Python数据处理从零开始----第四章（可视化）(9)线性相关曲线目录

# -*- coding: utf-8 -*-
"""
Created on Mon Nov 19 00:57:53 2018

@author: czh
"""
# In[*]
#导入各种需要的包#
import numpy as np
import matplotlib.pyplot as plt
from scipy import optimize


import seaborn as sns
sns.set()
# In[*]


import seaborn as sns
sns.set(style="darkgrid")

tips = sns.load_dataset("tips")
g = sns.jointplot("total_bill", "tip", data=tips, kind="reg",
                  xlim=(0, 60), ylim=(0, 12), color="m", height=7)

# -*- coding: utf-8 -*-
"""
Created on Mon Nov 19 00:57:53 2018

@author: czh
"""
# In[*]
#导入各种需要的包#
import numpy as np
import matplotlib.pyplot as plt
from scipy import optimize


import seaborn as sns
sns.set()
# In[*]
# Load the iris dataset
iris = sns.load_dataset("iris")

# Plot sepal with as a function of sepal_length across days
g = sns.lmplot(x="sepal_length", y="sepal_width",hue='species',
               truncate=True, height=5, data=iris)

# Use more informative axis labels than are provided by default
g.set_axis_labels("Sepal length (mm)", "Sepal width (mm)")