Graphing 1

This is a follow up to Scientific Python 2.

We have previously compared the average masses of extant and extinct species on different continents to try to understand whether size has an influence on extinction in mammals. Looking at the averages was a good start, but we really need to look at the full distributions of masses of the two groups to get the best picture of whether or not there was a major size bias in extinctions during the late Pleistocene. Make a graph with a subplot for each continent that you think is worth visualizing. Each subplot should contain two histograms that use the same bins to display the number of extinct and extant species. Use the log(mass) rather than the mass itself so that you can see the form of the distributions more clearly. Label the axes appropriately. The optional argument alpha will allow you to make the histograms transparent, which will help with visualizing two histograms that overlap one another.

There is a lot of work to do in this problem so make sure to break it down in to manageable pieces. Some logical chunks include:

• Make a single graph with the histograms for extinct and extant species. This might work well as its own function.
• Downloading/importing the data
• Breaking the data up into separate continents
• Breaking the data up into extinct and extant species
• Looping over the data to make one plot of each continent