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Deep Dive into the seaborn Visualization

bookPairGrid

PairGrid is a subplot grid for plotting pairwise relationships in a dataset.

This object maps each variable in a dataset onto a column and row in a grid of multiple axes. Different axes-level plotting functions can be used to draw bivariate plots in the upper and lower triangles, and then the marginal distribution of each variable can be shown on the diagonal.

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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 PairGrid variable
g = sns.PairGrid(df)

# Setting diagonale plots
g.map_diag(sns.histplot)

# Setting non-diagonal plots
g.map_offdiag(sns.scatterplot)

plt.show()
Task

Swipe to start coding

  1. Set the 'ticks' style with the 'lightpink' figure.facecolor.
  2. Create a PairGrid variable using g:
  • Set the data for the g;
  • Set the hue parameter equals the 'species';
  • Set the 'rocket_r' palette.

Set diagonale plots using the .map_diag() function:

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

Set non-diagonale plots using the .map_offdiag() function:

  • Create a scatterplot using the seaborn;
  • Set the linewidth parameter equals 0.9;
  • Set the 'purple' edgecolor parameter.

Solution

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SectionΒ 5. ChapterΒ 2
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bookPairGrid

Swipe to show menu

PairGrid is a subplot grid for plotting pairwise relationships in a dataset.

This object maps each variable in a dataset onto a column and row in a grid of multiple axes. Different axes-level plotting functions can be used to draw bivariate plots in the upper and lower triangles, and then the marginal distribution of each variable can be shown on the diagonal.

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 PairGrid variable
g = sns.PairGrid(df)

# Setting diagonale plots
g.map_diag(sns.histplot)

# Setting non-diagonal plots
g.map_offdiag(sns.scatterplot)

plt.show()
Task

Swipe to start coding

  1. Set the 'ticks' style with the 'lightpink' figure.facecolor.
  2. Create a PairGrid variable using g:
  • Set the data for the g;
  • Set the hue parameter equals the 'species';
  • Set the 'rocket_r' palette.

Set diagonale plots using the .map_diag() function:

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

Set non-diagonale plots using the .map_offdiag() function:

  • Create a scatterplot using the seaborn;
  • Set the linewidth parameter equals 0.9;
  • Set the 'purple' edgecolor parameter.

Solution

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Everything was clear?

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Thanks for your feedback!

SectionΒ 5. ChapterΒ 2
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