Difference between revisions of "Using LiPD files"
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| − | + | Note: This page is a work in progress (moreso than most wiki pages). | |
| − | The [[LiPD Utilities]] | + | After downloading a LiPD file, there are a number of ways to use it. The recommended ways are to use the LiPD utilities or pyleoclim. |
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| + | __TOC__ | ||
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| + | ==LiPD Utilities== | ||
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| + | The [[LiPD Utilities]] are a primary way to interact with LiPD files. The utilities are available on [https://github.com/nickmckay/LiPD-utilities GitHub] in Matlab, R, and Python language. All three languages support reading and writing a LiPD file, extracting and collapsing time series, and filtering time series. | ||
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| + | ===LiPD Utilities in Python 3=== | ||
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| + | <blockquote>'''''A note for Windows users:''' While programs like Python exist for Windows, you'll have more flexibility if you work in a Linux environment. To start working with Linux, you could ask your university for an account on their Linux machine, then use a program like ssh to connect. Alternately, you could install a Linux virtual machine (e.g. [https://www.virtualbox.org/ VirtualBox]) on your PC.''</blockquote> | ||
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| + | To use LiPD Utilies in Python, first make sure you have Python 3 installed. If you don't, one option is [https://www.continuum.io/downloads Anaconda]. | ||
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| + | Next install LiPD Utilities: | ||
| + | |||
| + | pip install | ||
| + | |||
| + | Start python: | ||
| + | |||
| + | python | ||
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| + | <syntaxhighlight lang="python"> | ||
| + | import lipd | ||
| + | </syntaxhighlight> | ||
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| + | |||
| + | ==Pyleoclim== | ||
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| + | ==CSV files== | ||
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| + | If you’re in a jam and need a plaintext version of the data, all LiPD files contain .csv files of the raw data. Simply unzip your LiPD file to find a .csv file. However, a central goal of LiPD is to put paleoclimate data into a standardized format which common analysis scripts can be built for, so using .csv files more than necessary is not recommended. | ||
Revision as of 17:56, 23 June 2017
Note: This page is a work in progress (moreso than most wiki pages).
After downloading a LiPD file, there are a number of ways to use it. The recommended ways are to use the LiPD utilities or pyleoclim.
LiPD Utilities
The LiPD Utilities are a primary way to interact with LiPD files. The utilities are available on GitHub in Matlab, R, and Python language. All three languages support reading and writing a LiPD file, extracting and collapsing time series, and filtering time series.
LiPD Utilities in Python 3
A note for Windows users: While programs like Python exist for Windows, you'll have more flexibility if you work in a Linux environment. To start working with Linux, you could ask your university for an account on their Linux machine, then use a program like ssh to connect. Alternately, you could install a Linux virtual machine (e.g. VirtualBox) on your PC.
To use LiPD Utilies in Python, first make sure you have Python 3 installed. If you don't, one option is Anaconda.
Next install LiPD Utilities:
pip install
Start python:
python
import lipd
Pyleoclim
CSV files
If you’re in a jam and need a plaintext version of the data, all LiPD files contain .csv files of the raw data. Simply unzip your LiPD file to find a .csv file. However, a central goal of LiPD is to put paleoclimate data into a standardized format which common analysis scripts can be built for, so using .csv files more than necessary is not recommended.
