v0.3.2

New tibble methods

• .glimpse()

Functionality improvements

• Can now use .plot to access polars plotting
• pl.Null is rexported as tp.Null
• .rename() mapping renamed to _mapping to avoid naming conflicts in
  dplyr interface using kwargs

v0.3.1

Functionality improvements

• if_else() treats string inputs in true and false as strings and not as columns
• case_when() now has syntax closer to dplyr::case_when()

New tibble methods

• .print()

v0.3.0

Major refactor to work with polars>=1.0.0

Functionality improvements

• Convert by arg _by to allow naming columns by in .mutate()/.summarize()
• Convert .to_pandas()/.to_polars() to .as_pandas()/.as_polars()
• Can extract a column using df["x"]

New functions

• as_tibble()
• is_tibble()
• where()

v0.2.19

New functions

• make_date()
• make_datetime()

v0.2.18

polars >=0.14.18 compatibility

v0.2.15

• Added support for python 3.7

v0.2.14

Prep for release

v0.2.13

New functions

• cor()
• cov()
• log()
• log10()
• rep()
• var()

Methods with notable speed improvements

• .separate()

v0.2.12

New Tibble methods

• .unite()

v0.2.11

New functions

• across()
• as_boolean()

Functionality improvements

• Can pass an empty list to by

• .mutate()

  • Column expressions are evaluated sequentially in order to match dplyr semantics
  • Can add a new column with a constant without tp.lit()