Python Polars LazyFrame在收集后未返回指定的模式顺序

我有一个函数，它在循环中运行，对数组列表执行计算.

在函数第一次迭代期间的某个时刻，初始化Polars Lazyframe.

在接下来的迭代中，使用相同的模式指定一个新的收件箱，并使用pi.vstack将两个收件箱逐行连接，然后再次指定为lazyframe.

import numpy as np
import polars as pl



def my_func():

  array_list = [np.zeros((1,19))]*2 #this is just for example and not representative of shape of real array.


  for i, _ in enumerate(array_list):

      #calculations are done here


      result = np.zeros((1,19)) #result of calculations (correct shape of real result)

      if i < 1:
          result_df = pl.DataFrame(data = result,
                       schema = {
                              'MDL',
                              'MVL',
                              'MWVL',
                              'RR',
                              'DET',
                              'ADL',
                              'LDL',
                              'DIV',
                              'EDL',
                              'LAM',
                              'TT',
                              'LVL',
                              'EVL',
                              'AWVL',
                              'LWVL',
                              'LWVLI',
                              'EWVL',
                              'Ratio_DRR',
                              'Ratio_LD'},
                        orient='row').lazy()

       else:

          new_df = pl.DataFrame(data=data,
                              schema = {
                                  'MDL',
                                  'MVL',
                                  'MWVL',
                                  'RR',
                                  'DET',
                                  'ADL',
                                  'LDL',
                                  'DIV',
                                  'EDL',
                                  'LAM',
                                  'TT',
                                  'LVL',
                                  'EVL',
                                  'AWVL',
                                  'LWVL',
                                  'LWVLI',
                                  'EWVL',
                                  'Ratio_DRR',
                                  'Ratio_LD'
                                  },
                                  orient='row')

          #append new dataframe to results
          result_df = result_df.collect().vstack(new_df, in_place=True).lazy()


return result_df
                

当在函数外部返回收件箱时，列名不再按顺序排列，但数据按顺序排列.

例如

result.schema

OrderedDict([('LAM', Float64),
             ('LDL', Float64),
             ('ADL', Float64),
             ('DIV', Float64),
             ('MDL', Float64),
             ('MWVL', Float64),
             ('LWVL', Float64),
             ('MVL', Float64),
             ('TT', Float64),
             ('DET', Float64),
             ('RR', Float64),
             ('EDL', Float64),
             ('Ratio_LD', Float64),
             ('Ratio_DRR', Float64),
             ('LVL', Float64),
             ('LWVLI', Float64),
             ('EWVL', Float64),
             ('EVL', Float64),
             ('AWVL', Float64)])

我想这是由于我对Lazyframes如何工作的天真，但是有没有一种方法可以在不重命名列的情况下强制执行顺序呢？

谢谢.