Article Categories
- All Categories
-
Data Structure
-
Networking
-
RDBMS
-
Operating System
-
Java
-
MS Excel
-
iOS
-
HTML
-
CSS
-
Android
-
Python
-
C Programming
-
C++
-
C#
-
MongoDB
-
MySQL
-
Javascript
-
PHP
-
Economics & Finance
Articles by Vani Nalliappan
Page 2 of 13
How to plot multiple lines on the same Y-axis in Python Plotly?
Plotly is an open-source plotting library in Python that creates interactive web-based visualizations. In this tutorial, we will show how to plot multiple lines on the same Y-axis using plotly.express and pandas. When working with time-series data or comparing multiple metrics, plotting multiple lines on the same chart helps visualize trends and relationships between different datasets. Method 1: Using add_scatter() First, create a line plot and then add another line using add_scatter() method ? import plotly.express as px import pandas as pd # Create dataset data = { 'year': [2015, ...
Read MorePython Plotly – How to simultaneously apply color/shape/size in a Scatter Plot?
Plotly is an open-source Python library for creating interactive web-based visualizations. In this tutorial, we'll explore how to simultaneously apply color, shape, and size properties to scatter plots for enhanced data visualization. Understanding Scatter Plot Properties Scatter plots can be customized with multiple visual properties: Color − Maps data values to different colors using color scales Size − Varies marker sizes based on data values Shape − Uses different marker symbols to represent categories Basic Scatter Plot with Color and Size Let's create a scatter plot where color and size represent different data ...
Read MoreHow to show legend and label axes in 3D scatter plots in Python Plotly?
Plotly is an open-source Python library for creating interactive charts and visualizations. In 3D scatter plots, properly showing legends and labeling axes is crucial for data interpretation and presentation clarity. This tutorial demonstrates how to create 3D scatter plots with customized legends and axis labels using plotly.express and pandas. Basic 3D Scatter Plot Setup First, let's create a simple 3D scatter plot with our sample data − import plotly.express as px import pandas as pd # Create sample data data = { 'gadget': ['mobile', 'tablet', 'ipad', 'laptop'], ...
Read MoreHow to hide the Y-axis tick labels on a chart in Python Plotly?
Plotly is an open-source Python plotting library for creating interactive charts and visualizations. One common customization is hiding Y-axis tick labels to create cleaner charts or when the exact values are not needed. In this tutorial, we will explore different methods to hide Y-axis tick labels using Plotly's graph_objects module and layout properties. Method 1: Using showticklabels Property The simplest approach is to set the showticklabels property to False in the Y-axis layout ? import plotly.graph_objects as go # Create a bar chart with hidden Y-axis tick labels fig = go.Figure( ...
Read MoreHow to display an image on hovering over a point in Python Plotly?
Plotly is a powerful visualization library that allows you to create interactive plots with hover effects. In this tutorial, we'll learn how to display images when hovering over data points using Plotly with Dash. Prerequisites First, install the required libraries ? pip install plotly dash pandas Understanding the Approach To display images on hover, we need three key components: Custom data − Store image URLs in the plot data Hover callback − Detect when user hovers over points Dynamic image display − Update the image source based on hover data ...
Read MorePython Plotly: How to define the structure of a Sankey diagram using a Pandas dataframe?
A Sankey diagram is used to visualize flow between nodes by defining a "source" and "target" relationship. It effectively represents the movement of objects or data between different points in a system. In this tutorial, we'll learn how to define the structure of a Sankey diagram using a Pandas dataframe. We will use the plotly.graph_objects module to create interactive flow diagrams. Required Libraries First, import the necessary libraries ? import plotly.graph_objects as go import pandas as pd Creating Node Data Structure Define nodes with their IDs, labels, and colors ? ...
Read MoreHow to set the font style to Bold in Python Plotly?
Plotly is an open-source Python library for creating interactive charts and visualizations. You can customize font styles, including making text bold, using various methods. In this tutorial, we will show how to set font styles to bold in Python Plotly. Methods to Make Text Bold in Plotly There are several ways to make text bold in Plotly ? Use HTML tags in titles and annotations Set font_family to bold fonts like "Arial Black" Use font_weight property for specific elements Method 1: Using HTML Tags for Bold Titles The simplest way to make ...
Read MoreHow to show a Plotly animated slider in Python?
Plotly supports creating interactive animated visualizations with sliders that allow users to control the animation timeline. In this tutorial, we will show how to create an animated scatter plot with a slider using plotly.express. Key Components plotly.express − Used to generate interactive figures with built-in animation support animation_frame − Defines which column to use for animation frames animation_group − Groups data points that should animate together Creating Sample Data Since external CSV files aren't available online, let's create sample data to demonstrate the animated slider ? import plotly.express as px import pandas ...
Read MoreHow to save multiple plots into a single HTML file in Python Plotly?
Plotly is an open-source Python library for creating interactive charts. You can use the plotly.subplots feature to save multiple plots into a single HTML file, which is useful for creating dashboards or comparing different visualizations. Using make_subplots to Create Multiple Plots The make_subplots function allows you to create a grid of subplots within a single figure. Here's how to create and save multiple plots to an HTML file − import plotly from plotly.subplots import make_subplots import plotly.graph_objects as go # Create subplots with 2 rows and 1 column fig = make_subplots(rows=2, cols=1, ...
Read MoreHow to highlight all the values from a group on hover in Python Plotly?
Plotly enables you to group data points and highlight all values from a group when hovering over any point in that group. This is achieved using the groupby transform feature, which creates interactive visualizations with enhanced hover capabilities. Understanding Group Highlighting When you hover over any data point in a group, Plotly automatically highlights all related points in the same group. This feature uses the transforms property with groupby type to organize data into distinct visual groups. Step-by-Step Implementation Step 1: Import Required Module Import plotly.io for creating and displaying interactive plots − ...
Read More