colornames.py

"""
========================
Visualizing named colors
========================

Simple plot example with the named colors and its visual representation.
"""
importpathlib

importmatplotlibasmpl
importmatplotlib.pyplotasplt


ROOT_DIR=pathlib.Path(__file__).parent.parent

mpl.style.use([
ROOT_DIR/'styles/base.mplstyle',
])
mpl.rc('figure.constrained_layout', h_pad=0, w_pad=0, hspace=0, wspace=0)

colors=dict(mpl.colors.BASE_COLORS, **mpl.colors.CSS4_COLORS)

# Sort colors by hue, saturation, value and name.
by_hsv=sorted((tuple(mpl.colors.rgb_to_hsv(mpl.colors.to_rgba(color)[:3])), name)
forname, colorincolors.items())
sorted_names= [nameforhsv, nameinby_hsv]

n=len(sorted_names)
ncols=3
nrows=n//ncols

fig, ax=plt.subplots(figsize=(4.5, 6))

# Get height and width
X, Y=fig.get_dpi() *fig.get_size_inches()
h=Y/ (nrows+1)
w=X/ncols

fori, nameinenumerate(sorted_names):
col=i//nrows
row=i%nrows
y=Y- (row*h) -h

xi_line=w* (col+0.05)
xf_line=w* (col+0.25)
xi_text=w* (col+0.3)

ax.text(xi_text, y, name, fontsize=7,
horizontalalignment='left',
verticalalignment='center')

ax.hlines(y+h*0.1, xi_line, xf_line,
color=colors[name], linewidth=(h*0.6))

ax.set_xlim(0, X)
ax.set_ylim(0, Y)
ax.set_axis_off()

fig.savefig(ROOT_DIR/"figures/colornames.pdf")