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显示使用的数据
%matplotlib inline 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") tips.head()
运行结果:
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指定展示的信息
g = sns.FacetGrid(tips, col="time")
运行结果:
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透明度
g = sns.FacetGrid(tips, col="sex", hue="smoker") g.map(plt.scatter, "total_bill", "tip", alpha=.7) g.add_legend();
运行结果:
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其他应用
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);
运行结果:
g = sns.FacetGrid(tips, col="day", size=4, aspect=.5) g.map(sns.barplot, "sex", "total_bill");
运行结果:
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绘制先后顺序
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")
运行结果:
来源:CSDN
作者:关关雎鸠儿
链接:https://blog.csdn.net/weixin_42260102/article/details/103465040