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https://github.com/jpoly1219/gambas
Data analysis tool for Go. Similar to the famous Python library pandas.
https://github.com/jpoly1219/gambas
Last synced: about 1 month ago
JSON representation
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 (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2022-09-07T21:37:25.000Z (over 2 years ago)
- Last Synced: 2024-08-02T18:39:15.905Z (4 months ago)
- Language: Go
- Homepage:
- Size: 5.54 MB
- Stars: 84
- Watchers: 6
- Forks: 5
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- Changelog: changelogs/changelog_v010.md
- License: LICENSE
Awesome Lists containing this project
- 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.