io#

IO helper functions

qampy.core.io.load_signal(fn)#

Load a signal object from a zlib compressed pickle file.

qampy.core.io.ndarray_from_matlab(fn, keys, transpose=False, dim2cmplx=False, portmap=[[0, 1], [2, 3]])#

Load a signal from matlab and put in the correct numpy array format

Parameters:

fn (basestring) – filename of the matlab file
keys (list or tuple) –
Nested list of keys (array names) in the matlab file. Depending on how the data is structured the keys can be in one of the following formats:

If the symbols are given as a multi-dimensional array of complex numbers:
[[ keyname ]]

If the symbols are given as multi-dimensional real arrays pairs for real and imaginary part:
[[ key_real, key_imag ]]

If the different symbols of modes are saved in different complex arrays:
[[key_mode1], …, [key_modeN]]

If the symbols are given as pairs of real arrays for each mode:
[[key_mode1_real, key_mode1_imag], … [key_modeN_real, key_modeN_imag]]
transpose (boolean, optional) – Whether to transpose the matlab arrays
dim2cmplx (boolean, optional) – Whether one of the dimensions is of the matlab arrays indicates real and imaginary parts. This is common for data from a realtime oscilloscope
portmap (list, optional) – The mapping of dimension to mode and real and imaginary (or quadrature and in-phase) parts. only used when dim2cmplx is True.

Returns:

symbs – numpy array in the correct format for a signal object

Return type:

ndarray

qampy.core.io.save_signal(fn, signal, lvl=4)#

Save a signal object using zlib compression

Parameters:

io