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Change Log

All notable changes to this project will be documented in this file. This project adheres to Semantic Versioning. This document follows markdownlint formatting rules.

0.12.0 - 2021-10-10

Added in 0.12.0

  • Add dataframe.GetGroups (@arjunmahishi)
  • Add Series.Slice (@jfussion)
  • Add csv lazy quote (@fredericlemoine)

Changed in 0.12.0

  • series.Err is deprecated; use Error() instead
  • dataframe.Err is deprecated; use Error() instead

Fixed in 0.12.0

  • Fix dataframe.GroupBy issue (@prliu)
  • making series Order stable (@mcolosimo-p4)

0.11.0 - 2021-06-27

Added in 0.11.0

  • Rolling window Mean and StdDev
  • GroupBy and Aggregate
  • Numeric column index
  • Read HTML tables
  • extra checks for TravisCI
  • Combining filters with AND
  • User-defined filters
  • Concatination of Dataframes

Changed in 0.11.0

  • Make fixColnames faster
  • Use Go 1.16
  • Update dependencies

Fixed in 0.11.0

  • Linter issues
  • Failing tests

0.10.1 - 2019-11-08

Fixed in 0.10.1

  • LoadRecords printing type debug information
  • Missing closing brackets in series.go
  • Fix gonum import path in dataframe_test

0.10.0 - 2019-11-08

Changed in 0.10.0

  • Merged dev branch changes from multiple collaborators (Sam Zaydel, Kyle Ellrott, Daniela Petruzalek, Christoph Laaber).

0.9.0 - 2016-10-03

Added in 0.9.0

  • Additional method to load arbitrary struct slices to DataFrames (Juan Álvarez)
  • New LoadOption Names to set initial column names (Sander van Harmelen).
  • Parser option for csv delimiter (Kyle Ellrott)
  • New Describe method for reporting summary statistics (Daniela Petruzalek)

Changed in 0.9.0

  • Improve the performance of multiple operations.
  • Code cleanup for better consistency (Sander van Harmelen)
  • Renamed 'Deselect' function to 'Drop' (Ben Marshall)

0.8.0 - 2016-12-12

Added in 0.8.0

  • Series.Order method and tests.
  • Series.IsNaN method and tests.
  • DataFrame.Arrange method and tests.
  • DataFrame.Capply method and tests.
  • DataFrame.Rapply method and tests.
  • Benchmarks for several operations on both the series and dataframe packages.
  • Many optimizations that increase the performance dramatically.
  • New LoadOption where the elements to be parsed as NaN from string can be selected.
  • Gota can now return an implementation of gonum/mat64.Matrix interface via DataFrame.Matrix() and load a mat64.Matrix via dataframe.LoadMatrix().

Changed in 0.8.0

  • elementInterface is now exported as Element.
  • Split element.go into separate files for the implementations of the Element interface.
  • LoadOptions API has been renamed for better documentation via godoc.
  • Series.Set and DataFrame.Set now modify the structure in place for performance considerations. If one wants to use the old behaviour, it is suggested to use DataFrame.Copy().Set(...) instead of DataFrame.Set(...).
  • DataFrame.Dim has been changed to DataFrame.Dims for consistency with the mat64.Matrix interface.
  • When printing a large DataFrame now the behaviour of the stringer interface is much nicer, showing only the first 10 rows and limiting the number of characters that can be shown by line

Removed in 0.8.0

  • Some unused functions from the helpers.go file.

Fix in 0.8.0

  • Linter errors.
  • stringElement.Float now returns NaN instead of 0 when applicable.
  • Autorenaming column names when hasHeaders == false now is consistent with the autorename used with dataframe.New
  • Bug where duplicated column names were not been assigned consecutive suffix numbers if the number of duplicates was greater than two.

0.7.0 - 2016-11-27

Added in 0.7.0

  • Many more table tests for both series and dataframe
  • Set method for Series and DataFrame
  • When loading data from CSV, JSON, or Records, different LoadOptions can now be configured. This includes assigning a default type, manually specifying the column types and others.
  • More documentation for previously undocumented functions.

Changed in 0.7.0

  • The project has been restructured on separated dataframe and series packages.
  • Reviewed entire Series codebase for better style and maintainability.
  • DataFrame.Select now accepts several types of indexes
  • Error messages are now more consistent.
  • The standard way of checking for errors on both series and dataframe is to check the Err field on each structure.
  • ReadCSV/ReadJSON and WriteCSV/WriteJSON now accept io.Reader and io.Writer respectively.
  • Updated README with the new changes.

Removed in 0.7.0

  • Removed unnecessary abstraction layer on Series.elements

0.6.0 - 2016-10-29

Added in 0.6.0

  • InnerJoin, CrossJoin, RightJoin, LeftJoin, OuterJoin functions

Changed in 0.6.0

  • More code refactoring for easier maintenance and management
  • Add more documentation to the exported functions
  • Remove unnecessary methods and structures from the exported API

Removed in 0.6.0

  • colnames and coltypes from the DataFrame structure

0.5.0 - 2016-08-09

Added in 0.5.0

  • Read and write DataFrames from CSV, JSON, []map[string]interface{}, [][]string.
  • New constructor for DataFrame accept Series and NamedSeries as arguments.
  • Subset, Select, Rename, Mutate, Filter, RBind and CBind methods
  • Much Better error handling

Changed in 0.5.0

  • Almost complete rewrite of DataFrame code.
  • Now using Series as first class citizens and building blocks for DataFrames.

Removed in 0.5.0

  • Merge/Join functions have been temporarily removed to be adapted to the new architecture.
  • Cell interface for allowing custom types into the system.

0.4.0 - 2016-02-18

Added in 0.4.0

  • Getter methods for nrows and ncols.
  • An InnerJoin function that performs an Inner Merge/Join of two DataFrames by the given keys.
  • An RightJoin and LeftJoin functions that performs outer right/outer left joins of two DataFrames by the given keys.
  • A CrossJoin function that performs an Cross Merge/Join of two DataFrames.
  • Cell interface now have to implement the NA() method that will return a empty cell for the given type.
  • Cell interface now have to implement a Copy method.

Changed in 0.4.0

  • The cell interface is now exported: Cell.
  • Cell method NA() is now IsNA().
  • The function parseColumn is now a method.
  • A number of fields and methods are now expoted.

Fixed in 0.4.0

  • Now ensuring that generated subsets are in fact new copies entirely, not copying pointers to the same memory address.

0.3.0 - 2016-02-18

Added in 0.3.0

  • Getter and setter methods for the column names of a DataFrame
  • Bool column type has been made available
  • New Bool() interface
  • A column now can now if any of it's elements is NA and a list of said NA elements ([]bool).

Changed in 0.3.0

  • Renamed cell interface elements to be more idiomatic:
    • ToInteger() is now Int()
    • ToFloat() is now Float()
  • The cell interface has changed. Int() and Float() now return pointers instead of values to prevent future conflicts when returning an error.
  • The cell interface has changed. Checksum() [16]byte added.
  • Using cell.Checksum() for identification of unique elements instead of raw strings.
  • The cell interface has changed, now also requires ToBool() method.
  • String type now does not contain a string, but a pointer to a string.

Fixed in 0.3.0

  • Bool type constructor function Bools now parses bool and []bool elements correctly.
  • Int type constructor function Ints now parses bool and []bool elements correctly.
  • Float type constructor function Floats now parses bool and []bool elements correctly.
  • String type constructor function Strings now parses bool and []bool elements correctly.

0.2.1 - 2016-02-14

Fixed in 0.2.1

  • Fixed a bug when the maximum number of characters on a column was not being updated properly when subsetting.

0.2.0 - 2016-02-13

Added in 0.2.0

  • Added a lot of unit tests

Changed in 0.2.0

  • The base types are now df.String, df.Int, and df.Float.
  • Restructured the project in different files.
  • Refactored the project so that it will allow columns to be of any type as long as it complies with the necessary interfaces.

0.1.0 - 2016-02-06

Added in 0.1.0

  • Load csv data to DataFrame.
  • Parse data to four supported types: int, float64, date & string.
  • Row/Column subsetting (Indexing, column names, row numbers, range).
  • Unique/Duplicated row subsetting.
  • DataFrame combinations by rows and columns (cbind/rbind).