|Next release:||Version 0.3.2|
|Previous release:||Version 0.3.0|
Added ability to delete rows from a view Frame.
dt.options.core_loggerto help debug datatable.
New Frame method
dt.Frame.materialize()to convert a view Frame into a “real” one. This method is noop if applied to a non-view Frame.
Added several internal options to fine-tune the performance of sorting algorithm.
Significantly improved performance of sorting doubles.
fread()can now read string columns that are larger than 2GB in size.
fread()can now accept a list/tuple of stypes for its
Improved logic for auto-assigning column names when they are missing.
fread()now supports reading files that contain NUL characters.
Added global settings
options.frame.names_auto_prefixto control automatic column name generation in a Frame.
assert()statements from C code, and replaced them with exception throws.
When creating a column of “object” type, we will now coerce float NaN values into
fread()has been changed: if previously the function was invoked for every column, now it receives the list of all columns at once, and is expected to return a modified list (or dict/set/etc). Each column description in the list that the function receives carries the columns name and stype, in the future
formatfield will also be added.
fread()will no longer consume excessive amounts of memory when reading a file with too many columns and few rows.
fixed a possible crash when reading CSV file containing long string fields.
fread()NA fields with whitespace were not recognized correctly.
fread()will no longer emit error messages or type-bump variables due to incorrectly recognized chunk boundaries.
Fixed a crash when rbinding string column with non-string: now an exception will be thrown instead.
Calling any stats function on a column of obj64 type will no longer result in a crash.
Columns/rows slices no longer fail on an empty Frame.
Fixed crash when materializing a view frame containing obj64 columns.
Fixed erroneous grouping calculations.
Fixed sorting of 1-row view frames.
This release was created with the help of 5 people who contributed code and documentation, and 3 more people who submitted bug reports and feature requests.
Code & documentation contributors: