Today we will learn how to plot multiple specific columns of a pandas DataFrame against each other in pandas bar, scatter, line and histogram charts. We will start by importing the pandas library and then create an example DataFrame. Plot two columns in the same scatter chart Creating a scatter with pandas is relatively simple. … Read more
In this tutorial on data visualization we will show how to easily plot line charts using the pandas library which yo might already be using for your data analysis work. We’ll start by defining a simple example DataFrame that you can use to follow along. Pandas line plot example Let’s start by drawing a simple … Read more
In today’s data visualization we will learn how to plot multiple time series on the same chart with pandas. Time series is basically information that is time dependent such as prices, inventory, sales etc’. In our example, we would like to plot revenue, expenses and ultimately profit for a fictitious business. We’ll use a line … Read more
In this Data Visualization tutorial, we will learn how to draw one or multiple vertical lines using matplotlib and Pandas. Drawing vertical lines in Pandas and Matplotlib The plt.axvline() method allows to easily add vertical lines to plots we rended using matplotlib, pandas and Seaborn. Here’s a simple example: Step #1: Import Data Analysis libraries … Read more
In today’s data visualization tutorial we’ll learn how during exploratory data analysis, we can use Python to subset two or columns from a pandas DataFrame and draw a simple scatter chart to detect outlier observations. Create example data We’ll start by importing the pandas data analysis library which we’ll use to render the scatter chart. … Read more
In this short tutorial we will learn how to use Python and the Pandas library to draw an horizontal line that runs in parallel to the x axes. Create Example Data As we typically do, we will start by importing the necessary Data Analysis libraries and create some example data that we will use. Create … Read more
In today’s tutorial we’ll learn how to troubleshoot a common plotting error that you might encounter when working in Pandas and trying to plot your data during its pre processing for data analysis. Reproducing the problem In order to reproduce the error, we will first construct a very simple DataFrame. Your Python development environment (Jupyter, … Read more
Today we’ll learn to draw a bit more sophisticated lineplots that display multiple lines. We’ll provide examples leveraging the two popular Python Data Visualization libraries: Seaborn and Matplotlib. Plot multiple lines with Matplotlib and Seaborn To create a line plot showing multiple lines with Matplotlib or Seaborn proceed as following: Importing Data Visualization libraries Create … Read more
In today data visualization we’ll show hot you can quickly add label to data points to a chart that would like to display. We’ll show how to work with labels in both Matplotlib (using a simple scatter chart) and Seaborn (using a lineplot). Add labels to Matplotlib and Seaborn plots Use the plt.annotate() function in … Read more
As part of your Exploratory Data Analysis process, you’ll often need to plot simple charts to make sense of your dataset and/or detect outlines and missing data. In this quick tutorial we’ll learn how to use the Pandas and Matplotlib libraries to easily plot out simple charts with Python. Let’s start by importing the required … Read more