modify readme file

Author: glassonion1

README.md

@@ -1,2 +1,25 @@
-# anonypy
+# AnonyPy
 Anonymization library for python
+
+## Install
+```
+$ pip install anonypy
+```
+
+## Usage
+```python
+import anonypy
+import pandas as pd
+
+def main():
+    path = 'data/adult.test.txt'
+    df = pd.read_csv(path, sep=', ', names=names, engine='python')
+
+    for name in categorical:
+        df[name] = df[name].astype('category')
+
+    feature_columns = ['age', 'education-num']
+    m = anonypy.Mondrian(df, feature_columns)
+    partitions = m.partition(anonypy.is_k_anonymous)
+    print(partitions)
+```

anonypy/__init__.py

@@ -1 +1,2 @@
 from anonypy.anonypy import *
+from .mondrian import Mondrian

setup.py

@@ -1,7 +1,25 @@
 from setuptools import setup, find_packages
+from os import path
+
+here = path.abspath(path.dirname(__file__))
+
+with open(path.join(here, 'README.md'), encoding='utf-8') as f:
+    long_description = f.read()
 
 setup(
     name='anonypy',
-    version='0.1',
-    packages=find_packages()
+    version='0.0.1',
+    packages=find_packages(),
+    author='glassonion1',
+    author_email='glassonion999@gmail.com',
+    description='Anonymization library for python',
+    long_description=long_description,
+    long_description_content_type='text/markdown',
+    keywords='k-anonymity l-diversity t-closeness',
+    classifiers=[
+        "Programming Language :: Python :: 3.8",
+        "Programming Language :: Python :: 3.9",
+        "License :: OSI Approved :: MIT License",
+        "Operating System :: OS Independent",
+    ],
 )

tests/anonypy_test.py

@@ -1,6 +1,5 @@
 import anonypy
 from anonypy import util
-from anonypy import mondrian
 import pandas as pd
 
 names = (
@@ -41,7 +40,7 @@ def test_build_anonymized_dataset():
         df[name] = df[name].astype('category')
 
     feature_columns = ['age', 'education-num']
-    m = mondrian.Mondrian(df, feature_columns)
+    m = anonypy.Mondrian(df, feature_columns)
     finished_partitions = m.partition(anonypy.is_k_anonymous)
 
     print(len(finished_partitions))
@@ -66,13 +65,13 @@ def test_get_spans():
         df[name] = df[name].astype('category')
 
     feature_columns = ['age', 'education-num']
-    m = mondrian.Mondrian(df, feature_columns)
+    m = anonypy.Mondrian(df, feature_columns)
     spans = m._get_spans(df.index)
 
     assert {'age': 73, 'education-num': 15} == spans
 
     feature_columns = ['sex', 'income', 'native-country', 'race']
-    m = mondrian.Mondrian(df, feature_columns)
+    m = anonypy.Mondrian(df, feature_columns)
     spans = m._get_spans(df.index)
 
     assert {'income': 2, 'sex': 2, 'native-country': 41, 'race': 5} == spans