v0.0.19

New Features

• add make_future_dataframe and anti_join functions by @jmoralez in #45

v0.0.18

New Features

• add validate_freq function @jmoralez (#44)

v0.0.17

Bug Fixes

• handle month ends for polars in time_ranges @jmoralez (#43)

v0.0.16

Bug Fixes

• handle month ends for polars in offset_times @jmoralez (#42)

v0.0.15

New Features

• support polars dataframe in fill_gaps @jmoralez (#41)
• add cv_times, time_ranges and repeat functions @jmoralez (#40)

v0.0.14

New Features

• add ensure_time_dtype and handle pandas nullable dtypes in validate_format @jmoralez (#38)
• support more frequencies in generate_series @jmoralez (#37)

v0.0.13

New Features

• add backtest_splits @jmoralez (#36)

Documentation

• redirect to mintlify docs @jmoralez (#34)
• Fix parsing errors & add mint.json @hahnbeelee (#30)

Enhancement

• grouped array enhancements @jmoralez (#35)

v0.0.12

New Features

• add cast function @jmoralez (#29)

Enhancement

• add match_categories argument to vertical_concat @jmoralez (#28)

v0.0.11

New Features

• add more functions to processing @jmoralez (#27)

Bug Fixes

• restore offset in zero scale transforms @jmoralez (#25)

Enhancement

• stub package @jmoralez (#26)
• validate df type in validate_format @jmoralez (#23)

v0.0.10

Bug Fixes

• dont transform when scale is zero @jmoralez (#19)

Enhancement

• extract maybe_compute_sort_indices to function @jmoralez (#21)
• extract to_numpy and counts_by_id as separate individual functions @jmoralez (#20)