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/pull/405#issuecomment-97617706,https://api.github.com/repos/pydata/xarray/issues/405,97617706,MDEyOklzc3VlQ29tbWVudDk3NjE3NzA2,4194485,2015-04-30T00:04:10Z,2015-04-30T00:04:10Z,NONE,"This looks very nice and useful.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,71994342
https://github.com/pydata/xarray/issues/234#issuecomment-56091456,https://api.github.com/repos/pydata/xarray/issues/234,56091456,MDEyOklzc3VlQ29tbWVudDU2MDkxNDU2,4194485,2014-09-18T19:43:18Z,2014-09-18T19:43:18Z,NONE,"I really like option #5.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,43098072
https://github.com/pydata/xarray/issues/106#issuecomment-41714580,https://api.github.com/repos/pydata/xarray/issues/106,41714580,MDEyOklzc3VlQ29tbWVudDQxNzE0NTgw,4194485,2014-04-29T18:31:21Z,2014-04-29T18:31:21Z,NONE,"Thanks @shoyer.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,32275430
https://github.com/pydata/xarray/pull/90#issuecomment-39518247,https://api.github.com/repos/pydata/xarray/issues/90,39518247,MDEyOklzc3VlQ29tbWVudDM5NTE4MjQ3,4194485,2014-04-03T23:41:43Z,2014-04-03T23:41:43Z,NONE,":+1: 
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,30743753
https://github.com/pydata/xarray/issues/66#issuecomment-38004488,https://api.github.com/repos/pydata/xarray/issues/66,38004488,MDEyOklzc3VlQ29tbWVudDM4MDA0NDg4,4194485,2014-03-19T00:08:03Z,2014-03-19T00:08:03Z,NONE,"Here's an elementary example of using HDF5 memory images to pass self-describing binary data between processes using pytables:

``` python
import numpy as np
import os
import tables

pipe_name = '/tmp/my-pipe'
driver = ""H5FD_CORE""
my_array_name = ""My array""
my_attribute = ""Drummer is cool!""
my_title = ""My title""

def child():
    h5_file = tables.open_file(""in-memory"", title=my_title, mode=""w"",
                               driver=driver, driver_core_backing_store=0)
    h5_file.create_array(h5_file.root, ""array"",
                         np.array([0., -1., 1., -2., 2.]),
                         title=my_array_name)
    h5_file.root.array.attrs.my_attribute = my_attribute
    image = h5_file.get_file_image()
    h5_file.close()

    pipeout = open(pipe_name, 'w')
    pipeout.write(image)
    pipeout.flush()

def parent():
    pipein = open(pipe_name, 'r')
    image = pipein.read()

    h5_file = tables.open_file(""in-memory"", mode=""r"", driver=driver,
                               driver_core_image=image,
                               driver_core_backing_store=0)
    print(""my_title is \""%s\""."" % h5_file.title)
    print(""my_attribute is \""%s\""."" % h5_file.root.array.attrs.my_attribute)
    print(""my_array_name is \""%s\""."" % h5_file.root.array.title)
    print(""array data is \""%s\""."" % str(h5_file.root.array[:]))
    h5_file.close()

if not os.path.exists(pipe_name):
    os.mkfifo(pipe_name)

pid = os.fork()
if pid:
    parent()
else:
    child()
```
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