Python 识别带引号和不带引号

Question

I have this line of code that works.

price = df1.loc[:, ['price', 'date']]

I need to emulate this is as a loop with other metrics like sales and revenue. Is this possible? ie How do I get Python to reference a word in the list both with and without quotation marks?

listx = [price,sales, revenue]
for a in listx:
    a = df1.loc[:, ['a', 'date']]

Answer 1

IIUC, you could do something like this, using a list comprehension:

listx = ['price','sales', 'revenue']
price, sales, revenue=[df1.loc[:, [a, 'date']] for a in listx]

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For a general way, this could be an approach using globals :

listx = ['price','sales', 'revenue']
for a in listx:
    globals().update({a:df1.loc[:, [a, 'date']]})

As is requested in the comments, please provide a minimal reproducible example in the future.

Answer 2

One way to do it is to save it in a dict:

metrics = {}
listx = ['price', 'sales', 'revenue']
for a in listx:
    metrics[a] = df1.loc[:, [a, 'date']]

Now you can access the metrics with metric['sales'] etc.

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Maybe I misunderstood your question. Please provide a minimal reproducible example in the future.