pydspace 0.0.6

Python interface to operate with dspace.

WIP

Python interface for interoperability with dSpace running in Matlab. pyDspace has been designed to used inside Jupyter Notebooks.

Dependencies

• python >= 3.6
• numpy
• matlabengineforpython

Installation

pip install pydspace

API

Import the module as usual

import pydspace

When importing the module a Matlab engine is created and you can use:

pydspace.get_matlab_engine()
pydspace.reset_matlab_engine()
pydspace.kill_matlab_engine()

In order to open dspace from the jupyter notebook, first you must specify where the Matlab Dspace is located with:

pydspace.set_dspace_path(dspace_path)

now you can call dspace as usual with numpy arrays, pandas dataframes and queries made with datajoint.

df = pd.read_csv(CSV_PATH)
N = len(df)

M1 = np.random.rand(N,100)
M2 = np.random.rand(N,100)
M_no_name = np.random.rand(N,100)

# Datajoint 
data = query.fetch()

dspace = pydspace.dspace(df, "matrix1", M1, "matrix2", M2, M_no_name, data)

the returned object is a DspaceWrapper object that implements the following methods:

dspace.dsource_info() # Prints info about the dsource object
dspace.add_data("new_matrix", M3, M2_no_name) # Adds additional sources.

you can find more detailed info about the methods in their corresponding docstring.