)# interpolate_na will raise an exceptionds=ds.interpolate_na(dim="y",method="nearest")# If we replace the np.nan in [1][1] with a valid value, the exception is goneds["data"][1][1]=15# Data now looks like# data = np.array([[np.nan, np.nan, np.nan, np.nan, np.nan]...
When performing interpolate_na on a DataArray the attributes are removed. Unless I am doing something incorrect. MCVE Code Sample print(dhi_da) dhi_ds = dhi_ds.interpolate_na(dim='time') print(dhi_da) Output first print statement <xarray...
Interpolate missing valuesDaniel KofflerGregor Laaha
语法\用法: lfnainterpolate(lfobj) 参数说明: lfobj :“lfobj”类的对象 示例\实例: data(ngaruroro)#Part of the ngaruroro series with missing datahydrograph(ngaruroro,startdate = "1/7/1987", enddate = "1/9/1987",amin = FALSE)ngaruroroint < - lfnainterpolate(ngaruroro)#The complet...
need at least two non-NA values to interpolate 什么是nomogram,R代码就不写了～ 直接来到这个报错点: 在删除数据框中所有含缺失值的情况下,主要问题在于:“ function(x)surv(1*12,lp=x)”这段代码中的1*12出现了问题。假如你的数据都没有达到1*12或者都超过了1*12,那就会出错,也就没有预测价值。。