I am trying to reshape a dataset using pivot. My dataset structure is like this : ['column A', 'column B', 'index', 'label', 'value'].
I have preprocessed the data using a Python script : 1) sorting the index column I want to use as my pivot, and 2) reordering the columns so that my dataset is now : ['index', 'label', 'value', 'column A', 'column B'], since I noticed the pivot method would work inconsistently otherwise.
Now the visual pivot recipe gets the job done, but the python pivot method fails to do so : all other columns are removed, and I cannot find additional arguments to correct this.
Is this discrepancy between your processor and the Pandas method known to you ? The Pandas pivot method seems highly unpractical in its current state, what alternative would you recommend since I really want to be able to process my data programmatically ?
edit : using DSS 4.0.4, 2-week trial of the Entreprise Edition, working from my own machine.
