update

README.md

@@ -36,20 +36,19 @@ data = [
 columns = ["col1", "col2", "col3", "col4", "col5"]
 categorical = set(("col2", "col3", "col4"))
 
-def main():
-    df = pd.DataFrame(data=data, columns=columns)
+df = pd.DataFrame(data=data, columns=columns)
 
-    for name in categorical:
-        df[name] = df[name].astype("category")
+for name in categorical:
+  df[name] = df[name].astype("category")
 
-    feature_columns = ["col1", "col2", "col3"]
-    sensitive_column = "col4"
+feature_columns = ["col1", "col2", "col3"]
+sensitive_column = "col4"
 
-    p = anonypy.Preserver(df, feature_columns, sensitive_column)
-    rows = p.anonymize_k_anonymity(k=2)
+p = anonypy.Preserver(df, feature_columns, sensitive_column)
+rows = p.anonymize_k_anonymity(k=2)
 
-    dfn = pd.DataFrame(rows)
-    print(dfn)
+dfn = pd.DataFrame(rows)
+print(dfn)
 ```
 
 Original data
@@ -77,3 +76,9 @@ The created anonymized data is below(Guarantee 2-anonymity).
 5    8    2  test3,test2    w      1
 6    8    2  test3,test2    x      1
 ```
+
+## Publish PyPI
+```
+$ python -m build --wheel .
+$ python -m twine upload dist/*
+```

pyproject.toml

@@ -1,10 +1,16 @@
 [project]
 name = "anonypy"
-version = "0.2.0"
+version = "0.2.1"
+authors = [{ name="glassonion1", email="[email protected]" }]
+requires-python = ">=3.10"
+readme = "README.md"
 description = "Anonymization library for python"
 keywords = ["k-anonymity","l-diversity","t-closeness","mondrian"]
 [build-system]
-requires = ["setuptools"]
-build-backend = "setuptools.build_meta"
+requires = ["hatchling"]
+build-backend = "hatchling.build"
 [tool.setuptools]
-py-modules = []
+py-modules = []
+[project.urls]
+Homepage = "https://github.com/glassonion1/anonypy"
+"Bug Tracker" = "https://github.com/glassonion1/anonypy/issues"