Scipy Minimisation Optimisation Row-wise On Dataframe

TYPO FIXEDD I need to perform a minimization optimisation for each timestep in my timeseries. The optimisation sets the price based on values in different columns across the row an

Solution 1:

The problem is caused by an incorrect value, finance_df.apply(lambda row: row * row.DELIVERIES_R). Unlike the iterating across a row (DataSeries), iterating across a table (DataFrame) requires the axis = 1 to be specified if row-wise, namely df.apply(fun, axis=1) else you get columns (axis 0) and as the column and the error you saw.

(Response first given as comment, now converted to answer to close quickly this typo question).