Metadata-Version: 2.1
Name: randomcsv
Version: 0.1.3
Summary: For generating specific CSVs for testing data piplines
Home-page: https://github.com/PhilipBuhr/randomCsv
Author: Philip Buhr
Author-email: philip.buhr@buhrwerk.de
License: MIT
Download-URL: https://github.com/PhilipBuhr/randomCsv/archive/0.1.0.tar.gz
Description: # RandomCSV
        
        This library let's you generate CSV files with a specific structure, but 
        random data. These CSVs can be used as test data when developing data pipelines.
        
        ## Usage
        ```python
        from randomcsv import *
        
        
        generator = CsvGenerator()
        
        # adds a column filled with integers, starting at 100, incrementing
        generator.add_column(IntColumn("Integers", start=100))  
        
        # adds a column filled with strings, currently first names from the firstNames.txt dictionary
        generator.add_column(StringColumn("Names"))
        
        # add a column filled with random float values between 10 and 20 rounded to 2 digits.
        generator.add_column(RandomNumberColumn("Random", low=10, high=20, digits=2))
        
        # adds a column, values are randomly picked from the provided list
        generator.add_column(CategoryColumn("Categories", [1, 2, 3, 4]))
        
        # adds a column with name "Calculated", based on Columns Integers and Class
        # the arguments of the given function must match order and type of the values of the columns
        generator.calculate_column("Calculated", ["Integers", "Categories"],
                                   lambda number, category: f'{number} {category}')
        
        # creates pandas DataFrame with 5 rows
        data_frame = generator.generate_data_frame(5) 
        # creates CSV file in directory "output"
        generator.create_csv(5, "test.csv")
        ```
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
