It’s been a couple of years since I first used NetworkX in Python. Something that I expected to be truly obvious was adding node attributes to your network, preferably when calling a from_pandas_… function. However, that wasn’t the case. In this article, we’ll create a network from an edge list…
Today, I tried a data transformation that seemed so obvious: splitting the string values of a Pandas column on a delimiter and one-hot encode the resulting strings. However, it took me quite some time to figure out how to do it elegantly. Here’s what I wanted to achieve. I had…
This a brief overview on how to find the dependencies of a Python package. You might need this in case you have to upload packages to a custom package repository or conda channel. Let’s dive in. Find package dependencies with PyPi JSON endpoint To find a Python package’s dependencies, you…
In this article, you’ll learn how you can get metadata from your pipeline run inside your pipeline’s notebooks (or other activities). The documentation on this subject is relatively limited, so I hope it will prevent a lot of wasted time. In Airflow, you have macros, to refer to the metadata…
Coming from Airflow, I expected macros to be all over the place in Kubeflow. Surprisingly, it took me a lot of time to scramble some pieces of documentation on how to use them. In this blog post, I’ll try to give an overview of how and where you can use…
I ran into another silly error, for which I wanted to share the solution in order to save you some time. It occurs when trying to run a query using Python’s SQLAlchemy libary. Let’s dive right in. The problem When you’re trying to run a query, either by using Pandas’…
In this blog post, we’ll make a treemap in Python using Plotly Express. While this seems like a trivial task, there are some intricacies involved. I ran into multiple error, and I want to make sure you don’t. First, let’s load all relevant packages that you’re gonna need throughout this…
Recently, I needed to calculate the relative change of a value compared to the first value within a DataFrame group, a GroupBy object. With SQL, I would use a window function (e.g. PARTITION BY in PostgreSQL). In this article, we’ll do it in Pandas (Python). To demonstrate, let’s start with…
In this blog post, I explore the options for taking the row-wise sum of a subset of columns from a Pandas DataFrame. Let’s try to take the row-wise sum of the columns first_column, second_column, and third_column. This means we’re leaving other_column out. But first, let’s take a step back. If…
In this blog post we’ll do a small thing to remove trailing or leading whitespaces from a DataFrame’s column names. This is something that can occur when working with files that haven’t been properly formatted. There are multiple things you can do to fix this. First, let’s create some dummy…