Metadata-Version: 2.1
Name: easyeda
Version: 1.0
Summary: A useful tool to Exploratory Data Analysis
Home-page: https://github.com/lyhue1991/easyeda
Author: PythonAiRoad
Author-email: lyhue1991@163.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.5
Description-Content-Type: text/markdown
Requires-Dist: pandas (>=0.24.2)
Requires-Dist: tqdm (>=4.31.1)

## 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

```python
from easyeda 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")

```


