![]() ![]() When we add another subplot, this process repeats. It places the subplot within the layout of that temporary grid at the specified index, based on that grid.Īfter the subplot is placed, that virtual or temporary grid disappears, and we have the subplots on the plot area, as we intended. It creates a temporary “virtual” grid on top of the entire plot area. ![]() What essentially happens when we create a subplot is as follows: index can also be a two-tuple specifying the ( first, last) indices (1-based, and including last) of the subplot, e.g., fig.addsubplot (3, 1, (1, 2)) makes a subplot that spans the upper. index starts at 1 in the upper left corner and increases to the right. Which again creates a temporary 2x2 grid, and places the subplot at index 4, which is the lower right area.Ī way to visualize this would be # is used to signify temporary empty subplots The subplot will take the index position on a grid with nrows rows and ncols columns. This will create a temporary 2x2 grid, and place the subplot at index 1 based on this 2x2 grid, which is the upper left.Īnd, if we wanted to add another subplot, say at the bottom right, we would do After we place the subplot based on the layout of this grid, it is removed until we create a new subplot, with a new temporary grid.įor example, if we create a subplot as follows Instead, think of it as though each time you use subplot, with some specified values, you are just creating a “virtual” or temporary grid layout placed on top of the entire plot area. When you apply subplot, you are not actually setting permanent dimensions for the layout of the plot grid. ![]() In order to understand how rows of a plot can have different numbers of columns, we first need to understand how the subplot essentially works. In the context of this exercise in Matplotlib, how can rows in a plot have different numbers of columns? Answer ![]()
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