Defined in uproot.interpretation.library on line 40.

class uproot.interpretation.library.Library

Abstract superclass of array-library handlers, for libraries such as NumPy, Awkward Array, and Pandas.

A library is used in the finalization and grouping stages of producing an array, converting it from internal representations like uproot.interpretation.jagged.JaggedArray, uproot.interpretation.strings.StringArray, and uproot.interpretation.objects.ObjectArray into the library’s equivalents. It can also be required for concatenation and other late-stage operations on the output arrays.

Libraries are usually selected by a string name. These names are held in a private registry in the uproot.interpretation.library module.



Attempts to import the library and returns the imported module.


Library.empty(shape, dtype)
  • shape (tuple of int) – NumPy array shape. (The first item must be zero.)

  • dtype (numpy.dtype or its constructor argument) – NumPy array dtype.

Returns an empty NumPy-like array.


Library.zeros(shape, dtype)
  • shape (tuple of int) – NumPy array shape. (The first item must be zero.)

  • dtype (numpy.dtype or its constructor argument) – NumPy array dtype.

Returns a NumPy-like array of zeros.


Library.finalize(array, branch, interpretation, entry_start, entry_stop, interp_options)
  • array (array) – Internal, temporary, trimmed array. If this is a NumPy array, it may be identical to the output array.

  • branch (uproot.TBranch) – The TBranch that 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”).


Library.group(arrays, expression_context, how)
  • 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 arrays into a library-appropriate group type.


Library.global_index(array, global_offset)
  • array (array) – The library-appropriate array whose global index needs adjustment.

  • global_offset (int) – A number to add to the global index of array to correct it.

Apply in-place corrections to the global index of array by adding global_offset.

Even though the operation is performed in-place, this method returns the array.



all_arrays (list of arrays) – A list of library-appropriate arrays that need to be concatenated.

Returns a concatenated version of all_arrays.