本文共 652 字，大约阅读时间需要 2 分钟。

• Detect missing values.

  Return a boolean same-sized object indicating if the values are NA. NA values, such as None or numpy.NaN, gets mapped to True values. Everything else gets mapped to False values.

  Characters such as empty strings '' or numpy.inf are not considered NA values (unless you set pandas.options.mode.use_inf_as_na=True)

• Detect missing values. same like upon.

• isna vs. isnull

  In python, they are exactly the same thing, same docs and same code.

  The reason why have two methods withe different names do the same thing, because pandas’s DataFrame are based on R’s DataFrame, In R na and null are two seperate things. refer to 《》

• References

转载地址：http://ndge.baihongyu.com/