bank)',
'existing credits paid back duly till now'], dtype=object),
np.array(['(vacation - does not exist?)', 'domestic appliances'],
dtype=object)], dtype=object)
np.ravel(x)
实际上，我正试图重现这个问题中的代码：在sklearn中对多个列进行一次热编码并命名列但是我被旅行挡住了。
感谢
In [455]: x = np.array([np.array(['0 <= ... < 200 DM', '< 0 DM', 'no checking account'], dtype=object),
...:
...: np.array(['critical account/ other credits existing (not at this bank)',
...: 'existing credits paid back duly till now'], dtype=object),
...: np.array(['(vacation - does not exist?)', 'domestic appliances'],
...: dtype=object)], dtype=object)
In [456]: x
Out[456]:
array([array(['0 <= ... < 200 DM', '< 0 DM', 'no checking account'], dtype=object),
array(['critical account/ other credits existing (not at this bank)',
'existing credits paid back duly till now'], dtype=object),
array(['(vacation - does not exist?)', 'domestic appliances'],
dtype=object)], dtype=object)
In [457]: x.shape
Out[457]: (3,)
In [458]: [i.shape for i in x]
Out[458]: [(3,), (2,), (2,)]
CCD_ 1是具有3个元素的1d阵列。这些元素本身就是阵列，具有不同的形状。
一种使其变平的方法是：
In [459]: np.hstack(x)
Out[459]:
array(['0 <= ... < 200 DM', '< 0 DM', 'no checking account',
'critical account/ other credits existing (not at this bank)',
'existing credits paid back duly till now',
'(vacation - does not exist?)', 'domestic appliances'],
dtype=object)
In [460]: _.shape
Out[460]: (7,)