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    질문 & 답변
  • 세부 분야

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  • 해결 여부

    미해결

설치 및 실행에 대한 질문입니다.

21.03.20 00:56 작성 조회수 525

1

안녕하세요 선생님 판다스 실행과 관련하여 질문드립니다.

import pandas as pd

df = pd.DataFrame(

{"a" : [4 ,5, 6],

"b" : [7, 8, 9],

"c" : [10, 11, 12]},

index = [1, 2, 3])

print(df)

이렇게 입력하였을 때 출력은 되는데 이외에도 이상한 항목들이 같이 뜨네요. 해결책 부탁드립니다. 아톰입니다!

감사합니다

C:\Users\python\AppData\Local\Programs\Python\Python39-32\lib\site-packages\numpy\core\getlimits.py:172: RuntimeWarning: divide by zero encountered in exp2
  eps=exp2(ld(-112)),
C:\Users\python\AppData\Local\Programs\Python\Python39-32\lib\site-packages\numpy\core\getlimits.py:51: RuntimeWarning: divide by zero encountered in log10
  self.precision = int(-log10(self.eps))
C:\Users\python\AppData\Local\Programs\Python\Python39-32\lib\site-packages\numpy\core\getlimits.py:52: RuntimeWarning: divide by zero encountered in power
  self.resolution = float_to_float(float_conv(10) ** (-self.precision))
C:\Users\python\AppData\Local\Programs\Python\Python39-32\lib\site-packages\numpy\core\getlimits.py:184: RuntimeWarning: divide by zero encountered in exp2
  epsneg_f80 = exp2(ld(-64))
C:\Users\python\AppData\Local\Programs\Python\Python39-32\lib\site-packages\numpy\core\getlimits.py:185: RuntimeWarning: divide by zero encountered in exp2
  tiny_f80 = exp2(ld(-16382))
C:\Users\python\AppData\Local\Programs\Python\Python39-32\lib\site-packages\numpy\core\getlimits.py:199: RuntimeWarning: divide by zero encountered in exp2
  eps=exp2(ld(-63)),
C:\Users\python\AppData\Local\Programs\Python\Python39-32\lib\site-packages\numpy\core\getlimits.py:211: RuntimeWarning: divide by zero encountered in nextafter
  huge_dd = (umath.nextafter(ld(inf), ld(0))
C:\Users\python\AppData\Local\Programs\Python\Python39-32\lib\site-packages\numpy\core\getlimits.py:224: RuntimeWarning: divide by zero encountered in exp2
  eps=exp2(ld(-105)),
C:\Users\python\AppData\Local\Programs\Python\Python39-32\lib\site-packages\numpy\core\getlimits.py:225: RuntimeWarning: divide by zero encountered in exp2
  epsneg= exp2(ld(-106)),
C:\Users\python\AppData\Local\Programs\Python\Python39-32\lib\site-packages\numpy\core\getlimits.py:227: RuntimeWarning: divide by zero encountered in exp2
  tiny=exp2(ld(-1022)))
C:\Users\python\AppData\Local\Programs\Python\Python39-32\lib\site-packages\numpy\__init__.py:340: RuntimeWarning: divide by zero encountered in subtract
  if not abs(x.dot(x) - 2.0) < 1e-5:
C:\Users\python\AppData\Local\Programs\Python\Python39-32\lib\site-packages\numpy\__init__.py:340: RuntimeWarning: divide by zero encountered in absolute
  if not abs(x.dot(x) - 2.0) < 1e-5:
<frozen importlib._bootstrap>:228: RuntimeWarning: divide by zero encountered in add
1.2.2
C:\Users\python\AppData\Local\Programs\Python\Python39-32\lib\site-packages\numpy\core\_methods.py:56: RuntimeWarning: divide by zero encountered in reduce
  return umr_any(a, axis, dtype, out, keepdims)
C:\Users\python\AppData\Local\Programs\Python\Python39-32\lib\site-packages\pandas\core\internals\managers.py:246: RuntimeWarning: divide by zero encountered in equal
  if (new_blknos == -1).any():
C:\Users\python\AppData\Local\Programs\Python\Python39-32\lib\site-packages\pandas\core\strings\accessor.py:211: RuntimeWarning: divide by zero encountered in invert
  inferred_dtype = lib.infer_dtype(values, skipna=True)
C:\Users\python\AppData\Local\Programs\Python\Python39-32\lib\site-packages\numpy\core\fromnumeric.py:87: RuntimeWarning: divide by zero encountered in reduce
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
C:\Users\python\AppData\Local\Programs\Python\Python39-32\lib\site-packages\pandas\io\formats\string.py:155: RuntimeWarning: divide by zero encountered in longlong_scalars
  dif = max_len - width
C:\Users\python\AppData\Local\Programs\Python\Python39-32\lib\site-packages\pandas\io\formats\string.py:157: RuntimeWarning: divide by zero encountered in longlong_scalars
  adj_dif = dif + 1
   a  b   c
1  4  7  10
2  5  8  11
3  6  9  12

답변 1

답변을 작성해보세요.

0

안녕하세요.

아나콘다 환경이 아닌 별도의 가상환경을 설정해서 사용하시고 있는것 같아요.


최신버전의 라이브러리를 사용하다보면 버전간의 호환성 등의 문제가 생기기도 하는데요.

해당 경고 메시지를 검색해 봤더니 아직 해결되지 않은 이슈로 보여집니다.

아마도 numpy 최신버전에서 발생하는 문제인것 같아요.

[Divide by zero warning on import on Windows ARM · Issue #17747 · numpy/numpy](https://github.com/numpy/numpy/issues/17747)

불편하시겠지만 위 이슈가 해결되기 전까지 아나콘다 가상환경이나 하위버전의 numpy, pandas 를 사용하시는 것을 권장합니다.