https://github.com/jpoly1219/gambas

Data analysis tool for Go. Similar to the famous Python library pandas.
https://github.com/jpoly1219/gambas

Last synced: 3 months ago
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Data analysis tool for Go. Similar to the famous Python library pandas.

• Host: GitHub
• URL: https://github.com/jpoly1219/gambas
• Owner: jpoly1219
• License: bsd-3-clause
• Created: 2022-02-14T04:48:45.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-09-07T21:37:25.000Z (almost 2 years ago)
• Last Synced: 2024-01-17T02:02:42.301Z (5 months ago)
• Language: Go
• Homepage:
• Size: 5.54 MB
• Stars: 83
• Watchers: 6
• Forks: 5
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • Changelog: changelogs/changelog_v010.md
  • License: LICENSE

Lists

• awesome-dataframes - gambas - Data analysis tool for Go. Similar to the famous Python library pandas. (Libraries)

README

        
# gambas

---

`gambas` is a data analysis package for Go that provides an intuitive way to manipulate tabular data. The project is inspired by the famous Python library `pandas`.

## Installation

---

```

$ go get -u github.com/jpoly1219/gambas

```

## Documentation

---

The documentation can be found in our [docs page](https://jpoly1219.github.io/gambas/).

We also have a link to the [pkg.go.dev page](https://pkg.go.dev/github.com/jpoly1219/gambas).

## Project Goals

---

- Provide basic features from the pandas tutorial.

  - [x] Providing `Series` and `DataFrame` data types

  - [x] Reading and writing tabular data

    - [x] Reading CSV files

    - [x] Writing to CSV files

    - [x] Reading Excel files

    - [x] Writing to Excel files

    - [x] Reading JSON files

    - [x] Writing to JSON files

  - [x] Selecting a subset of data

    - [x] At, IAt

    - [x] Loc, ILoc

    - [ ] Easier filtering (close to that of SQL)

  - [x] Plotting

    - [x] Set

    - [x] Using

    - [x] Trendline (fit)

    - [x] Statistics

    - [x] Categorical count

  - [x] Creating new columns derived from existing columns

    - [x] Creating new columns

    - [x] Applying operations to the new column

    - [x] Renaming columns

  - [x] Calculating summary statistics

    - [x] Mean, median, standard deviation

    - [x] Min, max, quartiles

    - [x] Count, describe

  - [x] Reshaping the layout of tables

    - [x] Sorting by index

    - [x] Sorting by values

    - [x] Sorting by given index

    - [x] Groupby

    - [x] Pivot (long to wide format)

    - [x] PivotTable (long to wide format)

    - [x] Melt (wide to long format)

  - [x] Combining data from multiple tables

    - [x] Concatenate

    - [x] Merge

  - [ ] Handling time series data

    - [ ] Timestamp type

    - [ ] Timestamp type methods

    - [ ] ToDatetime

  - [ ] Manipulating textual data

  - [x] Multiindex

- [x] pkg.go.dev page

- [ ] Documentation

- [ ] Project website

- [ ] Project logo

## Philosophy

---

`gambas` was created to serve the needs of Go developers who wanted a robust data analysis package. `pandas` is an amazing tool, and is considered the industry standard when it comes to data organization and manipulation.

We didn't have a solid alternative in the Go realm. According to the [Go Developer Survey 2021 Results](https://go.dev/blog/survey2021-results), **missing critical libraries** were one of **the most common barriers** to using Go. You may have used Go for some time now, but you might've missed some of the libraries you used when you were using Python. `gambas` aims to scratch that itch. You will be able to tap into the superpowers of `pandas` while using your favorite language Go.

Go is a very attractive language with a very loyal userbase. It provides a pleasant developer experience with its simple syntax and strong typing. However, Go currently tends to be skewed towards developing services. 49% of projects written in Go are API/RPC services, and another 10% are for web services. The ultimate goal for `gambas` is to allow the Go programming language to be a major player in the data analysis field.