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Upon adopting the aforementioned recommendations, I realized that executing "for line in f" is unsuitable for a pandas dataframe, despite no one claiming otherwise. This is because, unlike in a traditional file, the conclusion of a dataframe is denoted by its final column instead of its final ...
如果我们在迭代器上调用该iter()函数,它将始终使我们自身返回。 numbers=[100,200,300]iterator1=iter(numbers)iterator2=iter(iterator1)# Check if they are the same objectprint(iterator1isiterator2)fornumberiniterator1:print(number) 输出: True100200300 有关迭代器的其他说明 这听起来可能有些混乱。但是...
To obtain your dates every 833 days, you can employ pandas date_range and iterate through them. Moreover, it seems that your date format adheres to isoformat. To obtain the data into the dataframe and export it to CSV, place your code within the for loop. dates_list = pd.date_range(...