Python Seaborn

Seaborn

Searborn use examples

seaborn

In Jupyter notebook type %matplotlib before writing the seaborn code.

In plain Python import matplotlib, then assign the result of the ploting function to a variable, and call matplotlib.pyplot.show(r).

Seaborn tip

"""
Source : https://seaborn.pydata.org/introduction.html
"""

import seaborn as sns

sns.set()  # Apply the default default seaborn theme, scaling, and color palette. Optional.

tips = sns.load_dataset("tips")  # Load example dataset into Pandas DataFrame
#print(type(tips))

# print(tips)

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

# print(type(plot))    # seaborn.axisgrid.FacetGrid
plot.savefig("tips.png")

Seaborn Anscombes Quartet

"""
Anscombe's quartet
==================

_thumb: .4, .4

Source: https://seaborn.pydata.org/examples/anscombes_quartet.html 
"""
import seaborn as sns
import matplotlib
sns.set(style="ticks")

# Load the example dataset for Anscombe's quartet
df = sns.load_dataset("anscombe")

# Show the results of a linear regression within each dataset
r = sns.lmplot(
    x="x",
    y="y",
    col="dataset",
    hue="dataset",
    data=df,
    col_wrap=2,
    ci=None,
    palette="muted",
    height=4,
    scatter_kws={"s": 50, "alpha": 1})

matplotlib.pyplot.show(r)