11.2. Utility Modules¶

11.2.1. H5Backend¶

The H5Backend is a wrapper around three hdf5 python packages: pytables, h5py and h5pyd. It allows seemless integration of any of these with PyMoDAQ features

11.2.2. H5Saver¶

This module is a help to save data in a hierachical hdf5 binary file through the H5Backend object . Using the H5Saver object will make sure you can explore your datas with the H5Browser. The object can be used to: punctually save one set of data such as with the DAQ_Viewer (see Single Datas), save multiple acquisition such as with the DAQ_Scan (see From DAQ_Scan) or save on the fly with enlargeable arrays such as the Continuous Saving mode of the DAQ_Viewer.

Punctual use (adapted from the DAQ_Viewer):

# Datas to be saved are contained within a dictionary on the form
"""
datas = OrderedDict(data1D=[OrderedDict(data=ndarray, xaxis=dict(data=..., units=..., labels=...),
                            OrderedDict(...),...])
"""

path = '/test.h5'
h5saver = H5Saver(save_type='detector')
h5saver.init_file(update_h5=True, custom_naming=False, addhoc_file_path=path)

settings_str = 'various information as a string. Best used to convert Parameter object as xml string, so the ' + \
               'H5Browser can render the settings as a Tree'

#creates an incremental detector group under the base raw_group adding detector metadata
det_group = h5saver.add_det_group(h5saver.raw_group, "Data", settings_str) #creates a Det00i group

try:
    self.channel_arrays = OrderedDict([])

    data_types = ['data1D'] #we don't record 0D data in this mode (only in continuous)
    if h5saver.settings.child(('save_2D')).value():
        data_types.append('data2D')

    for data_type in data_types:
        if datas[data_type] is not None:
            if data_type in datas.keys() and len(datas[data_type]) != 0:
                if not h5saver.is_node_in_group(det_group, data_type):

                    data_group = h5saver.add_data_group(det_group, data_type) #for a given detector, creates one
                    #group by dimensionality of data

                    for ind_channel, channel in enumerate(datas[data_type]):  # list of OrderedDict

                        #creates a channel 00i group to store each set of data together with its axis (if relevant)
                        channel_group = h5saver.add_CH_group(data_group, title=channel)

                        #store data in the created channel group
                        h5saver.add_data(channel_group, datas[data_type][channel], scan_type='', enlargeable=False)

class pymodaq.daq_utils.h5modules.H5Saver(*args, **kwargs)[source]¶

status_sig: Signal: emits a signal of type Threadcommand in order to senf log information to a main UI
new_file_sig: Signal: emits a boolean signal to let the program know when the user pressed the new file button on the UI

__init__(*args, **kwargs)[source]¶

Parameters:	(str) (backend) – (str) –