Witrynananmean函数是一种用于计算数组中元素平均值的函数,其中nan表示“不是数字”,即在计算平均值时会忽略数组中的NaN值。. 这个函数在数据分析和统计学中非常有用,因为在实际数据中,NaN值往往是不可避免的。. nanmean函数的语法非常简单,只需要输入要 … Witrynanp.mean (Matrice [Matrice != None]) Share Improve this answer Follow answered Jun 6, 2024 at 19:30 Ishan Tomar 1,468 1 16 20 Add a comment Your Answer Post Your Answer By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy
Numba and NumPy nanmean on a 3D array - easy alternative?
WitrynaUse numpy's nansum and nanmean: from numpy import nansum from numpy import nanmean data.groupby (groupbyvars).agg ( {'amount': [ nansum, nanmean]}).reset_index () As a workaround for older version of numpy, and also a way to fix your last try: When you do pd.Series.sum (skipna=True) you actually call the … Witryna20 gru 2024 · If you have a series (or single column dataframe), the solution simplifies. You could perform boolean indexing to get rid of 0 rows and then call mean. s[s != … greenfield community college testing
python - empty - 平均、ナンメと警告:空のスライスの平均 - 入門 …
Witryna30 mar 2011 · def nanmean(data, **args): return numpy.ma.filled(numpy.ma.masked_array(data,numpy.isnan(data)).mean(**args), … Witryna8 wrz 2013 · Note that the masked array's mean does not need to be the same shape as a, because we're taking advantage of the implicit broadcasting over rows. Also note how the all-nan column is nicely handled. The mean is zero since you're taking the mean of zero elements. The method using nanmean doesn't handle all-nan columns: Witrynadef _nanmean(array, axis=None): """Bottleneck nanmean function that handle tuple axis.""" if isinstance (axis, tuple): array = _move_tuple_axes_first (array, axis=axis) axis = 0 return bottleneck. nanmean (array, axis=axis) 开发者ID:MaxNoe,项目名称:astropy,代码行数:7,代码来源: sigma_clipping.py 示例13: _align_planes 点赞 1 greenfield community school district indiana