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How to create line chart using plotly

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by Abdul Rawoof A R dot icon Updated: Oct 30, 2023

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A Plotly line chart is a type of graph. It displays data points as individual markers or points connected by lines. It is a visualization tool used to represent data over a continuous range. 


Here's an overview of what a Plotly line chart is and what it can help with:   

What a Plotly Line Chart Is:   

A Plotly line chart is a type of graph that consists of the following components:   

  • Data Points: These are individual data values represented by markers. Those can be circles that we place at specific points on the chart.   
  • Lines: Lines connect the data points in sequence, forming a line. It allows flow through the data points. This line helps visualize trends or patterns in the data.   
  • X-Axis and Y-Axis: The x-axis represents the independent variable. The y-axis represents the dependent variable of the data.   
  • Title and Labels: Line charts typically have a title, an x-axis, and a y-axis label. It provides context and explains the chart's content.   


Here is an example of how to create a line chart using plotly:   

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

Code

In this solution, we are using the Plotly library.

Line chart using plotly

PythondotLines of Code : 14dotLicense : Strong Copyleft (CC BY-SA 4.0)

Dependent Libraries : 
import plotly.graph_objects as go
import pandas as pd

df = pd.DataFrame({'Minerals':['Nat. Gas'],
              '2013':[5886],
              '2014':[5258],
              '2015':[5214],
              '2016':[5073],
              '2017':[5009],})

fig = go.Figure(data=go.Scatter(x=df.columns[1:],
                                y=df.loc[0][1:]))
fig.show()

Instructions

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.: test.py).
  5. Copy the snippet using the 'copy' button and paste it into that file.
  6. 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 'Line chart using 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 line 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 line 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!

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            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!
            Support
              Quality
                Security
                  License
                    Reuse

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

                      FAQs:   

                      1. What is a line chart, and how does Plotly create it?   

                      A line chart is a type of data visualization. It helps display information as a series of data points connected by straight lines. It is particularly useful for showing how data changes over a continuous range. Line charts help visualize trends, patterns, and fluctuations in data.   


                      2. How can I use Plotly graph objects to create an Interactive Data Visualization?   

                      Plotly Graph Objects provide a powerful way to create interactive data visualizations. Here's a step-by-step guide on how to create an interactive data visualization:   

                      • Install Plotly   
                      • Import Plotly Graph Objects   
                      • Create Data   
                      • Create the Figure   
                      • Show the Visualization   


                      3. Is it possible to make a Horizontal Bar Chart using Plotly?   

                      Yes, it is possible to create a horizontal bar chart using Plotly. In a horizontal bar chart, we can see that the bars are horizontally oriented. In the y-axis, there will be categories displayed. 


                      4. How can we improve data analysis with the help of Plotly's line charts?   

                      Plotly's line charts can improve data analysis. It provides a visual representation of data trends. Here are several ways in which Plotly's line charts can enhance data analysis:   

                      • Visualization of Trends   
                      • Comparing Multiple Series   
                      • Highlighting Anomalies   
                      • Interactivity   


                      5. What are the different types of Scatter Plots available in Plotly?   

                      Plotly is a popular data visualization library in Python. It offers various types of scatter plots that you can create to visualize your data. Some of the common types of scatter plots available in Plotly include:   

                      • Basic Scatter Plot   
                      • Scatter Plot with Lines   
                      • Bubble Scatter Plot   
                      • Scatter Plot Matrix  

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