Python Numba - преобразовать объект серии DataFrame в массив numpy - PullRequest
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Python Numba - преобразовать объект серии DataFrame в массив numpy

0 голосов
/ 14 апреля 2020

У меня есть pandas кадр данных со строками. Я пытаюсь использовать операцию set, используя python numba, чтобы получить уникальные символы в столбце, который содержит строки в кадре данных. Поскольку numba не распознает pandas фреймов данных, мне нужно преобразовать строковый столбец в массив numpy. Однако после преобразования столбец показывает dtype как object. Есть ли способ, которым я мог бы преобразовать pandas dataframe (столбец строк) в обычный массив (не массив объектов)

Пожалуйста, найдите код для вашего понимания. 

z = train.head(2).sentence.values #Train is a pandas DataFrame
z

Вывод: 

array(["Explanation\nWhy the edits made under my username Hardcore Metallica Fan were reverted? They weren't vandalisms, just closure on some GAs after I voted at New York Dolls FAC. And please don't remove the template from the talk page since I'm retired now.89.205.38.27",
       "D'aww! He matches this background colour I'm seemingly stuck with. Thanks.  (talk) 21:51, January 11, 2016 (UTC)"],
      dtype=object)

Python Код Numba: 

@njit
def set_(z):
    x = set(z.sum())
    return x

set_(z)

Вывод: 

---------------------------------------------------------------------------
TypingError                               Traceback (most recent call last)
<ipython-input-51-9d5bc17d106b> in <module>()
----> 1 set_(z)

~/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/numba/dispatcher.py in _compile_for_args(self, *args, **kws)
    342                 raise e
    343             else:
--> 344                 reraise(type(e), e, None)
    345         except errors.UnsupportedError as e:
    346             # Something unsupported is present in the user code, add help info

~/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/numba/six.py in reraise(tp, value, tb)
    656             value = tp()
    657         if value.__traceback__ is not tb:
--> 658             raise value.with_traceback(tb)
    659         raise value
    660 

TypingError: Failed at nopython (nopython frontend)
Internal error at <numba.typeinfer.ArgConstraint object at 0x7fbe66c01a58>:
--%<----------------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/ec2-user/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/numba/errors.py", line 491, in new_error_context
    yield
  File "/home/ec2-user/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/numba/typeinfer.py", line 194, in __call__
    assert ty.is_precise()
AssertionError

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/ec2-user/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/numba/typeinfer.py", line 138, in propagate
    constraint(typeinfer)
  File "/home/ec2-user/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/numba/typeinfer.py", line 195, in __call__
    typeinfer.add_type(self.dst, ty, loc=self.loc)
  File "/home/ec2-user/anaconda3/envs/tensorflow_p36/lib/python3.6/contextlib.py", line 99, in __exit__
    self.gen.throw(type, value, traceback)
  File "/home/ec2-user/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/numba/errors.py", line 499, in new_error_context
    six.reraise(type(newerr), newerr, tb)
  File "/home/ec2-user/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/numba/six.py", line 659, in reraise
    raise value
numba.errors.InternalError: 
[1] During: typing of argument at <ipython-input-50-566e4e12481d> (3)
--%<----------------------------------------------------------------------------


File "<ipython-input-50-566e4e12481d>", line 3:
def set_(z):
    x = set(z.sum())
    ^

This error may have been caused by the following argument(s):
- argument 0: Unsupported array dtype: object

This is not usually a problem with Numba itself but instead often caused by
the use of unsupported features or an issue in resolving types.

To see Python/NumPy features supported by the latest release of Numba visit:
http://numba.pydata.org/numba-doc/dev/reference/pysupported.html
and
http://numba.pydata.org/numba-doc/dev/reference/numpysupported.html

For more information about typing errors and how to debug them visit:
http://numba.pydata.org/numba-doc/latest/user/troubleshoot.html#my-code-doesn-t-compile

If you think your code should work with Numba, please report the error message
and traceback, along with a minimal reproducer at:
https://github.com/numba/numba/issues/new

Может ли кто-нибудь помочь мне в этом отношении.

Спасибо и наилучшими пожеланиями

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