Conteúdo do Curso
Deep Dive into the seaborn Visualization
Deep Dive into the seaborn Visualization
Colors
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.
Swipe to show code editor
Try to set the palette!
Set the 'mako'
palette for the countplot
.
Obrigado pelo seu feedback!
Colors
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.
Swipe to show code editor
Try to set the palette!
Set the 'mako'
palette for the countplot
.
Obrigado pelo seu feedback!
Colors
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.
Swipe to show code editor
Try to set the palette!
Set the 'mako'
palette for the countplot
.
Obrigado pelo seu 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.
Swipe to show code editor
Try to set the palette!
Set the 'mako'
palette for the countplot
.