具有非数值数据的pandas数据框列在重新采样时被删除

Question

我有一个带有float和object数据类型的pandas dataframe 。 resample之前...

Blended O2 (PPM)                int64
Eng Oil P (PSIG)              float64
Reactor T OUT1 (F)            float64
Reactor T OUT2 (F)            float64
Tank P (Oz/in^2)              float64
Stg1 Scrb P (PSIA)            float64
Active SD                      object
delta                 timedelta64[ns]
dtype: object

resample ...

Blended O2 (PPM)      float64
Eng Oil P (PSIG)      float64
Reactor T OUT1 (F)    float64
Reactor T OUT2 (F)    float64
Tank P (Oz/in^2)      float64
Stg1 Scrb P (PSIA)    float64
dtype: object

当我resample数据时， object和timedelta64[ns]列将被删除。

有没有解决的办法？

Answer 1

找到了。 您必须指定how='first'否则默认为非数值数据无法完成的mean

df = df.resample('1Min',fill_method='ffill', how='first', limit=5)