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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()
Task

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

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SectionΒ 5. ChapterΒ 3
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bookJointGrid

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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()
Task

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

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Everything was clear?

How can we improve it?

Thanks for your feedback!

close

Awesome!

Completion rate improved to 4.35
SectionΒ 5. ChapterΒ 3
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