apply fails when some data is None

[mirage007]

In [91]: from pandas import DataFrame

In [92]: a = DataFrame([1,2, None, 3, 4])

In [93]: a
Out[93]:
0
0 1
1 2
2 None
3 3
4 4

In [94]: a.apply(lambda x: str(x[0]), axis=1)
Out[94]:
0 1
1 2
2 None
3 3
4 4

In [95]: a.apply(lambda x: int(x[0]), axis=1)
Out[95]:
0 1
1 2
2 NaN
3 NaN
4 NaN

---

I was expecting elements 3 and 4 to still evaluate properly in this case to something like this:

0 1
1 2
2 NaN
3 3
4 4

i am using windows xp 32 bit with pandas 0.7.1 on python 2.7.2

[wesm]

You spotted a bug that I fixed earlier today. This should have raised an exception:

In [4]: a.apply(lambda x: int(x[0]), axis=1)
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
/home/wesm/code/pandas/<ipython-input-4-77655858a2f4> in <module>()
----> 1 a.apply(lambda x: int(x[0]), axis=1)

/home/wesm/code/pandas/pandas/core/frame.pyc in apply(self, func, axis, broadcast, raw, args, **kwds)
   3346                     return self._apply_raw(f, axis)
   3347                 else:
-> 3348                     return self._apply_standard(f, axis)
   3349             else:
   3350                 return self._apply_broadcast(f, axis)

/home/wesm/code/pandas/pandas/core/frame.pyc in _apply_standard(self, func, axis, ignore_failures)
   3401             try:
   3402                 for k, v in series_gen:
-> 3403                     results[k] = func(v)
   3404             except Exception, e:
   3405                 try:

/home/wesm/code/pandas/<ipython-input-4-77655858a2f4> in <lambda>(x)
----> 1 a.apply(lambda x: int(x[0]), axis=1)

TypeError: ("int() argument must be a string or a number, not 'NoneType'", 'occurred at index 2')

I'm unsure about propagating NAs silently. Going to table it for future work