I am working with feature vectors in machine learning which is different in length; There are some scalers, the other vectors, I represent a feature vector in the form of the entire row in the Panda Dataframe object. Suppose I have some dataframe that I created using:
Feature_Matrix = pd.DataFrame (data, column = ['feat1', 'feat2' ..., 'featN '])
Now suppose that' fat1 'matches some scalar C and there is a vector with' Feet 2 'value [M, N], how do I get it I can call like
Feature_Matrix
gives some sort of array in the following types:
'feat1 ',' Feat2 'image 1 [C1, M1, N1, ....] Image 2 [C2, M2, N2, ....] ...
Mu It needs that if I am an index in Feature_Matrix:
Feature_Matrix ['feat2']
Then this returns
< Code> image 1 [[M1, N1], image 2 [M2, N2], ...]]
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