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3.6.1 (2024-04-04)

Bugfixes

  • Fix broken installs with pip failing to resolve the request for tablib[html] in some cases (#588).

3.6.0 (2024-03-23)

Improvements

  • It's now possible to access a dataset row using its index without slicing (#24).
  • The dataset transpose() method can be called on datasets without headers.
  • The html format now supports importing from HTML content (#243)
  • The ODS format now supports importing from .ods files (#567). The support is still a bit experimental.
  • When adding rows to a dataset with dynamic columns, it's now possible to provide only static values, and dynamic column values will be automatically calculated and added to the row (#572).

Changes

  • The html export format does not depend on MarkupPy any longer, therefore the tablib[html] install target was removed also.

Bugfixes

  • Fix crash when loading a databook from an XLS file (#522).
  • None Python values are now converted to the empty string by the ODS formatter.
  • When applying formatters, the internal data is no longer mutated (#578).
  • Columns can be inserted even when a dataset has headers but no values (#583).

3.5.0 (2023-06-11)

Improvements

  • Add support for Python 3.12 (#550)
  • Drop support for EOL Python 3.7 (#551)
  • Allow importing 'ragged' .xlsx files through dataset (#547)
  • Release: replace deprecated repository_url with repository-url (#545)

3.4.0 (2023-03-24)

Improvements

  • Move setup to pyproject.toml (#542)
  • xlsx export: remove redundant code (#541)
  • xlsx export: support escape of formulae (#540)
  • Add <tbody> tags to HTML output (#539)
  • Check for type list and improve error msg (#524)

Bugfixes

  • Fix bug when yaml file is empty (#535)
  • Fix linting issues raised by Flake8 (#536)

3.3.0 (2022-12-10)

Improvements

  • Add support for Python 3.11 (#525).
  • ODS export: integers/floats/decimals are exported as numbers (#527).

3.2.1 (2022-04-09)

Bugfixes

  • Support solo CR in text input imports (#518).

3.2.0 (2022-01-27)

Changes

  • Dropped Python 3.6 support (#513).

Bugfixes

  • Corrected order of arguments to a regex call in safe_xlsx_sheet_title (#510).

3.1.0 (2021-10-26)

Improvements

  • Add support for Python 3.10 (#504).
  • The csv, xls, and xlsx formats gained support for the skip_lines keyword argument for their import_set() method to be able to skip the nth first lines of a read file (#497).

Bugfixes

  • Avoided mutable parameter defaults (#494).
  • Specify build backend for editable installs (#501).
  • Doubled sample size passed to csv.Sniffer() in _csv.detect() (#503).

3.0.0 (2020-12-05)

Breaking changes

  • Dropped Python 3.5 support.
  • JSON-exported data is no longer forced to ASCII characters.
  • YAML-exported data is no longer forced to ASCII characters.

Improvements

  • Added Python 3.9 support.
  • Added read_only option to xlsx file reader (#482).

Bugfixes

  • Prevented crash in rst export with only-space strings (#469).

2.0.0 (2020-05-16)

Breaking changes

  • The Row.lpush/rpush logic was reversed. lpush was appending while rpush and append were prepending. This was fixed (reversed behavior). If you counted on the broken behavior, please update your code (#453).

Bugfixes

  • Fixed minimal openpyxl dependency version to 2.6.0 (#457).
  • Dates from xls files are now read as Python datetime objects (#373).
  • Allow import of "ragged" xlsx files (#465).

Improvements

  • When importing an xlsx file, Tablib will now read cell values instead of formulas (#462).

1.1.0 (2020-02-13)

Deprecations

  • Upcoming breaking change in Tablib 2.0.0: the Row.lpush/rpush logic is reversed. lpush is appending while rpush and append are prepending. The broken behavior will remain in Tablib 1.x and will be fixed (reversed) in Tablib 2.0.0 (#453). If you count on the broken behavior, please update your code when you upgrade to Tablib 2.x.

Improvements

  • Tablib is now able to import CSV content where not all rows have the same length. Missing columns on any line receive the empty string (#226).

1.0.0 (2020-01-13)

Breaking changes

  • Dropped Python 2 support
  • Dependencies are now all optional. To install tablib as before with all possible supported formats, run pip install tablib[all]

Improvements

  • Formats can now be dynamically registered through the tablib.formats.registry.refister API (#256).
  • Tablib methods expecting data input (detect_format, import_set, Dataset.load, Databook.load) now accepts file-like objects in addition to raw strings and bytestrings (#440).

Bugfixes

  • Fixed a crash when exporting an empty string with the ReST format (#368)
  • Error cells from imported .xls files contain now the error string (#202)

0.14.0 (2019-10-19)

Deprecations

  • The 0.14.x series will be the last to support Python 2

Breaking changes

  • Dropped Python 3.4 support

Improvements

  • Added Python 3.7 and 3.8 support
  • The project is now maintained by the Jazzband team, https://jazzband.co
  • Improved format autodetection and added autodetection for the odf format.
  • Added search to all documentation pages
  • Open xlsx workbooks in read-only mode (#316)
  • Unpin requirements
  • Only install backports.csv on Python 2

Bugfixes

  • Fixed DataBook().load parameter ordering (first stream, then format).
  • Fixed a regression for xlsx exports where non-string values were forced to strings (#314)
  • Fixed xlsx format detection (which was often detected as xls format)

0.13.0 (2019-03-08)

  • Added reStructuredText output capability (#336)
  • Added Jira output capability
  • Stopped calling openpyxl deprecated methods (accessing cells, removing sheets) (openpyxl minimal version is now 2.4.0)
  • Fixed a circular dependency issue in JSON output (#332)
  • Fixed Unicode error for the CSV export on Python 2 (#215)
  • Removed usage of optional ujson (#311)
  • Dropped Python 3.3 support

0.12.1 (2017-09-01)

  • Favor Dataset.export(<format>) over Dataset.<format> syntax in docs
  • Make Panda dependency optional

0.12.0 (2017-08-27)

  • Add initial Panda DataFrame support
  • Dropped Python 2.6 support

0.11.5 (2017-06-13)

  • Use yaml.safe_load for importing yaml.

0.11.4 (2017-01-23)

  • Use built-in json package if available
  • Support Python 3.5+ in classifiers

Bugfixes

  • Fixed textual representation for Dataset with no headers
  • Handle decimal types

0.11.3 (2016-02-16)

  • Release fix.

0.11.2 (2016-02-16)

Bugfixes

  • Fix export only formats.
  • Fix for xlsx output.

0.11.1 (2016-02-07)

Bugfixes

  • Fixed packaging error on Python 3.

0.11.0 (2016-02-07)

New Formats!

  • Added LaTeX table export format (Dataset.latex).
  • Support for dBase (DBF) files (Dataset.dbf).

Improvements

  • New import/export interface (Dataset.export(), Dataset.load()).
  • CSV custom delimiter support (Dataset.export('csv', delimiter='$')).
  • Adding ability to remove duplicates to all rows in a dataset (Dataset.remove_duplicates()).
  • Added a mechanism to avoid datetime.datetime issues when serializing data.
  • New detect_format() function (mostly for internal use).
  • Update the vendored unicodecsv to fix None handling.
  • Only freeze the headers row, not the headers columns (xls).

Breaking Changes

  • detect() function removed.

Bugfixes

  • Fix XLSX import.
  • Bugfix for Dataset.transpose().transpose().

0.10.0 (2014-05-27)

  • Unicode Column Headers
  • ALL the bugfixes!

0.9.11 (2011-06-30)

  • Bugfixes

0.9.10 (2011-06-22)

  • Bugfixes

0.9.9 (2011-06-21)

  • Dataset API Changes
  • stack_rows => stack, stack_columns => stack_cols
  • column operations have their own methods now (append_col, insert_col)
  • List-style pop()
  • Redis-style rpush, lpush, rpop, lpop, rpush_col, and lpush_col

0.9.8 (2011-05-22)

  • OpenDocument Spreadsheet support (.ods)
  • Full Unicode TSV support

0.9.7 (2011-05-12)

  • Full XLSX Support!
  • Pickling Bugfix
  • Compat Module

0.9.6 (2011-05-12)

  • seperators renamed to separators
  • Full unicode CSV support

0.9.5 (2011-03-24)

  • Python 3.1, Python 3.2 Support (same code base!)
  • Formatter callback support
  • Various bug fixes

0.9.4 (2011-02-18)

  • Python 2.5 Support!
  • Tox Testing for 2.5, 2.6, 2.7
  • AnyJSON Integrated
  • OrderedDict support
  • Caved to community pressure (spaces)

0.9.3 (2011-01-31)

  • Databook duplication leak fix.
  • HTML Table output.
  • Added column sorting.

0.9.2 (2010-11-17)

  • Transpose method added to Datasets.
  • New frozen top row in Excel output.
  • Pickling support for Datasets and Rows.
  • Support for row/column stacking.

0.9.1 (2010-11-04)

  • Minor reference shadowing bugfix.

0.9.0 (2010-11-04)

  • Massive documentation update!
  • Tablib.org!
  • Row tagging and Dataset filtering!
  • Column insert/delete support
  • Column append API change (header required)
  • Internal Changes (Row object and use thereof)

0.8.5 (2010-10-06)

  • New import system. All dependencies attempt to load from site-packages, then fallback on tenderized modules.

0.8.4 (2010-10-04)

  • Updated XLS output: Only wrap if '\n' in cell.

0.8.3 (2010-10-04)

  • Ability to append new column passing a callable as the value that will be applied to every row.

0.8.2 (2010-10-04)

  • Added alignment wrapping to written cells.
  • Added separator support to XLS.

0.8.1 (2010-09-28)

  • Packaging Fix

0.8.0 (2010-09-25)

  • New format plugin system!
  • Imports! ELEGANT Imports!
  • Tests. Lots of tests.

0.7.1 (2010-09-20)

  • Reverting methods back to properties.
  • Windows bug compensated in documentation.

0.7.0 (2010-09-20)

  • Renamed DataBook Databook for consistency.
  • Export properties changed to methods (XLS filename / StringIO bug).
  • Optional Dataset.xls(path='filename') support (for writing on windows).
  • Added utf-8 on the worksheet level.

0.6.4 (2010-09-19)

  • Updated unicode export for XLS.
  • More exhaustive unit tests.

0.6.3 (2010-09-14)

  • Added Dataset.append() support for columns.

0.6.2 (2010-09-13)

  • Fixed Dataset.append() error on empty dataset.
  • Updated Dataset.headers property w/ validation.
  • Added Testing Fixtures.

0.6.1 (2010-09-12)

  • Packaging hotfixes.

0.6.0 (2010-09-11)

  • Public Release.
  • Export Support for XLS, JSON, YAML, and CSV.
  • DataBook Export for XLS, JSON, and YAML.
  • Python Dict Property Support.