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BUG: inconsistent replace #36444

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Sep 26, 2020
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3 changes: 2 additions & 1 deletion pandas/core/internals/blocks.py
Original file line number Diff line number Diff line change
Expand Up @@ -36,6 +36,7 @@
is_datetime64tz_dtype,
is_dtype_equal,
is_extension_array_dtype,
is_float,
is_float_dtype,
is_integer,
is_integer_dtype,
Expand Down Expand Up @@ -2066,7 +2067,7 @@ def _can_hold_element(self, element: Any) -> bool:
and not issubclass(tipo.type, (np.datetime64, np.timedelta64))
and self.dtype.itemsize >= tipo.itemsize
)
return is_integer(element)
return is_integer(element) or (is_float(element) and element.is_integer())
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@jbrockmendel are you sure you think the patch should be here; this is hit by a lot of paths where this doesn't make any sense. we almost always want to take some sort of action based on return value here if it fails. e.g. why is this not more specific to replace?

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Also is this simply wrong:

[ins] In [3]: is_integer(1.0)
Out[3]: False

especially since

[ins] In [4]: 1.0.is_integer()
Out[4]: True

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ahh its doing an equality check under the hood, we are not

n [60]: 1.0.is_integer()                                                                                                                                  
Out[60]: True

In [61]: 1.1.is_integer()                                                                                                                                  
Out[61]: False

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maybe could replace this entirely with element.is_integer() and call it a day

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though my concern is still that the purpose of this check is can we hold an integer, not are we a float and can be treated as an integer. though practically it may not make a difference.

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So I don't realy understand ...
Need I replace return is_integer(element) into return element.is_integer().
If I do that, need I try except the AttributeError and return None ?

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Or False ?

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Longer-term we're going to have to look more carefully about can_hold_element and what we want it to mean. In the short run, for this check to be consistent with the tipo check above it should exclude floats

(so my previous suggestion may have been unhelpful, sorry)

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ok this is fine @QuentinN42 if you can add a comment here would be good



class DatetimeLikeBlockMixin:
Expand Down