https://github.com/ready-steady/hdf5

Reader and writer of HDF5 files
https://github.com/ready-steady/hdf5

data-format science

Last synced: about 2 months ago
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Reader and writer of HDF5 files

• Host: GitHub
• URL: https://github.com/ready-steady/hdf5
• Owner: ready-steady
• License: mit
• Created: 2015-03-25T15:39:56.000Z (almost 10 years ago)
• Default Branch: master
• Last Pushed: 2017-07-15T04:51:50.000Z (over 7 years ago)
• Last Synced: 2024-06-19T10:16:07.474Z (6 months ago)
• Topics: data-format, science
• Language: Go
• Size: 28.3 KB
• Stars: 18
• Watchers: 2
• Forks: 2
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

        
# HDF5 [![Build Status][travis-img]][travis-url]

The package provides a reader and writer of [HDF5][1] files.

## [Documentation][doc]

## Installation

Fetch the package:

```bash

go get -d github.com/ready-steady/hdf5

```

Go to the directory of the package:

```bash

cd $GOPATH/src/github.com/ready-steady/hdf5

```

Install the package:

```bash

make install

```

## Usage

```go

package main

import (

	"fmt"

	"github.com/ready-steady/hdf5"

)

func main() {

	put("data.h5")

	get("data.h5")

}

func put(path string) {

	file, _ := hdf5.Create(path)

	defer file.Close()

	A := 42

	file.Put("A", A)

	B := []float64{1, 2, 3}

	file.Put("B", B)

	C := struct {

		D int

		E []float64

	}{

		D: 42,

		E: []float64{1, 2, 3},

	}

	file.Put("C", C)

}

func get(path string) {

	file, _ := hdf5.Open(path)

	defer file.Close()

	A := 0

	file.Get("A", &A)

	fmt.Println(A)

	B := []float64{}

	file.Get("B", &B)

	fmt.Println(B)

	C := struct {

		D int

		E []float64

	}{}

	file.Get("C", &C)

	fmt.Println(C)

}

```

## Contribution

1. Fork the project.

2. Implement your idea.

3. Open a pull request.

[1]: https://en.wikipedia.org/wiki/Hierarchical_Data_Format

[doc]: http://godoc.org/github.com/ready-steady/hdf5

[travis-img]: https://travis-ci.org/ready-steady/hdf5.svg?branch=master

[travis-url]: https://travis-ci.org/ready-steady/hdf5