How to display bar charts in Pandas dataframe on specified columns?

In this article we will see how to display bar charts in dataframe on specified columns. For doing this task we are using DataFrame.style.bar() method of Pandas Dataframe.

Syntax: pandas.DataFrame.style.bar(columns_list, color)

Return: Dataframe with the given color bar strips on the positive definite values. The None value and the negative values are skipped in the process.

Now, Let’s create a Dataframe:

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# importing required packages
import pandas
import numpy
  
Nan = numpy.nan
  
# creating a dataframe with some nan values
df = pandas.DataFrame(data = numpy.array(
                      [[9, -3.4, Nan, 9, Nan],
                       [9, 4.89, -3.4, Nan, 9],
                       [Nan, -3.4, Nan, 9, 56],
                       [4, -3.4, 59.0, 5.6, 90],
                       [-4, Nan, Nan, 34, 8.8]]),
                       columns = list("ABCDE"))
  
# view dataframe
df

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Output:

Example 1:

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# display the bar chart on dataframe
df.style.bar(subset = ['B', 'C'],
                   color = 'skyblue')

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Output:

Example 2:

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# display the bar chart on dataframe
df.style.bar(subset = ['A', 'D', 'E'],
                   color = 'yellow')

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Output:


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