For the Love of Suffering
ways to suffer, and not
- Dotplots with Matplotlib (2016-06-24)
- Event Density Plot (2016-06-18)
- A List of Digital Leica M Cameras (2016-05-11)
- A Simple GUI and Command-line Python Program (2016-02-07)
- Plotting Data in Org-Mode Tables with Python (2015-09-04)
I like the dotplots that R + ggplot2 can make. There are lots of examples of this on the Internet. At least one is at r-bloggers, but Python is useful for many reasons, so I want to make a decent looking, chartjunk-free dotplot using matplotlib.
I want to visualize how many concurrent events exist in a time period along with how frequently they start and end. I don’t need to read numbers off the visualization, I just want to get a relative sense of how many events are starting, ongoing, and ending over a time period with some resolution. Something that looks like this:
There really should be a definitive list of digital Leica M cameras, and I’m happy to turn this blog post into a link to that list. Until then, I hope this helps someone.
I needed to make a simple GUI for translating comma-separated value
input into a reStructuredText table, and ended up writing a simple
Python program that might be a useful example for you of Tkinter,
tkFileDialog, and a combination command line and GUI program.
Among the huge number of great things about Emacs’ Org-Mode is its table editing and spreadsheet capabilities. Combined with OrgBabel and Python, Org-Mode has a light-weight but capable data visualization tool.