SimExLite.DiffractionData.DiffractionData

class SimExLite.DiffractionData.DiffractionData(key, data_dict=None, filename=None, file_format_class=None, file_format_kwargs=None)

Diffraction data mapper

__init__(key, data_dict=None, filename=None, file_format_class=None, file_format_kwargs=None)

Parameters:

• key – The key to identify the Data Object.

• expected_data – A placeholder dict for expected data. The keys of this dict are expected to be found during the execution of get_data(). The value for each key can be None.

• data_dict – The dict to map by this DataClass. It has to be None if a file mapping was already set, defaults to None.

• filename – The filename of the file to map by this DataClass. It has to be None if a dict mapping was already set, defaults to None.

• file_format_class (class, optional) – The FormatClass to map the file by this DataClass, It has to be None if a dict mapping was already set, defaults to None

• file_format_kwargs – The kwargs needed to map the file, defaults to None.

Methods

__init__(key[, data_dict, filename, ...])	param key: The key to identify the Data Object.
add_Gaussian_noise(mu, sigs_popt)	Add Gaussian noise to one diffraction pattern
add_beam_stop(stop_rad)	Add a beamstop in pixel radius (float) to the diffraction patterns.
apply_geom_mask(geom)	Apply the mask from a detector geom to the data, detector gaps will be filled with -1.
from_dict(data_dict, key)	Create the data class by a python dictionary.
from_file(filename, format_class, key, **kwargs)	Create a Data Object mapping a file.
get_data(**kwargs)	Return the data in a dictionary
list_formats()	Print supported formats
multiply(val[, chunk_size])	Multiply a number to the diffraction patterns.
poissonize()	Poissonize the data array in this data class
set_array_data_type(data_type)	The the data numpy array dtype
set_dict(data_dict)	Set a mapping dict for this DataClass.
set_file(filename, format_class, **kwargs)	Set a mapping file for this DataClass.
supported_formats()
write(filename, format_class[, key])	Write the data mapped by the Data Object into a file and return a Data Object mapping the file.

Attributes

data_dict	The data_dict of the class instance for calculator usage
expected_data	The expected_data of the class instance for calculator usage
file_format_class	The FormatClass to map the file by this DataClass
file_format_kwargs	The kwargs needed to map the file
filename	The filename of the file to map by this DataClass.
key	The key of the class instance for calculator usage
mapping_content	Returns an overview of the keys of the mapped dict or the filename of the mapped file
mapping_type	If this data class is a file mapping or python dict mapping.