半年以来，我一直在研究python及其所有令人难以置信的库，如Panads Dataframes。
我正在努力在代码中实现迭代逻辑(请参阅附图(。逻辑对我来说很清楚，但不幸的是，我无法对代码片段进行编码！
我想知道是否有人在外面，谁能给我正确的提示？
提前非常感谢！
透明迭代逻辑
df1 = pd.to_datetime(['01.01.2020', '15.01.2020', '01.02.2020', '01.03.2020', '15.03.2020', '01.04.2020', '01.05.2020', '01.06.2020', '01.07.2020', '01.08.2020', '01.09.2020', '01.10.2020'])
df2 = pd.to_datetime(['01.01.2020', '14.01.2020', '04.03.2020', '20.03.2020', '17.07.2020', '19.09.2020'])
import pandas as pd
df1 = pd.to_datetime(['01.01.2020', '15.01.2020', '01.02.2020', '01.03.2020', '15.03.2020', '01.04.2020', '01.05.2020', '01.06.2020', '01.07.2020', '01.08.2020', '01.09.2020', '01.10.2020'], format="%d.%m.%Y")
df2 = pd.to_datetime(['01.01.2020', '14.01.2020', '04.03.2020', '20.03.2020', '17.07.2020', '19.09.2020', '03.11.2021'], format="%d.%m.%Y")
lst_df1 = list(df1.sort_values())
lst_df2 = list(df2.sort_values())
dict_df3 = {}
window_start = lst_df2[0]
window_stop = lst_df2[1]
for date in lst_df1:
while date > window_stop:
window_start = lst_df2[0]
lst_df2 = lst_df2[1:]
window_stop = lst_df2[0]
dict_df3[date] = window_start
df3 = pd.DataFrame.from_dict(dict_df3, orient='index').reset_index()