Highlighted line chart with Plotly.Express

Highlighted line chart with Plotly.Express

In this exercise, I’ll walk you through the process of drawing a thick colored line on the top of the shaded progress of the concurrent events.

Creating interactive graphs with python’s Plotly.Express from a data frame works like a charm. With a single line of code, you can explore the basic characteristics of your dataset. Adding a few more code-lines you can conjure up a really fancy but very narrative chart.

In this exercise, I’ll walk you through the process of drawing a thick colored line on the top of the shaded progress of the concurrent events. It has two enormous benefits:

  1. The trend you want to highlight is clearly visible
  2. The grey background suggests the distribution of other events

You can create all the charts with me, using the notebook stored on the Github. In this article you will learn:

The Dataset

I’ll use two datasets. The first about the progress of tourism around the world (tourist arrivals, 215 countries from 1995 to 2018), and the second showing ice-hockey national teams ranking in the last 6 years.

The dataset is preprocessed in preprocess.ipynb notebook on github and stored in python’s pickle.

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. In a regular notebook, I had to install nbformat (conda install -c anaconda nbformat)

data-analysis plotly python visualization interactive express

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