封装的工具-seaborn

##封装的工具-seaborn
import numpy as np
import pandas as pd
import seaborn as sns
df = pd.read_csv("E:/py_learning/day2/plot_df.csv")
##每一个点都显示出来，但当点多时，点对点会造成遮掩
df

sns.jointplot(x="x1",y="y",data=df)##注意这里引号的名字要与列表名字保持一致
sns.__version__
dir(sns)
##k代表黑色，因为b代表blue，kind表示内部形状
sns.jointplot(x="x1",y="y",kind="hex",color="k",data=df)

df = pd.read_csv("E:/py_learning/day2/titanic.csv")
df.dtypes

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

df_select = df.loc[:,["Age","Fare","Sex"]]
sns.pairplot(data=df_select)

df_select_2 = df.loc[:,["Age","Fare","Fare"]]
##改列名
df_select_2.columns=["Age","Fare","Fare2"]
sns.pairplot(data=df_select_2)

##heatmap
np_data = np.random.rand(10,12) ##10行12列
sns.heatmap(data=np_data)