Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.Apprendre JointGrid | Multi-Plot Grids
Deep Dive into the seaborn Visualization

bookJointGrid

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.

carousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-img
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()
Tâche

Swipe to start coding

  1. Set the 'ticks' style with the 'lightcyan' figure.facecolor.
  2. 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.

Solution

Tout était clair ?

Comment pouvons-nous l'améliorer ?

Merci pour vos commentaires !

Section 5. Chapitre 3
single

single

Demandez à l'IA

expand

Demandez à l'IA

ChatGPT

Posez n'importe quelle question ou essayez l'une des questions suggérées pour commencer notre discussion

Suggested prompts:

Résumer ce chapitre

Expliquer le code dans file

Expliquer pourquoi file ne résout pas la tâche

close

Awesome!

Completion rate improved to 4.35

bookJointGrid

Glissez pour afficher le menu

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.

carousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-img
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()
Tâche

Swipe to start coding

  1. Set the 'ticks' style with the 'lightcyan' figure.facecolor.
  2. 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.

Solution

Switch to desktopPassez à un bureau pour une pratique réelleContinuez d'où vous êtes en utilisant l'une des options ci-dessous
Tout était clair ?

Comment pouvons-nous l'améliorer ?

Merci pour vos commentaires !

Section 5. Chapitre 3
single

single

some-alt