Alternative plots

R for Data Science by Wickham & Grolemund

Fitted lines

alternatives: plotly, seaborn

Plotly

import plotly.express as px

px.scatter(mpg, x="displ", y="hwy", color="drv", trendline="lowess")

다음과 같이 smoothing parameter를 지정할 수 있음
자세한 옵션은 여기 참조: plotly linear fits

(
    px.scatter(mpg, x="displ", y="hwy", color="drv", 
               trendline="lowess", trendline_options=dict(frac=0.3)) # smoothing parameter 
    .update_layout(width=600, height=500)
)

(
    px.scatter(penguins, x="bill_length_mm", y="bill_depth_mm", color="species",
               trendline="lowess", trendline_options=dict(frac=0.5),
               facet_col="island", # faceting
               opacity=0.5) # alpha
    .update_layout(width=900, height=400)
)

---

Seaborn: lmplot()

sns.lmplot(mpg, x="displ", y="hwy", hue="drv", # color대신 hue
           lowess=True, 
           scatter_kws={"alpha":.5, "s":20}, # s: point size
           height=3, aspect=5/3) 
plt.show() # 생략해도 무방

penguins = sns.load_dataset("penguins")

sns.lmplot(penguins, x="bill_length_mm", y="bill_depth_mm", hue="species", 
           lowess=True, 
           col="sex", # faceting: col, row
           height=3, scatter_kws={"alpha":.5, "s":5})

Box plot

penguins = sns.load_dataset("penguins")

import plotly.express as px
px.box(penguins.dropna(subset=["sex"]), x="species", y="bill_length_mm", color="island",  facet_col="sex")

Unable to display output for mime type(s): application/vnd.plotly.v1+json

penguins = sns.load_dataset("penguins")

sns.catplot(
    data=penguins, x="species", y="bill_length_mm", hue="sex", col="island",
    kind="box", height=4, aspect=.6,
)
plt.show()