Histograms with Plotly Express: Complete Guide

Histograms with Plotly Express: Complete Guide

Plotly.Express allows creating several types of histograms from a dataset using a single function px.histogram(df, parameters). In this article, I’d like to explore all the parameters and how they influence the look and feel of the chart.

A histogram is a special kind of bar chart showing the distribution of a variable(s). Plotly.Express allows creating several types of histograms from a dataset using a single function px.histogram(df, parameters). In this article, I’d like to explore all the parameters and how they influence the look and feel of the chart.

Plotly.Express is the higher-level API of the python Plotly library specially designed to work with the data frames. It creates interactive charts which you can zoom in and out, switch on and off parts of the graph and a tooltip with information appears when you hover over any element on the plot.

All the charts can be created using this notebook on the **[GitHub**](https://github.com/vaclavdekanovsky/data-analysis-in-examples/blob/master/Vizualizations/Plotly/Histogram/Histograms.ipynb). Feel free to download, play, and update it.

Table of content

Installation

Plotly.Express was introduced in the version 4.0.0 of the plotly library and you can easily install it using:

## pip 
pip install plotly

## anaconda
conda install -c anaconda plotly

Plotly Express also requires pandas to be installed, otherwise, you will get this error when you try to import it.

[In]: import plotly.express as px
[Out]: ImportError: Plotly express requires pandas to be installed.

There are additional requirements if you want to use the plotly in Jupyter notebooks. For Jupyter Lab you need [jupyterlab-plotly](https://plotly.com/python/getting-started/#jupyterlab-support-python-35). In a regular notebook, I had to install nbformat (conda install -c anaconda nbformat)

data-exploration python plotly histograms visualization

Bootstrap 5 Complete Course with Examples

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

Building a simple Applications with Vue 3

Deno Crash Course: Explore Deno and Create a full REST API with Deno

How to Build a Real-time Chat App with Deno and WebSockets

Convert HTML to Markdown Online

HTML entity encoder decoder Online

Basic Data Types in Python | Python Web Development For Beginners

In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.

Data Visualization With Python: Matplotlib

Data visualization is the graphical representation of data in a graph, chart or other visual formats. It shows relationships of the data with images.

Data Visualization With Python | Data Visualization | Python For Data Science

🔥To access the slide deck used in this session for Free, click here: https://bit.ly/GetPDF_DataV_P 🔥 Great Learning brings you this live session on 'Data Vis...

Data Exploration and Analysis Using Python

Data exploration is a key aspect of data analysis and model building. Without spending significant time on understanding the data and its patterns one cannot expect to build efficient predictive models.

Interactive Data Visualization Using Plotly And Python

Build interactive data visualization in Jupyter Notebooks using Plotly. Python is great for data exploration and data analysis and it’s all thanks to the support of amazing libraries like numpy, pandas, matplotlib, and many others.