CODEWITHSUNDEEP
pythonseaborn
LuizAtalibA
LuizAtalibA

Reputation: 95

How do I plot a simple bar chart with python and seaborn?

I am trying to do a bar chart using python and seaborn, but I am getting a error:

ValueError: Could not interpret input 'total'.

This is what I am trying to transform in a bar chart:

level_1     1900    2014    2015    2016    2017    2018
total        0.0    154.4   490.9   628.4   715.2   601.5

This is a image of the same dataframe:

data frame

Also I want to delete the column 1990, but when I try to do it by deleting the index, the column 2014 is deleted.

I got this far until now:

valor_ano = sns.barplot(
    data= valor_ano,
    x= ['2014', '2015', '2016', '2017', '2018'],
    y= 'total')

Any suggestions?

Upvotes: 8

Views: 6605

Answers (1)

Mihai Chelaru
Mihai Chelaru

Reputation: 8262

Do something like the following:

import seaborn as sns
import pandas as pd

valor_ano = pd.DataFrame({'level_1':[1900, 2014, 2015, 2016, 2017, 2018], 
                         'total':[0.0, 154.4, 490.9, 628.4,715.2,601.5]})

valor_ano.drop(0, axis=0, inplace=True)

valor_plot = sns.barplot(
    data= valor_ano,
    x= 'level_1',
    y= 'total')

This produces the following plot:

Seaborn plot

EDIT: If you want to do it without the dataframe and just pass in the raw data you can do it with the following code. You can also just use a variable containing a list instead of hard-coding the list:

valor_graph = sns.barplot(
    x= [2014, 2015, 2016, 2017, 2018],
    y= [154.4, 490.9, 628.4,715.2,601.5])

Upvotes: 6

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