hsds | Cloud-native , service based access to HDF data | Continuous Deployment library
kandi X-RAY | hsds Summary
kandi X-RAY | hsds Summary
HSDS is a web service that implements a REST-based web service for HDF5 data stores. Data can be stored in either a POSIX files system, or using object based storage such as AWS S3, Azure Blob Storage, or OpenIO . HSDS can be run a single machine using Docker or on a cluster using Kubernetes (or AKS on Microsoft Azure).
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Top functions reviewed by kandi - BETA
- Get PUT value
- Convert bytes to numpy array
- Return a list representation of the Dataset
- Convert bytes to list
- Create a new Dataset
- Return the node number for a given app
- Validate that the object is in partition
- Check if a metadata object exists in a partition
- Get dataset
- Get a single chunk
- Initialize the application
- PUT attribute value
- PUT an attribute
- POST a chunk
- Register a new node
- Update dataset shape
- Get a specific domain
- Convert a bytes object to a numpy array
- Get a specific byte range
- Get a GET_Attribute value
- Log lambda function
- Delete a domain
- Main entry point
- Handle POST request
- Get value for dataset
- Update domain
- PUT a PUT chunk
hsds Key Features
hsds Examples and Code Snippets
Community Discussions
Trending Discussions on hsds
QUESTION
I'm curious if anyone here has been able to successfully access NREL's wind datasets using the h5py library as explained here: https://github.com/NREL/hsds-examples ?
I am having trouble with configuring HSDS. I am using Python 3.7.10 and Anaconda. These are the steps that are listed:
For this to work you must first install h5pyd:
...ANSWER
Answered 2021-Aug-03 at 05:05I was able to get it running with the following setup:
(optional) MambaForge base. Mamba is faster than Conda, and working in base is practically an anti-pattern.
Jupyter in dedicated environment.
jupyter.yaml
QUESTION
all,
First post on SO so if I am asking a question that has already been answered please let me know and I will delete this post right away.
I am trying to convert a text file that looks something like this:
...ANSWER
Answered 2021-Apr-04 at 06:12You could proceed like this by collecting data by concatenation in an array:
QUESTION
I have several tidyr "uncounted" histograms in one dataframe using the following code:
...ANSWER
Answered 2020-Nov-18 at 07:50Starting after the "uncount data" code block:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install hsds
You can use hsds like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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