Releases: Blosc/bcolz
Release 1.2.1
-
C-Blosc internal sources updated to 1.14.3. This basically means that
internal Zstd sources are bumped to 1.3.4, which may lead to noticeable
improved speeds (specially for low compression ratios). -
np.datetime64
and other scalar objects that have__getitem__()
are now
supported in_eval_blocks()
. PR #377. Thanks to apalepu23. -
Vendored cpuinfo.py updated to 4.0.0 (ARM aarch64 is recognized now).
-
Allow setup.py to work even if not on Intel or ARM or PPC archs are found.
Release 1.2.0
-
Support for Python <= 2.6 or Python <= 3.4 has been deprecated.
-
C-Blosc internal sources updated to 1.14.2. Using a C-Blosc library > 1.14 is important for forward compatibility. For more info see: http://blosc.org/posts/new-forward-compat-policy/
Tagging 1.1.1 release
Changes from 1.1.0 to 1.1.1
-
Allow to delete all the columns in a ctable. Fixes #306.
-
Double-check the value of a column that is being overwritten. Fixes
#307. -
Use
pkg_resources.parse_version()
to test for version of packages.
Fixes #322. -
Now all the columns in a ctable are enforced to be a carray instance
in order to simplify the internal logic for handling columns. -
Now, the cparams are preserved during column replacement, e.g.:
ct['f0'] = x + 1
will continue to use the same cparams than the original column.
-
C-Blosc updated to 1.11.2.
-
Added a new
defaults_ctx
context so that users can select defaults
easily without changing global behaviour. For example::with bcolz.defaults_ctx(vm="python", cparams=bcolz.cparams(clevel=0)):
cout = bcolz.eval("(x + 1) < 0") -
Fixed a crash occurring in
ctable.todataframe()
when bothcolumns
andorient='columns'
were specified. PR #311. Thanks to Peter
Quackenbush.