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How to create a BarPlot in SeaBorn?

Posted on December 27, 2021July 21, 2023 By Pythoneo

Let’s learn on how to create a BarPlot in SeaBorn Python library.

Data preparation

I have prepared csv file with registration vehicles data.

Let’s see the details using Pandas Python library.

import pandas as pd

cars = pd.read_csv('vehicles.csv')
print(cars)

vehicles registartion data

A bar graph preparation

I’d like to create a barplot chart which contains the data about the number of registered vehicles.

I need to see Body_Type and No_Of_Vehicles.

To create a basic SeaBorn BarPlot I need to import Pandas, Seaborn and Matplotlib Python libraries. To insert a barplot I am using seaborn.barplot method. As x and y I’m taking the columns I need. And data is my data source which I defined. Plt.show function will help to display the chart.

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sn

cars = pd.read_csv('vehicles.csv')

sn.barplot(x = 'Body_Type', y = 'No_Of_Vehicles',
           data = cars)
plt.show()

Seaborn barplot

Key Takeaways

  • To create a bar plot in Seaborn, you can use the `sns.barplot()` function.
  • The `sns.barplot()` function takes two arguments: the x-axis and the y-axis.
  • The x-axis is the categorical variable, and the y-axis is the quantitative variable.
  • You can also customize the bar plot by specifying the colors, the width, and the labels.
See also  Python code to draw cos(x) using matplotlib

FAQ

  • Q: What is Seaborn?
  • A: Seaborn is a Python library for statistical plotting. It is built on top of Matplotlib, and it provides a number of high-level functions for creating attractive and informative statistical plots.
  • Q: What is a bar plot?
  • A: A bar plot is a type of chart that shows the distribution of a categorical variable. It is a simple and effective way to visualize the frequency of different categories.
  • Q: How do I customize a bar plot in Seaborn?
  • A: You can customize a bar plot in Seaborn by specifying the colors, the width, and the labels. You can also use the `sns.set_style()` function to set the overall style of the plot.
See also  How to plot log values in Numpy and Matplotlib?
matplotlib, Pandas, Seaborn Tags:barplot, chart, plot

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