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I am working on a program that allows me to perform diagnostics and extract data from files that contain hundreds of excel sheets. I am using the DataNitro add in.

My program has two phases:

PhaseI: The diagnostic: the program reads every cell in certain user input columns on every sheet, and returns dictionaries and lists into an excel tab. An example of the lists are: starting/ending rows of the data to be extracted. Lists of sheets and observations that are missing, or have unusual values etc. These objects have two purposes 1) To allow the user to identify values that should be checked before the data are extracted and 2) to describe the data structure of each sheet.

PhaseII: The data extraction program used the objects created in Phase one, to extract the data from the individual sheets, and to compile it on a new sheet.

The program works wonderfully, and I am able to extract thousands of observations very quickly (when you understand that the previous incumbent of my job was doing it by hand!!!).

So here is the question:

In order for Phase II to happen it uses the object created in phase one. This means, that once the diagnostic phase is over, and has been iterated a sufficient number of times by the user until he is happy that the data are ready to be extracted, the whole program has to be run again from the beginning. This is most definitely an inefficiency, especially as the diagnostic phase can take some minutes. So what I want to know is, is there some way to read the lists that are contained in cell values back into python as the object type that they are intended to be? If there is then, I can use the objects from Phase I as the they appear in the excel sheet, and take them directly to Phase II without having to rerun the phase I program.

for example: one of the dictionarys has a key that represents the sheet number, and an entry that is itself a list of dictionaries with keys of observation value, an entry that is a list on which rows that observation can be found...

{'Sheet1': [{'OBSERVATION4': [12, 13, 14]}, {'OBSERVATION12': [29, 31, 35]}], 'Sheet12': [{'OBSERVATION7': [6, 7, 9]}, {'OBSERVATION18': [40, 44, 48]}]}

In the excel cell this just appears as a string.

How can I read this type of complex object directly back into python???

Thanks

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您可以将字符串传递给eval函数，该函数会将其评估为 Python 代码。例如，如果您在名为“数据表”的工作表的单元格 A1 上有该字符串，则可以执行

my_dict = eval(Cell("Data Sheet", "A1").value)

将字典加载回my_dict.

一般来说，使用 eval 函数时应该小心，因为评估任意用户输入是一个安全漏洞。（例如，您不想在网站上执行此操作。）但是，在这种情况下，用户无论如何都可以编写和运行自己的代码，所以这不是问题。

于 2013-07-04T19:18:57.623 回答