How to create bar chart using plotly

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by Abdul Rawoof A R dot icon Updated: Oct 25, 2023

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A Plotly bar chart is a graphical representation of data using bars. The length or height of every bar is proportional to the value it represents. 

Bar charts are a common type of chart used for visualizing categorical data. Plotly is a popular Python library for creating interactive data visualizations. It provides various options for creating bar charts.   

Key characteristics of a Plotly bar chart and what it can help:   

  • Categorical Data: Bar charts help display categorical data. We show the categories on one axis. We represent the corresponding values by the length or height of the bars. It makes it easy to compare values across different categories.   
  • Vertical or Horizontal Orientation: It helps create vertical and horizontal bar charts. It depends on your data and the presentation style you prefer.   
  • Grouped or Stacked Bars: You can create grouped bar charts. It helps compare values within each category.   
  • Interactive: One of the key advantages of Plotly is its interactivity. You can create interactive bar charts. It allows users to hover over bars for additional information.   
  • Customization: Plotly offers a high level of customization. It lets you change colors, labels, or titles to match your design preferences. 


Here is an example of how to create a bar chart using Plotly:   

Fig: Preview the output you will get on running this code from your IDE.


In this solution, we are using the Plotly library.


Follow the steps carefully to get the output easily.

  1. Install PyCharm Community Edition on your computer.
  2. Open the terminal and install the required libraries with the following commands.
  3. Install Plotly - pip install plotly.
  4. Create a new Python file(e.g.:
  5. Copy the snippet using the 'copy' button and paste it into that file.
  6. Add 'fig' in the 5th line, it uses Plotly Express to create a horizontal bar chart.
  7. Add 'fig. show()' to visualize the percentages of the first dose of different COVID-19 vaccines.
  8. Run the file using the run button.

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

I found this code snippet by searching for 'Make bar graph with percentage in Plotly' 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 PyCharm 2022.3.3.
  2. The solution is tested on Python 3.9.7.
  3. Plotly version v15.5.0.

Using this solution, we are able to create a bar chart using plotly with simple steps. This process also facilitates an easy-to-use, hassle-free method to create a hands-on working version of code which would help us to create a bar chart using plotly.

Dependent Library

plotly.pyby plotly

Python doticonstar image 13630 doticonVersion:v5.15.0doticon
License: Permissive (MIT)

The interactive graphing library for Python :sparkles: This project now includes Plotly Express!


            plotly.pyby plotly

            Python doticon star image 13630 doticonVersion:v5.15.0doticon License: Permissive (MIT)

            The interactive graphing library for Python :sparkles: This project now includes Plotly Express!

                      You can also search for any dependent libraries on kandi like 'Plotly'.


                      1. What is a simple bar chart, and how can we create it with Plotly?   

                      A simple bar chart is a graphical representation of data using rectangular bars. Each bar's length or height is proportional to the value it represents. It makes it easy to compare data across categories. Bar charts help display and compare data in a visually accessible way.   

                      To create a simple bar chart with Plotly in Python, you can follow these steps:   

                      • Install Plotly   
                      • Import necessary libraries.   
                      • Prepare your data.   
                      • Create the bar chart.   
                      • Show the chart.   

                      2. What is the purpose of the visualization library in Plotly Bar charts?   

                      • Interactivity   
                      • Customization   
                      • Data Exploration   
                      • Annotations   
                      • Interactive Legends   
                      • Responsive Design   

                      3. How do I use Plotly Graph Objects to adjust my bar chart?   

                      Plotly Graph Objects offer more control and customization options for creating bar charts. You must create a go-to and adjust your bar chart using Plotly Graph Objects.Figure objects. It configures various chart attributes, like the layout and trace properties.   

                      4. Is there an easy way to assign individual bar colors in a Plotly Bar chart?   

                      Yes. You can assign individual bar colors to the Bar chart using the Plotly Express color parameter. Here's how you can do it:   

                      In the function, you can provide a list of colors that correspond to each data point. You can do this by creating a new column in your DataFrame that specifies the colors for each bar.   


                      5. How do I format data for a Line Chart when using Plotly?   

                      To format data for a line chart using Plotly, you need to structure your data in a way that Plotly can understand. Here are the basic steps and an example of how to format your data:   

                      • Data Preparation   
                      • Creating a Line Chart  


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