2.2.27. addCalculation

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Purpose

Add or alter column(s) with derived values according to user-defined arithmetic operation between column(s). Column labels are tagged by '#label#' in formulas. Use ';' for ',' in functions. Numpy is available as 'np'. Special variables: #_row_# -- row index Examples: (1) magnitude of vector -- "np.linalg.norm(#vec#)" (2) rounded root of row number -- "round(math.sqrt(#_row_#);3)"

Usage

> addCalculation options ASCII table(s) 

Options

-l / --label

(list of) new column labels

-f / --formula

(list of) formulas corresponding to labels

-c / --condition

condition to alter existing column data (optional)

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Examples

• distance between origin and node coordinates

  --label 'nodeDistance' --formula 'np.linalg.norm( #node# )'