JointGrid

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.

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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()

Taak

Swipe to start coding

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.

Oplossing

import warnings

# Ignore all warnings

warnings.filterwarnings('ignore')

# Importing libraries needed

import pandas as pd

import seaborn as sns

import matplotlib.pyplot as plt

# Reading the file

df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656/penguins_upd.csv')

# Set the 'ticks' style with the 'lightcyan' facecolor

sns.set_style('ticks', {'figure.facecolor' : 'lightcyan'})

# Create a JointGrid variable

g = sns.JointGrid(# Set the x

x = 'bill_length_mm',

# Set the y

y = 'bill_depth_mm',

# Set the hue

hue = 'species',

# Set the palette

palette = 'viridis',

# Set the data

data = df)

# Set the inside plot using the .plot_joint() function

g.plot_joint(# Create a scatterplot

sns.scatterplot,

# Set the alpha

alpha = 0.5,

# Set the edgecolor

edgecolor = 'pink',

# Set the linewidth

linewidth = 1)

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

g.plot_marginals(# Create the histplot

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Sectie 5. Hoofdstuk 3

import warnings

# Ignore all warnings

warnings.filterwarnings('ignore')

# Importing libraries needed

import pandas as pd

import seaborn as sns

import matplotlib.pyplot as plt

# Reading the file

df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656/penguins_upd.csv')

# Set the 'ticks' style with the 'lightcyan' facecolor

sns.set_style('___', {'figure.facecolor' : '___'})

# Create a JointGrid variable

g = ___(# Set the x

___,

# Set the y

___ = 'bill_depth_mm',

# Set the hue

hue = '___',

# Set the palette

___ = 'viridis',

# Set the data

data = ___)

# Set the inside plot using the .plot_joint() function

___(# Create a scatterplot

sns.___,

# Set the alpha

___ = 0.5,

# Set the edgecolor

___ = 'pink',

# Set the linewidth

___)

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

g.___(# Create the histplot

___,

# Set the kde

___)

# Displaying the plot

plt.show()

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