1. Grundlagen

aus https://seaborn.pydata.org/introduction.html

# Import seaborn
import seaborn as sns

# Apply the default theme
sns.set_theme()

# Load an example dataset
tips = sns.load_dataset("tips")

# Create a visualization
sns.relplot(
    data=tips,
    x="total_bill", y="tip", col="time",
    hue="smoker", style="smoker", size="size",
)

<seaborn.axisgrid.FacetGrid at 0x1b0bb41bdf0>
../../_images/Grundlagen_1_1.png 
sns.lmplot(data=tips, x="total_bill", y="tip", col="time", hue="smoker")

<seaborn.axisgrid.FacetGrid at 0x1b0bb578670>
../../_images/Grundlagen_2_11.png 
sns.displot(data=tips, x="total_bill", col="time", kde=True)

<seaborn.axisgrid.FacetGrid at 0x1b0bb674700>
../../_images/Grundlagen_3_1.png 
sns.catplot(data=tips, kind="swarm", x="day", y="total_bill", hue="smoker")

<seaborn.axisgrid.FacetGrid at 0x1b0bb6d0430>
../../_images/Grundlagen_4_1.png 
sns.catplot(data=tips, kind="violin", x="day", y="total_bill", hue="smoker", split=True)

<seaborn.axisgrid.FacetGrid at 0x1b0bc8dfa30>
../../_images/Grundlagen_5_1.png 
sns.catplot(data=tips, kind="bar", x="day", y="total_bill", hue="smoker")

<seaborn.axisgrid.FacetGrid at 0x1b0bc8f27c0>
../../_images/Grundlagen_6_1.png 
penguins = sns.load_dataset("penguins")
sns.jointplot(data=penguins, x="flipper_length_mm", y="bill_length_mm", hue="species")

<seaborn.axisgrid.JointGrid at 0x1b0bcb7bf40>
../../_images/Grundlagen_7_1.png
Seaborn 2. Externes Infomaterial