18-12-11-視覺化庫Seaborn學習筆記（六：FacetGrid）
引數：
| data ：DataFrame
row，col，hue：strings
col_wrap：int，可選
share{x，y}：bool，'col'或'row'可選
height ：標量，可選
aspect：標量，可選
palette ：調色盤名稱，列表或字典，可選
{row，col，hue} _order
hue_kws：param字典 - >值列表對映
legend_out：bool，可選
despine：布林值，可選
margin_titles：bool，可選
{x，y} lim：元組，可選
subplot_kws：dict，可選
gridspec_kws：dict，可選
|
詳情-建議參考：Seaborn學習（一）------- 構建結構化多繪圖網格（FacetGrid(）、map()）詳解
1、資料準備
#!/usr/bin/python
# -*- coding: UTF-8 -*-
import numpy as np
import pandas as pd
import seaborn as sns
from scipy import stats
import matplotlib as mpl
import matplotlib.pyplot as plt
sns.set(style="ticks")
np.random.seed(sum(map(ord, "axis_grids")))
tips = sns.load_dataset("tips")
print(tips.head())
# 結果
'''
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
'''g = sns.FacetGrid(tips, col="time") # 準備畫框
g = sns.FacetGrid(tips, col="time")
g.map(plt.hist, "tip"); # plt.hist：指定為條形圖； "tip":X軸名稱
g = sns.FacetGrid(tips, col="sex", hue="smoker")
g.map(plt.scatter, "total_bill", "tip", alpha=.7) #alpha透明度
g.add_legend(); # hue="smoker" 的分類標籤
g = sns.FacetGrid(tips, row="smoker", col="time", margin_titles=True)
g.map(sns.regplot, "size", "total_bill", color=".1", fit_reg=False, x_jitter=.1);
g = sns.FacetGrid(tips, col="day", size=4, aspect=.5)
g.map(sns.barplot, "sex", "total_bill");
from pandas import Categorical
ordered_days = tips.day.value_counts().index
print (ordered_days)
ordered_days = Categorical(['Thur', 'Fri', 'Sat', 'Sun'])
g = sns.FacetGrid(tips, row="day", row_order=ordered_days,
size=1.7, aspect=4,)
g.map(sns.boxplot, "total_bill");
pal = dict(Lunch="seagreen", Dinner="gray")
g = sns.FacetGrid(tips, hue="time", palette=pal, size=5)
g.map(plt.scatter, "total_bill", "tip", s=50, alpha=.7, linewidth=.5, edgecolor="white")
g.add_legend();
g = sns.FacetGrid(tips, hue="sex", palette="Set1", size=5, hue_kws={"marker": ["^", "v"]})
g.map(plt.scatter, "total_bill", "tip", s=100, linewidth=.5, edgecolor="white")
g.add_legend();
with sns.axes_style("white"):
g = sns.FacetGrid(tips, row="sex", col="smoker", margin_titles=True, size=2.5)
g.map(plt.scatter, "total_bill", "tip", color="#334488", edgecolor="white", lw=.5);
g.set_axis_labels("Total bill (US Dollars)", "Tip");
g.set(xticks=[10, 30, 50], yticks=[2, 6, 10]);
g.fig.subplots_adjust(wspace=.02, hspace=.02);
#g.fig.subplots_adjust(left = 0.125,right = 0.5,bottom = 0.1,top = 0.9, wspace=.02, hspace=.02)
iris = sns.load_dataset("iris")
g = sns.PairGrid(iris)
g.map(plt.scatter);
g = sns.PairGrid(iris)
g.map_diag(plt.hist)# 對角線與非對角線
g.map_offdiag(plt.scatter);
g = sns.PairGrid(iris, hue="species")
g.map_diag(plt.hist)
g.map_offdiag(plt.scatter)
g.add_legend();
g = sns.PairGrid(iris, vars=["sepal_length", "sepal_width"], hue="species")
g.map(plt.scatter);
g = sns.PairGrid(tips, hue="size", palette="GnBu_d")
g.map(plt.scatter, s=50, edgecolor="white")
g.add_legend();