h5analysis.data_2d.load_2d

h5analysis.data_2d.load_2d(config, file, x_stream, detector, *args, norm=False, xoffset=None, xcoffset=None, yoffset=None, ycoffset=None, grid_x=[None, None, None], grid_y=[None, None, None], norm_by=None, binsize_x=None, binsize_y=None)

Internal function to load 2d MCA data

Parameters:

• config (dict) – h5 configuration

• file (string) – filename

• x_stream (string) – h5 sca key or alias of the x-stream

• detector (string) – alias of the MCA detector

• *args (ints) – scan numbers

• **kwargs –

  norm: boolean

  normalization to maximum True or False, if None intepreted as False

  xoffset: list of tuples

  fitted offset (x-stream)

  xcoffset: float

  constant offset (x-stream)

  yoffset: list of tuples

  fitted offset (y-stream)

  ycoffset: float

  constant offset (y-stream)

  grid_x: list

  grid equally spaced in x with [start, stop, delta]

  grid_y: list

  grid equally spaced in y with [start, stop, delta]

  norm_by: string

  norm MCA by defined h5 key or SCA alias

  binsize_x: int

  puts data in bins of specified size in the horizontal direction

  binsize: int

  puts data in bins of specified size in the vertical direction

Returns:

data

Return type:

dict