h5py の API リファレンス

h5py (h5py/h5py) の公開 API 87 件 —— クラス 25、関数 19、メソッド 43。実際のソースを静的解析して抽出した正確なシグネチャを掲載しています。

リポジトリ: h5py/h5py

種別	件数
クラス	25
関数	19
メソッド	43

API 一覧

classapi_gen.Line

Represents one line from the api_functions.txt file.

funcci.fix_paths.main()

Copy HDF5 DLLs into installed h5py package

funcdocs_api.automod.getsig(docstring)

Get (sig, return) from a docstring, or None.

funcdocs_api.automod.replace_param(istr)

Replace parameter lists.

classh5py._hl.attrs.AttributeManager

Allows dictionary-style access to an HDF5 object's attributes.

funch5py._hl.attrs.AttributeManager.iter_cb(name, *args)

Callback to gather attribute names

classh5py._hl.base.Empty

Proxy object to represent empty/null dataspaces (a.k.a H5S_NULL).

classh5py._hl.base.HLObject

Base class for high-level interface objects.

methodh5py._hl.base.HLObject.attrs()

Attributes attached to this object

methodh5py._hl.base.HLObject.id()

Low-level identifier appropriate for this object

methodh5py._hl.base.HLObject.name()

Return the full name of this object.

methodh5py._hl.base.HLObject.parent()

Return the parent group of this object.

methodh5py._hl.base.HLObject.ref()

An (opaque) HDF5 reference to this object

methodh5py._hl.base.HLObject.regionref()

Create a region reference (Datasets only).

classh5py._hl.base.ItemsViewHDF5

Wraps e.g.

classh5py._hl.base.ValuesViewHDF5

Wraps e.g.

funch5py._hl.base.default_lapl()

Default link access property list

funch5py._hl.base.default_lcpl()

Default link creation property list

funch5py._hl.base.is_empty_dataspace(obj)

Check if an object's dataspace is empty

funch5py._hl.compat.filename_decode(filename)

Decode filename used by HDF5 library.

funch5py._hl.compat.filename_encode(filename)

Encode filename for use in the HDF5 library.

classh5py._hl.dataset.AsStrView

Wrapper to decode strings on reading the dataset

classh5py._hl.dataset.AsTypeView

Wrapper to convert data on reading from a dataset.

classh5py._hl.dataset.ChunkIterator

Class to iterate through list of chunks of a given dataset

classh5py._hl.dataset.CollectiveContext

Manages collective I/O in MPI mode

classh5py._hl.dataset.Dataset

Represents an HDF5 dataset

methodh5py._hl.dataset.Dataset.chunks()

Dataset chunks (or None)

methodh5py._hl.dataset.Dataset.compression()

Compression strategy (or None)

methodh5py._hl.dataset.Dataset.compression_opts()

Compression setting.

methodh5py._hl.dataset.Dataset.dtype()

Numpy dtype representing the datatype

methodh5py._hl.dataset.Dataset.external()

External file settings.

methodh5py._hl.dataset.Dataset.fillvalue()

Fill value for this dataset (0 by default)

methodh5py._hl.dataset.Dataset.fletcher32()

Fletcher32 filter is present (T/F)

methodh5py._hl.dataset.Dataset.is_virtual()

Check if this is a virtual dataset

methodh5py._hl.dataset.Dataset.iter_chunks(sel=None)

Return chunk iterator.

methodh5py._hl.dataset.Dataset.len()

The size of the first axis.

methodh5py._hl.dataset.Dataset.scaleoffset()

Scale/offset filter settings.

methodh5py._hl.dataset.Dataset.shuffle()

Shuffle filter present (T/F)

classh5py._hl.dataset.FieldsView

Wrapper to extract named fields from a dataset with a struct dtype

classh5py._hl.datatype.Datatype

Represents an HDF5 named datatype stored in a file.

methodh5py._hl.datatype.Datatype.dtype()

Numpy dtype equivalent for this datatype

classh5py._hl.dims.DimensionManager

Represents a collection of dimension associated with a dataset.

classh5py._hl.dims.DimensionProxy

Represents an HDF5 "dimension".

methodh5py._hl.dims.DimensionProxy.attach_scale(dset)

Attach a scale to this dimension.

methodh5py._hl.dims.DimensionProxy.detach_scale(dset)

Remove a scale from this dimension.

funch5py._hl.dims.DimensionProxy.f(dsid)

Iterate over scales to find a matching name

methodh5py._hl.dims.DimensionProxy.label()

Get or set the dimension scale label

classh5py._hl.files.File

Represents an HDF5 file.

methodh5py._hl.files.File.atomic()

Set/get MPI-IO atomic mode

methodh5py._hl.files.File.attrs()

Attributes attached to this object

methodh5py._hl.files.File.close()

Close the file.

methodh5py._hl.files.File.driver()

Low-level HDF5 file driver used to open file

methodh5py._hl.files.File.filename()

File name on disk

methodh5py._hl.files.File.flush()

Tell the HDF5 library to flush its buffers.

methodh5py._hl.files.File.meta_block_size()

Meta block size (in bytes)

methodh5py._hl.files.File.mode()

Python mode used to open file

methodh5py._hl.files.File.swmr_mode()

Controls single-writer multiple-reader mode

methodh5py._hl.files.File.userblock_size()

User block size (in bytes)

funch5py._hl.files.register_driver(name, set_fapl)

funch5py._hl.files.unregister_driver(name)

Unregister a custom driver.

funch5py._hl.filters.rq_tuple(tpl, name)

Check if chunks/maxshape match dataset rank

classh5py._hl.group.ExternalLink

Represents an HDF5 external link.

methodh5py._hl.group.ExternalLink.path()

Soft link path, i.e.

classh5py._hl.group.Group

Represents an HDF5 group.

method

h5py._hl.group.Group.copy(source, dest, name=None, shallow=False, expand_soft=False, expand_external=False, expand_refs=False, without_attrs=False)

Copy an object or group.

methodh5py._hl.group.Group.create_dataset_like(name, other, **kwupdate)

Create a dataset similar to `other`.

methodh5py._hl.group.Group.create_group(name, track_order=None, *track_times=False)

Create and return a new subgroup.

methodh5py._hl.group.Group.move(source, dest)

Move a link to a new location in the file.

methodh5py._hl.group.Group.visititems_links(func)

Recursively visit links in this group.

classh5py._hl.group.HardLink

Represents a hard link in an HDF5 file.

classh5py._hl.group.SoftLink

Represents a symbolic ("soft") link in an HDF5 file.

methodh5py._hl.group.SoftLink.path()

Soft link value.

classh5py._hl.selections.PointSelection

Represents a point-wise selection.

classh5py._hl.selections.Selection

Base class for HDF5 dataspace selections.

methodh5py._hl.selections.Selection.broadcast(source_shape)

Get an iterable for broadcasting

methodh5py._hl.selections.Selection.id()

SpaceID instance

methodh5py._hl.selections.Selection.nselect()

Number of elements currently selected

methodh5py._hl.selections.Selection.shape()

Shape of whole dataspace

classh5py._hl.selections2.ScalarReadSelection

Implements slicing for scalar datasets.

funch5py._hl.selections2.read_dtypes(dataset_dtype, names)

Returns a 2-tuple containing: 1.

funch5py._hl.selections2.read_selections_scalar(dsid, args)

Returns a 2-tuple containing: 1.

funch5py._hl.selections2.select_read(fspace, args)

Top-level dispatch function for reading.

classh5py._hl.vds.VirtualLayout

Object for building a virtual dataset.

classh5py._hl.vds.VirtualSource

Source definition for virtual data sets.

funch5py.ipy_completer.load_ipython_extension(ip=None)

Load completer function into IPython

funcsetup_configure.load_stashed_config()

Load settings dict from the pickle file

funcsetup_configure.stash_config(dct)

Save settings dict to the pickle file.

この情報について

掲載しているシグネチャは h5py/h5py の公開ソースコードを Python の ast モジュールで静的解析し、引数名・デフォルト値・型注釈・戻り値型をそのまま抽出したものです。実装コードは保存していません。詳しくは仕組みの解説をご覧ください。

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