Adjust Figures#
Figure Size, Background Color, DPI, etc.#
Built-in parameters of matplotlib.pyplot.figure could be passed alone with Waffle
as FigureClass
and PyWaffle parameters. Some of them are commonly used to adjust figure, like figsize
, dpi
, facecolor
, tight_layout
, etc. Check matplotlib.pyplot.figure for the details.
In the following example, we change the background color of figure by passing color value to facecolor
.
fig = plt.figure(
FigureClass=Waffle,
rows=5,
values=[30, 16, 4],
colors=["#232066", "#983D3D", "#DCB732"],
facecolor='#DDDDDD' # facecolor is a parameter of matplotlib.pyplot.figure
)
Plot Location#
Use parameter plot_anchor
to change the location of plot in the figure.
fig = plt.figure(
FigureClass=Waffle,
rows=5,
values=[30, 16, 4],
plot_anchor='S'
)
fig.set_facecolor('#DDDDDD')
Parameter tight
controls whether tight_layout
in matplotlib is called when drawing.
Tight Layout#
By default, PyWaffle sets the figure with tight layout. Thus, when showing the plot, the following warning might pop up:
UserWarning: This figure includes Axes that are not compatible with tight_layout, so its results might be incorrect
It is usually not an issue when saving the plot to a file, so it could ignored. If you still want to remove the moving, you can either suppress warnings through Python’s warnings
module, or set PyWaffle parameter tight
to False.