https://github.com/sylvaticus/lajuliautils.jl

Utility functions for Julia, mainly dataframes operations
https://github.com/sylvaticus/lajuliautils.jl

Last synced: about 2 months ago
JSON representation

Utility functions for Julia, mainly dataframes operations

• Host: GitHub
• URL: https://github.com/sylvaticus/lajuliautils.jl
• Owner: sylvaticus
• License: mit
• Created: 2017-04-03T11:52:56.000Z (almost 9 years ago)
• Default Branch: master
• Last Pushed: 2022-09-05T12:50:16.000Z (over 3 years ago)
• Last Synced: 2023-03-06T09:07:49.839Z (almost 3 years ago)
• Language: Julia
• Size: 35.2 KB
• Stars: 5
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# LAJuliaUtils

Various utility functions for Julia.

[![Build Status](https://travis-ci.com/sylvaticus/LAJuliaUtils.jl.svg?branch=master)](https://travis-ci.com/sylvaticus/LAJuliaUtils.jl)

[![codecov.io](http://codecov.io/github/sylvaticus/LAJuliaUtils.jl/coverage.svg?branch=master)](http://codecov.io/github/sylvaticus/LAJuliaUtils.jl?branch=master)

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 https://github.com/sylvaticus/LAJuliaUtils.jl.git`

* 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; )` - 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; )` - **(Julia 0.6 only)** Define empty IndexedTable(s) with the specific dimension(s) and type(s).

* `defVars(vars, df, dimensions;)`   - **(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.