# Release Notes

## Contents

# Release Notes#

## v0.16.4 (September 2022)#

### Bugfixes#

Fix missing support for comparison for spatial dtypes such as

`affine_transform3`

#2821.Fix

`scipp.spatial.rotations()`

to support creation of quaternion arrays with more than 1 dimension #2822.

## v0.16.2 (August 2022)#

### Bugfixes#

Fix for

`pythreejs-2.4.0`

.Fix ipython display for

`ipywidgets>=8`

## v0.16.0 (August 2022)#

### Features#

`scipp.Bins.concat()`

now supports concatenation of all dims, with`da.bins.concat()`

#2726.Added support for calling

`scipp.arange()`

with strings to create datetime ranges #2729.

### Breaking changes#

### Bugfixes#

Binary arithmetic operations such as

`x + x`

of`x * x`

, i.e., with both operands the same, now handle correlations correctly and result in the correct variances in the output #2709.Made

`__sizeof__`

and related functions more accurate #2705.1-D entries with identical dimensions but different coordinate units are no longer plotted on the same axes #2728.

Fixed size estimates for slices of binned variables #2719.

`Coords`

and other dict-like types now raise exceptions when modifying during iteration instead of causing a segfault #2719.Data arrays with missing coords can now be plotted using the experimental plotting #2748.

Fix a bug in the argument detection when using setitem in combination with value-based slicing #2750.

Fixed broken profile plot on 3-D data #2746.

Fixed broken boolean-indexing and sort operations on arrays that contain binned data #2759.

`transform_coords`

now works with datasets with only coordinates but no data #2755.Fixed a bug when using

`scipp.hist()`

on a Dataset that contains binned data #2764.Fixed the

`rename`

methods to also rename bin coords and attrs of binned data #2774.Fixed the

`rename_dims`

methods which failed to check for conflicting bin-edge coords of length 2 failling outside the object’s dimensions #2775.

### Performance#

Advanced indexing is now much faster.

Sorting is now much faster.

### Contributors#

Simon Heybrock ^{a},
Neil Vaytet ^{a},
and Jan-Lukas Wynen ^{a}

## v0.15.0 (July 2022)#

### Features#

Added conversion from Scipp objects to Xarray objects (previously only converting from Xarray to Scipp was available) #2624.

Added option for a more compact string format of variables #2625.

Overhauled and streamlined usability of functions related to binning, grouping, and histogramming with additional features such as automatic bin edges and histogramming ignoring NaN values. See

`scipp.bin()`

,`scipp.group()`

,`scipp.hist()`

,`scipp.nanhist()`

, and`scipp.rebin()`

#2633.Added support for histogramming and binning variables, in addition to existing support for data arrays #2678.

Added keyword argument syntax to

`scipp.transform_coords()`

for more concise user experience in simple single-step transformations #2670.Generalized

`scipp.lookup()`

to also support non-histogram functions for value lookup, with supported modes “previous” and “nearest”. Also adding support for custom fill values #2681.Added possibility to pass keyword arguments to

`rename_dims`

, matching the signature of`rename`

#2689.Python’s builtin conversion to “bool” using

`__bool__`

is now supported for 0-D boolean variables. This makes the results of comparison usable with`assert`

or`if`

#2695.

### Breaking changes#

`scipp.optimize.curve_fit()`

now raises`ValueError`

if the input variance contains a 0 #2620.Replaced the widget-based

`scipp.table()`

viewer with a simpler pure-HTML table #2613.`scipp.flatten()`

now drops mismatching bin edge coordinates instead of raising a`BinEdgeError`

#2652.The

`targets`

argument of`scipp.transform_coords()`

is not position-only #2670.`scipp.lookup()`

now uses NaN as fill value for floating-point valued functions (for points out of bounds or masked points).Integral-valued functions are unchanged (using 0 as before). See also new argument for custom fill values #2681.

### Bugfixes#

Fix bug where coordinates in were dropped by

`scipp.transform_coords()`

with`keep_*=False`

even through they were specified as`targets`

#2642.Fix segmentation fault in

`scipp.bin()`

when binning in 2 or more dimensions with certain coordinate values #2644.Fix issue with events close to upper or lower bin bounds getting dropped by

`scipp.bin()`

and`scipp.histogram()`

when binning with edges that form a “linspace” #2644.Fix minor issue with events close to bin bounds getting assigned to the wrong bin by

`scipp.bin()`

and`scipp.histogram()`

when binning with edges that form a “linspace” #2644.Fix issues with copying binned structured data or fields of binned structured data #2650.

Fix various missing dimension and/or shape checks when slicing with a condition variable #2657.

Fix serious bug in

`scipp.bin()`

that was introduced in scipp-0.12.0. This corrupts data when binning into more than 65536 at a time #2680.Fix issue in

`scipp.lookup()`

, which led to ignored masks in case of integral function values with non-linspace coordinates #2681.Fix reduction operations of 0-D binned data, which previously returned the input unchanged #2685.

### Documentation#

Remove two ancient tutorials.

### Deprecations#

The

`histogram`

function is deprecated. The new`scipp.hist()`

can replace it in most cases, otherwise`scipp.binning.make_histogrammed()`

provides the old functionality #2633.The

`bins`

,`edges`

, and`erase`

keyword arguments of`scipp.bin()`

are deprecated.`scipp.bin()`

and`scipp.group()`

can replace it in most cases, otherwise`scipp.binning.make_binned()`

provides the old functionality #2633.

### Stability, Maintainability, and Testing#

### Contributors#

Simon Heybrock ^{a},
Gregory Tucker ^{a},
Neil Vaytet ^{a},
and Jan-Lukas Wynen ^{a}

## v0.14.0 (May 2022)#

### Features#

Added argument max_rows to

`scipp.table()`

#2526.Added support for converting scalars to builtin objects via

`int()`

and`float()`

#2529.Reduced time of initial import of scipp by delaying imports of optional dependencies #2535.

Added an

`update`

method to`Coords`

,`Attrs`

,`Masks`

, and`Dataset`

#2558.Support

`dtype=vector3`

in`scipp.isinf()`

and`scipp.isfinite()`

#2593.Added support for passing any dict-like objects or iterables of tuples as

`coords`

,`attrs`

, and`masks`

arguments to initializers of`scipp.DataArray`

and`scipp.Dataset`

#2603.Added support for passing any dict-like objects or iterables of tuples as the

`data`

argument to the initializer of`scipp.Dataset`

#2603.Added support for

`DataArray`

and`Dataset`

in more reduction operations (e.g.`scipp.max()`

) #2600.Added support for masks in reductions of binned data #2608.

Added more reduction operations to the

`.bins`

property (e.g.`scipp.Bins.max()`

) #2608.Reduce effect of rounding errors when converting units #2607.

### Breaking changes#

Changed

`scipp.Variable.dims()`

and`scipp.Variable.shape()`

and corresponding properties in DataArray and Dataset to return tuples 2543.`scipp.scalar()`

and`scipp.index()`

now require keyword arguments for all but the`value`

argument and`scipp.vector()`

can take`value`

positionally 2585.Removed

`out`

argument from reduction operations (e.g.`scipp.sum()`

) 2591.`scipp.datetime()`

and`scipp.datetimes()`

now raise an error if a datetime string with timezone information is provided. Previously this was a`DeprecationWarning`

from NumPy 2604.Replaced the widget-based

`scipp.table()`

viewer with a simpler pure-HTML table #2613.

### Bugfixes#

Fix

`scipp.isclose()`

and`scipp.allclose()`

to support arguments without a unit #2528.`scipp.to_unit()`

avoids a rounding problem when converting datetimes. This previously led to errors, e.g., of about 300 nanoseconds when converting a current (2020s) datetime64 from seconds to nanoseconds #2533.Fix handling of keyword arguments in

`scipp.optimize.curve_fit()`

. They were previously checked for conflicts but otherwise ignored #2545.Fix a segmentation fault in

`scipp.bin()`

when grouping by a variable with 0 elements #2590.Fix

`scipp.nanmean()`

for`dtype=vector3`

. Previously this did not ignore NaN elements as it should.`scipp.isnan()`

is affected by the same fix. Previously it always returned`False`

for`dtype=vector3`

#2593.

### Documentation#

Added new tutorial:

*RHESSI Solar Flares*2536.Added new tutorial:

*From tabular data to binned data*2580.Added documentation of our docstring format 2546.

Configured docs builds to enable plots generated by docstrings and added a custom extension to automate usage of the matplotlib plot directive 2609.

### Contributors#

Simon Heybrock ^{a},
Neil Vaytet ^{a},
and Jan-Lukas Wynen ^{a}

## v0.13.1 (April 2022)#

### Bugfixes#

Fix exception in

`scipp.islinspace()`

for dtypes other than float64 #2523.

## v0.13.0 (March 2022)#

### Features#

Added

`is_edges`

method to`coords`

,`attrs`

,`masks`

, and`meta`

properties of DataArray and Dataset #2469.Added support for arithmetic of

`scipp.DataArray`

and`scipp.Dataset`

with builtin`int`

and`float`

#2473.Added advanced indexing support: integer array indexing #2502.

Added advanced indexing support: boolean variable indexing #2477.

Added or exposed to Python more functions for boolean logic #2480, #2489.

`broadcast`

now supports`scipp.DataArray`

, and the`sizes`

argument #2488.The output of

`squeeze()`

is no longer read-only 2494.Added support for spatial dtypes to

`scipp.to_unit()`

and`scipp.isclose()`

#2498.

### Breaking changes#

Changed format of scipp native HDF5 files to allow for UTF-8 characters in coord names; migration script:

`tools/migration/scipp-0.13-hdf5-files.py`

#2463.

### Bugfixes#

Fix permissions error for configuration file where users do not have write access to their config dir #2482.

Fix plotting of data with multi-dimension bin-edge coordinate in the presence of a mask that does not depend on the bin-edge dimension #2505.

Fix incorrect axis labels in plots with datetime tick labels #2507.

Fix segfault when calling

`scipp.GroupByDataArray.copy()`

or`scipp.GroupByDataset.copy()`

with out of bounds index #2511.

### Contributors#

Simon Heybrock ^{a},
Neil Vaytet ^{a},
and Jan-Lukas Wynen ^{a}

## v0.12.1 (February 2022)#

### Bugfixes#

Fix a plotting bug when 2d data has masks and a coord with no unit #2470.

### Contributors#

Simon Heybrock ^{a},
Neil Vaytet ^{a},
and Jan-Lukas Wynen ^{a}

## v0.12.0 (February 2022)#

### Features#

Added support for

`abs()`

to`scipp.DataArray`

,`scipp.Dataset`

,`scipp.Variable`

#2382.`scipp.bin()`

will now also look at attributes to perform the binning, instead of only looking at the coordinates #2388.Added

`scipp.squeeze()`

to remove length-1 dimensions #2385.Switched to new system for runtime configuration, see the corresponding section in the reference documentation #2389.

Added

`scipp.midpoints()`

which can be used to compute bin-centers #2404.`scipp.fold()`

now supports`-1`

for one of the dimension sizes, to indicate automatic shape #2414.Added

`quiet`

argument to`scipp.transform_coords()`

#2420.Added support for strides for positional slicing. Negative strides are not supported for now #2423.

`scipp.zeros_like()`

,`scipp.ones_like()`

,`scipp.empty_like()`

, and`scipp.full_like()`

now accept and return data arrays #2425.Added the

`.rename`

method to`scipp.Variable`

,`scipp.DataArray`

, and`scipp.Dataset`

that renames both dimensions and coords/attrs at the same time #2428.

### Breaking changes#

The configuration option

`config['plot']['padding']`

is now called`config['plot']['bounding_box']`

, no action is required if it was never modified #2389.`scipp.rebin()`

now applies masks that depend on the rebinning dimension to avoid “growing” effect on masks which previously resulted in masking more than intended #2383.The

`unit`

attribute now distinguishes`None`

from`dimensionless`

#2395 and #2417.For number-like dtypes the default is

`dimensionless`

(unchanged) whereas all other dtypes such as strings default to`None`

(new).`bool`

(used for masks) is not considered number-like and the default unit is`None`

.Comparison operator results now use

`None`

as unit of their output.When integers without unit are used as indices, the new

`scipp.index()`

can be used to create a scalar variable without unit.

`scipp.spatial.rotations_from_rotvecs()`

has been changed to taking a variable input rather than separate values/dims/units.`scipp.NotFoundError`

error has been replaced with`KeyError`

in Python #2416.Some functions now raise

`scipp.DimensionError`

instead of`scipp.NotFoundError`

#2416.

### Bugfixes#

Fix

`scipp.full()`

, which previously converted or attempted to convert all values to`float64`

unless the`dtype`

was specified explicitly #2395.Fix

`scipp.transform_coords()`

for sliced binned data, used to raise an exception #2406.Fix 1d plots y-axis limits when toggling log-scale with buttons and fix 2d plot colorbar when Inf values #2426.

Fix bug leading to datasets dims/shape modification after failed item insertion #2437.

Fix a plotting bug when 2d data has y coord associated with dimension x #2446.

Fix plotting with custom tick labels of

`dtype=datetime64`

which previously raised an exception #2449.

### Contributors#

Simon Heybrock ^{a},
Neil Vaytet ^{a},
Tom Willemsen ^{b, c},
and Jan-Lukas Wynen ^{a}

## v0.11.0 (January 2022)#

### Features#

Added new datatypes for representing spatial transformations:

`affine_transform3`

,`rotation3`

, and`translation3`

. Each of these can be combined and applied to the existing vector datatype.Added support for slicing without specifying a dimension (only for 1-D objects) #2321.

Added

`scipp.interpolate.interp1d()`

as convenience wrapper of the scipy functions of the same name #2324.Added

`scipp.integrate.trapezoid()`

and`scipp.integrate.simpson()`

as convenience wrappers of the scipy functions of the same name #2324.Added

`unit`

property to`obj.bins`

for getting and setting unit of bin elements #2330.Added

`scipp.optimize.curve_fit()`

as convenience wrappers of the scipy function of the same name #2350.Added

`scipp.signal.butter()`

and`scipp.signal.sosfiltfilt()`

as wrappers of the scipy functions of the same name #2356.Added

`scipp.Variable.to()`

and`scipp.DataArray.to()`

as a convenience function for simultaneously converting dtype and units.Added

`scipp.datetime()`

,`scipp.datetimes()`

, and`scipp.epoch()`

to conveniently construct variables containing datetimes #2360.Added

`camera`

option for 3-D scatter plots to control camera position and the point the camera is looking at #2361.Allow more interoperability between

`scipp.DType`

and other ways of encoding dtypes #2373.

### Breaking changes#

Minor change in behavior of dimension renaming in

`transform_coords`

, new behavior documented in Coordinate transformations. Most use cases are unaffected. #2319.`sc.spatial.transform.as_rotvec`

has been moved to`scipp.spatial.rotation_as_rotvec()`

`sc.spatial.transform.from_rotvec`

has been moved to`scipp.spatial.rotations_from_rotvecs()`

, and now returns a rotation data type rather than a matrix. For consistency with other transformation creation functions,`rotations_from_rotvecs`

now takes`values`

,`dims`

, and`unit`

separately.The matrix dtype

`matrix_3_float64`

has been renamed to`linear_transform3`

, and should now be constructed with`scipp.spatial.linear_transform()`

.The vector dtype

`vector_3_float64`

has been renamed to`vector3`

.Scipp’s logger is no longer preconfigured, this has to be done by the user #2372.

Data types are now attributes of the

`scipp.DType`

class and the`scipp.dtype`

module has been removed #2373.

### Bugfixes#

Fix coordinate and attribute comparisons to treat NaN (not-a-number) values as equal, which previously prevented most operations with data arrays or datasets that contained NaN values in their coordinates or attributes #2331.

Fix incorrect result from

`sc.bin`

when rebinning an inner dimension to a multi-dimensional coordinate #2355.

### Deprecations#

`sc.matrix`

and`sc.matrices`

have been deprecated in favour of`scipp.spatial.linear_transform()`

and`scipp.spatial.linear_transforms()`

, and will be removed in a future release of scipp.The previously deprecated

`concatenate`

and`groupby(..).concatenate`

have been removed. Use`scipp.concat()`

and`scipp.GroupByDataArray.concat()`

instead.

### Contributors#

Simon Heybrock ^{a},
Neil Vaytet ^{a},
Tom Willemsen ^{b, c},
and Jan-Lukas Wynen ^{a}

## v0.10.0 (December 2021)#

### Features#

### Bugfixes#

Fix kernel crash or poor performance when using

`bin`

or`da.bins.concat`

along an inner dimension in the presence of a long outer dimension #2278.Improved the rendering of cut slices in 3d plots where some strange artifacts could appear depending on the order in which the pixels were being drawn #2287.

### Deprecations#

The deprecated

`events`

property has been removed.

### Stability, Maintainability, and Testing#

### Contributors#

Simon Heybrock ^{a},
Neil Vaytet ^{a},
Tom Willemsen ^{b, c},
and Jan-Lukas Wynen ^{a}

## v0.9.0 (November 2021)#

### Features#

Added

`erf`

and`erfc`

functions #2195.Reduction operations such as

`sum`

,`nansum`

, and`cumsum`

of single precision (float32) data now use double precision (float64) internally to reduce rounding errors #2218.Added

`bins_like`

for broadcasting dense variables to binned variables, e.g., for converting bin coordinates into event coordinates #2225.`groupby`

now also supports grouping by attributes instead of just by coordinates #2227.Added

`concat`

to replace`concatenate`

. In contrast to the now deprecated`concatenate`

,`concat`

supports concatenation of lists of objects instead of just two objects #2232.Added

`dim`

property to`Variable`

and`DataArray`

#2251.Added preconfigured logging support including a widget for output to notebooks #2255, #2267.

Added

`reduce`

for setting up reductions across a list of inputs #2267.Added toggle buttons for hiding/showing the 3d axes and outline box in 3d plots #2265.

### Breaking changes#

### Bugfixes#

Fix bugs in

`rebin`

if data and/or edges had strides other than 1 along rebinned dimension, typically only occurring with multi-dimensional (ragged) coordinates #2211.Fix exception that was thrown when importing empty datasets from HDF5 files using

`open_hdf5`

#2216.Fix exception in

`astype`

when called with binned data that does not require conversion #2222.Fix bug in

`concatenate`

that could lead to masks being shared with input rather than being copied #2232.Fix exception in

`bin`

when binning in a new dimension but with an existing bin coord #2237.Fix exception when plotting data with masks in presence of multi-dimensional coords #2269.

### Deprecations#

`concatenate`

and`groupby(..).concatenate`

are deprecated. Use`concat`

and`groupby(..).concat`

instead.

### Stability, Maintainability, and Testing#

More thorough unit testing for low-level code underlying most operations on dense as well as binned data #1900, by Jan-Lukas Wynen.

Switch to Jupyter Book theme for documentation, avoiding a number of issues with the RTD theme #2233, by Neil Vaytet.

Added benchmark suite to allow for identification of performance regressions, by Samuel Jones.

Added code coverage tooling to allow for identification of dark spots in our test coverage, by Simon Heybrock.

### Contributors#

Owen Arnold ^{b, c},
Simon Heybrock ^{a},
Samuel Jones ^{b},
Neil Vaytet ^{a},
Tom Willemsen ^{b, c},
and Jan-Lukas Wynen ^{a}

## v0.8.3 (September 2021)#

### Bugfixes#

Fix serious correctness bug in

`groupby.sum`

and`groupby.mean`

#2200.

## v0.8.0 (September 2021)#

### Features#

Added

`sizes`

argument to`zeros`

,`ones`

, and`empty`

variable creation functions #1951.Slicing syntax now supports ellipsis, e.g.,

`da.data[...] = var`

#1961.Added bound method equivalents to many free functions which take a single Variable or DataArray #1969.

Variables can now be constructed directly from multi dimensional lists and tuples #1977.

Plotting 1-D event data is now supported #2018.

Add

`transform_coords`

for (multi-step) transformations based on existing coords, with support of event coords #2058.Add

`from_pandas`

and`from_xarray`

for conversion of pandas dataframes, xarray data arrays and dataset to scipp objects #2054.Added

`full`

and`full_like`

variable creation functions #2069.`islinspace`

can now take multi-dimensional variables as long as you pass the dimension to be checked #2094.Added a power function and support for the

`**`

operator #2083.Binned data now has a

`mean`

method as well as`sum`

, which returns the mean of each element within a bin.Add

`scipp.constants`

module for physical constants #2101.Add

`scipp.spatial.transform`

module providing`from_rotvec`

and`as_rotvec`

#2102.Add

`cross`

function to complementing existing`dot`

function #2109.The

`fields`

property of structured variables (vector and matrix dtypes) can now be iterated and provides dict-like access #2116.Add

`where`

function.Unary operations such as

`sin`

are now available for datasets as well #2112.Add rounding functions

`floor`

,`ceil`

, and`round`

that performs similarly to numpy equivelants #2147.

### Breaking changes#

Changed names of arithmetic functions to match numpy’s names:

`plus`

→`scipp.add()`

,`minus`

→`scipp.subtract()`

,`times`

→`scipp.multiply()`

#1999.Changed Variable init method, all arguments are keyword-only, special overloads which default-initialize data were removed #1994.

The

`axes`

keyword arg of`plot`

has been removed. Use`labels`

to define labels and`transpose`

to transpose instead #2018.The

`redraw`

method of plots does not support replacing data variables of data arrays any more, but only updates of data values #2018.Made most arguments of

`DataArray`

and`Dataset`

constructors keyword-only #2008.Made arguments of many functions keyword-only, e.g. constructors of

`DataArray`

and`Dataset`

,`bin`

, and`atan2`

#1983, #2008, #2012.`astype`

and`to_unit`

now copy the input by default even when no transformation is required, use the new`copy`

argument to avoid #2016.`rename_dims`

does not rename dimension-coords any more, only dims will be renamed #2058.`rename_dims`

does not modify the input anymore but returns a new object with renamed dims #2058.`issorted`

and`islinspace`

return a variable of type boolean instead of a boolean #2094.Multi-dimensional coordinates are no longer associated with their inner dimension, which affects the behavior when slicing: Such coords will no longer be turned into attributes during a slice operation on the inner dimension #2098.

`buckets.map(histogram, da.data, 'time')`

has been replaced by`lookup(histogram, 'time')[da.bins.coords['time']]`

#2112.`rebin`

and`histogram`

now support any unit.`plot()`

guesses which resampling mode to use and provides a button to toggle this #2180.

### Bugfixes#

### Deprecations#

The

`events`

property is deprecated and is scheduled for removal with v0.9.

### Contributors#

Owen Arnold ^{b, c},
Simon Heybrock ^{a},
Samuel Jones ^{b},
Greg Tucker ^{a},
Neil Vaytet ^{a},
Tom Willemsen ^{b, c},
and Jan-Lukas Wynen ^{a}

## v0.7.2 (September 2021)#

### Bugfixes#

Fix serious correctness bug in

`groupby.sum`

and`groupby.mean`

#2200.

## v0.7.0 (June 2021)#

### Features#

Licence changed from GPLv3 to BSD-3-Clause.

Can now control the position and visibility of the legend in 1d plots with

`plot(da, legend={"show": True, "loc": 4})`

#1790.Added

`zeros_like`

,`ones_like`

and`empty_like`

functions #1864.`sort`

is now considerably faster for data with more rows #1872.Added numpy-like

`linspace`

,`logspace`

,`geomspace`

, and`arange`

variable creation functions #1871.`to_unit`

now supports binned data #1841.`broadcast`

now returns a view instead of copying #1861.`fold`

now returns a view instead of copying #1861.`fold`

now works for binned data #1861.`flatten`

now returns a view of the input buffer if the input data is contiguous #1861.Add

`redraw`

method to plot which enables an easy update on a figure when the underlying data has been modified #1907.Several improvements for work with (3-D position) vectors and (3-D rotation) matrices #1905:

Add creation functions

`vector`

,`vectors`

,`matrix`

,`matrices`

.Direct creation and initialization of 2-D (or higher) arrays of matrices and vectors is now possible from numpy arrays.

Fix extremely slow initialization of array of vectors or matrices from numpy arrays.

The

`values`

property now returns a numpy array with`ndim+1`

(vectors) or`ndim+2``

(matrices) axes, with the inner 1 (vectors) or 2 (matrices) axes corresponding o the vector or matrix axes.Vector or matrix element can now be accessed and modified directly using the new

`fields`

property of`Variable`

. The`fields`

property provides properties`x`

,`y`

,`z`

(for variables containing vectors) or`xx`

,`xy`

, …,`zz`

(for matrices) that can be read as well as set.

Reduction operations such as

`sum`

and`mean`

are now also multi-threaded and thus considerably faster #1923.

### Bugfixes#

Profile plots are no longer disabled for binned data with only a single bin in the 3rd dimension #1936.

### Breaking changes#

Scipp’s data structures now behave mostly like normal nested Python objects, i.e., copies are shallow by default #1823.

`filter`

and`split`

removed. Identical functionality can be achieved using`groupby`

and/or slicing.`reshape`

has been removed. Use`fold`

and`flatten`

instead #1861.`geometry.x`

,`geometry.y`

, and`geometry.z`

have been removed. Use the`Variable.fields`

property instead #1925.

### Contributors#

Owen Arnold ^{b, c},
Simon Heybrock ^{a},
Matthew D. Jones ^{b, c},
Neil Vaytet ^{a},
and Jan-Lukas Wynen ^{a}

## v0.6.1 (April 2021)#

### Bugfixes#

`map`

and`scale`

operations as well as`histogram`

for binned data now also work with`datetime64`

#1834.`bin`

now works on previously binned data with 2-D edges, even if the outer dimensions(s) are not rebinned #1836.`bin`

and`histogram`

now work with`int32`

-valued coordinates and support binning with`int64`

- or`int32`

-valued bin edges.

## v0.6.0 (March 2021)#

### Features#

Add

`sizes`

properties, an ordered`dict`

to lookup the size of a specific dimension #1636.Add access to data, coords, attrs, and masks of bins via the

`bins`

property, e.g.,`obj.bins.coords['x']`

#1752.Add more functions for data arrays that were previously available only for variables #1638 #1660.

Add named versions of operators such as

`logical_and`

#1660.Add

`to_unit`

to converter variables, e.g., between`m`

and`mm`

#1756.Add modulo operations #1660.

Add scaling operations for Variables of type

`vector_3_float64`

.`sum`

and`mean`

implemented for Variables of type`vector_3_float64`

.Add

`fold`

and`flatten`

which allow to reshape dimensions of a Variable or DataArray #1676.It is now possible to reshape a Variable also with

`sc.reshape(var, sizes={'x': 2, 'y': 3})`

, in addition to`sc.reshape(var, dims=['x', 'y'], shape=(2, 3))`

.Add

`ones`

and`empty`

creation functions, similar to what is known from numpy #1732.`scipp.neutron`

has been removed and is replaced by scippneutron`scipp.neutron`

(now`scippneutron`

)`isclose`

added (`is_approx`

removed). Fuzzy data comparison`isclose`

is an analogue to numpy’s`isclose`

`stddevs`

added #1762.Support for datetime

### Breaking changes#

The

`plot`

module has been renamed to`plotting`

, and plotting is now achieved via`sc.plot(data)`

. Wrapper functions`superplot`

,`image`

, and`scatter3d`

have been dropped #1696.Properties

`dim`

,`begin`

,`end`

, and`data`

of the`bins`

property of and object are now accessible as a dict via`obj.bins.constituents`

.`scipp.neutron`

has been removed and is replaced by scippneutron`scipp.neutron`

(now`scippneutron`

)`is_equal`

renamed`identical`

`is_linspace`

renamed`islinspace`

`is_sorted`

renamed`issorted`

`is_approx`

superseded by`isclose`

.`is_approx`

removed.Removed support for facility-specific

`convert_with_calibration`

and`load_calibration`

### Contributors#

Matthew Andrew, Owen Arnold, Simon Heybrock, Matthew D. Jones, Andrew McCluskey, Neil Vaytet, and Jan-Lukas Wynen

## v0.5.0 (January 2021)#

### Features#

New

`profile`

plotting functionality where one of the slider dimensions can be displayed as a profile in a subplot (1-D and 2-D projections only).Sliders have a thickness slider associated with them and can be used to show slices of arbitrary thickness.

Can hide/show individual masks on plots.

Can toggle log scale of axes and colorbar with buttons in figure toolbar.

Add binned data support, replacing “event list” dtypes as well as “realign” support.

Plotting of event data (binned data) with dynamic resampling with “infinite zoom” functionality.

Value-based slicing support.

Possibility to plot Scipp objects using

`my_data_array.plot()`

in addition to the classical`plot()`

free function.Support for saving and loading scipp data structures to HDF5.

More functions such as

`nanmean`

for better handling of special values such as`INF`

and`NaN`

.TBB (multi-threading) support for MacOS.

`scipp.neutron`

Improved instrument view, e.g., with buttons to align camera with an axis.

Experiment logs (previously using Mantid’s

`Run`

) are now represented as native scipp objects, e.g., as scalar attributes holding a data array representing a time-series such as a temperature log.Support conversion of

`mantid.MaskWorkspace`

.

### Breaking changes#

`Dataset`

does not have a`masks`

property any more. Use`ds['item'].masks`

instead.`Dataset`

does not support attributes any more.`DataArray`

and dataset item attributes are now are now handled as “unaligned” coords. Use`ds['item'].coords`

or`array.attrs`

to access these.API for log scale on axes and colors has changed. Use

`plot(da, scale={'tof': 'log'})`

to set a log scale on a coordinate axis, and use`plot(da, norm='log')`

to have a log image colorscale or a log y axis on a 1d plot.`vmin`

and`vmax`

now represent absolute values instead of exponents when`norm='log'`

.The

`ipympl`

matplotlib backend is now required for using inside Jupyter notebooks. This has been added as a dependency. It is also the only interactive backend that works in JupyterLab.Removed support for

`event_list`

`dtype`

, use binned data instead.Removed support for “realigned” data. This is replaced by the more flexible and generic support for “binned” data.

### Contributors#

Matthew Andrew, Owen Arnold, Thibault Chatel, Simon Heybrock, Matthew D. Jones, Daniel Nixon, Piotr Rozyczko, Neil Vaytet, and Jan-Lukas Wynen

## v0.4 (July 2020)#

### Features#

New realign functionality.

Support for event-filtering.

Support for subtraction and addition for (realigned) event data.

Non-range slicing changed to preserve coords as attrs rather than dropping

`scipp.neutron`

: Instrument view with advanced geometry support, showing correct pixel shapes.Instrument view working on doc pages.

Made it simpler to add new

`dtype`

and support`transform`

for all types.Comparison functions such as

`less`

,`greater_equal`

, …`all`

and`any`

can work over all dimensions as well as explicitly provided dimension argumentIt is now possible to convert between Scipp objects and Python dictionaries using

`to_dict`

and`from_dict`

.New functions

`collapse`

and`slices`

can be use to split one or more dimensions of a DataArray to a dict of DataArrays.You can now inspect the global object list of via the

`repr`

for scipp showing Datasets, DataArrays and VariablesInternal cleanup and documentation additions.

### Noteable bug fixes#

Several fixes in the plotting (non-regular bins, colorbar limits, axes tick labels from unaligned coordinates, etc…)

### Breaking changes#

Coord and attributes names for neutron data have been standardized, now using hyphens instead of underscore, except for subscripts. Affected examples:

`pulse-time`

(previously`pulse_times`

),`source-position`

(previously`source_position`

),`sample-position`

(previously`sample_position`

),`detector-info`

(previously`detector_info`

).`scipp.neutron.load`

must use`advanced_geometry=True`

option for loading`detector-info`

and pixel shapes.Normalization of event data cannot be done directly any more, must use

`realign`

.Plotting variances in 2D has been removed, and the API for using

`matplotlib`

axes has been simplified slightly, since we no longer have axes for variances:Before:

`plot(..., mpl_axes={"ax": myax0, "cax": myax1})`

After:

`plot(..., ax=myax0, cax=myax1)`

Plot with keyword argument

`collapse`

has been removed in favor of two more generic free functions that return a`dict`

of data arrays that can then directly be passed to the`plot`

function:`collapse(d, keep='x')`

slices all dimensions away to keep only`'x'`

, thus always returning 1D slices.`slices(d, dim='x')`

slices along dimension`'x'`

, returning slices with`ndim-1`

dimensions contaiing all dimensions other than`'x'`

.

### Contributors#

Owen Arnold, David Fairbrother, Simon Heybrock, Daniel Nixon, Pawel Ptasznik, Piotr Rozyczko, and Neil Vaytet

## v0.3 (March 2020)#

Many bug fixes and small additions

Multi-threading with TBB for many operations.

Performance improvements in hotspots

Remove

`Dim`

labels in favor of plain strings. Connected to this, the`labels`

property for data arrays and datasets has been removed. Use`coords`

instead.Start to support

`out`

arguments (not everywhere yet)`scipp.neutron`

: Instrument view added

Contributors in this release: Owen Arnold, Simon Heybrock, Daniel Nixon, Dimitar Tasev, and Neil Vaytet

## v0.2 (December 2019)#

Support for masks stored in

`DataArray`

and`Dataset`

.Support for

`groupby`

, implementing a split-apply-combine approach as known from pandas.Enhanced support for event data:

Histogramming with “weighted” data.

Multiplication/division operators between event data and histogram.

Enhanced plotting support:

Now focussing on

`matplotlib`

.Multi-dimensional plots with interactive sliders, and much more.

Significant performance improvements for majority of operations. Typically performance is now in the same ballpark as what the memory bandwidth on a single CPU core can support.

Fancy

`_repr_html_`

for quick views of datasets in Jupyter notebooks.Conda packages now also available for Windows.

`scipp.neutron`

gets improved converters from Mantid, supporting neutron monitors, sample information, and run information stored as attributes.

Contributors in this release: Owen Arnold, Igor Gudich, Simon Heybrock, Daniel Nixon, Dimitar Tasev, and Neil Vaytet

## v0.1 (September 2019)#

This is the first official release of `scipp`

.
It is not yet meant for production-use, but marks a big step for us in terms of usability and features.
The API may change without notice in future releases.

Features:

All key data structures (

`Variable`

,`DataArray`

, and`Dataset`

).Slicing.

Basic arithmetic operations.

Physical units.

Propagation of uncertainties.

Event data.

Limitations:

Limited performance and no parallelization.

Numerous “edge cases” not supported yet.

While tested, probably far from bug-free.

## Contributing Organizations#

^{a}European Spallation Source ERIC, Sweden^{c}Tessella, UK