Metadata-Version: 2.1
Name: databuilder
Version: 0.0.1
Summary: make fake data quick
Home-page: https://github.com/dbusteed/databuilder
Author: Davis Busteed
Author-email: busteed.davis@gmail.com
License: MIT
Description: # DataBuilder
        
        ## Installation
        
        ```
        pip install databuilder
        ```
        
        <br>
        
        ## Basic Usage
        
        ```python
        import databuilder as db
        
        # make a dummy dataset about "our employees"
        config = {
            'fields': {
                'empID':        db.ID(),
                'first_name':   db.Name(first_only=True),
                'last_name':    db.Name(last_only=True),
                'department':   db.Group(["Sales", "Acct", "Mktg", "IT"]),
                'salary':       db.NormalDist(50000, 10000),
                'hire_date':    db.Date("1990-01-01", "2020-12-31")
            }
        }
        
        # create a Pandas DataFrame object with 
        # 200 rows and the fields defined in `config`
        df = db.create_df(config, n=200)
        
        print(df.head(2))
        # Example output:
        #       empID first_name last_name department  salary  hire_date
        #    0      1      Frank      Ward         IT   69210 2004-05-05
        #    1      2    Barbara    George       Mktg   46744 2019-05-20
        ```
        
        <br>
        
        ## MORE COMING SOON
        
        <!-- ## API
        
        ### Fields
        
        Quick ref
        * see this README for more info
        * use the built-in help
        
        ### Options -->
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown
