def setsize(self, w, h):
def makecolor(l: list) -> int:
return int.from_bytes(pack('=3B', *list(map(int, l))), byteorder='big')
self.sw, self.sh, wh = w, h, w * h
self.icon = np.zeros(wh, dtype=np.uint32)
self.screen = np.zeros(wh, dtype=np.uint32)
self.color_list = list(map(makecolor, cmap.colormap('Pastel1', self.nColors)))
def colors(self, cm=None):
try:
_cm = cm
if cm is None: # random
_cm = self.colormapNames[randint(0, len(self.colormapNames))]
else:
if type(cm) == int: # by index
_cm = self.colormapNames[cm]
self._colors = cmap.colormap(_cm, self.resol ** 2)
except:
pass
return self._colors
def plot_color_gradients(cmap_category, cmap_list, nrows):
fig, axes = plt.subplots(nrows=nrows)
fig.subplots_adjust(top=0.95, bottom=0.01, left=0.2, right=0.99)
axes[0].set_title(cmap_category + ' colormaps', fontsize=14)
for ax, name in zip(axes, cmap_list):
c = cm.colormap(name)
c = mpl.colors.ListedColormap(c, name=name, N=c.shape[0])
ax.imshow(gradient, aspect='auto', cmap=c)
pos = list(ax.get_position().bounds)
x_text = pos[0] - 0.01
y_text = pos[1] + pos[3] / 2.
fig.text(x_text, y_text, name, va='center', ha='right', fontsize=10)
for ax in axes:
ax.set_axis_off()
plt.savefig(
cmap_category.replace(' ', '_').replace('(', '').replace(
')', '').replace('_-_', '_') + '.png')
plt.close()
def plot_color_gradients(cmap_category, cmap_list, nrows):
fig, axes = plt.subplots(nrows=nrows)
fig.subplots_adjust(top=0.95, bottom=0.01, left=0.2, right=0.99)
axes[0].set_title(cmap_category + " colormaps", fontsize=14)
for ax, name in zip(axes, cmap_list):
c = cm.colormap(name)
c = mpl.colors.ListedColormap(c, name=name, N=c.shape[0])
ax.imshow(gradient, aspect="auto", cmap=c)
pos = list(ax.get_position().bounds)
x_text = pos[0] - 0.01
y_text = pos[1] + pos[3] / 2.0
fig.text(x_text, y_text, name, va="center", ha="right", fontsize=10)
for ax in axes:
ax.set_axis_off()
plt.savefig(
cmap_category.replace(" ", "_").replace("(", "").replace(
")", "").replace("_-_", "_") + ".png")
plt.close()
"Red",
"RedOrange",
"RedViolet",
"Rhodamine",
"RoyalBlue",
"RoyalPurple",
"RubineRed",
"Salmon",
"SeaGreen",
"Sepia",
"SkyBlue",
"SpringGreen",
"Tan",
"TealBlue",
"Thistle",
"Turquoise",
"Violet",
"VioletRed",
"WildStrawberry",
"Yellow",
"YellowGreen",
"YellowOrange")
dvips = np.array([list(cm.colormap(name, 1)[0, :]) for name in names])
jet = cm.jet(256)
idx = cm.match(dvips, jet, cm.metric.perceptual)
jdx = np.argsort(idx)
print('\n'.join([names[i] for i in jdx]))
"PineGreen",
"Plum",
"ProcessBlue",
"Purple",
"RawSienna",
"RedOrange",
"RedViolet",
"Rhodamine",
"RoyalBlue",
"RoyalPurple",
"RubineRed",
"Salmon",
"SeaGreen",
"Sepia",
"SkyBlue",
"SpringGreen",
"Tan",
"TealBlue",
"Thistle",
"Turquoise",
"Violet",
"VioletRed",
"WildStrawberry",
"Yellow",
"YellowGreen",
"YellowOrange",
]
for cmap in cmaps:
c = cppcolormap.colormap(cmap)
def setsize(self, w, h):
self.sw, self.sh, wh = w, h, w * h
self.icon = [0] * wh
self.screen = [0] * wh
self.colorlist = list(
map(self.makecolor, cmap.colormap('Pastel2', self.colosSize)))
import cppcolormap as cmap
import matplotlib.pyplot as plt
import numpy as np
colormapNames = 'Accent,Dark2,Paired,Spectral,Pastel1,Pastel2,Set1,Set2,Set3,Blues,Greens,Greys,Oranges,Purples,Reds,BuPu,GnBu,PuBu,PuBuGn,PuRd,RdPu,OrRd,RdOrYl,YlGn,YlGnBu,YlOrRd,BrBG,PuOr,RdBu,RdGy,RdYlBu,RdYlGn,PiYG,PRGn'
# number of colors in the colormap (optional, may be omitted)
N = 128
# specify the colormap as string
cr = cmap.colormap("Reds", N)
cc = cmap.colorcycle("tue")
# or call the functions directly
c = cmap.Reds(N)
c = cmap.tue()
plt.imshow(
np.reshape(
cmap.colormap(colormapNames.split(',')[6], N * N) / 255., (N, N, 3)))
plt.show()
setpoint(self.apcx + self.x * self.rsc,
self.apcy + self.y * self.rsc)
else:
self.k += 1
def reshape2RGB(): # reshape self.screen from uint32 wxh to w, h, 3 RGB uint8
return np.reshape(np.ascontiguousarray(self.screen.view(np.uint8)), (self.sw, self.sh, 4))[..., :3]
for i in range(niters):
iterate()
return reshape2RGB()
if __name__ == '__main__':
mf = 1
w, h, niters, npreset = 1024 * mf, 1024 * mf, 90_000, 5
print(f'generating {w:} x {h:} symmetric icon with {niters:,} iterations, type:{npreset:}')
color_list = np.array(list(map(SymmetricIcon.makecolor, cmap.colormap('Pastel1', 2112))), dtype=np.int32)
screen = SymmetricIcon(w, h, npreset, color_list).generate(niters)
fig = plt.figure('symmetric icons, %d iterations ' % niters)
ax = plt.Axes(fig, [0., 0., 1., 1.])
ax.set_axis_off()
fig.add_axes(ax)
plt.imshow(screen)
plt.show()
