Version 2023.8.2

What's Changed

• update link to warnings list by @deppen8 in #132
• Bump version 2023.8.1 → 2023.8.2 by @deppen8 in #133

Full Changelog: v2023.8.1...v2023.8.2

Version 2023.8.1

What's Changed

• fix link to docs in README by @deppen8 in #131

Full Changelog: v2023.8.0...v2023.8.1

Version 2023.8.0

What's Changed

• Fix typo in README.md by @jamesmyatt in #118
• Modernize pkg by @deppen8 in #122
• Add docs by @deppen8 in #123
• Add cleaner GH Actions by @deppen8 in #124
• fix doc artifact path by @deppen8 in #125
• Kp lauritzen/master by @deppen8 in #121
• Change recommendation from .array/.to_array() to .to_numpy() by @KPLauritzen in #115
• fix(pd002): Avoid crashing with inplace and variable by @deppen8 in #127
• big docs overhaul by @deppen8 in #128
• add ReadtheDocs config by @deppen8 in #129
• disable epub by @deppen8 in #130

New Contributors

• @jamesmyatt made their first contribution in #118
• @KPLauritzen made their first contribution in #115

Full Changelog: v0.2.3...v2023.8.0

Version 0.2.3

This version contains an important fix for #98.

How to get it?

From PyPI:

pip install pandas-vet

From conda-forge:

conda install -c conda-forge pandas-vet

Version 0.2.1

This version contains a few small fixes. Most notably, it fixes a bug with the PD015 check.

How to get it?

From PyPI:

pip install pandas-vet

From conda-forge:

conda install -c conda-forge pandas-vet

[0.2.1] - 2019-07-27

Added

• Leandro Leites added as contributor (#66)

Removed

• Unnecessary commented line from setup.py (#67)

Fixed

• PD015 would fail if node.func.value did not have an id. Fixed with #65
• version.py now correctly uses v0.2.x. This version file was not bumped with the last release. (#67)

Version 0.2.0

How to get it?

Available on PyPI at https://pypi.org/project/pandas-vet/0.2.0/

pip install pandas-vet

New warnings in v0.2.0

PD010 '.pivot_table' is preferred to '.pivot' or '.unstack'; provides same functionality

PD011 Use '.array' or '.to_array()' instead of '.values'; 'values' is ambiguous

PDO12 '.read_csv' is preferred to '.read_table'; provides same functionality

PD013 '.melt' is preferred to '.stack'; provides same functionality

PD015 Use '.merge' method instead of 'pd.merge' function. They have equivalent functionality.

Full list of implemented warnings

PD001: pandas should always be imported as 'import pandas as pd'

PD002: 'inplace = True' should be avoided; it has inconsistent behavior

PD003: '.isna' is preferred to '.isnull'; functionality is equivalent

PD004: '.notna' is preferred to '.notnull'; functionality is equivalent

PD005: Use arithmetic operator instead of method

PD006: Use comparison operator instead of method

PD007: '.ix' is deprecated; use more explicit '.loc' or '.iloc'

PD008: Use '.loc' instead of '.at'. If speed is important, use numpy.

PD009: Use '.iloc' instead of '.iat'. If speed is important, use numpy.

PD010 '.pivot_table' is preferred to '.pivot' or '.unstack'; provides same functionality

PD011 Use '.array' or '.to_array()' instead of '.values'; 'values' is ambiguous

PDO12 '.read_csv' is preferred to '.read_table'; provides same functionality

PD013 '.melt' is preferred to '.stack'; provides same functionality

PD015 Use '.merge' method instead of 'pd.merge' function. They have equivalent functionality.

Version 0.1.0

How to get it?

Available on PyPI at https://pypi.org/project/pandas-vet/0.1.0/

List of implemented warnings

PD001: pandas should always be imported as 'import pandas as pd'

PD002: 'inplace = True' should be avoided; it has inconsistent behavior

PD003: '.isna' is preferred to '.isnull'; functionality is equivalent

PD004: '.notna' is preferred to '.notnull'; functionality is equivalent

PD005: Use arithmetic operator instead of method

PD006: Use comparison operator instead of method

PD007: '.ix' is deprecated; use more explicit '.loc' or '.iloc'

PD008: Use '.loc' instead of '.at'. If speed is important, use numpy.

PD009: Use '.iloc' instead of '.iat'. If speed is important, use numpy.