Seaborn Figure Styles
This affects things like the color of the axes, whether a grid is enabled by default, and other aesthetic elements.
The ways of styling themes are as follows:
- white
- dark
- whitegrid
- darkgrid
- ticks
Set the background to be white:
Given style with the help of countplot and the dataset is present in seaborn by default. load_dataset() function is used to load the dataset. set_style() function is used for plot styling.
Python3
import seaborn as sns import matplotlib.pyplot as plt # load the tips dataset present by default in seaborntips = sns.load_dataset('tips') sns.set_style('white')# make a countplotsns.countplot(x ='sex', data = tips) |
Output:
Set the background to ticks:
Ticks appear on the sides of the plot on setting it as set_style(‘ticks’). palette attribute is used to set the color of the bars. It helps to distinguish between chunks of data.
Python3
import seaborn as snsimport matplotlib.pyplot as plt tips = sns.load_dataset('tips')sns.set_style('ticks')sns.countplot(x ='sex', data = tips, palette = 'deep') |
Output:
Set the background to be darkgrid:
Darkgrid appear on the sides of the plot on setting it as set_style(‘darkgrid’). palette attribute is used to set the color of the bars. It helps to distinguish between chunks of data.
Python3
import seaborn as sns import matplotlib.pyplot as plt # load the tips dataset present by default in seaborntips = sns.load_dataset('tips') sns.set_style('darkgrid')# make a countplotsns.countplot(x ='sex', data = tips) |
Output:
Set the background to be Whitegrid:
Whitegrid appears on the sides of the plot on setting it as set_style(‘whitegrid’). palette attribute is used to set the color of the bars. It helps to distinguish between chunks of data.
Python3
import seaborn as sns import matplotlib.pyplot as plt # load the tips dataset present by default in seaborntips = sns.load_dataset('tips') sns.set_style('whitegrid')# make a countplotsns.countplot(x ='sex', data = tips) |
Output:
Seaborn | Style And Color
Seaborn is a statistical plotting library in python. It has beautiful default styles. This article deals with the ways of styling the different kinds of plots in seaborn.
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