Вивчайте JointGrid | Multi-Plot Grids

JointGrid is a figure-level function, when the function is called a JointGrid object is instantiated. The function creates a JointGrid object consisting of three axes objects but does not plot anything on it.

import pandas as pd
import seaborn as sns
from matplotlib import pyplot as plt

df = pd.read_csv('filename.csv')

# Creating the JointGrid variable
g = sns.JointGrid(x = 'column_name', y = 'column_name', data = df)

# Creating the inside plot
g.plot_joint(sns.scatterplot)

# Creating the outside plot
g.plot_marginals(sns.histplot)

plt.show()

Завдання

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Set the 'ticks' style with the 'lightcyan' figure.facecolor.
Create a JointGrid variable g:

Set the x parameter equals the 'bill_length_mm';
Set the y parameter equals the 'bill_depth_mm';
Set the hue parameter equals the 'species';
Set the 'viridis' palette;
Set the data.

Set the inside plot using the .plot_joint() function using the g variable:

Create a scatterplot using the seaborn;
Set the alpha parameter equals 0.5;
Set the 'pink' edgecolor parameter;
Set the linewidth parameter equals 1.

Set the outside plot using the .plot_marginals() function:

Create the histplot using the seaborn;
Add the kde parameter.

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import pandas as pd
import seaborn as sns
from matplotlib import pyplot as plt

df = pd.read_csv('filename.csv')

# Creating the JointGrid variable
g = sns.JointGrid(x = 'column_name', y = 'column_name', data = df)

# Creating the inside plot
g.plot_joint(sns.scatterplot)

# Creating the outside plot
g.plot_marginals(sns.histplot)

plt.show()