This essentially sets up a 1 x 1 grid of subplots and returns the first (and only) axis object in the grid. I.e., reproducing the call fig.add_subplot(111) in the question. It can be opened via the toolbar or by calling pyplot.subplottool. Note There is also a tool window to adjust the margins and spacings of displayed figures interactively. If no positional arguments are passed, defaults to (1, 1, 1). Subplots spacings and margins Adjusting the spacing of margins and subplots using pyplot.subplotsadjust. In rare circumstances, add_subplot may be called with a single argument, a subplot axes instance already created in the present figure but not in the figure's list of axes. Note that all integers must be less than 10 for this form to work. fig.add_subplot(235) is the same as fig.add_subplot(2, 3, 5). Pos is a three digit integer, where the first digit is the number of rows, the second the number of columns, and the third the index of the subplot. I.e it illustrates this point from the documentation: You can see with call 1 on the LHS you can return any axis object, however with call 2 on the RHS you can only return up to index = 9 rendering subplots j), k), and l) inaccessible using this call. idx specifies the index position of the plot on the grid. ncols specifies the number of columns in the grid, drawn on the figure for subplots. ) In the above syntax, nrows specifies the number of rows in the grid, drawn on the figure for subplots. '''Simple function to add a straight lineĪxis = f.add_subplot(3,4,i+1, fc=(0,0,0,i/(_max*2)), xticks=, yticks=) The syntax is as follows: (nrows, ncols, idx, label, projection. This code illustrates the limitations of using call 2: #!/usr/bin/env python3 The third number in each call indicates which axis object to return, starting from 1 at the top left, increasing to the right. Think of them as first specifying the grid layout with their first 2 numbers (2x2, 1x8, 3x4, etc), e.g: f.add_subplot(3,4,1)īoth produce a subplot arrangement of (3 x 4 = 12) subplots in 3 rows and 4 columns. add_subplot(nrows, ncols, index, **kwargs)Ĭalls 1 and 2 achieve the same thing as one another (up to a limit, explained below).The add_subplot() method has several call signatures:
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