Built on top of the Plotly JavaScript library (plotly.js), plotly enables Python users to create beautiful interactive web-based visualizations that can be displayed in Jupyter notebooks, saved to standalone HTML files, or served as part of pure Python-built web applications using Dash.

Dec 26, 2023 · Plotly library in Python is an open-source library that can be used for data visualization and understanding data simply and easily. Plotly supports various types of plots like line charts, scatter plots, histograms, box plots, etc. So you all must be wondering why Plotly is over other visualization tools or libraries. So here are some reasons :

Learn how to use the visualization tool Plotly to implement and create dynamic plots and figures (such as scatters, histograms, and candlesticks) in Python.

Jan 16, 2025 · Plotly is an open-source Python library for creating interactive visualizations like line charts, scatter plots, bar charts and more. In this article, we will explore plotting in Plotly and covers how to create basic charts and enhance them with interactive features.

Visualize Principle Component Analysis (PCA) of your high-dimensional data in Python with Plotly. New to Plotly? This page first shows how to visualize higher dimension data using various Plotly figures combined with dimensionality reduction (aka projection). Then, we dive into the specific details of our projection algorithm.

Visualize regression in scikit-learn with Plotly. New to Plotly? This page shows how to use Plotly charts for displaying various types of regression models, starting from simple models like Linear Regression, and progressively move towards models like Decision Tree and Polynomial Features.

6 days ago · In this article, we will be looking at creating interactive plots using Plotly python. Understand the significance of data visualization and its various applications. Learn how interactive visualization enhances data interactivity. Gain practical knowledge of data visualization in Python using libraries like pandas, Plotly, and more.

Feb 11, 2025 · To plot a Histogram in Plotly, we use the Plotly histogram() method. import numpy as np dice_roll_1 = np.random.randint(1, 7, 7000) dice_roll_2 = np.random.randint(1, 7, 7000) dice_sum = dice_roll_1 + dice_roll_2 #plot histogram px.histogram(dice_sum, nbins = 6, labels={'value':"Dice Roll"}, title="Roll Dice 7000 times")

Jan 25, 2024 · To create a simple comparative bar chart using Python’s plotly library: x=gpi_scores_2022.index, y=gpi_scores_2022.values, name='GPI Scores 2022', marker_color='indianred'...

6 days ago · Plotly’s px (standing for ‘Plotly Express’) and graph_objects components provide built-in support for efficient and intuitive plotting, and a fine-grained API for low-level customization, respectively. We will explore both, but first, we load and prepare the time series data to visualize, including a more convenient renaming of key columns.