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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.

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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()
Tehtävä

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  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.

Ratkaisu

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bookJointGrid

Pyyhkäise näyttääksesi valikon

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()
Tehtävä

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.

Ratkaisu

Switch to desktopVaihda työpöytään todellista harjoitusta vartenJatka siitä, missä olet käyttämällä jotakin alla olevista vaihtoehdoista
Oliko kaikki selvää?

Miten voimme parantaa sitä?

Kiitos palautteestasi!

close

Awesome!

Completion rate improved to 4.35
Osio 5. Luku 3
single

single

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