From 159ef14fb9e198bb0066ea14e6b980f065de63dd Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Picca=20Fr=C3=A9d=C3=A9ric-Emmanuel?= Date: Tue, 31 Jul 2018 16:22:25 +0200 Subject: New upstream version 0.8.0+dfsg --- silx/io/nxdata/write.py | 202 ++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 202 insertions(+) create mode 100644 silx/io/nxdata/write.py (limited to 'silx/io/nxdata/write.py') diff --git a/silx/io/nxdata/write.py b/silx/io/nxdata/write.py new file mode 100644 index 0000000..05eef4d --- /dev/null +++ b/silx/io/nxdata/write.py @@ -0,0 +1,202 @@ +# coding: utf-8 +# /*########################################################################## +# +# Copyright (c) 2017-2018 European Synchrotron Radiation Facility +# +# Permission is hereby granted, free of charge, to any person obtaining a copy +# of this software and associated documentation files (the "Software"), to deal +# in the Software without restriction, including without limitation the rights +# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +# copies of the Software, and to permit persons to whom the Software is +# furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included in +# all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN +# THE SOFTWARE. +# +# ###########################################################################*/ + +import h5py +import os +import logging +import numpy +from silx.third_party import six + +__authors__ = ["P. Knobel"] +__license__ = "MIT" +__date__ = "17/04/2018" + + +_logger = logging.getLogger(__name__) + + +def _str_to_utf8(text): + return numpy.array(text, dtype=h5py.special_dtype(vlen=six.text_type)) + + +def save_NXdata(filename, signal, axes=None, + signal_name="data", axes_names=None, + signal_long_name=None, axes_long_names=None, + signal_errors=None, axes_errors=None, + title=None, interpretation=None, + nxentry_name="entry", nxdata_name=None): + """Write data to an NXdata group. + + .. note:: + + No consistency checks are made regarding the dimensionality of the + signal and number of axes. The user is responsible for providing + meaningful data, that can be interpreted by visualization software. + + :param str filename: Path to output file. If the file does not + exists, it is created. + :param numpy.ndarray signal: Signal array. + :param List[numpy.ndarray] axes: List of axes arrays. + :param str signal_name: Name of signal dataset, in output file + :param List[str] axes_names: List of dataset names for axes, in + output file + :param str signal_long_name: *@long_name* attribute for signal, or None. + :param axes_long_names: None, or list of long names + for axes + :type axes_long_names: List[str, None] + :param numpy.ndarray signal_errors: Array of errors associated with the + signal + :param axes_errors: List of arrays of errors + associated with each axis + :type axes_errors: List[numpy.ndarray, None] + :param str title: Graph title (saved as a "title" dataset) or None. + :param str interpretation: *@interpretation* attribute ("spectrum", + "image", "rgba-image" or None). This is only needed in cases of + ambiguous dimensionality, e.g. a 3D array which represents a RGBA + image rather than a stack. + :param str nxentry_name: Name of group in which the NXdata group + is created. By default, "/entry" is used. + + .. note:: + + The Nexus format specification requires for NXdata groups + be part of a NXentry group. + The specified group should have attribute *@NX_class=NXentry*, in + order for the created file to be nexus compliant. + :param str nxdata_name: Name of NXdata group. If omitted (None), the + function creates a new group using the first available name ("data0", + or "data1"...). + Overwriting an existing group (or dataset) is not supported, you must + delete it yourself prior to calling this function if this is what you + want. + :return: True if save was successful, else False. + """ + if h5py is None: + raise ImportError("h5py could not be imported, but is required by " + "save_NXdata function") + + if axes_names is not None: + assert axes is not None, "Axes names defined, but missing axes arrays" + assert len(axes) == len(axes_names), \ + "Mismatch between number of axes and axes_names" + + if axes is not None and axes_names is None: + axes_names = [] + for i, axis in enumerate(axes): + axes_names.append("dim%d" % i if axis is not None else ".") + if axes is None: + axes = [] + + # Open file in + if os.path.exists(filename): + errmsg = "Cannot write/append to existing path %s" + if not os.path.isfile(filename): + errmsg += " (not a file)" + _logger.error(errmsg, filename) + return False + if not os.access(filename, os.W_OK): + errmsg += " (no permission to write)" + _logger.error(errmsg, filename) + return False + mode = "r+" + else: + mode = "w-" + + with h5py.File(filename, mode=mode) as h5f: + # get or create entry + if nxentry_name is not None: + entry = h5f.require_group(nxentry_name) + if "default" not in h5f.attrs: + # set this entry as default + h5f.attrs["default"] = _str_to_utf8(nxentry_name) + if "NX_class" not in entry.attrs: + entry.attrs["NX_class"] = u"NXentry" + else: + # write NXdata into the root of the file (invalid nexus!) + entry = h5f + + # Create NXdata group + if nxdata_name is not None: + if nxdata_name in entry: + _logger.error("Cannot assign an NXdata group to an existing" + " group or dataset") + return False + else: + # no name specified, take one that is available + nxdata_name = "data0" + i = 1 + while nxdata_name in entry: + _logger.info("%s item already exists in NXentry group," + + " trying %s", nxdata_name, "data%d" % i) + nxdata_name = "data%d" % i + i += 1 + + data_group = entry.create_group(nxdata_name) + data_group.attrs["NX_class"] = u"NXdata" + data_group.attrs["signal"] = _str_to_utf8(signal_name) + if axes: + data_group.attrs["axes"] = _str_to_utf8(axes_names) + if title: + # not in NXdata spec, but implemented by nexpy + data_group["title"] = title + # better way imho + data_group.attrs["title"] = _str_to_utf8(title) + + signal_dataset = data_group.create_dataset(signal_name, + data=signal) + if signal_long_name: + signal_dataset.attrs["long_name"] = _str_to_utf8(signal_long_name) + if interpretation: + signal_dataset.attrs["interpretation"] = _str_to_utf8(interpretation) + + for i, axis_array in enumerate(axes): + if axis_array is None: + assert axes_names[i] in [".", None], \ + "Axis name defined for dim %d but no axis array" % i + continue + axis_dataset = data_group.create_dataset(axes_names[i], + data=axis_array) + if axes_long_names is not None: + axis_dataset.attrs["long_name"] = _str_to_utf8(axes_long_names[i]) + + if signal_errors is not None: + data_group.create_dataset("errors", + data=signal_errors) + + if axes_errors is not None: + assert isinstance(axes_errors, (list, tuple)), \ + "axes_errors must be a list or a tuple of ndarray or None" + assert len(axes_errors) == len(axes_names), \ + "Mismatch between number of axes_errors and axes_names" + for i, axis_errors in enumerate(axes_errors): + if axis_errors is not None: + dsname = axes_names[i] + "_errors" + data_group.create_dataset(dsname, + data=axis_errors) + if "default" not in entry.attrs: + # set this NXdata as default + entry.attrs["default"] = nxdata_name + + return True -- cgit v1.2.3