pd.cut函数是创建bins的主要方法之一: importpandasaspdimportnumpyasnp# 创建示例数据np.random.seed(0)data={'score':np.random.randint(0,101,1000)}df=pd.DataFrame(data)# 使用cut函数创建分数区间df['grade']=pd.cut(df['score'],bins=[0,60,70,80,90,100],labels=['F','D','C','B','A'...
When using groupby_bins there are cases where no values are found for some of the bins specified. Currently, it appears that in these cases, the bin is skipped, with no value neither a bin entry added to the output dataarray. Is there a way to identify which bins have been skipped. O...
上述步骤通常会产生很大的nc文件(>10G)，尤其是在处理大量数据时。最近在处理卫星数据时，最终生成的文件...