matplotlib.pyplot.subplot_mosaic(mosaic, *, sharex=False, sharey=False, subplot_kw=None, gridspec_kw=None, empty_sentinel='.', **fig_kw)[source]#

Build a layout of Axes based on ASCII art or nested lists.

This is a helper function to build complex GridSpec layouts visually.


This API is provisional and may be revised in the future based on early user feedback.

See Complex and semantic figure composition for an example and full API documentation

mosaiclist of list of {hashable or nested} or str

A visual layout of how you want your Axes to be arranged labeled as strings. For example

x = [['A panel', 'A panel', 'edge'],
     ['C panel', '.',       'edge']]

produces 4 axes:

  • 'A panel' which is 1 row high and spans the first two columns

  • 'edge' which is 2 rows high and is on the right edge

  • 'C panel' which in 1 row and 1 column wide in the bottom left

  • a blank space 1 row and 1 column wide in the bottom center

Any of the entries in the layout can be a list of lists of the same form to create nested layouts.

If input is a str, then it must be of the form


where each character is a column and each line is a row. This only allows only single character Axes labels and does not allow nesting but is very terse.

sharex, shareybool, default: False

If True, the x-axis (sharex) or y-axis (sharey) will be shared among all subplots. In that case, tick label visibility and axis units behave as for subplots. If False, each subplot's x- or y-axis will be independent.

subplot_kwdict, optional

Dictionary with keywords passed to the Figure.add_subplot call used to create each subplot.

gridspec_kwdict, optional

Dictionary with keywords passed to the GridSpec constructor used to create the grid the subplots are placed on.

empty_sentinelobject, optional

Entry in the layout to mean "leave this space empty". Defaults to '.'. Note, if layout is a string, it is processed via inspect.cleandoc to remove leading white space, which may interfere with using white-space as the empty sentinel.


All additional keyword arguments are passed to the pyplot.figure call.


The new figure

dict[label, Axes]

A dictionary mapping the labels to the Axes objects. The order of the axes is left-to-right and top-to-bottom of their position in the total layout.

Examples using matplotlib.pyplot.subplot_mosaic#