0.35

• DataFrame.from_pandas: Speed up by avoiding unnecessary conversions
• DataFrame.full_join: Fix join and output when by is a tuple
• GeoJSON: Fix printing object

0.34

• Vector: Handle timedeltas correctly for NA checks and printing
• Vector.is_timedelta: New method

0.33

• DataFrame.sort: Convert object to string for sorting
• Vector.sort: Convert object to string for sorting
• Fix conditional Numba use when importing the numba package works, but caching doesn't
• Add di-open cli command (currently not part of the default install, but can be installed from source using make install-cli)

0.32

• DataFrame.modify: Add support for grouped modification (#19)
• DataFrame.split: New method
• ListOfDicts.split: New method

0.31

• DataFrame.compare: New experimental method
• Vector.as_string: Add length argument
• Change the documentation to default to the latest release ("stable") instead of the development version ("latest")

0.30

• Use keyword-only arguments where appropriate – the general principle is that mandatory arguments are allowed as positional, but optional modifiers are keyword only
• Rename all instances of "missing" to "na", such as Vector.is_missing to Vector.is_na, the only exception being ListOfDicts.fill_missing, which becomes ListOfDicts.fill_missing_keys
• Truncate data frame object and string columns at PRINT_TRUNCATE_WIDTH (default 32) for printing

0.29.2

• Fix aggregation functions to work with all main data types: boolean, integer, float, date, datetime and string
• Fix aggregation functions to handle all missing values (NaN, NaT, blank string) correctly, the same as implemented in Vector
• Rename aggregation functions' dropna arguments to drop_missing
• first, last, nth: Add drop_missing argument
• Vector.drop_missing: New method

0.29.1

• mode: Fix to return first in case of ties (requires Python >= 3.8)
• std, var: Add ddof argument (defaults to 0 on account of Numba limitations)
• Don't try to dropna for non-float vectors in aggregation functions

0.29

• Add shorthand helper functions for use with DataFrame.aggregate,
  optionally using Numba JIT-compiled code for speed
  • https://dataiter.readthedocs.io/en/latest/aggregation.html
  • https://dataiter.readthedocs.io/en/latest/data-frame.html#dataiter.DataFrame.aggregate
  • https://dataiter.readthedocs.io/en/latest/dataiter.html
• DataFrame.map: New method
• dataiter.ncol: Removed
• dataiter.nrow: Deprecated in favor of dataiter.count
• dataiter.read_csv: New alias for DataFrame.read_csv
• dataiter.read_geojson: New alias for GeoJSON.read
• dataiter.read_json: New alias for ListOfDicts.read_json
• dataiter.read_npz: New alias for DataFrame.read_npz

0.28

• DataFrame: Make object columns work in various operations
• DataFrame.from_json: Add arguments columns and dtypes
• DataFrame.from_pandas: Add argument dtypes
• DataFrame.full_join: Speed up
• DataFrame.read_csv: Add argument dtypes
• DataFrame.read_json: Add arguments columns and dtypes
• GeoJSON.read: Add arguments columns and dtypes
• ListOfDicts.fill_missing: New method
• ListOfDicts.from_json: Add arguments keys and types
• ListOfDicts.full_join: Speed up
• ListOfDicts.read_csv: Add argument types, rename columns to keys
• ListOfDicts.read_json: Add arguments keys and types