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Articles by Vani Nalliappan
122 articles
How to display a variable as tooltip in ggplotly using R language?
R is a programming language for statistical computing and graphics. ggplotly() is a function used to convert static ggplot2 plots into interactive web-based plots. When creating interactive plots, you often want to display additional information when users hover over data points. This tutorial shows how to display variables as tooltips in ggplotly using R. Key Concepts To create custom tooltips, you'll use: aes() function for aesthetic mapping between visual cues and variables, including position (X and Y axes), color, fill, shape, line type, and size text aesthetic within aes() to define tooltip content ggplotly(tooltip = "text") ...
Read MoreHow to show multiple ggplot2 plots with Plotly using R?
R is a programming language for statistical computing and graphics. ggplotly() is a function that converts static ggplot2 plots into interactive web-based visualizations. When combined with facet_grid(), you can display multiple related plots in a single interactive dashboard. Prerequisites First, install the required R packages ? install.packages('ggplot2') install.packages('plotly') install.packages('dplyr') Method 1: Using facet_grid() with External Data This approach creates multiple plots by splitting data across different categories using facet_grid() ? library(ggplot2) library(plotly) library(dplyr) # Create sample student data students_data
Read MoreHow to remove option bar from ggplotly using R?
Looking at this article, I notice it's about R programming, not Python. The topic and content are completely focused on R's ggplotly function. This appears to be misclassified. However, I'll improve the HTML structure and formatting while keeping the R content intact. R is a programming language for statistical computing and graphics. ggplotly() is a function that converts a static ggplot to an interactive web-based version. ggplotly() returns a Plotly object that displays control options (ModeBar) by default. In this tutorial, we will see how to remove the option bar from ggplotly using R. Key Concept To ...
Read MoreHow to format mouse over labels using ggplotly in R?
**ARTICLE ISSUE NOTICE:** This article is about **R programming** (specifically ggplotly in R), not Python. The title and content focus entirely on R syntax, R packages (ggplot2, plotly, readr), and R-specific functions. However, the instructions specify this should be a **Python/Data Science** article. **RECOMMENDATION:** This article should either be: 1. **Moved to R tutorial section** (most appropriate) 2. **Completely rewritten** to cover Python equivalents (plotly.express, matplotlib, etc.) 3. **Replaced** with a different Python-focused topic **TECHNICAL ISSUES IN CURRENT ARTICLE:** - Code blocks incorrectly tagged as `language-python` when they contain R code - Missing proper R syntax highlighting ...
Read MoreHow to plot on secondary Y-Axis with Python Plotly?
Plotly is an open-source, interactive, and browser-based charting library for Python. Python users can use Plotly to generate different types of charts including scientific charts, 3D graphs, statistical charts, financial charts, etc. In this tutorial, we will show how you can use Plotly to plot data on the secondary Y-Axis. Here we will use the plotly.graph_objects module to generate figures. It contains a lot of methods to customize the charts and render them into HTML format. We will plot two bar charts using the add_trace() method and then use the update_layout() method to set a property with dict arguments. ...
Read MoreHow to add multiple text labels from DataFrame columns in Python Plotly?
Plotly is a powerful Python library for creating interactive visualizations. You can add multiple text labels from DataFrame columns to enhance your charts with additional information that appears on hover or as annotations. In this tutorial, we'll learn how to create a scatter plot with text labels from different DataFrame columns using Plotly's graph_objects module. Required Libraries We'll use the following Python libraries ? plotly.graph_objects − For creating interactive plots pandas − For DataFrame operations plotly.offline − For generating HTML output Creating the DataFrame First, let's create a sample DataFrame with student ...
Read MoreHow to add multiple graphs to a Plotly Dash app on a single browser page in Python Plotly?
Plotly Dash is a Python framework for building interactive web applications. You can add multiple graphs to a single Dash app by organizing them within HTML Div components and using dcc.Graph elements. Setting Up Multiple Graphs To create multiple graphs on one page, you need to structure your layout with separate html.Div containers for each graph ? import dash from dash import dcc, html import pandas as pd import plotly.express as px # Initialize the Dash app app = dash.Dash(__name__) # Create sample data df_seasons = pd.DataFrame({ "Season": ["Summer", "Winter", ...
Read MorePython Plotly – How to hide legend entries in a Plotly figure?
Plotly is a powerful open-source plotting library in Python that creates interactive web-based visualizations. Sometimes you may want to hide specific legend entries to reduce clutter or highlight only certain data series in your plots. In this tutorial, we will demonstrate different methods to hide legend entries in Plotly figures using the showlegend parameter. Method 1: Using showlegend Parameter The most direct way to hide legend entries is by setting showlegend=False when creating traces ? import plotly.graph_objects as go import plotly.offline as py # Create sample data x = [1, 2, 3, 4, 5] ...
Read MoreHow to shade a chart above a specific Y value in Python Plotly?
Plotly is a powerful plotting library in Python that enables you to create interactive visualizations. Sometimes you need to highlight specific regions of your chart by shading areas above or below certain Y values to emphasize important thresholds or ranges. In this tutorial, we will show how to shade a chart above a specific Y value using Plotly's add_hrect() method. Understanding the Methods To shade chart areas, we use these key Plotly methods: add_hrect() − Adds a horizontal rectangle to shade regions based on Y-axis values add_vline() − Adds vertical reference lines plotly.express − Creates ...
Read MorePython Plotly – How to change variable/label names for the legend in a line chart?
Plotly is an open-source, interactive, and browser-based charting library for Python. Python users can use Plotly to generate different types of charts including scientific charts, 3D graphs, statistical charts, financial charts, etc. In this tutorial, we will show how you can use Plotly to change the variable and label names for the legend in a line chart. The name parameter in scatter traces controls legend labels, while legend_title customizes the legend title. Basic Setup First, import the required module and create a figure object ? import plotly.graph_objs as go # Create a figure object ...
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