Creating Advanced Financial Charts with Python in One Line of Code

Master the most flexible Python library to create great-looking financial visualizations

Photo by Luke Chesser on Unsplash

Introduction

The surge of programming and technology being applied to the field of finance is inevitable, and the growth never seems to be declining. One of the most interesting parts where programming is being applied is the interpretation and visualization of historical or real-time stock data.

Now, to visualize general data in python, modules like matplotlib, seaborn, and so on come into play but, when it comes to visualizing financial data, Plotly would be the go-to since it provides built-in functions with interactive visuals. This is what I thought but there exists one unsung hero which is nothing but the cousin of matplotlib, the mplfinance library.

We all know how versatile the matplotlib package is and comes into handy to plot any kind of data. Even financial charts like candlesticks can also be plotted using the matplotlib package but in vain since we have to do it from scratch. But recently, I came to know that there is a separate module named mplfinance that is designed specifically to create advanced financial visualizations. In this article, we will dive deep into this python library and…