Found 35 Articles for Plotly

Plotly is a library in Python which is very useful in plotting various kinds of graphs and charts. It is an interactive visualization library used to create quality graphs for publications. Somes of the graphs and charts that can be visualized with plotly include line plots, scatter plots, area charts, bar charts, error bars, box plots, histograms, heatmaps, subplots, multiple-axes, polar charts, and bubble charts. Filled Area Chart Filled area plot is an enhanced module in plotly that analyzes a variety of data and produces user friendly figures that are easily readable. The filled area harmonizes with a particular value ... Read More

A Gantt chart is a popular way of representing a project schedule. It is a type of bar chart that illustrates a project schedule, including the start and end dates of tasks and the dependencies between tasks. Gantt charts are widely used in project management to visually represent project plans and schedules.In this technical blog, we will explore how to create a Gantt chart in Python using the Plotly library. Installation and Syntax Before we start creating Gantt charts using Plotly, we need to install the Plotly library in our Python environment. We can install Plotly using pip, which is ... Read More

Visualizing data is a critical step in understanding and interpreting complex data. Among numerous chart types, the bar chart remains a versatile and popular choice for representing categorical data. Using Python, a leading language in data analysis, and Plotly, a graphing library that enables interactive plots, we can create and customize bar charts, including grouped ones, with great ease and precision. Today, we delve into the process of creating grouped bar charts in Python with Plotly. Grouped bar charts are used when comparing multiple series of categories across the same axes. This type of chart can provide a more comprehensive ... Read More

Plotly is an interactive, open-source toolkit that enables users to build a wide range of aesthetically pleasing and intelligent charts in the field of data visualisation in Python. The line chart, one of the most popular chart forms, is the subject of this article. In order to help you comprehend, we'll go over how to make line charts using Plotly while using practical examples. Even though we'll focus mostly on line charts, keep in mind that Plotly is a flexible library that supports a wide range of additional chart styles, offering countless opportunities to tell engaging tales with data. A ... Read More

This tutorial will explain how to manually add the legend text size and color on a Plotly figure using Python. By the end of this tutorial, you will be able to create interactive graphs and charts with the help of the potent Python data visualization package, Plotly. Plot development must include a legend that aids viewers in comprehending the information. However, not all situations will be accommodated by Plotly's default legend settings. This article will discuss how to manually apply legend colors and font sizes to a Plotly figure in Python. Syntax Plotly's update_layout() method and the legend_font_color and legend_font_size ... Read More

A cumulative histogram is a type of histogram that shows the cumulative distribution function (CDF) of a dataset. The CDF represents the probability that a random observation from the dataset will be less than or equal to a certain value. Cumulative histograms are useful when you want to compare the distribution of two or more datasets or when you want to visualize the proportion of data points that fall below a certain threshold. Plotly is a Python library for creating interactive and publication-quality visualizations. It is built on top of the D3.js visualization library and provides a wide range ... Read More

R is a programming language for statistical computing and graphics. ggplotly() is a function used to convert static plots to web-based plots. ggplotly() returns a Plotly object. In this tutorial, we will see how to display a variable as tooltip in ggplotly using R language. Here, we will use the aes() function that is used for aesthetic mapping between visual cue and a variable. It contains the following arguments: position (X and Y axes), color, fill, shape, line type, and size. To set the tooltip text, we will use the ggplotly(tooltip = " ") method. Follow the steps ... Read More

R is a programming language for statistical computing and graphics. ggplotly() is a function used to convert static plots to web-based plots. ggplotly() returns a Plotly object. In this tutorial, we will see how to show multiple ggplot2 plots with Plotly using R. Here, we will use the aes() function that is used for aesthetic mapping between visual cue and a variable. It contains the following arguments: position (X and Y axes), color, fill, shape, line type, and size. To display multiple ggplot2 plots, we will use the facet_grid() function. Follow the steps given below to show multiple ... Read More

R is a programming language for statistical computing and graphics. ggplotly() is a function that is used to convert a static plot to an interactive web-based version. ggplotly() returns a Plotly object. In this tutorial, we will see how to remove the option bar from ggplotly using R. Here, we will use the aes() function that is used for aesthetic mapping between visual cue and a variable. It contains the following arguments: position (X and Y axes), color, fill, shape, line type, and size. To remove the option bar from ggplotly, we will set "config(displayModeBar = FALSE)". Follow ... Read More

R is a programming language for statistical computing and graphics. ggplotly() is a function that is used to convert a static plot to an interactive web-based version. ggplotly() returns a Plotly object. In this tutorial, we will see how to format mouse over labels using ggplotly in R. Here, we will use the aes() function that is used for aesthetic mapping between visual cue and a variable. It contains the following arguments: position (X and Y axes), color, fill, shape, line type, and size. In addition, we will use geom_line() function to set the color and the ggplotly(tooltip="") function ... Read More