[seaborn]catplot方法部分参数小结

方法签名

seaborn.catplot(x=None, y=None, hue=None, data=None, row=None, col=None, col_wrap=None, estimator=, ci=95, n_boot=1000, units=None, order=None, hue_order=None, row_order=None, col_order=None, kind='strip', height=5, aspect=1, orient=None, color=None, palette=None, legend=True, legend_out=True, sharex=True, sharey=True, margin_titles=False, facet_kws=None, **kwargs)

通过kind生成不同类别的图, kind的取值有: strip, swarm, box, violin,boxen,point, bar, count. strip为默认值.

数据取样:

exercise = sns.load_dataset("exercise")
logger.info("data sample:\n%s", exercise.sample(10))

    Unnamed: 0  id     diet  pulse    time     kind
6            6   3  low fat     97   1 min     rest
7            7   3  low fat     97  15 min     rest
9            9   4  low fat     80   1 min     rest
64          64  22  low fat    104  15 min  running
74          74  25  low fat    116  30 min  running
39          39  14  low fat     95   1 min  walking
54          54  19   no fat     97   1 min  walking
53          53  18   no fat    101  30 min  walking
32          32  11  low fat     84  30 min  walking
66          66  23  low fat     98   1 min  running

作图

1) 基本图

g = sns.catplot(x="time", y="pulse", hue="kind", data=exercise)

2) kind=violin

g = sns.catplot(x="time", y="pulse", hue="kind", data=exercise, kind="violin")

3) col参数, 指定某一切面来考察数据

g = sns.catplot(x="time", y="pulse", hue="kind", col="diet", data=exercise)

4) 考察切面时, 利用height, aspect参数

height : scalar, optional

Height (in inches) of each facet. See also: aspect.

aspect : scalar, optional

Aspect ratio of each facet, so that aspect * height gives the width of each facet in inches.

g = sns.catplot(x="time", y="pulse", hue="kind", col="diet", data=exercise, height=5, aspect=.8)

5) 切面时, 使用参数 col_wrap, 指定每排展示的个数.

g = sns.catplot(x="time", y="pulse", hue="kind", col="kind", col_wrap=2, data=exercise, height=5, aspect=.8)

可以看出, 每排被限定到了2个.

 

来自:

1) http://seaborn.pydata.org/generated/seaborn.catplot.html#seaborn.catplot