Create a new hdf5 file after deleting the old one.

Added a shape attribute to the object
Added a __getitem__ method to the class

Updated the parse_dm3 file.
The StringIO imports should now work on both python 2 and 3.
The objects read from the binary file are now decoded as utf-8 when possible.  If decoding fails, the error is ignored and the file read procedes without crashing.

Ensure that the batch size is an integer when cleaning in batch mode

Now require matplotlib>=2.0.0 to ensure we have the new default viridis colormap

Added a helpful (hopefully) message if the channel type is not found so that the user can add it if needed.
Some attributes are stored as np.object_ rather than np.bytes_.  Now checking for that as well.

Use string.decode('utf-8') rather than str(string, 'utf-8') to ensure Python2 compatibility.

Fixed some attribute handling in the patcher.

Only try to use a GUI if check_ssh() is false
Will try PyQt5, PyQt4, or the standard Python input() to query the user for a path.

Checks the environment to see if the code is being run over an SSH connection.

In get_attr, check for both np.bytes_ and the nate bytes types.
In get_attributes, fixed bug with storing returned attribute in the new dictionary

Cades dev

Fixed a couple of attribute checks to use the new get_attr function.

This version trys to import PyQt5 within the function.  It catches ImportErrors and should allow for pycroscopy to be imported even if PyQt5 is not found.

Internal links

Cades dev

Fixed the jupyter_visualize_beps_sho and jupyter_visualize_beps_loops functions