When we want to convey some information to others, there are several ways to do so. The process of conveying the information with the help of plots and graphics is called Data Visualization. The plots ...

x = np.array([80, 85, 90, 95, 100, 105, 110, 115, 120, 125]) font1 = {'family':'serif', 'color':'blue', 'size':20} font2 = {'family':'serif', 'color':'darkred', 'size ...

Python’s most popular visualization library – Matplotlib, provides support for many useful data visualization techniques for effective data analysis, one of which is subplots. Let’s take a look at ...

When plotting figures with matplotlib, it’s important to ensure that a legend is included so that readers are able to distinguish the data displayed over the y-axis. A legend is typically included as ...

In this tutorial, we will guide you through building an advanced financial data reporting tool on Google Colab by combining multiple Python libraries. You’ll learn how to scrape live financial data ...