Utility functions for Julia, mainly dataframes operations
6 Stars
Updated Last
11 Months Ago
Started In
April 2017


Various utility functions for Julia.

Build Status

Read more about them using the ?function syntax (after the package has been installed and imported).

This is NOT (yet) a Julia registered package:

  • install it with ] add
  • import it with using LAJuliaUtils

Provided functions:

  • addCols!(df, colsName, colsType) - Adds to the DataFrame empty column(s) colsName of type(s) colsType
  • customSort!(df, sortops) - Sort a DataFrame by multiple cols, each specifying sort direction and custom sort order
  • findall(pattern,string,caseSensitive=true) - Find all the occurrences of pattern in string
  • pivot(df::AbstractDataFrame, rowFields, colField, valuesField; <kwd args>) - Pivot and optionally filter and sort in a single function
  • toDict(df, dimCols, valueCol) - Convert a DataFrame in a dictionary, specifying the dimensions to be used as key and the one to be used as value.
  • unzip(unzip(file,exdir="") - Unzip a zipped archive using ZipFile
  • addIfNeeded(pkgs...) - Add (if needed) the packages in the argument list (given as strings)
  • installAndUse(pkgs...) - Add (if needed) and use the packages in the argument list (given as strings)

Julia 0.6 only:

  • toDataFrame(t) - (Julia 0.6 only) Convert an IndexedTable NDSparse table to a DataFrame, maintaining column types and (eventual) column names.
  • defEmptyIT(dimNames, dimTypes; <kwd args>) - (Julia 0.6 only) Define empty IndexedTable(s) with the specific dimension(s) and type(s).
  • defVars(vars, df, dimensions;<kwd args>) - (Julia 0.6 only) Create the required IndexedTables from a common DataFrame while specifing the dimensional columns.
  • fillMissings!(vars, value, dimensions) - (Julia 0.6 only) For each values in the specified dimensions, fill the values of IndexedTable(s) without a corresponding key.