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Plots Decoration

Setting Style

seaborn provides the set_style() function specifically for setting the visual style of your plots. This function requires a single mandatory parameter called style. The style parameter accepts several predefined options, each representing a distinct style:

'white'
'dark'
'whitegrid'
'darkgrid'
'ticks'

Feel free to experiment with them:


              12345678910
            
import seaborn as sns
import matplotlib.pyplot as plt

# Setting the style
sns.set_style('darkgrid')

titanic_df = sns.load_dataset('titanic')

sns.countplot(data=titanic_df, x='class')
plt.show()

Setting Palette

Another option is to change the colors of plot elements in seaborn using the set_palette() function, focusing on its only required parameter: palette:

Circular palettes: 'hls', 'husl';
Perceptually uniform palettes: 'rocket', 'magma', 'mako', etc;
Diverging color palettes: 'RdBu', 'PRGn', etc;
Sequential color palettes: 'Greys', 'Blues', etc.

Study More

You can explore more about different palletes in "Choosing color palettes" article.


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import seaborn as sns
import matplotlib.pyplot as plt

# Setting the style
sns.set_style('darkgrid')

# Setting the palette
sns.set_palette('magma')

# Loading a built-in dataset of the Titanic passengers
titanic_df = sns.load_dataset('titanic')

sns.countplot(data=titanic_df, x='class')
plt.show()

Setting Context

There is another function in the seaborn library, set_context(). It affects such aspects as the size of the labels, lines, and other elements of the plot (the overall style is not affected).

The most important parameter is context, which can be either a dict of parameters or a string representing the name of a preconfigured set.

The default context is 'notebook'. Other available contexts include 'paper', 'talk', and 'poster', which are essentially scaled versions of the notebook parameters.


              1234567891011121314151617
            
import seaborn as sns
import matplotlib.pyplot as plt

# Setting the style
sns.set_style('darkgrid')

# Setting the palette
sns.set_palette('magma')

# Setting the context
sns.set_context('paper')

# Loading a built-in dataset of the Titanic passengers
titanic_df = sns.load_dataset('titanic')

sns.countplot(data=titanic_df, x='class')
plt.show()

Study More

You can explore more in set_context() documentation.

Task

Swipe to start coding

Use the correct function to set the style to 'dark'.
Use the correct function to set the palette to 'rocket'.
Use the correct function to set the context to 'talk'.

Solution

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

Everything was clear?

Thanks for your feedback!

Section 5. Chapter 3

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Plots Decoration

Setting Style

'white'
'dark'
'whitegrid'
'darkgrid'
'ticks'

Feel free to experiment with them:


              12345678910
            
import seaborn as sns
import matplotlib.pyplot as plt

# Setting the style
sns.set_style('darkgrid')

titanic_df = sns.load_dataset('titanic')

sns.countplot(data=titanic_df, x='class')
plt.show()

Setting Palette

Another option is to change the colors of plot elements in seaborn using the set_palette() function, focusing on its only required parameter: palette:

Circular palettes: 'hls', 'husl';
Perceptually uniform palettes: 'rocket', 'magma', 'mako', etc;
Diverging color palettes: 'RdBu', 'PRGn', etc;
Sequential color palettes: 'Greys', 'Blues', etc.

Study More

You can explore more about different palletes in "Choosing color palettes" article.


              1234567891011121314
            
import seaborn as sns
import matplotlib.pyplot as plt

# Setting the style
sns.set_style('darkgrid')

# Setting the palette
sns.set_palette('magma')

# Loading a built-in dataset of the Titanic passengers
titanic_df = sns.load_dataset('titanic')

sns.countplot(data=titanic_df, x='class')
plt.show()

Setting Context

The most important parameter is context, which can be either a dict of parameters or a string representing the name of a preconfigured set.

The default context is 'notebook'. Other available contexts include 'paper', 'talk', and 'poster', which are essentially scaled versions of the notebook parameters.


              1234567891011121314151617
            
import seaborn as sns
import matplotlib.pyplot as plt

# Setting the style
sns.set_style('darkgrid')

# Setting the palette
sns.set_palette('magma')

# Setting the context
sns.set_context('paper')

# Loading a built-in dataset of the Titanic passengers
titanic_df = sns.load_dataset('titanic')

sns.countplot(data=titanic_df, x='class')
plt.show()

Study More

You can explore more in set_context() documentation.

Task

Swipe to start coding

Use the correct function to set the style to 'dark'.
Use the correct function to set the palette to 'rocket'.
Use the correct function to set the context to 'talk'.

Solution

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

Everything was clear?

Thanks for your feedback!

Section 5. Chapter 3

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