from matplotlib import rcParams
rcParams['font.family'] = 'sans-serif'
rcParams['font.sans-serif'] = ['Consolas']
import matplotlib.pyplot as plt
from matplotlib.patches import Rectangle
import colorsys

ls_h=[0,30,60,90,120,150,180,210,240,270,300,330]
ls_s=[255,128, 64,255,128, 64,255,128, 64]
ls_v=[255,255,255,192,192,192,128,128,128]
n=len(ls_h)
m=len(ls_s)

scolor=[]
for ii,h in enumerate(ls_h):
    sh=[]
    for s,v in zip(ls_s,ls_v):
        r,g,b=colorsys.hsv_to_rgb(h/360, s/255, v/255)
        ir=int(round(r*255,0))
        ig=int(round(g*255,0))
        ib=int(round(b*255,0))
        hrgb='#'
        hrgb=hrgb+'{0:0>2x}'.format(ir)
        hrgb=hrgb+'{0:0>2x}'.format(ig)
        hrgb=hrgb+'{0:0>2x}'.format(ib)
        scolor=scolor+[hrgb]

sx=0.01
sy=0.01
fig = plt.figure(figsize=(9,6))
ax = plt.gca()
k=-1
for i in range(1,n+1):
    for j in range(0,m):
        k=k+1
        col=scolor[k]
        x=float(j)+sx
        y=float(n-i)+sy
        dx=1.0-2.0*sx
        dy=1.0-2.0*sy
        xg=x+0.5*dx
        yg=y+0.5*dy
        cn='#000000'
        if 3<=j: cn='#ffffff'
        ax.add_patch(Rectangle((x,y), dx, dy, color=col))
        plt.text(xg,yg,col,ha='center',va='center',fontsize=10,color=cn)
ls_h.reverse()
# y-axis label
j=-1
x=float(j)+sx
dx=1.0-2.0*sx
xg=x+0.5*dx
for i,h in enumerate(ls_h):
    y=float(i)+sy
    dy=1.0-2.0*sy
    yg=y+0.5*dy
    cn='black'
    plt.text(xg,yg,str(h),ha='center',va='center',fontsize=11,color=cn)
# x-axis label
i=len(ls_h)
y=float(i)+sy
dy=1.0-2.0*sy
yg=y+0.5*dy
j=-1
for s,v in zip(ls_s,ls_v):
    j=j+1
    x=float(j)+sx
    dx=1.0-2.0*sx
    xg=x+0.5*dx
    cn='black'
    plt.text(xg,yg+dy/4,'s='+str(s),ha='center',va='center',fontsize=11,color=cn)
    plt.text(xg,yg-dy/4,'v='+str(v),ha='center',va='center',fontsize=11,color=cn)
# draw 'h'
j=-1;i=len(ls_h)
x=float(j)+sx
y=float(i)+sy
dx=1.0-2.0*sx
dy=1.0-2.0*sy
xg=x+0.5*dx
yg=y+0.5*dy
cn='black'
plt.text(xg,yg,'h',ha='center',va='center',fontsize=11,color=cn)

plt.xlim([-1,len(ls_s)])
plt.ylim([0,len(ls_h)+1])
plt.axis('off')
plt.savefig("fig_col_hsv.png", dpi=200)
plt.show()