Metadata-Version: 2.1
Name: easyeda
Version: 1.4
Summary: A useful tool to Exploratory Data Analysis
Home-page: https://github.com/lyhue1991/easyeda
Author: PythonAiRoad
Author-email: lyhue1991@163.com
License: UNKNOWN
Description: ## 1，Introduction
        
        The easyeda is a simple but useful tool to do Exploratory Data Analysis in Machine Learning.
        It can be used in both classification task and regression task. 
        
        
        ## 2，Use Example
        
        First, you can use pip to install easyeda.
        
        ```bash
        pip install easyeda
        ```
        
        Then, you can use it like below.
        
        ```python
        from easyeda.eda import eda
        import pandas ad pd
        from sklearn import datasets
        from sklearn.model_selection import train_test_split
        
        ## 
        boston = datasets.load_boston()
        df = pd.DataFrame(boston.data,columns = boston.feature_names)
        df["label"] = boston.target
        dftrain,dftest = train_test_split(df,test_size = 0.3)
        dfeda = eda(dftrain,dftest,language="Chinese")
        
        ```
        
        ### 3，Contact to the author
        
        Github:  https://github.com/lyhue1991/easyeda
        
        Email: lyhue1991@163.com
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.0
Description-Content-Type: text/markdown
