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Description
Pandas version checks
-  I have checked that this issue has not already been reported. 
-  I have confirmed this bug exists on the latest version of pandas. 
-  I have confirmed this bug exists on the main branch of pandas. 
Reproducible Example
import pandas as pd, numpy as np import timeit class Data: def __init__(self, data, tag = 'xxx') -> None: self.data = data self.tag1 = 'xxx' df = pd.DataFrame(np.random.randint(0,10,100).astype(str).reshape(50,2),columns=list('AB')) d = Data(data=df) eval("data.A + f':{tag1}'", d.__dict__) pd.eval("data.A + f':{tag1}'", resolvers=(d.__dict__,))Issue Description
In the above, eval works fine. However pd.eval throws the following exception
AttributeError: 'PandasExprVisitor' object has no attribute 'visit_JoinedStr'
Expected Behavior
If eval is able to evaluate this correctly, then pandas.eval should i feel.
For context, the reason for code like this, is that f strings dont seem to work with pandas series. so i cant do something like:
Installed Versions
Replace this line with the output of pd.show_versions()