python - better way to drop nan rows in pandas -


on own found way drop nan rows pandas dataframe. given dataframe dat column x contains nan values,is there more elegant way drop each row of dat has nan value in x column?

dat = dat[np.logical_not(np.isnan(dat.x))] dat = dat.reset_index(drop=true)

you can try this:

dat.dropna()

you pass param how drop if labels nan or of labels nan

dat.dropna(how='any')    #to drop if value in row has nan dat.dropna(how='all')    #to drop if values in row nan

hope answers question :))


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