About The Project
This is a small Python Function that allows you to see the variance, percentage of missing values and unique values within a dataset.
pip install quickpt
from quickpt.quickpt import quickpt
quickpt(df, graph=None, encode=True, width=800, height=400)More information on the project
"""
quickpt
---------
Creates a DataFrame showing the missing values, total unique values, data type, and variance of each feature.
If the argument graph is passed, then a bar chart of the specified parameter is visualized.
Parameters
----------
graph : var, null, uniq
(default is None)
encode : True, False
(default is True)
width : int
(default is 800)
height : int
(default is 400)
Description of Parameters
-------
- var = variance
- null = percent of missing values in decimal form
- uniq = sum of unique values
- encode --> True = Uses LabelEncoder to encode categorical variables and receive summary statistics
- encode --> False = Only shows DataFrame/Visualization of original numeric variables of input data
- width = update graph width
- height = update graph height
Use
----
- Used on preprocessed datasets that have only numerical features
- If data has categorical features set encoder=True to temporarily LabelEncode categorical features
"""
Contributing
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
