uproot.models.TTree.Model_TTree_v16 — Uproot documentation

# uproot.models.TTree.Model_TTree_v16

Defined in uproot.models.TTree on line 41.

Inheritance order:
uproot.TTree uproot.behaviors.TBranch.HasBranches `collections.abc.Mapping` `collections.abc.Collection` `collections.abc.Sized` `collections.abc.Iterable` `collections.abc.Container` uproot.model.VersionedModel uproot.Model

class uproot.models.TTree.Model_TTree_v16

  A uproot.model.VersionedModel for `TTree` version 16.

## member_names

Model_TTree_v16.member_names

## name

Inherited from uproot.TTree.

Model_TTree_v16.name

  Name of the `TTree`.

## title

Inherited from uproot.TTree.

Model_TTree_v16.title

  Title of the `TTree`.

## object_path

Inherited from uproot.TTree.

Model_TTree_v16.object_path

  Object path of the `TTree`.

## cache_key

Inherited from uproot.TTree.

Model_TTree_v16.cache_key

  String that uniquely specifies this `TTree` in its path, to use as part of object and array cache keys.

## num_entries

Inherited from uproot.TTree.

Model_TTree_v16.num_entries

  The number of entries in the `TTree`, as reported by `fEntries`.

  In principle, this could disagree with the num_entries, which is from the `TBranch`’s `fEntries`. See that method’s documentation for yet more ways the number of entries could, in principle, be inconsistent.

## tree

Inherited from uproot.TTree.

Model_TTree_v16.tree

  Returns `self` because this is a `TTree`.

## compressed_bytes

Inherited from uproot.TTree.

Model_TTree_v16.compressed_bytes

  The number of compressed bytes in all `TBaskets` of all `TBranches` of this `TTree`, including all the TKey headers (which are always uncompressed).

  This information is specified in the `TTree` metadata (`fZipBytes`) and can be determined without reading any additional data.

## uncompressed_bytes

Inherited from uproot.TTree.

Model_TTree_v16.uncompressed_bytes

  The number of uncompressed bytes in all `TBaskets` of all `TBranches` of this `TTree`, including all the TKey headers.

  This information is specified in the `TTree` metadata (`fTotBytes`) and can be determined without reading any additional data.

## compression_ratio

Inherited from uproot.TTree.

Model_TTree_v16.compression_ratio

  The number of uncompressed bytes divided by the number of compressed bytes for this `TTree`.

  See compressed_bytes and uncompressed_bytes.

## aliases

Inherited from uproot.TTree.

Model_TTree_v16.aliases

  The `TTree`’s `fAliases`, which are used as the `aliases` argument to arrays, iterate, uproot.iterate, and uproot.concatenate if one is not given.

  The return type is always a dict of str → str, even if there are no aliases (an empty dict).

## chunk

Inherited from uproot.TTree.

Model_TTree_v16.chunk

  The uproot.source.chunk.Chunk from which this `TTree` was read (as a strong, not weak, reference).

  The reason the chunk is retained is to read embedded_baskets only if necessary (if the file was opened with `options["minimal_ttree_metadata"]=True`, the reading of these `TBaskets` is deferred until they are accessed).

  Holding a strong reference to a chunk holds a strong reference to its uproot.source.chunk.Source, preventing open file handles from going out of scope, but so does the uproot.ReadOnlyFile that `TTree` needs to read data on demand.

## branches

Inherited from uproot.behaviors.TBranch.HasBranches.

Model_TTree_v16.branches

  The list of uproot.TBranch directly under this uproot.TTree or uproot.TBranch (i.e. not recursive).

## show

Inherited from uproot.behaviors.TBranch.HasBranches.

Model_TTree_v16.show(filter_name=<function no_filter>, filter_typename=<function no_filter>, filter_branch=<function no_filter>, recursive=True, full_paths=True, name_width=20, typename_width=24, interpretation_width=30, stream=<_io.TextIOWrapper name='<stdout>' mode='w' encoding='utf-8'>)
  Parameters:

    - filter_name (None, glob string, regex string in `"/pattern/i"` syntax, function of str → bool, or iterable of the above) – A filter to select `TBranches` by name.

    - filter_typename (None, glob string, regex string in `"/pattern/i"` syntax, function of str → bool, or iterable of the above) – A filter to select `TBranches` by type.

    - filter_branch (None or function of uproot.TBranch → bool, uproot.interpretation.Interpretation, or None) – A filter to select `TBranches` using the full uproot.TBranch object. The `TBranch` is included if the function returns True, excluded if it returns False.

    - recursive (bool) – If True, recursively descend into the branches’ branches.

    - full_paths (bool) – If True, include the full path to each subbranch with slashes (`/`); otherwise, use the descendant’s name as the display name.

    - name_width (int) – Number of characters to reserve for the `TBranch` names.

    - typename_width (int) – Number of characters to reserve for the C++ typenames.

    - interpretation_width (int) – Number of characters to reserve for the uproot.interpretation.Interpretation displays.

    - stream (object with a `write(str)` method) – Stream to write the output to.

  Interactively display the `TBranches`.

  For example,

      name                 | typename             | interpretation
      ---------------------+----------------------+-----------------------------------
      event_number         | int32_t              | AsDtype('>i4')
      trigger_isomu24      | bool                 | AsDtype('bool')
      eventweight          | float                | AsDtype('>f4')
      MET                  | TVector2             | AsStridedObjects(Model_TVector2_v3
      jetp4                | std::vector<TLorentz | AsJagged(AsStridedObjects(Model_TL
      jetbtag              | std::vector<float>   | AsJagged(AsDtype('>f4'), header_by
      jetid                | std::vector<bool>    | AsJagged(AsDtype('bool'), header_b

## arrays

Inherited from uproot.behaviors.TBranch.HasBranches.

Model_TTree_v16.arrays(expressions=None, cut=None, filter_name=<function no_filter>, filter_typename=<function no_filter>, filter_branch=<function no_filter>, aliases=None, language=uproot.language.python.PythonLanguage(), entry_start=None, entry_stop=None, decompression_executor=None, interpretation_executor=None, array_cache='inherit', library='ak', how=None)
  Parameters:

    - expressions (None, str, or list of str) – Names of `TBranches` or aliases to convert to arrays or mathematical expressions of them. Uses the `language` to evaluate. If None, all `TBranches` selected by the filters are included.

    - cut (None or str) – If not None, this expression filters all of the `expressions`.

    - filter_name (None, glob string, regex string in `"/pattern/i"` syntax, function of str → bool, or iterable of the above) – A filter to select `TBranches` by name.

    - filter_typename (None, glob string, regex string in `"/pattern/i"` syntax, function of str → bool, or iterable of the above) – A filter to select `TBranches` by type.

    - filter_branch (None or function of uproot.TBranch → bool, uproot.interpretation.Interpretation, or None) – A filter to select `TBranches` using the full uproot.TBranch object. If the function returns False or None, the `TBranch` is excluded; if the function returns True, it is included with its standard interpretation; if an uproot.interpretation.Interpretation, this interpretation overrules the standard one.

    - aliases (None or dict of str → str) – Mathematical expressions that can be used in `expressions` or other aliases (without cycles). Uses the `language` engine to evaluate. If None, only the aliases are available.

    - language (uproot.language.Language) – Language used to interpret the `expressions` and `aliases`.

    - entry_start (None or int) – The first entry to include. If None, start at zero. If negative, count from the end, like a Python slice.

    - entry_stop (None or int) – The first entry to exclude (i.e. one greater than the last entry to include). If None, stop at num_entries. If negative, count from the end, like a Python slice.

    - decompression_executor (None or Executor with a `submit` method) – The executor that is used to decompress `TBaskets`; if None, the file’s decompression_executor is used.

    - interpretation_executor (None or Executor with a `submit` method) – The executor that is used to interpret uncompressed `TBasket` data as arrays; if None, the file’s interpretation_executor is used.

    - array_cache ("inherit", None, MutableMapping, or memory size) – Cache of arrays; if “inherit”, use the file’s cache; if None, do not use a cache; if a memory size, create a new cache of this size.

    - library (str or uproot.interpretation.library.Library) – The library that is used to represent arrays. Options are `"np"` for NumPy, `"ak"` for Awkward Array, and `"pd"` for Pandas.

    - 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=()`).

  Returns a group of arrays from the `TTree`.

  For example:

      >>> my_tree["x"].array()
      <Array [-41.2, 35.1, 35.1, ... 32.4, 32.5] type='2304 * float64'>
      >>> my_tree["y"].array()
      <Array [17.4, -16.6, -16.6, ... 1.2, 1.2, 1.2] type='2304 * float64'>

  See also array to read a single `TBranch` as an array.

  See also iterate to iterate over the array in contiguous ranges of entries.

## iterate

Inherited from uproot.behaviors.TBranch.HasBranches.

Model_TTree_v16.iterate(expressions=None, cut=None, filter_name=<function no_filter>, filter_typename=<function no_filter>, filter_branch=<function no_filter>, aliases=None, language=uproot.language.python.PythonLanguage(), entry_start=None, entry_stop=None, step_size='100 MB', decompression_executor=None, interpretation_executor=None, library='ak', how=None, report=False)
  Parameters:

    - expressions (None, str, or list of str) – Names of `TBranches` or aliases to convert to arrays or mathematical expressions of them. Uses the `language` to evaluate. If None, all `TBranches` selected by the filters are included.

    - cut (None or str) – If not None, this expression filters all of the `expressions`.

    - filter_name (None, glob string, regex string in `"/pattern/i"` syntax, function of str → bool, or iterable of the above) – A filter to select `TBranches` by name.

    - filter_typename (None, glob string, regex string in `"/pattern/i"` syntax, function of str → bool, or iterable of the above) – A filter to select `TBranches` by type.

    - filter_branch (None or function of uproot.TBranch → bool, uproot.interpretation.Interpretation, or None) – A filter to select `TBranches` using the full uproot.TBranch object. If the function returns False or None, the `TBranch` is excluded; if the function returns True, it is included with its standard interpretation; if an uproot.interpretation.Interpretation, this interpretation overrules the standard one.

    - aliases (None or dict of str → str) – Mathematical expressions that can be used in `expressions` or other aliases (without cycles). Uses the `language` engine to evaluate. If None, only the aliases are available.

    - language (uproot.language.Language) – Language used to interpret the `expressions` and `aliases`.

    - entry_start (None or int) – The first entry to include. If None, start at zero. If negative, count from the end, like a Python slice.

    - entry_stop (None or int) – The first entry to exclude (i.e. one greater than the last entry to include). If None, stop at num_entries. If negative, count from the end, like a Python slice.

    - step_size (int or str) – If an integer, the maximum number of entries to include in each iteration step; if a string, the maximum memory size to include. The string must be a number followed by a memory unit, such as “100 MB”.

    - decompression_executor (None or Executor with a `submit` method) – The executor that is used to decompress `TBaskets`; if None, the file’s decompression_executor is used.

    - interpretation_executor (None or Executor with a `submit` method) – The executor that is used to interpret uncompressed `TBasket` data as arrays; if None, the file’s interpretation_executor is used.

    - library (str or uproot.interpretation.library.Library) – The library that is used to represent arrays. Options are `"np"` for NumPy, `"ak"` for Awkward Array, and `"pd"` for Pandas.

    - 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=()`).

    - report (bool) – If True, this generator yields (arrays, uproot.behaviors.TBranch.Report) pairs; if False, it only yields arrays. The report has data about the `TFile`, `TTree`, and global and local entry ranges.

  Iterates through contiguous chunks of entries from the `TTree`.

  For example:

      >>> for array in tree.iterate(["x", "y"], step_size=100):
      ...     # each of the following have 100 entries
      ...     array["x"], array["y"]

  See also arrays to read everything in a single step, without iteration.

  See also uproot.iterate to iterate over many files.

## keys

Inherited from uproot.behaviors.TBranch.HasBranches.

Model_TTree_v16.keys(filter_name=<function no_filter>, filter_typename=<function no_filter>, filter_branch=<function no_filter>, recursive=True, full_paths=True)
  Parameters:

    - filter_name (None, glob string, regex string in `"/pattern/i"` syntax, function of str → bool, or iterable of the above) – A filter to select `TBranches` by name.

    - filter_typename (None, glob string, regex string in `"/pattern/i"` syntax, function of str → bool, or iterable of the above) – A filter to select `TBranches` by type.

    - filter_branch (None or function of uproot.TBranch → bool, uproot.interpretation.Interpretation, or None) – A filter to select `TBranches` using the full uproot.TBranch object. The `TBranch` is included if the function returns True, excluded if it returns False.

    - recursive (bool) – If True, descend into any nested subbranches. If False, only return the names of branches directly accessible under this object.

    - full_paths (bool) – If True, include the full path to each subbranch with slashes (`/`); otherwise, use the descendant’s name as the output name.

  Returns the names of the subbranches as a list of strings.

## values

Inherited from uproot.behaviors.TBranch.HasBranches.

Model_TTree_v16.values(filter_name=<function no_filter>, filter_typename=<function no_filter>, filter_branch=<function no_filter>, recursive=True)
  Parameters:

    - filter_name (None, glob string, regex string in `"/pattern/i"` syntax, function of str → bool, or iterable of the above) – A filter to select `TBranches` by name.

    - filter_typename (None, glob string, regex string in `"/pattern/i"` syntax, function of str → bool, or iterable of the above) – A filter to select `TBranches` by type.

    - filter_branch (None or function of uproot.TBranch → bool, uproot.interpretation.Interpretation, or None) – A filter to select `TBranches` using the full uproot.TBranch object. The `TBranch` is included if the function returns True, excluded if it returns False.

    - recursive (bool) – If True, descend into any nested subbranches. If False, only return branches that are directly accessible under this object.

  Returns the subbranches as a list of uproot.TBranch.

  (Note: with `recursive=False`, this is the same as branches.)

## items

Inherited from uproot.behaviors.TBranch.HasBranches.

Model_TTree_v16.items(filter_name=<function no_filter>, filter_typename=<function no_filter>, filter_branch=<function no_filter>, recursive=True, full_paths=True)
  Parameters:

    - filter_name (None, glob string, regex string in `"/pattern/i"` syntax, function of str → bool, or iterable of the above) – A filter to select `TBranches` by name.

    - filter_typename (None, glob string, regex string in `"/pattern/i"` syntax, function of str → bool, or iterable of the above) – A filter to select `TBranches` by type.

    - filter_branch (None or function of uproot.TBranch → bool, uproot.interpretation.Interpretation, or None) – A filter to select `TBranches` using the full uproot.TBranch object. The `TBranch` is included if the function returns True, excluded if it returns False.

    - recursive (bool) – If True, descend into any nested subbranches. If False, only return (name, branch) pairs for branches directly accessible under this object.

    - full_paths (bool) – If True, include the full path to each subbranch with slashes (`/`) in the name; otherwise, use the descendant’s name as the name without modification.

  Returns (name, branch) pairs of the subbranches as a list of 2-tuples of (str, uproot.TBranch).

## typenames

Inherited from uproot.behaviors.TBranch.HasBranches.

Model_TTree_v16.typenames(filter_name=<function no_filter>, filter_typename=<function no_filter>, filter_branch=<function no_filter>, recursive=True, full_paths=True)
  Parameters:

    - filter_name (None, glob string, regex string in `"/pattern/i"` syntax, function of str → bool, or iterable of the above) – A filter to select `TBranches` by name.

    - filter_typename (None, glob string, regex string in `"/pattern/i"` syntax, function of str → bool, or iterable of the above) – A filter to select `TBranches` by type.

    - filter_branch (None or function of uproot.TBranch → bool, uproot.interpretation.Interpretation, or None) – A filter to select `TBranches` using the full uproot.TBranch object. The `TBranch` is included if the function returns True, excluded if it returns False.

    - recursive (bool) – If True, descend into any nested subbranches. If False, only return (name, typename) pairs for branches directly accessible under this object.

    - full_paths (bool) – If True, include the full path to each subbranch with slashes (`/`) in the name; otherwise, use the descendant’s name as the name without modification.

  Returns (name, typename) pairs of the subbranches as a dict of str → str.

## iterkeys

Inherited from uproot.behaviors.TBranch.HasBranches.

Model_TTree_v16.iterkeys(filter_name=<function no_filter>, filter_typename=<function no_filter>, filter_branch=<function no_filter>, recursive=True, full_paths=True)
  Parameters:

    - filter_name (None, glob string, regex string in `"/pattern/i"` syntax, function of str → bool, or iterable of the above) – A filter to select `TBranches` by name.

    - filter_typename (None, glob string, regex string in `"/pattern/i"` syntax, function of str → bool, or iterable of the above) – A filter to select `TBranches` by type.

    - filter_branch (None or function of uproot.TBranch → bool, uproot.interpretation.Interpretation, or None) – A filter to select `TBranches` using the full uproot.TBranch object. The `TBranch` is included if the function returns True, excluded if it returns False.

    - recursive (bool) – If True, descend into any nested subbranches. If False, only return the names of branches directly accessible under this object.

    - full_paths (bool) – If True, include the full path to each subbranch with slashes (`/`); otherwise, use the descendant’s name as the output name.

  Returns the names of the subbranches as an iterator over strings.

## itervalues

Inherited from uproot.behaviors.TBranch.HasBranches.

Model_TTree_v16.itervalues(filter_name=<function no_filter>, filter_typename=<function no_filter>, filter_branch=<function no_filter>, recursive=True)
  Parameters:

    - filter_name (None, glob string, regex string in `"/pattern/i"` syntax, function of str → bool, or iterable of the above) – A filter to select `TBranches` by name.

    - filter_typename (None, glob string, regex string in `"/pattern/i"` syntax, function of str → bool, or iterable of the above) – A filter to select `TBranches` by type.

    - filter_branch (None or function of uproot.TBranch → bool, uproot.interpretation.Interpretation, or None) – A filter to select `TBranches` using the full uproot.TBranch object. The `TBranch` is included if the function returns True, excluded if it returns False.

    - recursive (bool) – If True, descend into any nested subbranches. If False, only return branches that are directly accessible under this object.

  Returns the subbranches as an iterator over uproot.TBranch.

  (Note: with `recursive=False`, this is the same as branches.)

## iteritems

Inherited from uproot.behaviors.TBranch.HasBranches.

Model_TTree_v16.iteritems(filter_name=<function no_filter>, filter_typename=<function no_filter>, filter_branch=<function no_filter>, recursive=True, full_paths=True)
  Parameters:

    - filter_name (None, glob string, regex string in `"/pattern/i"` syntax, function of str → bool, or iterable of the above) – A filter to select `TBranches` by name.

    - filter_typename (None, glob string, regex string in `"/pattern/i"` syntax, function of str → bool, or iterable of the above) – A filter to select `TBranches` by type.

    - filter_branch (None or function of uproot.TBranch → bool, uproot.interpretation.Interpretation, or None) – A filter to select `TBranches` using the full uproot.TBranch object. The `TBranch` is included if the function returns True, excluded if it returns False.

    - recursive (bool) – If True, descend into any nested subbranches. If False, only return (name, branch) pairs for branches directly accessible under this object.

    - full_paths (bool) – If True, include the full path to each subbranch with slashes (`/`) in the name; otherwise, use the descendant’s name as the name without modification.

  Returns (name, branch) pairs of the subbranches as an iterator over 2-tuples of (str, uproot.TBranch).

## itertypenames

Inherited from uproot.behaviors.TBranch.HasBranches.

Model_TTree_v16.itertypenames(filter_name=<function no_filter>, filter_typename=<function no_filter>, filter_branch=<function no_filter>, recursive=True, full_paths=True)
  Parameters:

    - filter_name (None, glob string, regex string in `"/pattern/i"` syntax, function of str → bool, or iterable of the above) – A filter to select `TBranches` by name.

    - filter_typename (None, glob string, regex string in `"/pattern/i"` syntax, function of str → bool, or iterable of the above) – A filter to select `TBranches` by type.

    - filter_branch (None or function of uproot.TBranch → bool, uproot.interpretation.Interpretation, or None) – A filter to select `TBranches` using the full uproot.TBranch object. The `TBranch` is included if the function returns True, excluded if it returns False.

    - recursive (bool) – If True, descend into any nested subbranches. If False, only return (name, typename) pairs for branches directly accessible under this object.

    - full_paths (bool) – If True, include the full path to each subbranch with slashes (`/`) in the name; otherwise, use the descendant’s name as the name without modification.

  Returns (name, typename) pairs of the subbranches as an iterator over 2-tuples of (str, str).

## num_entries_for

Inherited from uproot.behaviors.TBranch.HasBranches.

Model_TTree_v16.num_entries_for(memory_size, expressions=None, cut=None, filter_name=<function no_filter>, filter_typename=<function no_filter>, filter_branch=<function no_filter>, aliases=None, language=uproot.language.python.PythonLanguage(), entry_start=None, entry_stop=None)
  Parameters:

    - memory_size (int or str) – An integer is interpreted as a number of bytes and a string must be a number followed by a unit, such as “100 MB”.

    - expressions (None, str, or list of str) – Names of `TBranches` or aliases to convert to arrays or mathematical expressions of them. Uses the `language` to evaluate. If None, all `TBranches` selected by the filters are included.

    - cut (None or str) – If not None, this expression filters all of the `expressions`.

    - filter_name (None, glob string, regex string in `"/pattern/i"` syntax, function of str → bool, or iterable of the above) – A filter to select `TBranches` by name.

    - filter_typename (None, glob string, regex string in `"/pattern/i"` syntax, function of str → bool, or iterable of the above) – A filter to select `TBranches` by type.

    - filter_branch (None or function of uproot.TBranch → bool, uproot.interpretation.Interpretation, or None) – A filter to select `TBranches` using the full uproot.TBranch object. The `TBranch` is included if the function returns True, excluded if it returns False.

    - aliases (None or dict of str → str) – Mathematical expressions that can be used in `expressions` or other aliases (without cycles). Uses the `language` engine to evaluate. If None, only the aliases are available.

    - language (uproot.language.Language) – Language used to interpret the `expressions` and `aliases`.

    - entry_start (None or int) – The first entry to include. If None, start at zero. If negative, count from the end, like a Python slice.

    - entry_stop (None or int) – The first entry to exclude (i.e. one greater than the last entry to include). If None, stop at num_entries. If negative, count from the end, like a Python slice.

  Returns an approximate step size as a number of entries to read a given `memory_size` in each step.

  This method does not actually read the `TBranch` data or compute any expressions to arrive at its estimate. It only uses metadata from the already-loaded `TTree`; it only needs `language` to parse the expressions, not to evaluate them.

  In addition, the estimate is based on compressed `TBasket` sizes (the amount of data that would have to be read), not uncompressed `TBasket` sizes (the amount of data that the final arrays would use in memory, without considering `cuts`).

  This is the algorithm that iterate uses to convert a `step_size` expressed in memory units into a number of entries.

## common_entry_offsets

Inherited from uproot.behaviors.TBranch.HasBranches.

Model_TTree_v16.common_entry_offsets(filter_name=<function no_filter>, filter_typename=<function no_filter>, filter_branch=<function no_filter>, recursive=True)
  Parameters:

    - filter_name (None, glob string, regex string in `"/pattern/i"` syntax, function of str → bool, or iterable of the above) – A filter to select `TBranches` by name.

    - filter_typename (None, glob string, regex string in `"/pattern/i"` syntax, function of str → bool, or iterable of the above) – A filter to select `TBranches` by type.

    - filter_branch (None or function of uproot.TBranch → bool, uproot.interpretation.Interpretation, or None) – A filter to select `TBranches` using the full uproot.TBranch object. The `TBranch` is included if the function returns True, excluded if it returns False.

    - recursive (bool) – If True, descend into any nested subbranches. If False, only consider branches directly accessible under this object. (Only applies when `branches=None`.)

  Returns entry offsets in which `TBasket` boundaries align in the specified set of branches.

  If this uproot.TBranch has no subbranches, the output is identical to entry_offsets.

## classname

Inherited from uproot.Model.

Model_TTree_v16.classname

  The C++ (decoded) classname of the modeled class.

  See uproot.classname_decode, uproot.classname_encode, and uproot.model.classname_version.

## encoded_classname

Inherited from uproot.Model.

Model_TTree_v16.encoded_classname

  The Python (encoded) classname of the modeled class. May or may not include version.

  See uproot.classname_decode, uproot.classname_encode, and uproot.model.classname_version.

## class_version

Inherited from uproot.Model.

Model_TTree_v16.class_version

  The version number of the modeled class (int) if any; None otherwise.

  See uproot.classname_decode, uproot.classname_encode, and uproot.model.classname_version.

## cursor

Inherited from uproot.Model.

Model_TTree_v16.cursor

  A cursor pointing to the start of this instance in the byte stream (before read_numbytes_version).

## file

Inherited from uproot.Model.

Model_TTree_v16.file

  A uproot.ReadOnlyFile, which may be open and readable, or a uproot.reading.DetachedFile, which only contains information about the original file (not an open file handle).

## close

Inherited from uproot.Model.

Model_TTree_v16.close()

  Closes the file from which this object is derived, if such a file is still attached (i.e. not uproot.reading.DetachedFile).

## closed

Inherited from uproot.Model.

Model_TTree_v16.closed

  True if the associated file is known to be closed; False if it is known to be open. If the associated file is detached (uproot.reading.DetachedFile), then the value is None.

## parent

Inherited from uproot.Model.

Model_TTree_v16.parent

  The object that was deserialized before this one in recursive descent, usually the containing object (or the container’s container).

## concrete

Inherited from uproot.Model.

Model_TTree_v16.concrete

  The Python instance corresponding to the concrete (instantiated) class in C++, which is `self` if this is the concrete class or another object if this is actually a holder of superclass members for that other object (i.e. if this object is in the other’s bases).

## members

Inherited from uproot.Model.

Model_TTree_v16.members

  A dict of C++ member data directly associated with this class (i.e. not its superclasses). For all members, see all_members.

## all_members

Inherited from uproot.Model.

Model_TTree_v16.all_members

  A dict of C++ member data for this class and its superclasses. For only direct members, see members.

## has_member

Inherited from uproot.Model.

Model_TTree_v16.has_member(name, all=True)

  Returns True if calling member with the same arguments would return a value; False if the member is missing.

## member

Inherited from uproot.Model.

Model_TTree_v16.member(name, all=True, none_if_missing=False)
  Parameters:

    - name (str) – The name of the member datum to retrieve.

    - all (bool) – If True, recursively search all superclasses in bases. Otherwise, search the direct class only.

    - none_if_missing (bool) – If a member datum doesn’t exist in the search path, `none_if_missing=True` has this function return None, but `none_if_missing=False` would have it raise an exception. Note that None is a possible value for some member data.

  Returns a C++ member datum by name.

## bases

Inherited from uproot.Model.

Model_TTree_v16.bases

  List of uproot.Model objects representing superclass data for this object in the order given in C++ (opposite method resolution order).

  - If this object has no superclasses, `bases` is empty.

  - If it has one superclass, which itself might have superclasses, `bases` has length 1.

  - Only if this object multiply inherits from more than one superclass at the same level does `bases` have length greater than 1.

  Since multiple inheritance is usually avoided, `bases` rarely has length greater than 1. A linear chain of superclasses deriving from super-superclasses is represented by `bases` containing an object whose `bases` contains objects.

## base

Inherited from uproot.Model.

Model_TTree_v16.base(*cls)

  Extracts instances from bases by Python class type.

  The `cls` arguments may be Python classes or C++ classname strings to match.

## is_instance

Inherited from uproot.Model.

Model_TTree_v16.is_instance(*cls)

  Returns True if this object matches a given type in the C++ class hierarchy.

  The `cls` arguments may be Python classes or C++ classname strings to match.

## num_bytes

Inherited from uproot.Model.

Model_TTree_v16.num_bytes

  Number of bytes expected in the (uncompressed) serialization of this instance.

  This value may be None (unknown before reading) or an integer.

  If the value is an integer and the object exists (no exceptions in read), then the expected number of bytes agreed with the actual number of bytes, and this numer is reliable.

  If this object is re-serialized, it won’t necessarily occupy the same number of bytes.

## instance_version

Inherited from uproot.Model.

Model_TTree_v16.instance_version

  Version of this instance as read from the byte stream.

  If this model is versioned (uproot.model.VersionedModel), the `instance_version` ought to be equal to the class_version.

  If this model is versionless, the `instance_version` contains new information about the actual version deserialized.

## is_memberwise

Inherited from uproot.Model.

Model_TTree_v16.is_memberwise

  True if the object was serialized in ROOT’s memberwise format; False otherwise.

## awkward_form

Inherited from uproot.Model.

classmethod Model_TTree_v16.awkward_form(file, context)
  Parameters:

    - cls (subclass of uproot.Model) – This class.

    - file (uproot.ReadOnlyFile) – File to use to generate uproot.Model classes from its streamers and `file_path` for error messages.

    - context (dict) – Context for the Form-generation; defaults are the remaining arguments below.

    - index_format (str) – Format to use for indexes of the `awkward.forms.Form`; may be `"i32"`, `"u32"`, or `"i64"`.

    - header (bool) – If True, include headers in the Form’s `"uproot"` parameters.

    - tobject_header (bool) – If True, include headers for `TObject` classes in the Form’s `"uproot"` parameters.

    - breadcrumbs (tuple of class objects) – Used to check for recursion. Types that contain themselves cannot be Awkward Arrays because the depth of instances is unknown.

  The `awkward.forms.Form` to use to put objects of type type in an Awkward Array.

## strided_interpretation

Inherited from uproot.Model.

classmethod Model_TTree_v16.strided_interpretation(file, header=False, tobject_header=True, breadcrumbs=(), original=None)
  Parameters:

    - cls (subclass of uproot.Model) – This class.

    - file (uproot.ReadOnlyFile) – File to use to generate uproot.Model classes from its streamers and `file_path` for error messages.

    - header (bool) – If True, assume the outermost object has a header.

    - tobject_header (bool) – If True, assume that `TObjects` have headers.

    - original (None, uproot.Model, or uproot.containers.Container) – The original, non-strided model or container.

    - breadcrumbs (tuple of class objects) – Used to check for recursion. Types that contain themselves cannot be strided because the depth of instances is unknown.

  Returns a list of (str, `numpy.dtype`) pairs to build a uproot.AsStridedObjects interpretation.

## tojson

Inherited from uproot.Model.

Model_TTree_v16.tojson()

  Serializes this object in its ROOT JSON form (as Python lists and dicts, which can be passed to `json.dump` or `json.dumps`).

## empty

Inherited from uproot.Model.

classmethod Model_TTree_v16.empty()

  Creates a model instance (of subclass `cls`) with no data; all required attributes are None or empty.

## read

Inherited from uproot.Model.

classmethod Model_TTree_v16.read(chunk, cursor, context, file, selffile, parent, concrete=None)
  Parameters:

    - cls (subclass of uproot.Model) – Class to instantiate.

    - chunk (uproot.source.chunk.Chunk) – Buffer of contiguous data from the file uproot.source.chunk.Source.

    - cursor (uproot.Cursor) – Current position in that `chunk`.

    - context (dict) – Auxiliary data used in deserialization.

    - file (uproot.ReadOnlyFile) – An open file object, capable of generating new uproot.Model classes from its streamers.

    - selffile (uproot.reading.CommonFileMethods) – A possibly uproot.reading.DetachedFile associated with this object.

    - parent (None or calling object) – The previous `read` in the recursive descent.

    - concrete (None or uproot.Model instance) – If None, this model corresponds to the concrete (instantiated) class in C++. Otherwise, this model represents a superclass part of the object, and `concrete` points to the concrete instance.

  Creates a model instance by reading data from a file.

## read_numbytes_version

Inherited from uproot.Model.

Model_TTree_v16.read_numbytes_version(chunk, cursor, context)
  Parameters:

    - chunk (uproot.source.chunk.Chunk) – Buffer of contiguous data from the file uproot.source.chunk.Source.

    - cursor (uproot.Cursor) – Current position in that `chunk`.

    - context (dict) – Auxiliary data used in deserialization.

  Reads the number of bytes and instance version from the byte stream, which is usually 6 bytes (4 + 2). Bits with special meanings are appropriately masked out.

  Some types don’t have a 6-byte header or handle it differently; in those cases, this method should be overridden.

## read_members

Inherited from uproot.Model.

Model_TTree_v16.read_members(chunk, cursor, context, file)
  Parameters:

    - chunk (uproot.source.chunk.Chunk) – Buffer of contiguous data from the file uproot.source.chunk.Source.

    - cursor (uproot.Cursor) – Current position in that `chunk`.

    - context (dict) – Auxiliary data used in deserialization.

    - file (uproot.ReadOnlyFile) – An open file object, capable of generating new uproot.Model classes from its streamers.

  Reads the member data for this class. The abstract class uproot.Model has an empty `read_members` method; this must be overridden by subclasses.

## check_numbytes

Inherited from uproot.Model.

Model_TTree_v16.check_numbytes(chunk, cursor, context)
  Parameters:

    - chunk (uproot.source.chunk.Chunk) – Buffer of contiguous data from the file uproot.source.chunk.Source.

    - cursor (uproot.Cursor) – Current position in that `chunk`.

    - context (dict) – Auxiliary data used in deserialization.

  Reads nothing; checks the expected number of bytes against the actual movement of the `cursor` at the end of the object, possibly raising a uproot.DeserializationError exception.

  If num_bytes is None, this method does nothing.

  It is possible that a subclass would override this method, but not likely.

## postprocess

Inherited from uproot.Model.

Model_TTree_v16.postprocess(chunk, cursor, context, file)
  Parameters:

    - chunk (uproot.source.chunk.Chunk) – Buffer of contiguous data from the file uproot.source.chunk.Source.

    - cursor (uproot.Cursor) – Current position in that `chunk`.

    - context (dict) – Auxiliary data used in deserialization.

    - file (uproot.ReadOnlyFile) – An open file object, capable of generating new uproot.Model classes from its streamers.

  Called for any additional processing after the object has been fully read.

  The return value from this method is the object that actually represents the ROOT data, which might be a different instance or even a different type from this class. The default in uproot.Model is to return `self`.

  Note that for versioned models, postprocess is called first, then postprocess is called on its output, allowing a uproot.model.DispatchByVersion to refine all data of its type, regardless of version.

## hook_before_read

Inherited from uproot.Model.

Model_TTree_v16.hook_before_read(**kwargs)

  Called in read, before any data have been read.

## hook_before_read_members

Inherited from uproot.Model.

Model_TTree_v16.hook_before_read_members(**kwargs)

  Called in read, after read_numbytes_version and before read_members.

## hook_after_read_members

Inherited from uproot.Model.

Model_TTree_v16.hook_after_read_members(**kwargs)

  Called in read, after read_members and before check_numbytes.

## hook_before_postprocess

Inherited from uproot.Model.

Model_TTree_v16.hook_before_postprocess(**kwargs)

  Called in read, after check_numbytes and before postprocess.

## to_writable

Inherited from uproot.Model.

Model_TTree_v16.to_writable()
  Parameters:

    obj (uproot.Model instance of the same C++ class) – The object to convert to this class version.

  Returns a writable version of this object or raises a NotImplementedError if no writable version exists.

## serialize

Inherited from uproot.Model.

Model_TTree_v16.serialize(name=None)

  Serialize a object (from num_bytes and version onward) for writing into an output ROOT file.

  If a `name` is given, override the object’s current name.

  This method has not been implemented on all classes (raises NotImplementedError).

## to_pyroot

Inherited from uproot.Model.

Model_TTree_v16.to_pyroot(name=None)
  Parameters:

    name (str or None) – A name for the new PyROOT object.

  Converts this uproot.Model into a PyROOT object if it is writable. A minority of Uproot models are writable, mostly just histograms. Writability is necessary for conversion to PyROOT because it is serialized through a ROOT TMessage.