In the above example, persisting dataframe df_transformed with MEMORY_AND_DISK storage level keeps it in memory if possible but can also stored on a disk if memory is full, providing a balance between performance and reliability. Differences Between Cache and Persist Storage Options Cache:Only in...
首先,让我们创建两个DataFrames。 创建两个数据框架。 importpandasaspd# first dataframedf1=pd.DataFrame({'Age':['20','14','56','28','10'],'Weight':[59,29,73,56,48]})display(df1)# second dataframedf2=pd.DataFrame({'Age':['16','20','24','40','22'],'Weight':[55,59,73,85,...