Gili In today’s quick Data visualization tutorial, we will show you how you can easily draw horizontal lines in Python plots that run in parallel to the X axis. We’ll use a bar plot as an example, but you can obviously apply the same logic for other charts such as scatter, histogram, lien plots etc’. Once … Read more
In today’s tutorial we would like to run through a detailed end to end example of Seaborn countplots creation and customization. We’ll be using our deliveries DataFrame as an example. You can grab the file from this location. Step 1: Import thew example dataset #Python3 import seaborn as sns import pandas as pd import matplotlib.pyplot … Read more
In today’s quick recipe, we’ll learn the basic of Matplotlib title customization. We’ll use bar plots, but the post is fully relevant for other Matplotlib charts: line, scatter, distribution and bar plots. Step 1: Prepare your data for visualization We’ll start by defining a simple dataset for this example. # Python3 # import pandas and … Read more
In today’s quick tutorial we’ll learn how to re-format your column contents so that you can split data located in a DataFrame column into one or more columns. Most probably you’ll be acquiring your data from an API, database, text or comma separated value file. But in this example we’ll use a simple dataframe that … Read more
In this quick recipe we’ll learn how to define axis limits for our Seaborn and Matplotlib plots in Python. For convenience, I’ll use Seaborn in this example, but the methods we’ll use in order to resize the axis limits are first and foremost part of Matplotlib and can be used on every pyplot chart. Use … Read more
This quick tutorial will cover the topic of writing a DataFrame column to a Python list. Consider the following code snippet: Here’s our DataFrame header: manager target 0 Debbie 32000 1 Daisy 45000 2 Dorothy 18000 3 Tim 20000 4 Debbie 32000 Using pd.DataFrame.tolist() to write column to a list Here’s the Python code you’ll … Read more
In this quick recipe we’ll learn how to quickly create a chart that displays time series key performance indicator data. Let’s quickly start by creating some random data for this exercise: import pandas as pd import numpy as np # used for generating random data np.random.seed(10) date_range = pd.date_range(‘2020-01-01′,’2020-11-01′, freq =’MS’) raw_data = {‘time’: date_range, … Read more
The other day, a reader asked me the following question: I am getting started with using Matplotlib and Seaborn on a Jupyter notebook. Trying to show a simple scatter plot but nothing shows up. What do you think i am doing wrong so no chart is displayed ? It’s a bit hard to help without … Read more
In today’s quick tutorial we’ll cover the basics of labels rotation in Seaborn and Matplotlib. For convenience examples will be based on Seaborn charts, but they are fully relevant to Matplotlib. Here’s a Python snippet that builds a simple Seaborn barplot (sns.barplot). I assume that you have already imported Matplotlib and / or Seaborn to … Read more
In this tutorial we’ll learn about how to set and change legends in Python Seaborn charts. We’ll go through an end to end example which you might want to follow. We’ll be using our deliveries dataset, which you can download from here. Seaborn legends example Consider the following script that renders a scatter plot from … Read more