ミドャヺ - FC2
? ? Pyplot ? Object-Oriented API ? Seaborn
python pythonGoogle Colaboratory Colab
24
Seaborn
? matplotlib
? matplotlib pyplot
?
25
relplot()
? scatterplot([x, y, hue, style, size, data, ...])
g = sns.relplot(x="dose", y="len", hue="supp", data=tg) g = sns.relplot(x="dose", y="len", hue="supp", size="dose",
style="supp", data=tg) plt.show(g)
26
relplot()
? lineplot([x, y, hue, size, style, data, ...])
g = sns.relplot(x="dose", y="len", hue="supp", kind="line", ci=None, data=tg)# g = sns.relplot(x="dose", y="len", hue="supp", kind="line", ci="sd",
err_style="bars", data=tg) # ? g = sns.relplot(x="dose", y="len", hue="supp", kind="line", ci=95, data=tg) # 95%CI plt.show(g)
27
catplot()
? kind="strip"/"swarm"/"box"/"violin"/"boxen"/"point"/"bar"/"count"
g = sns.catplot(x="dose", y="len", hue="supp", data=tg) g = sns.catplot(x="dose", y="len", col="supp", data=tg) # g = sns.catplot(x="dose", hue="supp", kind="count", data=tg) plt.show(g)
28
catplot()
? kind="strip"/"swarm"/"box"/"violin"/"boxen"/"point"/"bar"/"count"
g = sns.catplot(x="dose", y="len", hue="supp", kind="box", data=tg) g = sns.catplot(x="dose", y="len", hue="supp", kind="bar", ci="sd",
data=tg) plt.show(g)
29
distplot()
g = sns.distplot(tg.len) g = sns.distplot(tg.len, hist=False) # g = sns.distplot(tg.len, kde=False) plt.show(g)
30
regplot()lmplot()
g = sns.regplot(x="dose", y="len", data=tg) # g = sns.lmplot(x="dose", y="len", hue="supp",
data=tg) g = sns.lmplot(x="dose", y="len", col="supp",
data=tg) plt.show(g)
31
................
................
In order to avoid copyright disputes, this page is only a partial summary.
To fulfill the demand for quickly locating and searching documents.
It is intelligent file search solution for home and business.
Related download
- dynamic opacity optimization for scatter plots
- cheat sheet seaborn
- ミドャヺ fc2
- a step by step guide for creating advanced python data
- ddos attacks analysis based on machine learning in
- opencourseware advanced programming statistics for data
- choosing colors for data visualization
- statistical methods for data science introduction
- examining the visualization practices of data scientists
- seaborn cheatsheet python data viz tutorial