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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

book
JointGrid

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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Task
test

Swipe to begin your solution

  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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Section 5. Chapter 3
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book
JointGrid

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
Task
test

Swipe to begin your solution

  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

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 3
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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