What are the benefits of del command?
Is there a benefit to deleting the columns from the dataframe instead of using the .drop-method or assigning the spx-series to a new variable?
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Not sure of any benefits, i know drop method is faster and more "user friendly, ie can be performed with one line for multiple columns :
df_comp.drop(['spx','dax','ftse','nikkei'],axis=1, inplace=True)
df_comp.drop(df_comp.columns[[0,1,2,3]],axis=1, inplace=True)