结构化图表可视化
FacetGrid()
1.基本设置
#绘制直方图
示例1：
import numpy as np import pandas as pd import matplotlib.pyplot as plt import seaborn as sns #设置风格、尺度 sns.set_style('ticks') sns.set_context('paper') import warnings warnings.filterwarnings('ignore') #导入数据 tips = sns.load_dataset('tips') print(tips.head()) #创建一个绘图表格区域，设置好row, col并分组 g = sns.FacetGrid(tips, col = 'time', row = 'smoker') #以total_bill 字段数据分别做直方图统计 g.map(plt.hist, 'total_bill', alpha = 0.5, color = 'k', bins = 10)
示例2：
g = sns.FacetGrid(tips, col = 'day', size = 4, #图表大小 aspect = 0.5 #图表长宽比 ) g.map(plt.hist, 'total_bill', bins = 10, histtype = 'step', #'bar', 'barstacked', 'step', 'stepfilled' color = 'k')
示例3：
g = sns.FacetGrid(tips, col = 'time', row = 'smoker') g.map(plt.scatter, 'total_bill','tip', #share(x,y) ---> 设置x，y数据 edgecolor = 'w', s = 40, linewidth = 1 #设置点大小，描边宽度及颜色 ) #添加图例 g.add_legend()
示例4：
#创建一个绘图表格区域，设置好col并分组，按hue分类 g = sns.FacetGrid(tips, col = 'time', hue = 'smoker') g.map(plt.scatter, 'total_bill','tip', #share(x,y) ---> 设置x，y数据 edgecolor = 'w', s = 40, linewidth = 1 #设置点大小，描边宽度及颜色 ) #添加图例 g.add_legend()
2.图表矩阵
#加载数据 attend = sns.load_dataset('attention') print(attend.head()) g = sns.FacetGrid(attend, col = 'subject', col_wrap=5,#设置每行的图表数量 size = 1.5 ) #绘制图表矩阵 g.map(plt.plot, 'solutions', 'score', marker = 'o', color = 'gray', linewidth = 2) #设置x,y轴刻度 g.set(xlim = (0,4), ylim = (0,10), xticks = [0,1,2,3,4], yticks = [0,2,4,6,8,10] )
