How to plot the data of different columns using seaborn

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by shivanisanju03 dot icon Updated: Mar 23, 2023

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In this kit we are going to see how to plot the data of different columns using seaborn. The reason why Seaborn is so great with DataFrames is, for example, labels from DataFrames are automatically propagated to plots or other data structures. You can use the following basic syntax in seaborn to create a boxplot of multiple columns of a pandas DataFrame: sns.stripplot(x='variable', y='value', data=df) . The plotting functions operate on DataFrames and arrays that contain a whole dataset. Note: If we want we can also change the representation of data on a particular axis. The same can be done in boxplot.


Please check the below code to know how to plot the data of different columns using seaborn,

Code


In this solution we're using Seaborn pandas and matplotlib libraries

Instructions

Follow the steps carefully to get the output easily.

  1. Install pandas seaborn and matplotlib on your IDE(Any of your favorite IDE).
  2. Import pandas, seaborn, matplotlib using the below commands in the code.
  • import pandas as pd
  • import seaborn as sns
  • import matplotlib.pyplot as plt

3. Copy the snippet using the 'copy' and paste it in your IDE.

4.Run the file to generate the output.


I hope you found this useful. I have added the link to dependent library, version information in the following sections.


I found this code snippet by searching for 'dataframe plot using seaborn library' in kandi. You can try any such use case!

Environment tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

  1. The solution is created in Jupyter notebook 6.5.2.
  2. The solution is tested on Python 3.11.1.
  3. Pandas version-v1.5.3.
  4. Seaborn version -0.12.2
  5. Matplotlib version-3.7.1


Using this solution, we are able to understand how to plot the data of different columns using seaborn with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us to plot the data of different columns using seaborn 

Dependent Libraries

pandasby pandas-dev

Python doticonstar image 38689 doticonVersion:v2.0.2doticon
License: Permissive (BSD-3-Clause)

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

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            pandasby pandas-dev

            Python doticon star image 38689 doticonVersion:v2.0.2doticon License: Permissive (BSD-3-Clause)

            Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
            Support
              Quality
                Security
                  License
                    Reuse

                      seabornby mwaskom

                      Python doticonstar image 10797 doticonVersion:v0.12.2doticon
                      License: Permissive (BSD-3-Clause)

                      Statistical data visualization in Python

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                                seabornby mwaskom

                                Python doticon star image 10797 doticonVersion:v0.12.2doticon License: Permissive (BSD-3-Clause)

                                Statistical data visualization in Python
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                                          matplotlibby matplotlib

                                          Python doticonstar image 17559 doticonVersion:v3.7.1doticon
                                          no licences License: No License (null)

                                          matplotlib: plotting with Python

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                                                    matplotlibby matplotlib

                                                    Python doticon star image 17559 doticonVersion:v3.7.1doticonno licences License: No License

                                                    matplotlib: plotting with Python
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                                                              You can also search for any dependent libraries on kandi like 'pandas' , 'seaborn' ,'matplotlib'

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