v0.4.11

Changes:

• chore: increase max pandas to <=2.3.3 to avoid building from source for Python 3.14 (#282)

v0.4.10

Changes:

• fix: various fixes and improvements for stata (#278)
• chore: drop Python 3.9 and support Python 3.14 (#280)

v0.4.9

Changes:

• Update notebooks for Numpy version 2 compatibility (#258)
• Cap scipy<1.16.0 (#266)

v0.4.8

Changes:

• Add support for Numpy version 2 (#247)

v0.4.7

Changes:

• Add support for Pandas version 2 (#237)

v.0.4.6

Changes:

• Add mode aggregation function (#194)
• Update Stata examples (#197)
• Various minor bug fixes, including fixing suppression when margins=True
• Update CI (#207, #208)
• Update packaging (#209)
• Improve robustness of create_dataframe() (#211)
• Add Ruff linting/formatting (#210, #214)
• PEP 257 docstring formatting (#212)
• Remove useless pylint suppression (#213)
• Fix code coverage reporting (#215)
• Limit numpy dependency to less than v2.0.0 (#220)

v.0.4.5: Merge pull request #185 from AI-SDC/jim-smith-patch-1

Minor fixes to version numbers and changelog

v.0.4.4

What's Changed

• Update table suppression when totals are true
• update margins in pivot_table
• Delete folders after tests
• updating crosstab
• Update test.ipynb
• histogram
• Update docs
• Update the finalise func
• Updating the R help func
• adding histogram and kaplan meier to R
• updating pivot_table

Full Changelog: v.0.4.3...v.0.4.4

v.0.4.3

Changes:

• Add installation support for Python 3.8 and 3.9 (#135)
• Add a directory of outputs to an acro object and creates a results file for checking (#130)
• Improve screen formatting of tables (#139)
• Integrate Stata support (#142)
• Fix crosstab when index or columns is a list and there is an aggregation function (#147)
• Add support for survival analysis (#145)
• Update pandas version dependency to 1.5 (#150)
• Refactor ACRO class (#152)
• Adding support for table function in R (#153)

v.0.4.2

Changes:

• Use INFO for exception handling finalise prompt (#116)
• Add version number to INFO (#116)
• Update R wrapper (#116)