I have picked up a strange limit to np.in1d():
----------
b
Out[100]:
array(['2007-01-01T02:30:00+0200', '2007-01-01T03:00:00+0200',
'2007-01-01T03:30:00+0200', ..., '2008-01-01T01:00:00+0200',
'2008-01-01T01:30:00+0200', '2008-01-01T02:00:00+0200'],
dtype='datetime64[s]')
b.shape
Out[101]: (17520,)
a = b[0:42]
np.in1d(b,a)
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
/home/grove/<ipython-input-103-a7d9d12b1353> in <module>()
----> 1 np.in1d(b,a)
/usr/local/lib/python2.6/dist-packages/numpy/lib/arraysetops.pyc in in1d(ar1,
ar2, assume_unique)
338 # here. The values from the first array should always come before
339 # the values from the second array.
--> 340 order = ar.argsort(kind='mergesort')
341 sar = ar[order]
342 equal_adj = (sar[1:] == sar[:-1])
TypeError: requested sort not available for type
But this works:
a = b[0:41]
np.in1d(b,a)
Out[105]: array([ True, True, True, ..., False, False, False], dtype=bool)
---------
In other words the limit seems to be 41 elements for a. Is this a bug or am I
getting something wrong?
Grové
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