SampleHandlerBase

class pyMaCh3._pyMaCh3.samples.SampleHandlerBase

Methods Summary

`add_data`(self, sample, data_array)	Set the data for your sample handler (assumes the binning is the same as your MC!)
`get_data_array`(self, sample)	Returns the contents of the MC histogram as a flat list
`get_data_hist`(self, Dimension)	Get Data histogram as numpy arrays.
`get_mc_array`(self, sample)	Returns the contents of the MC histogram as a flat list
`get_sample_title`(self, sample)	Get the title for a given sample
`get_var_hist`(self, arg0, arg1, arg2, arg3, ...)
`get_w2_array`(self, sample)	Returns the contents of the W2 histogram as a flat list
`get_w2_hist`(self, sample)	Get W2 histogram as numpy arrays.

Methods Documentation

add_data(self: pyMaCh3._pyMaCh3.samples.SampleHandlerBase, sample: int, data_array: list[float]) → None: Set the data for your sample handler (assumes the binning is the same as your MC!)

get_data_array(self: pyMaCh3._pyMaCh3.samples.SampleHandlerBase, sample: int) → list[float]: Returns the contents of the MC histogram as a flat list

get_data_hist(self: pyMaCh3._pyMaCh3.samples.SampleHandlerBase, Dimension: int) → tuple: Get Data histogram as numpy arrays. For 1D: Returns (contents, edges) For 2D: Returns (contents, edgesX, edgesY) where contents is shape (nbinsY, nbinsX) for 2D

get_mc_array(self: pyMaCh3._pyMaCh3.samples.SampleHandlerBase, sample: int) → list[float]: Returns the contents of the MC histogram as a flat list

get_sample_title(self: pyMaCh3._pyMaCh3.samples.SampleHandlerBase, sample: int) → str: Get the title for a given sample

get_var_hist(self: pyMaCh3._pyMaCh3.samples.SampleHandlerBase, arg0: int, arg1: str, arg2: str, arg3: list[KinematicCut], arg4: int, arg5: list[KinematicCut]) → tuple

get_w2_array(self: pyMaCh3._pyMaCh3.samples.SampleHandlerBase, sample: int) → list[float]: Returns the contents of the W2 histogram as a flat list

get_w2_hist(self: pyMaCh3._pyMaCh3.samples.SampleHandlerBase, sample: int) → tuple: Get W2 histogram as numpy arrays. For 1D: Returns (contents, edges) For 2D: Returns (contents, edgesX, edgesY) where contents is shape (nbinsY, nbinsX) for 2D