LAJuliaUtils is my personal repository for utility functions, mainly for dataframes.
As it is not a registered Julia package, use it with :add
It implements the following functions:
  • addCols!(df, colsName, colsType) - Adds to the DataFrame empty column(s) colsName of type(s) colsType
  • pivot(df::AbstractDataFrame, rowFields, colField, valuesField; <kwd args>) - Pivot and optionally filter and sort in a single function
  • customSort!(df, sortops) - Sort a DataFrame by multiple cols, each specifying sort direction and custom sort order
  • 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.
  • findall(pattern,string,caseSensitive=true) - Find all the occurrences of pattern in string
In particular the pivot() function accepts the following arguments:
  • df::AbstractDataFrame: the original dataframe, in stacked version (dim1,dim2,dim3... value)
  • rowFields: the field(s) to be used as row categories (also known as IDs or keys)
  • colField::Symbol: the field containing the values to be used as column headers
  • valuesField::Symbol: the column containing the values to reshape
  • ops=sum: the operation(s) to perform on the data, default on summing them
  • filter::Dict: an optional filter, in the form of a dictionary of column_to_filter => [list of ammissible values]
  • sort: optional row field(s) to sort
While an updated, expanded and revised version of this chapter is available in "Chapter 9 - Working with Data" of Antonello Lobianco (2019), "Julia Quick Syntax Reference", Apress, this tutorial remains in active development.