matplotlib.figure.Figure.tight_layout#

Figure.tight_layout(*, pad=1.08, h_pad=None, w_pad=None, rect=None)[source]#

Adjust the padding between and around subplots.

To exclude an artist on the Axes from the bounding box calculation that determines the subplot parameters (i.e. legend, or annotation), set a.set_in_layout(False) for that artist.

Parameters:
padfloat, default: 1.08

Padding between the figure edge and the edges of subplots, as a fraction of the font size.

h_pad, w_padfloat, default: pad

Padding (height/width) between edges of adjacent subplots, as a fraction of the font size.

recttuple (left, bottom, right, top), default: (0, 0, 1, 1)

A rectangle in normalized figure coordinates into which the whole subplots area (including labels) will fit.

Examples using matplotlib.figure.Figure.tight_layout#

Contour image

Contour image

Annotated heatmap

Annotated heatmap

pcolor images

pcolor images

pcolormesh

pcolormesh

QuadMesh Demo

QuadMesh Demo

Triinterp Demo

Triinterp Demo

Fill the area between two lines

Fill the area between two lines

Hat graph

Hat graph

Marker reference

Marker reference

Scatter Demo2

Scatter Demo2

Logit scale

Logit scale

Exploring normalizations

Exploring normalizations

Symlog scale

Symlog scale

Drawing fancy boxes

Drawing fancy boxes

Demo of the histogram function's different histtype settings

Demo of the histogram function's different histtype settings

The histogram (hist) function with multiple data sets

The histogram (hist) function with multiple data sets

Equal axis aspect ratio

Equal axis aspect ratio

Resize Axes with tight layout

Resize Axes with tight layout

Combine two subplots using subplots and GridSpec

Combine two subplots using subplots and GridSpec

Create multiple subplots using plt.subplots

Create multiple subplots using plt.subplots

Plots with different scales

Plots with different scales

Accented text

Accented text

Mathtext

Mathtext

Bar demo with units

Bar demo with units

Radian ticks

Radian ticks

Unit handling

Unit handling

Tight layout guide

Tight layout guide

Choosing Colormaps in Matplotlib

Choosing Colormaps in Matplotlib