Python编程使用matplotlib挑钻石seaborn画图入门教程

import seaborn as sns
import matplotlib.pyplot as plt
# 本地加载数据集
dia = sns.load_dataset("diamonds",data_home="seaborn-data", cache=True)
# 以上几行代码后面不再重复书写
sns.scatterplot(x=dia['x'],y=dia['y'],size=5)
plt.show()  #用于显示图片，后文就不写了

f, ax = plt.subplots(figsize=(6.5, 6.5))
sns.set_theme(style="whitegrid")
sns.despine(f, left=True, bottom=True)
clarity =  ["I1", "SI2", "SI1", "VS2", "VS1", "VVS2", "VVS1", "IF"]   #颜色深浅的顺序
sns.scatterplot(x="carat", y="price",         #声明x轴和y轴的值
    hue="clarity", size="depth",  #clarity和depth分别调控颜色和尺寸
    palette="ch:rot=-.2,d=.3_r",    #调色板
    style_order=clarity,sizes=(1,10), #颜色标识的顺序和尺寸范围
    linewidth=0,data=dia, ax=ax)
plt.show()

fig, ax = plt.subplots(figsize=(6.5, 6.5))
sns.set_theme(style="whitegrid")
sns.despine(fig, left=True, bottom=True)
sns.scatterplot(data = dia, x="carat", y="price",
    style="cut",hue='cut',
    linewidth=0)
plt.show()

sns.lmplot(data=dia, x="carat", y="price",hue='cut',markers = '.')
plt.show()

# 左图代码
sns.jointplot(data=dia, x="carat", y="price",xlim=(0,3),ylim=(0,17500), ratio=10,kind='hex',color="#4CB391")
# 右图代码
sns.jointplot(data=dia, x="carat", y="price",hue='cut', xlim=(0,3),ylim=(0,17500), ratio=10,marker='.')