Setting different styles
A line plot can also be displayed in different background style using set() function available under seaborn module itself.
Syntax:
set()
Attributes:
- Context: plotting context parameters
- Style: defines style
- Palette: sets a color palette
- Font
- Font_scale: sets font size
- Color_codes: If set True then palette is activated, short hand notations for colors can be remapped from the palette.
- rc: parameter to over-ride the above parameters
Example:
Python
import seaborn as sn import matplotlib.pyplot as plt import pandas as pd data = pd.read_csv("C:\\Users\\Vanshi\\Desktop\\gfg\\cumulative.csv") data = data.iloc[2:10, :] sn.lineplot(x="kepid", y="koi_duration", data=data, hue="koi_score") sn.set(style="darkgrid") plt.show() |
Output:
Data Visualization with Seaborn Line Plot
Prerequisite:
Presenting data graphically to emit some information is known as data visualization. It basically is an image to help a person interpret what the data represents and study it and its nature in detail. Dealing with large scale data row-wise is an extremely tedious task, hence data visualization serves as an ideal alternative.
Seaborn is a Python library which is based on matplotlib and is used for data visualization. It provides a medium to present data in a statistical graph format as an informative and attractive medium to impart some information.
Installation
Like any another python library, seaborn can be easily installed using pip:
pip install seaborn
This library is a part of Anaconda distribution and usually works just by import if your IDE is supported by Anaconda, but it can be installed too by the following command:
conda install seaborn
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