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You can use sharex or sharey to align the horizontal or vertical axis. Setting sharex or sharey to True enables global sharing across the whole grid, i.e. also the y-axes of vertically stacked subplots have the same scale when using sharey=True. For subplots that are sharing axes one set of tick labels is enough.
A simple way to create figures and a grid of Axes, with the added flexibility that Axes can also span rows or columns. The Axes are returned in a labelled dictionary instead of an array. See also Figure.subplot_mosaic and Complex and semantic figure composition (subplot_mosaic).
3 Μαρ 2014 · axis{index (0), columns (1)} Axis for the function to be applied on. For Series this parameter is unused and defaults to 0. For DataFrames, specifying axis=None will apply the aggregation across both axes.
For fig, axs = plt.subplot_mosaic([['left', 'right'], ['bottom', 'bottom']]), axs['left'] is an Axes in the top row on the left, and axs['bottom'] is an Axes that spans both columns on the bottom. See Arranging multiple Axes in a Figure for more detail on how to arrange grids of Axes on a Figure.
Conditional small multiples # The FacetGrid class is useful when you want to visualize the distribution of a variable or the relationship between multiple variables separately within subsets of your dataset. A FacetGrid can be drawn with up to three dimensions: row, col, and hue.
Here we'll create a $2 \times 3$ grid of subplots, where all axes in the same row share their y-axis scale, and all axes in the same column share their x-axis scale: In [6]: fig , ax = plt . subplots ( 2 , 3 , sharex = 'col' , sharey = 'row' )
A two-level categorical axis (also known as grouped or hierarchical categories, or sub-categories) can be created by specifying a trace's x or y property as a 2-dimensional lists. The first sublist represents the outer categorical value while the second sublist represents the inner categorical value.
