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Colors | Light Start
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
2. Distributions of Data
3. Categorical Plot Types
4. Matrix Plots
5. Multi-Plot Grids
6. Regression Models

bookColors

It is essential to choose the right color for the plot. If your plot looks good, it will be easy to study it.

Note

If you work with different categories - change colors.

If you work with different values - change colors for them.

Pay attention!

These 2 variants of setting the palette show different color results:

  • If you put the palette name with the .set_palette function, the colors will be changed for the plot elements;
  • If you put the palette as an argument in the plot function, colors will be used for the hue variable.

To change the brightness and saturation, you can use these default styles:

To visualize the numeric values, we can use perceptually uniform palettes.

Some more palettes!

Here are presented some more matplotlib colors. You can use them if you're going to set one color for plot elements or customize the plot.

Task
test

Swipe to show code editor

Try to set the palette!

Set the 'mako' palette for the countplot.

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 1. Chapter 2
toggle bottom row

bookColors

It is essential to choose the right color for the plot. If your plot looks good, it will be easy to study it.

Note

If you work with different categories - change colors.

If you work with different values - change colors for them.

Pay attention!

These 2 variants of setting the palette show different color results:

  • If you put the palette name with the .set_palette function, the colors will be changed for the plot elements;
  • If you put the palette as an argument in the plot function, colors will be used for the hue variable.

To change the brightness and saturation, you can use these default styles:

To visualize the numeric values, we can use perceptually uniform palettes.

Some more palettes!

Here are presented some more matplotlib colors. You can use them if you're going to set one color for plot elements or customize the plot.

Task
test

Swipe to show code editor

Try to set the palette!

Set the 'mako' palette for the countplot.

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 1. Chapter 2
toggle bottom row

bookColors

It is essential to choose the right color for the plot. If your plot looks good, it will be easy to study it.

Note

If you work with different categories - change colors.

If you work with different values - change colors for them.

Pay attention!

These 2 variants of setting the palette show different color results:

  • If you put the palette name with the .set_palette function, the colors will be changed for the plot elements;
  • If you put the palette as an argument in the plot function, colors will be used for the hue variable.

To change the brightness and saturation, you can use these default styles:

To visualize the numeric values, we can use perceptually uniform palettes.

Some more palettes!

Here are presented some more matplotlib colors. You can use them if you're going to set one color for plot elements or customize the plot.

Task
test

Swipe to show code editor

Try to set the palette!

Set the 'mako' palette for the countplot.

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!

It is essential to choose the right color for the plot. If your plot looks good, it will be easy to study it.

Note

If you work with different categories - change colors.

If you work with different values - change colors for them.

Pay attention!

These 2 variants of setting the palette show different color results:

  • If you put the palette name with the .set_palette function, the colors will be changed for the plot elements;
  • If you put the palette as an argument in the plot function, colors will be used for the hue variable.

To change the brightness and saturation, you can use these default styles:

To visualize the numeric values, we can use perceptually uniform palettes.

Some more palettes!

Here are presented some more matplotlib colors. You can use them if you're going to set one color for plot elements or customize the plot.

Task
test

Swipe to show code editor

Try to set the palette!

Set the 'mako' palette for the countplot.

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