用np.nan替换空值

Question

I have a dataframe which has NaN values which when I assess with my code turn out to be 'null' values and are not np.nan values. Is there some code where I can replace these 'null NaN' values with np.nan?

df_select = df_select[['RoundDown','RoundUp']]
df_select

nullrows = df_select.isnull()
nullrows

Thanks a lot in advance.

Answer 1

Your data frame is just construct well , when you try .isnull if it is true mean that cell is np.nan but also need to point it out

np.nan==np.nan
Out[178]: False