After what feels like years chipping away at the problem, not least from some awesome developers including the whole of the IPython development team, Michael Droetboom and Jason Grout, I recently closed the development loop and added a new matplotlib backend providing interactive figures in the IPython notebook environment. The …

I often deal with huge gridded datasets which either stretch or indeed are beyond the limits of my computer's memory. In the past I've implemented a couple of workarounds to help me handle this data to extract meaningful analyses from them. One of the most intuitive ways of reducing gridded …

When dealing with colours in scientific visualisations some people like to have a colourmap which can be indexed into to pick specific colours. Whilst this isn't necessarily the best way of handling colours in matplotlib, it certainly adds a degree of familiarity to users who have come over from other …

I recently added a new function to matplotlib to make it easier to draw pseudo-colour plots given specific levels and colours, in exactly the same way as you can with contour and contourf. import numpy as np import matplotlib.pyplot as plt from matplotlib.colors import from_levels_and_colors cmap, norm = from_levels_and_colors …