Metadata-Version: 2.1
Name: vayner-clean
Version: 0.1.3
Summary: Library for cleaning advertising data from Tracer
Home-page: 
Author: Will Butler
Author-email: will.butler@vaynermedia.com
License: MIT
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: regex
Requires-Dist: gspread

# Getting Started 
This library has generic functions for cleaning advertising data such as standardising column
names between platforms and countries or extracting a Country like "France" from a string column

## Library Installation
```
pip install vaynerclean
```
To upgrade the library after an update
```
pip install vayner-clean --upgrade
```

## Importing the Library
```
from vee_clean import cleaning_functions as clean
```

## Usage in code
In this example we will be using the cleaning library to clean and standardise column names in a dataframe 

```
fb_organic = clean.clean_column_names(fb_organic_temp)
```


