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How to group a Box plot by the column names of a data frame in Seaborn?

Time:01-18

I'm a beginner trying to learn data science and this is my first time using the seaborn and matplotlib libraries. I have this practice dataset and data frame :

enter image description here

enter image description here

that I want to turn into a box plot and I want the x-axis to have all of the column names and the y-axis to range from 0 - 700 but, I'm not sure what to do.

I tried using : random_variable = sms.boxplot(data = df, x = ?, y = 'TAX')

which does give me the y-axis that is close to what I am looking for but, I don't know what the x-axis should be set equal too.

I thought may I could use the keys of the dataframe but, all I got was this mess that doesn't work: random_variable = sms.boxplot(x = df.keys(), y = df['TAX'])

I want it to look like this but, I'm really lost on how to do this: enter image description here

I apologize if this is an easy fix but, I would appreciate any help.

CodePudding user response:

If you just want to display your data like that go with

import seaborn as sns

sns.boxplot(data=df)
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