Posted on Wed 22 May 2019 • Tagged with python, snippets • 5 min read
Python's logging functionality is very nice once you get the hang of it, but many people either disagree or don't bother to use it. Learn how to redirect other people's pesky print statements into your nice logging setup.
Posted on Sat 13 April 2019 • Tagged with python, data, time series, pandas • 5 min read
I recently discovered that Pandas has a function to propagate time series events forward (or backward) in time across a DataFrame. Here's how it works.
Posted on Thu 19 July 2018 • Tagged with python, statistics, puzzles • 10 min read
I found this puzzle a while ago and couldn't get it out of my head, so I decided to write up a solution. "Calvin has to cross several signals when he walks from his home to school. Each of these signals operate independently. They alternate every 80 seconds between green light and red light. At each signal, there is a counter display that tells him how long it will be before the current signal light changes. Calvin has a magic wand which lets him turn a signal from red to green instantaneously. However, this wand comes with limited battery life, so he can use it only for a specified number of times."
Posted on Sat 02 December 2017 • Tagged with natural language, dataviz, d3.js • 12 min read
Everyone is used to the map. Most people could make a reasonable attempt at drawing one from memory (well, sort of). But what would it look like if we positioned the countries not by geographical location, but by our own perceived relationships between them? Armed with Conceptnet Numberbatch, I decided to try just that.
Posted on Thu 16 November 2017 • Tagged with spark, python, data, snippets • 3 min read
One of the handy features that makes (Py)Spark more flexible than database tools like Hive even for just transforming tabular data is the ease of creating User Defined Functions (UDFs). However, one thing that still remains a little annoying is that you have to separately define a function and declare it as a UDF. With four lines of code you can clean those definitions right up.
Posted on Fri 22 September 2017 • Tagged with python, spark, data, pandas, time series • 4 min read
Since I've started using Apache Spark, one of the frequent annoyances I've come up against is having an idea that would be very easy to implement in Pandas, but turns out to require a really verbose workaround in Spark. A recent example of this is doing a forward fill (filling null values with the last known non-null value).
Posted on Fri 21 July 2017 • Tagged with web, css, pelican, jinja • 5 min read
Today I decided that, since I'm a data kind of guy, I would like my tags page to show a bar chart of how many posts per tag I've made. The idea was to basically have a list of tags on the left, with a bar chart on the right showing how many articles are tagged with that tag, and the bars scaling to the window size. It turned out to be more complicated than I was expecting.
Posted on Mon 17 July 2017 • Tagged with python, pandas, data, time series • 2 min read
Pandas has a useful feature that I didn't appreciate enough when I first started using it: groupbys without aggregation. What do I mean by that? Let's look at an example.
Posted on Sat 15 July 2017 • Tagged with python, pandas, data, time series • 4 min read
This is a cute trick I discovered the other day for quickly computing the time since an event on regularly spaced time series data (like monthly reporting), without looping over the data.
Posted on Thu 11 May 2017 • Tagged with python, dataviz, matplotlib • 2 min read
At KPMG, like (I imagine) at most companies, we have a custom color palette that presentations and other materials are supposed to conform to. I actually quite like it when things I produce have a consistent look and feel, so I decided to find out how to make a custom color palette in matplotlib. Turns out that it's super easy.