def OnCMapChanged(self, event):
#print event.GetId()
ind = self.cIds.index(event.GetId())
cmn = event.GetString()
if cmn == 'fastGrey':
self.do.SetCMap(ind, fast_grey)
elif cmn == 'labeled':
self.do.SetCMap(ind, labeled)
else:
self.do.SetCMap(ind, cm.__getattribute__(cmn))
def lines(x, lines=None, cmap='viridis', **kwargs):
if lines is None:
lines = list(x)
x = np.arange(len(lines[0]))
else:
lines = list(lines)
colors = cm.__getattribute__(cmap)(np.linspace(0, 1, len(lines)))
for line, color in zip(lines, colors):
plt.plot(x, line, color=color)
def load_maps(self):
"""
If it's necessary, loads matplotlib's color maps and adds them
to the collection.
EXAMPLES::
sage: from sage.plot.colors import Colormaps
sage: maps = Colormaps()
sage: len(maps.maps)
0
sage: maps.load_maps()
sage: len(maps.maps)>130
True
"""
global cm
if not cm:
from matplotlib import cm
if not self.maps:
for cmap in cm.datad.keys():
self.maps[cmap] = cm.__getattribute__(cmap)
def load_maps(self):
"""
If it's necessary, loads matplotlib's color maps and adds them
to the collection.
EXAMPLES::
sage: from sage.plot.colors import Colormaps
sage: maps = Colormaps()
sage: len(maps.maps)
0
sage: maps.load_maps()
sage: len(maps.maps)>130
True
"""
global cm
if not cm:
from matplotlib import cm
if not self.maps:
for cmap in cm.datad.keys():
self.maps[cmap] = cm.__getattribute__(cmap)
#log.debug(input_file)
csvfile = csv.reader(input_file)
for i in csvfile:
row = []
for j in i:
for width in range(graph_width):
v = float(j)
v = minv if minv and minv > v else v
v = maxv if maxv and maxv < v else v
row.append(v)
for height in range(graph_height):
data.append(row)
fig, ax = plt.subplots(figsize=(canvas_width, canvas_height), dpi=10)
cax = ax.imshow(data,
interpolation='nearest',
cmap=cm.__getattribute__(gtype))
cur_path = os.path.dirname(__file__)
prop = fm.FontProperties(fname=cur_path + '/static/fonts/ipag.ttf')
ax.set_title(title, fontproperties=prop)
# グラフ表示用のデータ生成
_min = min([j for i in data for j in i])
_max = max([j for i in data for j in i])
_ave = (_min + _max) / 2.0
log.debug("min = %d" % _min)
log.debug("max = %d" % _max)
log.debug("ave = %d" % _ave)
ticks = [_min] + [
_min + d * (_max - _min) / float(splitnum)
for d in range(1, splitnum)
] + [_max]
cbar = fig.colorbar(cax, ticks=ticks)
def cmap_colors(cmap, n, vmin=0, vmax=1): return cm.__getattribute__(cmap)(np.linspace(vmin, vmax, n))
def colormap(cmapName):
try:
return cm.__getattribute__(cmapName)
except:
return cm.jet
log.info("--start-- graph_generate")
data = []
#log.debug(input_file)
csvfile = csv.reader(input_file)
for i in csvfile:
row = []
for j in i:
for width in range(graph_width):
v = float(j)
v = minv if minv and minv>v else v
v = maxv if maxv and maxv<v else v
row.append(v)
for height in range(graph_height):
data.append(row)
fig, ax = plt.subplots(figsize=(canvas_width, canvas_height),dpi=10)
cax = ax.imshow(data, interpolation='nearest', cmap=cm.__getattribute__(gtype))
cur_path = os.path.dirname(__file__)
prop = fm.FontProperties(fname=cur_path+'/static/fonts/ipag.ttf')
ax.set_title(title, fontproperties=prop)
# グラフ表示用のデータ生成
_min = min([j for i in data for j in i ])
_max = max([j for i in data for j in i])
_ave = (_min+_max)/2.0
log.debug("min = %d"%_min)
log.debug("max = %d"%_max)
log.debug("ave = %d"%_ave)
ticks = [_min]+[_min+d*(_max-_min)/float(splitnum) for d in range(1,splitnum)]+[_max]
cbar = fig.colorbar(cax, ticks=ticks)
cbar.ax.set_yticklabels(['%.3f'%t for t in ticks])# vertically oriented colorbar
imgdata = StringIO.StringIO()
