目錄

獲取是否付小費資料

regplot（）和lmplot（）都可以繪製迴歸關係，推薦regplot（）

sns.lmplot(x="x", y="y", data=XXX, order=2); #曲線

利用hue引數畫出男女給予小費的不同

sns.lmplot(palette="Set1");#lmplot中加入調色盤palette

sns.lmplot(col="time", row="sex");#lmplot中加入col、row引數

引數ax

col_wrap:“包裝”列變數在這個寬度,這列方面跨越多個行

size :身高(英寸)的每個方面

獲取是否付小費資料

#!/usr/bin/python
# -*- coding: UTF-8 -*-

# %matplotlib inline
import numpy as np
import pandas as pd
import matplotlib as mpl
import matplotlib.pyplot as plt

import seaborn as sns
sns.set(color_codes=True)
np.random.seed(sum(map(ord, "regression")))
tips = sns.load_dataset("tips")
print(tips.head())
'''
   total_bill   tip     sex smoker  day    time  size
0       16.99  1.01  Female     No  Sun  Dinner     2
1       10.34  1.66    Male     No  Sun  Dinner     3
2       21.01  3.50    Male     No  Sun  Dinner     3
3       23.68  3.31    Male     No  Sun  Dinner     2
4       24.59  3.61  Female     No  Sun  Dinner     4
'''
 

regplot（）和lmplot（）都可以繪製迴歸關係，推薦regplot（）

sns.regplot(x="total_bill", y="tip", data=tips)

sns.lmplot(x="total_bill", y="tip", data=tips);

sns.regplot(data=tips,x="size",y="tip")

sns.regplot(x="size", y="tip", data=tips, x_jitter=.05)

anscombe = sns.load_dataset("anscombe")
sns.regplot(x="x", y="y", data=anscombe.query("dataset == 'I'"),
           ci=None, scatter_kws={"s": 100})
 

anscombe = sns.load_dataset("anscombe")
sns.lmplot(x="x", y="y", data=anscombe.query("dataset == 'II'"),
           ci=None, scatter_kws={"s": 80})

sns.lmplot(x="x", y="y", data=XXX, order=2); #曲線

sns.lmplot(x="x", y="y", data=anscombe.query("dataset == 'II'"),
           order=2, ci=None, scatter_kws={"s": 80});

sns.lmplot(x="x", y="y", data=anscombe.query("dataset == 'I'"),
           order=2, ci=None, scatter_kws={"s": 80});

利用hue引數畫出男女給予小費的不同

sns.lmplot(x="total_bill", y="tip", hue="sex", data=tips);

sns.lmplot(palette="Set1");#lmplot中加入調色盤palette

sns.lmplot(x="total_bill", y="tip", hue="smoker", data=tips,
           markers=["o", "x"], palette="Set1");

colors = ["windows blue", "amber", "greyish", "faded green", "dusty purple"]
sns.lmplot(x="total_bill", y="tip", hue="smoker", data=tips,
           markers=["o", "x"], palette=sns.xkcd_palette(colors));

sns.lmplot(col="time", row="sex");#lmplot中加入col、row引數

sns.lmplot(x="total_bill", y="tip", hue="smoker",
           col="time", row="sex", data=tips);

引數ax

f, ax = plt.subplots(figsize=(5, 5))
sns.regplot(x="total_bill", y="tip", data=tips, ax=ax);

col_wrap:“包裝”列變數在這個寬度,這列方面跨越多個行

size :身高(英寸)的每個方面

sns.lmplot(x="total_bill", y="tip", col="day", data=tips,
           col_wrap=2, size=4);

sns.lmplot(x="total_bill", y="tip", col="day", data=tips,
           col_wrap=3, size=4);

sns.lmplot(x="total_bill", y="tip", col="day", data=tips,
           aspect=.8);