<分区>
给定一个 pandas 数据框，我想根据其中一列排除与异常值(Z 值 = 3)对应的行。
数据框看起来像这样:
df.dtypes
_id object
_index object
_score object
_source.address object
_source.district object
_source.price float64
_source.roomCount float64
_source.size float64
_type object
sort object
priceSquareMeter float64
dtype: object
对于行:
dff=df[(np.abs(stats.zscore(df)) < 3).all(axis='_source.price')]
引发了以下异常:
-------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-68-02fb15620e33> in <module>()
----> 1 dff=df[(np.abs(stats.zscore(df)) < 3).all(axis='_source.price')]
/opt/anaconda3/lib/python3.6/site-packages/scipy/stats/stats.py in zscore(a, axis, ddof)
2239 """
2240 a = np.asanyarray(a)
-> 2241 mns = a.mean(axis=axis)
2242 sstd = a.std(axis=axis, ddof=ddof)
2243 if axis and mns.ndim < a.ndim:
/opt/anaconda3/lib/python3.6/site-packages/numpy/core/_methods.py in _mean(a, axis, dtype, out, keepdims)
68 is_float16_result = True
69
---> 70 ret = umr_sum(arr, axis, dtype, out, keepdims)
71 if isinstance(ret, mu.ndarray):
72 ret = um.true_divide(
TypeError: unsupported operand type(s) for +: 'NoneType' and 'NoneType'
以及返回值
np.isreal(df['_source.price']).all()
是
True
为什么会出现上述异常，如何排除异常值？
