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Version History

[1.4.3] - 2026-03-23

Fixed

  • Error that prevented loading some PDS4 GeoTIFFs.

Removed

  • Vestigial read-from-URL functionality in vendored pds4-tools for emscripten compatibility.

[1.4.1] - 2026-02-18

Added

  • A user guide for Data.dump_browse() and Data.show()

Features

  • Decompression module for MSSS DAT files
  • Support for PDS4 labels with a ".lblx" filename extension
  • Data.dump_browse() and Data.show() now take an optional rgb_channels keyword argument which allows for manual control over which bands of a multiband image are used as the color channels when creating an RGB image.
  • new strict_label_decode option for Data: if you pass strict_label_decode=False, pdr will attempt to decode attached labels
  • in non-ASCII character encodings.

Dataset Support

  • Miscellaneous additional products from:
  • Stardust and Stardust-NEXT
  • Rosetta
  • Dawn
  • NEAR
  • Mars Odyssey
  • Voyager
  • MRO
  • Juno UVS
  • Hayabusa
  • MSL Mastcam, MAHLI, and MARDI EDRs
  • MGS MOC compressed SDPs
  • Datasets with PDS 3 & 4 labels stored outside PDS nodes:
  • Venus Express (ESA)
  • BepiColombo (ESA)
  • Kaguya / Selene (JAXA)
  • Chandrayaan 1 (ESA)
  • SMART-1 (ESA)
  • Preliminary support based on limited testing:
  • Chang'e 1 (CNSA)
  • Chang'e 2 (CNSA)
  • Chang'e 3 (CNSA)
  • Chang'e 4 (CNSA)
  • Chang'e 5 (CNSA)
  • Chang'e 6 (CNSA)
  • Chandrayaan 2 (ISRO)
  • Chandrayaan 3 (ISRO)

Changed

  • Data.dump_browse() no longer allows dumping of 'unscaled' FITS products because FITS products are all automatically scaled.

Fixed

  • Fixed an error in some FITS tables in which unsigned integers were improperly represented as signed integers.
  • Compatibility changes for Pandas 3's typing and copy behaviors.
  • Compatibility changes for Python 3.14's parameter representation behavior.
  • Fixes for a handful of ARRAY products that incorrectly retained PLACEHOLDER columns in output data structures.

Removed

Version History

[1.4.0] - 2025-03-13

Added

Features

  • Support for line prefix tables
  • Useful messages for missing files in debug mode

Dataset Support

  • additional LRO LAMP RDR table/image pointers
  • raw images of 9P/TEMPEL 1 from the Keck Observatory
  • Deep Space 1 safed MICAS and PEPE datasets
  • Lunar Prospector ancillary ascii tables
  • VG1/VG2 safed MAG solar wind and POS cruise phase tables
  • safed Stardust datasets from the mission's early cruise phase
  • New Horizons Pluto encounter ALICE stellar occultation data (updated from 'known unsupported' to 'notionally supported')
  • MGS RSS USO tables
  • PVO ORPA and ORSE misc ancillary tables
  • JUNO Waves EDR housekeeping tables
  • Earth-based ring occultation (EBROCC_0001) ancillary data
  • Voyager ring profiles ancillary data
  • ground-based MAHL images
  • CRISM ancillary tables
  • Clementine BSR RDR sorted/aggregated tables (CL_2108)
  • Line prefix tables
  • Galileo SSI REDR
  • Cassini ISS
  • HiRISE EDR

Changed

Fixed

  • numpy >= 2.0 no longer automatically upcasts integer dtypes in cases like np.int16(0) + 1000000. In some unusual cases, this can cause an OverflowError when applying scaling factors / offsets (MOLA MEGDRs formed the motivating example). Data.get_scaled() will now catch these errors and automatically typecast arrays in response.
  • glitch reading headers from PDS4-labeled FITS files without unique local references for said headers

Removed

[1.3.0] - 2024-10-18

Added

Features

  • Data.dump_browse() and Data.show() now take an optional slice_axis keyword argument which controls which axis of a 3-D image array Data treats as the 'band' or 'channel' axis

Dataset Support

  • MGS MOLA PEDR (a special case fixes non-standard STRUCTURE pointer names and 'ROWS = "UNK"' from the labels)
  • LRO LAMP EDR and most RDR table/image pointers
  • additional IUE images
  • Apollo Lunar Sample Photographs

Other

  • Our JOSS paper was accepted for publication! :tada: A pdf of our JOSS publication is included in the documentation. This is now our preferred citation. A CITATION.cff file is now included in the repo.

Changed

  • DESCRIPTION pointers will now be deduplicated and print with indexes in the keys list (e.g. DESCRIPTION_0, DESCRIPTION_1, etc.). No warning will be triggered.
  • Unit tests have been moved inside the pdr/ folder and will now be packaged and shipped with pdr
  • Previously only pointers named exactly "^STRUCTURE" or "^PDS_OBJECT" skipped deduplication. Now all pointers with "STRUCTURE" in the name skip deduplication, and all pointers with "PDS_OBJECT" in the name get ignored.
  • vendored pdr.vax module removed in favor of using SETI's rms-vax (successor package to that vendored module)
  • pdr.pilutils renamed to pdr.pil_utils for consistency
  • Data.get_scaled and functions that use it (like Data.dump_browse) now also mask nonfinite values (inf, -inf, and nan)
  • pdr no longer greedily heads files when looking for PVL labels
  • Added a check_special_block() call to Data.get_scaled

Fixed

  • updated docs/LICENSE.md to match LICENSE.md
  • pillow's DecompressionBombError now fully suppressed when reading desktop format images in primary mode

Removed

  • pdr ignores all PDS3 pointers containing the string "PDS_OBJECT". Data previously returned a TBD message on attempts to access objects associated with these pointers. We have determined that these pointers were markers for internal software tools and do not refer to unique data objects.
  • The text of our JOSS paper publication on pdr has been removed from joss_paper/paper.md. Please refer instead to the pdf under docs/pdr_joss_paper.pdf
  • A warning is no longer raised for out-of-bounds values on converting to 8-bit for browsification

[1.2.3] - 2024-09-30

Changed

  • Consolidated optional 'browsify' and 'desktop_image' dependencies into simply 'pillow'.
  • Any attempt to use functionality that requires an optional dependency now raises a ModuleNotFoundError naming the required module.
  • To support this, astropy objects are now always imported through loaders.astrowrap.
  • Updates to documentation to include instructions for pip users, etc.

Fixed

  • docs/index.md updated to reflect the same content as README.md

Removed

  • Experimental save_sparklines() function in pdr.browsify, and along with it, the optional matplotlib dependency.
  • Unnecessary full matplotlib dependency for Notebook use.

[1.2.2] - 2024-09-30

Added

Features

  • Support for 'desktop' image formats in primary mode: JPEG, TIFF, GIF (still and animated), PNG, MPO/MPF, WebP (still and animated), JPEG2000/JP2, and BMP. Behavior is as follows:
  • pdr will attempt to parse all EXIF, TIFF tag, and MPO metadata, including embedded XML packets. Parsed metadata is available in Data.metadata and accessible with Data.metaget() and related methods.
  • Some basic image information is also available in Data.metadata (format, color mode, dimensions, MIME type, etc.)
  • Most files will have a single data object named 'IMAGE'.
  • Animated GIF and WebP images will have one data object per frame, named 'FRAME_0', 'FRAME_1', etc.
  • MPO/MPF files (this includes many files with .jpg and .jpeg extensions) will have one data object per image. The MPO primary image is named 'IMAGE'. Subsequent images are assigned names based on their MPType and index within the file.
  • PDR automatically converts palette-mode images (like many GIFs) to 3D RGB arrays on load. In these cases, mappings between RGB values and original palette indices are available with data.metaget('palette').
  • GeoTiffs work like other TIFF files. pdr naively parses the GeoTiff metadata, but does not construct a CRS or otherwise derive projection information.
  • Note that some of PDR's convenience features like Data.show() do not work well with images that rely on transparency.

Dataset Support

  • additional Cassini ISS calibration images
  • MRO HiRISE RDRs and additional DTM images (were notionally supported, now have official support)

Other

  • The text of our JOSS paper publication on pdr is now included under joss_paper/paper.md. It will be moved to docs/paper.md in next release.
  • Clarifying comments were added to the supported_datasets documentation regarding spice files
  • Community guidelines including a code of conduct and contribution guidelines have been added to the readme and docs folder

Changed

  • Data.dump_browse() and .show() no longer apply default contrast enhancement if it would result in an image with only one value. Explicitly passing the image_clip argument will override this, if for some reason you want to.
  • Levenshtein dependency is now optional. Users installing via pip will need to use the "fuzzy" option.
  • tiff optional-dependency feature in has been changed to desktop_image for pip users to better fit with new features in this version

Fixed

  • Data.dump_browse() now works correctly with FITS files opened in primary mode.

Removed

  • CHANGELOG.md was removed in preference of solely docs/version_history.md
  • Binder demo of example notebook due to issues with Binder servers.

[1.2.1] - 2024-09-18

Added

Features

  • Full compatibility with numpy 2.0 for pds4 products (pds3 products already compatible in last release)

Changed

  • pds4_tools is now vendored within pdr to apply changes for numpy 2.0 compatibility and avoid hot patches

Removed

  • pds4_tools dependency
  • _patches module

[1.2.0] - 2024-09-18

Added

Features

  • Compatibility with numpy 2.0 for pds3 products and fits pds4 products (non-fits PDS4 product numpy 2.0 compatibility awaits changes in pds4_tools dependency)
  • Support for VAX_REAL data types in qubes
  • pdr.Data.__contains__ method see issue #57
  • Unit tests are now backed by pytest fixtures for improved flexibility and compatibility
  • ROW_PREFIX_BYTES are now accounted for when calculating offset positions

Dataset Support

  • Galileo NIMS qubes
  • MSL
  • EMS EDRs and RDRs
  • additional navcam and hazcam RDRs
  • Rosetta
  • CONSERT
  • ALICE supplementary tables
  • MIDAS RDRs
  • additional COSIMA tables
  • LASP Mars datasets
  • Venus Express (VEX)
  • Phoenix
  • ASE EDRs, RDS
  • Telltale Experiment (TT) products
  • Atmospheric Opacity (AO) products
  • TEGA LED EDRs and SC RDRs
  • MGN RSS solar wind experiment
  • MGS RSS solar conjunction data
  • MEX VMC EDRs and RDRs
  • Mariner 10 MAG, PLS, and POS products
  • WFF/ATM derived DEM images
  • Misc additional products from:
  • Cassini RPWS, MIMI, and ISS
  • Galileo Probe, MAG, SSI
  • IHW
  • ground-based datasets at SBN and ATM
  • Stardust
  • LRO Mini-RF
  • NEAR NLR
  • ICE
  • Juno JADE
  • Pioneer Venus Orbiter OMAG
  • Vega
  • Voyager LECP
  • MEX PFS and MARSIS
  • MER navcam/hazcam/pancam RDRs

Other

  • (GitHub-specific) CI for unit tests / coverage reports

Changed

  • PDR now associates FITS HDUs with PDS data objects by matching byte ranges as described in PDS labels to HDU byte ranges as described in their FITS headers, rather than by performing fuzzy string match between HDU names and PDS object names
  • PDS4 FITS files are now opened using astropy.io.fits on the backend instead of pds4_tools, mirroring the PDS3 FITS behavior
  • Non-filled-out FITS cards are represented as None, rather than special astropy objects without stable byte representations
  • Assorted backend refactoring, linting, and minor improvements
  • Unit tests no longer unnecessarily write to the source tree
  • All string objects loaded directly from products by Data ('DESCRIPTION', 'LABEL', etc.) canonicalize line endings to \n

Fixed

  • More compatibility fixes for Python 3.9, mostly related to type annotations
  • Improved reliability of associating compressed files with filenames that imply uncompressed files (and vice versa)
  • Addressed some cases in which PDR wasn't accurately determining lengths for HEADER objects
  • HISTOGRAM_IMAGE objects will now be read as images instead of attempting to be read as tables. (IMAGE_HISTOGRAMS will still be read as tables)
  • setup.py also correctly pins numpy < 2.0.0
  • The hotpatch for pds4-tools Python 3.12 incompatibility no longer has persistent side effects; for instance, conda will no longer complain about checksum mismatches.
  • Bug reading PDS4-labeled FITS files

Removed

[1.1.2] - 2024-06-18

Changed

  • Pinned numpy version to less than 2.0 until compatibility issues with new release are resolved.

[1.1.1] - 2025-06-14

Fixed

  • Bugfix for compatibility for Python 3.9 by adding two features of Python 3.10.
  • pdr.py: if inspect.get_annotations is not available, use a fallback implementation (incomplete, but works for the case we care about).
  • pdrtypes.py: if typing.TypeAlias is not available, define it by hand.

[1.1.0] - 2024-05-21

Added

Features

  • Support for 4 bit VAX_REAL Tables

  • Ability to modify Metadata objects and have changes propagate to pdr objects. Suggested feature in issue #55

    Example Usage: Display an BSQ RGB image as a vertical image with each channel split into a column

    data.metadata['IMAGE']['LINES'] = ( data.metadata['IMAGE']['BANDS'] * data.metadata['IMAGE']['LINES'] ) data.metadata['IMAGE']['BANDS'] = 1 data.load_metadata_changes() data.load('IMAGE', reload=True) data.show('IMAGE')

    If the image was not loaded before the metadata change, the reload=True argument is unnecessary.

Dataset Support

  • Cassini UVIS EUV, FUV
  • Voyager IRIS full-res spectral observations
  • GRSFE AVIRIS and TIMS tables
  • all GRSFE TABLE_HEADER and SPECTRUM_HEADER pointers
  • Affected datasets: AVIRIS and TIMS tables, PARABOLA, and wind experiment

Changed

  • Updated several unit tests based on the Metadata changes

Fixed

  • Bug which prevented reading of single band images with an interleave key if the interleave was BIL and the image had prefix/suffix. Resolves issue #55
  • Bug in which some pds4 data objects were not being successfully cast from PDS4tools arrays to numpy arrays
  • Bug in which padding bytes before top level containers in ASCII tables not described by a column in the label were not being respected. See below for description of this type of label writing practice. michael: yeah. the problem is that this isn't actually wrong, it's just depraved. it violates only the spirit of the law

[1.0.7] - 2024-04-23

Added

Features

  • pdr.fastread(), a convenience function for opening a product without checking for a detached label. This function only works if you point it at the file that contains the product's label (attached or detached). Improves speed on slow filesystems or for large numbers of products, particularly when you are only interested in their metadata or the data objects you want to load from them are small.

Dataset Support

  • MEX SPICAM and MRS datasets
  • Comet D/Shoemaker-Levy 9/Jupiter Impact Observing Campaign datasets
  • see supported_datasets.md for details

Other

  • Lots of docstrings, type hinting, and other in-code documentation
  • Additional shared types to support static analysis and code readability
  • pdr-tests-compatible annotations for special cases

Changed

  • Assorted code refactoring, linting, and minor backend improvements
  • Substantial performance increases for wide tables with many repeated items
  • Modified some special cases for pandas 2.2.x compatibility

Fixed

  • A bug in PDS4 label handling that sometimes dropped repeated child elements
  • An accidentally-skipped out-of-date unit test for DSV tables
  • Slow imports are again delayed until needed

Removed

  • Unused numpy-based ASCII table parser

[1.0.6] - 2024-03-28

Added

Features

  • Data now directly affords a find_special_constants() method

Dataset Support

  • most IHW datasets
  • additional Voyager 1 and 2 datasets
  • GRSFE and WFF/ATM datasets
  • LOIRP dataset
  • additional MSL, Apollo, and Mariner datasets
  • additional Earth-based lunar data
  • Viking Lander datasets
  • Mars Odyssey DAN and SAM data
  • MEX ASPERA, HRSC, SRC, and PFS data
  • most Phoenix TEGA, ELEC, and WCL products
  • see supported_datasets.md for details

Changed

  • Assorted type-hinting and other in-code documentation improved.
  • Behavior for character stripping in string columns of ASCII tables was inconsistent. To increase usability, string columns of ASCII tables now discard preceding and trailing spaces, commas, newlines, and double-quotes (regardless of strict label specification).
  • Generally improved performance on table reading

Fixed

  • Incorrect column bounds due to unusual prefix/suffix/infix specifications in some ASCII tables
  • Incorrect column bounds due to container padding in some tables
  • FITS HDUs with non-printable characters in header cards will now load, discarding any such cards from the header (unless the cards are required, e.g. NAXIS1) Resolves issue #52

[1.0.5] - 2023-12-07

Added

Features

  • doc strings for API on readthedocs
  • Error tracking features that were accidentally deleted from the last version were re-added

Dataset Support

  • most Voyager 1 and 2 datasets
  • additional MGS datasets (MAG/ER, RSS EDS, MOC)
  • Mariner 9 datasets
  • Pioneer 10 and 11 GTT RDRs
  • Sakigake, Suisei, and SOHO datasets
  • ICE and IUE datasets
  • see supported_datasets.md for details.

Fixed

  • Tables with containers with REPETITIONS in them were reading the same data each repetition, this has been fixed
  • Exponential notation in pvl quantity objects are now properly handled

Removed

  • MRO MCS DDR data is not supported due to formatting issues

[1.0.4] - 2023-10-23

Added

Features

  • support for GIF files referenced as PDS3 objects
  • improved verbosity of some file-not-found error messages

Dataset Support

Changed

  • updated install specifications
  • added hotpatch to address pds4-tools Python 3.12 incompatibility, to be removed following pds4-tools 1.4 release

Fixed

  • correctly interpret PVL non-decimal integer representations as int(non_decimal_integer, base=int(radix)). e.g., pdr will now interpret the PVL statement:

"SAMPLE_BIT_MASK = 2#1111111111111111#"

as a metadata item with key "SAMPLE_BIT_MASK" and value 65535.

Please note that the bit masks are not applied programmatically because we don't believe their meanings are consistent across the corpus of planetary data. However, users are encouraged to explore their use within their own work and enjoy the glories of the Python & operator.

An example for how to apply a bit mask using the & bitwise operator:

data = pdr.read('/path/to/file.img')
masked = data.IMAGE & data.metaget('SAMPLE_BIT_MASK')

Alternatively, if you're using this value for something for which you'd prefer to have the original PVL value, use the bin, oct, or hex packages for base 2, 8, or 16 respectively to convert the value back from an integer.

(Resolves issue #51) - correctly interpret PVL Sequences and Sets of Unquoted Strings as tuple[str] or set[str] respectively - fix some cases in which PVL End Statements were incorrectly interpreted as parameters with empty-string values

[1.0.3] - 2023-10-03

Added

Features

Dataset Support

  • most New Horizons datasets
  • Venera 15 and 16 derived data
  • Giotto PIA and VEGA 1/2 Puma_mode data
  • Venus Climate Orbiter data
  • Saturn Ring Plane Crossings (RPX) 1995-1996 data
  • most Phoenix datasets
  • Deep Impact and EPOXI data
  • Mars Pathfinder data
  • several MRO datasets including HiRISE EDRs, MCS, MARCI, and CTX
  • see supported_datasets.md for details.

Changed

  • Debug-mode error tracking is substantially more detailed
  • Debug-mode error logs are now written as JSON
  • Assorted backend refactoring, cleanup, error checks, and in-code documentation

Fixed

  • Fixed incorrect PDS3 object -> FITS HDU mapping for several data types
  • scaling/offset defined in FITS tables (BSCALE/BZERO) is now applied correctly to output DataFrames
  • 8-byte integers found in some nonstandard binary files are now handled correctly
  • more consistent handling of long / malformatted PVL comments
  • improved handling of 'stub' primary FITS HDUs

[1.0.2] - 2023-08-01

Added

Features

  • Support for FITS tables
  • Documentation on behavior of FITS files (in README)
  • Support for VAX floating-point numbers

Dataset Support

  • Rosetta ALICE EDR, RDR, and REFDR data
  • several Galileo datasets
  • sampleninterleaved (BIP) images, including:
  • DAWN VIR EDR and RDR cube products
  • Rosetta VIRTIS EDRs
  • Deep Space 1, NEAR, Stardust, and Stardust-NExT datasets
  • various image products stored as VAX floats, including Pioneer Venus radar and IMIDR images
  • IBM_REAL and EBCIDC data types, including Pioneer Venus SEDR
  • LRO CRaTER EDR secondary science and housekeeping tables
  • several Mars Odyssey datasets
  • several Vega datasets

Changed

  • TABLE and SERIES objects now apply label provided offset and scaling factors. This has not yet been implemented for ARRAY objects or BIT COLUMNS.
  • License file updated to incorporate license from the vendored vax.py module.

Fixed

  • Tables with nested containers now read correctly; closes issue 50
  • ^STRUCTURE pointers inside a COLUMN/FIELD now correctly load the relevant format file

Removed

  • Spaces in BIT_COLUMN DATA_TYPE values no longer raise UserWarnings

[1.0.1] - 2023-06-20

Fixed

  • re-enabled the ability to import pdr.Data by adding it back to __init__.py

[1.0.0] - 2023-06-03

This release represents a major refactoring effort to reduce technical debt and decrease workflow complexity. The user-facing pdr.read() interface has not changed.

Added

FEATURES

  • pdr.Data initialized with debug=True
  • Errors can be inspected at runtime by accessing Data.loaders["OBJECT_NAME"].errors.
  • Tracking logs are also saved to the pdr/.tracker_logs folder.
    directory of the installation folder. They show which functions Data objects used during loading processes -- and if those functions were successful.
  • handling for a wider array of ISIS-style "qube" data and metadata, including side/back/bottom/topplanes (as long as they are along only one image axis)

Dataset Support

  • most THEMIS qube products
  • TODO for cassini XDR image scaling functionality
  • additional LRO datasets: CRaTER, LAMP, LEND, LOLA, Mini-RF, and Radio Science
  • several Venusian datasets including: Magellan GVDR, Pioneer Venus, "Pre-Magellan" products at the GEO node, and Earth-based radar observations.
  • several Lunar datasets including: GRAIL, Lunar Prospector, MSX, Kaguya/Selene, and Earth-based radar and spectroscopy data.- (most) THEMIS qube products
  • TODO for cassini XDR image scaling functionality
  • additional LRO datasets: CRaTER, LAMP, LEND, LOLA, Mini-RF, and Radio Science
  • several Venusian datasets including: Magellan GVDR, Pioneer Venus, "Pre-Magellan" products at the GEO node, and Earth-based radar observations.
  • several Lunar datasets including: GRAIL, Lunar Prospector, MSX, Kaguya/Selene, and Earth-based radar and spectroscopy data.

Changed

  • reworked fundamental data loading workflow. Data class no longer contains all the loader functions, they've been refactored in the loaders module.
  • formats.core.py now only contains special case checking functions and is renamed to formats.checkers.py. Other functions that were previously in it (like pointer_to_loader and generic_image_properties) have moved to the loaders module
  • changes to various special cases based on the data loading workflow refactor
  • reworked image-loading flow for better handling of various band storage types and pre/suffixes
  • BIL images now retain original byteorder
  • reworked cassini xdr special case for compatibility

Fixed

  • discovered some rosetta VIRTIS and cassini UVIS product types were not actually reading correctly, marked them out of support

Removed

  • m3 special case module (deprecated by new image-loading flow)
  • messenger special case module (deprecated by new data loading workflow)
  • rasterio loading options for image data
  • check_special_case has been removed and the special cases have been moved to functions that more specifically targeted to the issues of the particular dataset rather than overriding the entire workflow.

[0.7.5] - 2023-03-16

Added

Changed

  • sample types are now more permissive and allow spaces
  • line endings are less strict and allow between 0-2 carriage returns

Fixed

  • HiRISE EDRs are now only listed as notionally supported (rather than known unsupported and notionally supported)

Removed

  • special case for mgs-rss data with IEEE REAL sample types (now supported in core functionality)

[0.7.4] - 2023-03-13

Added

Features

  • This change log file
  • Support for bit columns with ITEMS
  • Browse images can now be output in grayscale
  • handling for COMPRESSED_FILE objects

Dataset Support

Changed

  • pdr will now accept non-UTF-8 characters in detached PVL label / format files
  • refactored special case checking for readability/maintainability
  • assorted linting and in-code documentation edits
  • labels will by default read in up to 1 MB of the file (previously 500 bytes). If you're trying to get faster performance for shorter attached labels en masse, pass the new --pvl_limit parameter. If you're not running large numbers of attached label files in sequence this is largely irrelevant.

Fixed

  • label comments that are left unclosed by the data providers no longer prevent reading in the data
  • group offset computations by offset not start byte (allows opening of Juno Jane V04 products, closes issue 43)
  • bit columns are now split based on both start_bit and number of bits rather than simply start_bit (this fixed a number of previously incorrectly read files, and mirrors handling for other column types)
  • dump_browse now properly accepts the float_dtype argument; reducing bit depth can significantly reduce memory use when browsifying large arrays
  • malformed labels with extra end-block statements no longer crash BlockParser
  • JUNO JIRAM RDR special case now covers tables as well as images
  • HEADER objects in compressed files now load properly
  • DATA_SET_MAP_PROJECTION_CATALOGS no longer go to read_header (which does not work on them)

Removed

  • special-case handling for COMPRESSED_FILEs
  • support for MSL CCAM LIBS EDRs

[0.7.3] - 2023-01-18

Added

Features

  • Array pointers are now supported
  • FITS headers are now supported. (If a pointer with HEADER in it points to a FITS file it will return that header. If there is a pointer without HEADER in it that points to the FITS file then after loading that key, an additional key will appear in the format: {key}_HEADER that will contain the FITS header).
  • JPEG2000 (.jp2) files are now supported

Dataset Support

  • Many new datatypes from missions including MGS, Clementine, Rosetta, and more (see supported_datasets.md for specifics)

Changed

  • Browse product improvements:
  • Tables with a single row of data will now output as a column for their .csv browse products to increase readability
  • Browse images can be specified to output in formats other than .jpg
  • supported_datasets.md is now alphabetically organized by mission name to more easily search
  • Various optimizations

Fixed

  • Various bug fixes

[0.7.2] - 2022-10-31

Added

Features

  • better search functionality for format files (description of behavior/usage can be found here)
  • A pretty printer for label metadata is now available. (Use print(data.metadata) to see the nicely formatted label information)
  • Image data with different scales and offsets can now be used with the browse products created by get_scaled

Dataset Support

  • several Juno datasets (see supported_datasets.md for specifics).

Changed

  • Accelerated bit handling (files with bit columns will now be processed faster).

Fixed

  • Improvements for the position of column breaks in ASCII tables. Tables that were previously breaking the columns incorrectly will now behave correctly.

Removed

  • .jp2 files will not open with this release (full support planned for next release; small .jp2 files will open with prior releases, but larger ones were not supported)

[0.7.1] - 2022-09-28

Added

  • Assorted compatibility extensions

Fixed

  • Assorted bug fixes

[0.7.0] - 2022-07-28

Added

  • Full support for several previously notionally supported products

Changed

  • A new unified interface for pds4-tools (the output of a pds4 file and a pds3 file will now be significantly more similar and the objects will behave the same)

[0.6.3] - 2022-07-14

Fixed

  • Added a quick patch to better discern if a table should be interpreted as binary or ascii

[0.6.2] - 2022-06-27

Fixed

  • Bug fixes for table reading due to signature change in dustgoggles

[0.6.1] - 2022-06-01

Added

  • Initial reference release

Versions not released:

[0.6.0] - 2022-04-13

Versioning becomes consistent at this point (prior to this release the version number in setup.py followed a 0.4.#a convention while the version in __init__.py follows a 0.#.0 convention. Due to this the version numbers are enumerated here but are not mutually exclusive).

[0.5.0] - 2021-12-01

[0.4.3a] - 2021-07-23

[0.4.2a] - 2021-02-07

This version number is in both __init__.py and setup.py until setup.py changes to 0.4.3a

[0.2.0] - 2021-01-28

This is a substantial rewrite of the core module. It generalizes the handling of common data object types, especially images and tables. The returned data object can now be treated somewhat like a dict by invoking the keys() method or using __getitem__ behavior, which should make it easier to use generally. It also addresses issue #6.

[0.4a1] - 2020-12-31

setup.py is created and the package is made installable

[0.1.0] - 2020-05-24