import numpy as np df = spark.createDataFrame( [(1, 1, None), (1, 2, float(5)), (1, 3, np.nan), (1, 4, None), (1, 5, float(10)), (1, 6, float('nan')), (1,
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,...