Natural gas

core

Files Size Format Created Updated License Source
3 599kB csv zip 1 month ago EIA
Time series of major Natural Gas Prices including US Henry Hub. Data comes from U.S. Energy Information Administration EIA ## Data Dataset contains Monthly and Daily prices of Natural gas, starting from January 1997, including April 2016. Prices are in nominal dollars. License Public domain read more
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Data Files

File Description Size Last changed Download Other formats
natural-gas-daily [csv] 80kB natural-gas-daily [csv] natural-gas-daily [json] (188kB)
natural-gas-monthly [csv] 4kB natural-gas-monthly [csv] natural-gas-monthly [json] (9kB)
datapackage_zip [zip] Compressed versions of dataset. Includes normalized CSV and JSON data with original data and datapackage.json. 76kB datapackage_zip [zip]

natural-gas-daily  

This is a preview version. There might be more data in the original version.

Field information

Field Name Order Type (Format) Description
Date 1 date (%Y-%m-%d)
Price 2 string

natural-gas-monthly  

This is a preview version. There might be more data in the original version.

Field information

Field Name Order Type (Format) Description
Date 1 date (%Y-%m-%d)
Price 2 string

datapackage_zip  

This is a preview version. There might be more data in the original version.

Read me

Time series of major Natural Gas Prices including US Henry Hub. Data comes from U.S. Energy Information Administration EIA

## Data

Dataset contains Monthly and Daily prices of Natural gas, starting from January 1997, including April 2016. Prices are in nominal dollars.

License

  • Public domain and use of EIA content

U.S. government publications are in the public domain and are not subject to copyright protection. One may use and/or distribute any of data, files, databases, reports, graphs, charts, and other information products that are on website. For more information please visit: Copyrights and Reuse

Import into your tool

If you are using R here's how to get the data you want quickly loaded:

install.packages("jsonlite")
library("jsonlite")

json_file <- "http://datahub.io/core/natural-gas/datapackage.json"
json_data <- fromJSON(paste(readLines(json_file), collapse=""))

# access csv file by the index starting from 1
path_to_file = json_data$resources$path[1][1]
data <- read.csv(url(path_to_file))
print(data)

In order to work with Data Packages in Pandas you need to install the Frictionless Data data package library and the pandas extension:

pip install datapackage
pip install jsontableschema-pandas

To get the data run following code:

import datapackage

data_url = "http://datahub.io/core/natural-gas/datapackage.json"

# to load Data Package into storage
storage = datapackage.push_datapackage(data_url, 'pandas')

# data frames available (corresponding to data files in original dataset)
storage.buckets

# you can access datasets inside storage, e.g. the first one:
storage[storage.buckets[0]]

For Python, first install the `datapackage` library (all the datasets on DataHub are Data Packages):

pip install datapackage

To get Data Package into your Python environment, run following code:

from datapackage import Package

package = Package('http://datahub.io/core/natural-gas/datapackage.json')

# get list of resources:
resources = package.descriptor['resources']
resourceList = [resources[x]['name'] for x in range(0, len(resources))]
print(resourceList)

data = package.resources[0].read()
print(data)

If you are using JavaScript, please, follow instructions below:

Install data.js module using npm:

  $ npm install data.js

Once the package is installed, use the following code snippet:

const {Dataset} = require('data.js')

const path = 'http://datahub.io/core/natural-gas/datapackage.json'

// We're using self-invoking function here as we want to use async-await syntax:
(async () => {
  const dataset = await Dataset.load(path)

  // Get the first data file in this dataset
  const file = dataset.resources[0]
  // Get a raw stream
  const stream = await file.stream()
  // entire file as a buffer (be careful with large files!)
  const buffer = await file.buffer
})()

Install the datapackage library created specially for Ruby language using gem:

gem install datapackage

Now get the dataset and read the data:

require 'datapackage'

path = 'http://datahub.io/core/natural-gas/datapackage.json'

package = DataPackage::Package.new(path)
# So package variable contains metadata. You can see it:
puts package

# Read data itself:
resource = package.resources[0]
data = resource.read
puts data
Datapackage.json