issue_comments: 36185024

This data as json

html_url issue_url id node_id user created_at updated_at author_association body reactions performed_via_github_app issue
https://github.com/pydata/xarray/issues/23#issuecomment-36185024 https://api.github.com/repos/pydata/xarray/issues/23 36185024 MDEyOklzc3VlQ29tbWVudDM2MTg1MDI0 514053 2014-02-26T22:21:01Z 2014-02-26T22:21:01Z CONTRIBUTOR

Another similar option would be to use in-memory HDF5 objects for which Todd Small found an option:

Writing to a string:

h5_file = tables.open_file("in-memory", title=my_title, mode="w", 12 driver="H5FD_CORE", driver_core_backing_store=0) ... [add variables] ... image = h5_file.get_file_image()

Reading from a string

h5_file = tables.open_file("in-memory", mode="r", driver="H5FD_CORE", driver_core_image=image, driver_core_backing_store=0)

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   28375178