When dictionarys do no have same keys

[dervast]

I am new to accessing nested dictionaries and here is the problem I have. One of my columns in a panda frame contains dictionaries. These dictionaries have as a first key ta number, that is not sequential.

To simplify the problem I print just the first entry of the panda frame column.

print(df.report[0])

{'253.0': {'precision': 0.8333333333333334, 'recall': 0.375, 'f1-score': 0.5172413793103448, 'support': 80}, '305.0': {'precision': 0.8132780082987552, 'recall': 0.9655172413793104, 'f1-score': 0.882882882882883, 'support': 203}, '308.0': {'precision': 0.9594594594594594, 'recall': 0.9861111111111112, 'f1-score': 0.9726027397260274, 'support': 216}, 'accuracy': 0.8797595190380761, 'macro avg': {'precision': 0.8686902670305159, 'recall': 0.7755427841634739, 'f1-score': 0.7909090006397518, 'support': 499}, 'weighted avg': {'precision': 0.8797702316524192, 'recall': 0.8797595190380761, 'f1-score': 0.8630996540097691, 'support': 499}}

In that dictionary the keys are:

253 305.0 308.0

I would like to use those keys to select the next available nested-dictionary to access the precision values.

I highlighted with bold the keys and the precision value I would like to get. If this makes it easier I would be still happy with just the precision values returned as a list. Where I am stuck is that in python I get do something like get to pick keys but my keys are not fixed.

Can you help me with that?

Regards Alex