TL; DR : Fix nameerror plt is not defined in matplotlib To solve this error make sure to import the Python matplotlib package and call the pyplot module into your Jupyter Notebook. Then assign it the alias plt before invoking any of the matplotlib plotting methods in your notebook or script: Understanding the name error … Read more
In this tutorial we will explain how you can easily plot a dictionary with multiple values per key using the very powerful pandas Data Analysis library that is a very popular third party module (not included in the Python standard library). Step #1: Import Pandas First and foremost we will enable the pandas library. If … Read more
Today we will learn to build a basic pie plot using the pandas Data Analysis. We typically build this type of quick plots as part of our exploratory data analysis. Example DataFrame In this example we will use some webinar attendance signup data Plot a simple pie graph Rendering a simple graph is very simple … Read more
Pandas ewm example In today’s tutorial we will show how to calculate the exponential moving average (ewm) of a DataFrame column / Series object. Unlike the rolling moving average, the ewm provides more significance to the most recent data. We’ll start by creating some sample interview data that we will then use in order to … Read more
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 tutorial you will learn how to order the values of your DataFrame by column values. We will also learn how you can rearrange your DataFrame according to specific column order. Example Data First off, we will import the pandas library into our Python development environment and create a sample DataFrame that you can … 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