Tips for #visualization with #matplotlib and pandas and also something called seaborn, with a walkthrough of a series of financial examples
on 02017-07-13pcolormesh is the #matplotlib function for #visualization of 2-D arrays as e.g. pixels.
on 02016-09-11#Norvig’s more or less active-essay explanation of basic #economics, using simulations with #matplotlib and #IPython.
on 02015-11-19#matplotlib has a pyplot.xkcd() function to reduce the perceived seriousness of #visualization results! This is awesome! I think it just uses Humor Sans or Comic Sans for the text though. And it’s not in the old version of matplotlib I’m using.
#examples of how to do #visualization of small multiples with #matplotlib pyplot in #Python, using subplots and iterating over the axes in its return value
How to do nice #plotting of financial data with #IPython, #matplotlib, and #numpy (apparently matplotlib has a fetch_historical_yahoo function too now!)