uproot.interpretation.library.NumPy
Defined in uproot.interpretation.library on line 171.
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- class uproot.interpretation.library.NumPy
- A uproot.interpretation.library.Library that presents - TBranchdata as NumPy arrays. The standard name for this library is- "np".- The single- - TBranchform for this library is a- numpy.ndarray. If the data are non-numerical, they will be converted into Python objects and stored in an array with- dtype="O". This is inefficient, but it is the minimal-dependency option for Python.- The “group” behavior for this library is: - how=dictor- how=None: a dict of str → array, mapping the names to arrays.
- how=tuple: a tuple of arrays, in the order requested. (Names are lost.)
- how=list: a list of arrays, in the order requested. (Names are lost.)
 - Since NumPy arrays are not indexed, - global_indexhas no effect.
imported
Inherited from uproot.interpretation.library.Library.
- NumPy.imported
empty
Inherited from uproot.interpretation.library.Library.
- NumPy.empty(shape, dtype)
- Parameters:
- shape (tuple of int) – NumPy array - shape. (The first item must be zero.)
- dtype ( - numpy.dtypeor its constructor argument) – NumPy array- dtype.
 
 - Returns an empty NumPy-like array. 
zeros
Inherited from uproot.interpretation.library.Library.
- NumPy.zeros(shape, dtype)
- Parameters:
- shape (tuple of int) – NumPy array - shape. (The first item must be zero.)
- dtype ( - numpy.dtypeor its constructor argument) – NumPy array- dtype.
 
 - Returns a NumPy-like array of zeros. 
finalize
Inherited from uproot.interpretation.library.Library.
- NumPy.finalize(array, branch, interpretation, entry_start, entry_stop, options)
- Parameters:
- array (array) – Internal, temporary, trimmed array. If this is a NumPy array, it may be identical to the output array. 
- branch (uproot.TBranch) – The - TBranchthat is represented by this array.
- interpretation (uproot.interpretation.Interpretation) – The interpretation that produced the - array.
- entry_start (int) – First entry that is included in the output. 
- entry_stop (int) – FIrst entry that is excluded (one greater than the last entry that is included) in the output. 
- interp_options (dict) – Flags and other options passed through the interpretation process. 
 
 - Create a library-appropriate output array for this temporary - array.- This array would represent one - TBranch(i.e. not a “group”).
group
Inherited from uproot.interpretation.library.Library.
- NumPy.group(arrays, expression_context, how)
- Parameters:
- arrays (dict of str → array) – Mapping from names to finalized array objets to combine into a group. 
- expression_context (list of (str, dict) tuples) – Expression strings and a dict of metadata about each. 
- how (None, str, or container type) – Library-dependent instructions for grouping. The only recognized container types are - tuple,- list, and- dict. Note that the container type itself must be passed as- how, not an instance of that type (i.e.- how=tuple, not- how=()).
 
 - Combine the finalized - arraysinto a library-appropriate group type.
global_index
Inherited from uproot.interpretation.library.Library.
- NumPy.global_index(array, global_offset)
- Parameters:
- array (array) – The library-appropriate array whose global index needs adjustment. 
- global_offset (int) – A number to add to the global index of - arrayto correct it.
 
 - Apply in-place corrections to the global index of - arrayby adding- global_offset.- Even though the operation is performed in-place, this method returns the - array.
concatenate
Inherited from uproot.interpretation.library.Library.
- NumPy.concatenate(all_arrays)
- Parameters:
- all_arrays (list of arrays) – A list of library-appropriate arrays that need to be concatenated. 
 - Returns a concatenated version of - all_arrays.