![]() One strength, but also arguably one of Matplotlib’s biggest weaknesses, is its flexibility which allows you to accomplish the same task in many different ways. So what can we do in this situation? We have a list of items we want to plot and we have a list of lists with our subplots, is there a way to conveniently plot our data in a single for loop? This is because, when creating the subplot grid using plt.subplots, you are returned list of lists containing the subplot objects, rather than a single list containing of subplot objects which you can iterate through in a single for loop (see below): However, when using Matplotlib’s plotting API it is not straightforward to just create a grid of subplots and directly iterate through them in conjunction with your list of plotting attributes. total order value by day) on a grid of individual subplots. a list of customer IDs) and sequentially plot their values (e.g. In an ideal world, you would like to be able to iterate this list of items (e.g. ![]() For example, when you have a list of attributes or cross-sections of the data which you want investigate further by plotting on separate plots. ![]() When carrying out exploratory data analysis (EDA), I repeatedly find myself Googling how to plot subplots in Matplotlib using a single for loop.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |