瞧，为什么您这样做的方式行不通。首先，您尝试从行类型获取整数，collect的输出如下所示：
>>> mvv_list = mvv_count_df.select('mvv').collect()
>>> mvv_list[0]
Out: Row(mvv=1)
如果您采取这样的做法：
>>> firstvalue = mvv_list[0].mvv
Out: 1
您将获得mvv价值。如果您需要数组的所有信息，则可以采取以下方法：
>>> mvv_array = [int(row.mvv) for row in mvv_list.collect()]
>>> mvv_array
Out: [1,2,3,4]
但是，如果对另一列尝试相同的操作，则会得到：
>>> mvv_count = [int(row.count) for row in mvv_list.collect()]
Out: TypeError: int() argument must be a string or a number, not 'builtin_function_or_method'
发生这种情况是因为它count是一种内置方法。并且该列的名称与相同count。一种解决方法是将列名称更改count为_count：
>>> mvv_list = mvv_list.selectExpr("mvv as mvv", "count as _count")
>>> mvv_count = [int(row._count) for row in mvv_list.collect()]
但是不需要此解决方法，因为您可以使用字典语法访问列：
>>> mvv_array = [int(row['mvv']) for row in mvv_list.collect()]
>>> mvv_count = [int(row['count']) for row in mvv_list.collect()]
它将最终成功！
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