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Deep Dive into the seaborn Visualization
course content

Course Content

Deep Dive into the seaborn Visualization

Deep Dive into the seaborn Visualization

1. Light Start
Reading the FileColors
2. Distributions of Data
HistplotKdeplotRugplotEcdfplotChallengeDisplot
3. Categorical Plot Types
StripplotSwarmplotBoxplotViolinplotBarplotPointplotChallengeCatplot
4. Matrix Plots
HeatmapClustermap
5. Multi-Plot Grids
FacetGridPairGridJointGrid
6. Regression Models
RegplotLmplot

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.

carousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-img

Task

  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.

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Section 5. Chapter 2
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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.

carousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-img

Task

  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.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 5. Chapter 2
toggle bottom row

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.

carousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-img

Task

  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.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

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

Task

  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.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 5. Chapter 2
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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