Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.FacetGrid | Multi-Plot Grids
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

bookFacetGrid

The time to learn the cool plots we were talking about!

A useful approach to exploring medium-dimensional data is by drawing multiple instances of the same plot on different subsets of your dataset.

FacetGrid object takes a DataFrame as input and the names of the variables that will form the grid's row, column, or hue dimensions. The variables should be categorical, and the data at each level of the variable will be used for a facet along that axis.

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

Task

  1. Set the 'whitegrid' style with the 'cornsilk' axes.facecolor.
  2. Create a FacetGrid variable g:
  • Set the data for the FacetGrid;
  • Set the col parameter equals the 'day';
  • Set the row parameter equals the 'smoker';
  • Set the height parameter equals 3.

Implement the .map() function to build histplots:

  • Create histplots;
  • Set the 'olive' color for the histplots;
  • Add the kde parameter;
  • Disable the fill parameter;
  • Set the binwidth equals 4;
  • Display the plot.

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 1
toggle bottom row

bookFacetGrid

The time to learn the cool plots we were talking about!

A useful approach to exploring medium-dimensional data is by drawing multiple instances of the same plot on different subsets of your dataset.

FacetGrid object takes a DataFrame as input and the names of the variables that will form the grid's row, column, or hue dimensions. The variables should be categorical, and the data at each level of the variable will be used for a facet along that axis.

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

Task

  1. Set the 'whitegrid' style with the 'cornsilk' axes.facecolor.
  2. Create a FacetGrid variable g:
  • Set the data for the FacetGrid;
  • Set the col parameter equals the 'day';
  • Set the row parameter equals the 'smoker';
  • Set the height parameter equals 3.

Implement the .map() function to build histplots:

  • Create histplots;
  • Set the 'olive' color for the histplots;
  • Add the kde parameter;
  • Disable the fill parameter;
  • Set the binwidth equals 4;
  • Display the plot.

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 1
toggle bottom row

bookFacetGrid

The time to learn the cool plots we were talking about!

A useful approach to exploring medium-dimensional data is by drawing multiple instances of the same plot on different subsets of your dataset.

FacetGrid object takes a DataFrame as input and the names of the variables that will form the grid's row, column, or hue dimensions. The variables should be categorical, and the data at each level of the variable will be used for a facet along that axis.

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

Task

  1. Set the 'whitegrid' style with the 'cornsilk' axes.facecolor.
  2. Create a FacetGrid variable g:
  • Set the data for the FacetGrid;
  • Set the col parameter equals the 'day';
  • Set the row parameter equals the 'smoker';
  • Set the height parameter equals 3.

Implement the .map() function to build histplots:

  • Create histplots;
  • Set the 'olive' color for the histplots;
  • Add the kde parameter;
  • Disable the fill parameter;
  • Set the binwidth equals 4;
  • Display the plot.

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!

The time to learn the cool plots we were talking about!

A useful approach to exploring medium-dimensional data is by drawing multiple instances of the same plot on different subsets of your dataset.

FacetGrid object takes a DataFrame as input and the names of the variables that will form the grid's row, column, or hue dimensions. The variables should be categorical, and the data at each level of the variable will be used for a facet along that axis.

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

Task

  1. Set the 'whitegrid' style with the 'cornsilk' axes.facecolor.
  2. Create a FacetGrid variable g:
  • Set the data for the FacetGrid;
  • Set the col parameter equals the 'day';
  • Set the row parameter equals the 'smoker';
  • Set the height parameter equals 3.

Implement the .map() function to build histplots:

  • Create histplots;
  • Set the 'olive' color for the histplots;
  • Add the kde parameter;
  • Disable the fill parameter;
  • Set the binwidth equals 4;
  • Display the plot.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 5. Chapter 1
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
some-alt