python - numpy fromfile using remote paramiko SFTPFile connection -

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I have a binary data file on that server, which I want to read with numpy. Instead of entering the server and run my Python code, I think I can make a remote SFTP connection file using paramiko SSH2 module: 

  import sftp_client = ssh_client.open_sftp () remote to # get connections: paramiko # (els039) ssh_client = paramiko.SSHClient () to remote servers SSH connection ssh_client.load_system_host_keys () ssh_client.connect ( "els039") # now SFTP The client gets the connection to the file rfile = sftp_client.open ('2013041506.dat')   
 Now, I use the data standard dragon File can use reading functions, but I can not use Numpy to read the data. For example, I (known length) you want to read the 3 arrays of such data:  
  zdat = np.fromfile (rfile, dtype = "& gt; F8", count = zdat_len) udat = np.fromfile (rfile, dtype = "& gt; F8", count = udat_len) vdat = np.fromfile (rfile, dtype = "& gt; F8", = vdat_len count)   
 But oval does not like the fact that  rfile  is the type  paramiko.SFTPFile .  
 What do I have to do - or do I just complete the file in a local directory?   
 
 
 If you want to get whatever you want  
 If you reverse-engineer  numpy.fromfile ()  to  & lt; FileObject & gt;  The methods to reach should structure / data-cells to read and create  paramiko.SFTPFile  objects / instance-methods.  
 of its own sub-group on an ad-hoc Add-ons, if you want faster results of work  
 Then you can make a simple  Download (Instantiate) .dat  on your  & lt -file example; Local Host & gt;  file system, that can be processed by  numpy.fromfile ()  and / or  numpy.loadtxt ()  standard methods & amp; Worked in this way.

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