机器学习数据自动化分析神器-dataprep

pip install -i https://pypi.douban.com/simple/ dataprep

from dataprep.datasets import load_dataset  # 内置数据集
from dataprep.eda import plot # 绘图
from dataprep.eda import plot_correlation # 相关性
from dataprep.eda import create_report  # 分析报告
from dataprep.eda import plot_missing  # 缺失值

# 导入内置数据
df = load_dataset("titanic")  
# 导入本地数据
# df = pd.read_csv("titanic.csv")

df.head()

df.shape

(891, 12)

df.isnull().sum()

PassengerId      0
Survived         0
Pclass           0
Name             0
Sex              0
Age            177
SibSp            0
Parch            0
Ticket           0
Fare             0
Cabin          687
Embarked         2
dtype: int64

df.dtypes

PassengerId      int64
Survived         int64
Pclass           int64
Name            object
Sex             object
Age            float64
SibSp            int64
Parch            int64
Ticket          object
Fare           float64
Cabin           object
Embarked        object
dtype: object

plot(df)

plot(df, "Age")

plot(df, "Age","Embarked")

plot_correlation(df)  # 相关系数

plot_missing(df)  # 缺失值情况

create_report(df).show()  # 报告