本文整理匯總了Python中pyqtgraph.hsvColor方法的典型用法代碼示例。如果您正苦於以下問題：Python pyqtgraph.hsvColor方法的具體用法？Python pyqtgraph.hsvColor怎麽用？Python pyqtgraph.hsvColor使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類pyqtgraph的用法示例。
在下文中一共展示了pyqtgraph.hsvColor方法的6個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: setup_range
# 需要導入模塊: import pyqtgraph [as 別名]
# 或者: from pyqtgraph import hsvColor [as 別名]
def setup_range(self):
self.win = np.hanning(self.bins)
FS = self.sampling_rate
#num_bars = int(round((self.bins - 1) * (self.hi - self.lo) / FS))
num_bars = len(np.zeros(self.bins)[self.lo: self.hi])
#print 'num_bars', num_bars, self.bins * (self.hi - self.lo) / FS
x = np.linspace(self.lo, self.hi, num_bars)
self.bars = pg.BarGraphItem(x=x, height=range(num_bars), width=1.0)
self.bars.setOpts(brushes=[pg.hsvColor(float(x) / num_bars) for x in range(num_bars)])
self.plot.addItem(self.bars) 示例2: update
# 需要導入模塊: import pyqtgraph [as 別名]
# 或者: from pyqtgraph import hsvColor [as 別名]
def update(self):
t1=time.clock()
points=100 #number of data points
X=np.arange(points)
Y=np.sin(np.arange(points)/points*3*np.pi+time.time())
C=pyqtgraph.hsvColor(time.time()/5%1,alpha=.5)
pen=pyqtgraph.mkPen(color=C,width=10)
self.grPlot.plot(X,Y,pen=pen,clear=True)
print("update took %.02f ms"%((time.clock()-t1)*1000))
if self.chkMore.isChecked():
QtCore.QTimer.singleShot(1, self.update) # QUICKLY repeat 示例3: wlPen
# 需要導入模塊: import pyqtgraph [as 別名]
# 或者: from pyqtgraph import hsvColor [as 別名]
def wlPen(wl):
"""Return a pen representing the given wavelength"""
l1 = 400
l2 = 700
hue = np.clip(((l2-l1) - (wl-l1)) * 0.8 / (l2-l1), 0, 0.8)
val = 1.0
if wl > 700:
val = 1.0 * (((700-wl)/700.) + 1)
elif wl < 400:
val = wl * 1.0/400.
#print hue, val
color = pg.hsvColor(hue, 1.0, val)
pen = pg.mkPen(color)
return pen 示例4: draw_buffer
# 需要導入模塊: import pyqtgraph [as 別名]
# 或者: from pyqtgraph import hsvColor [as 別名]
def draw_buffer(self):
self.buff_win = pg.GraphicsLayoutWidget()
self.buff_win.setWindowTitle('Buffer Status')
self.buff_win.resize(800, 700)
self.total_peers = self.number_of_monitors + self.number_of_peers + self.number_of_malicious
self.p4 = self.buff_win.addPlot()
self.p4.showGrid(x=True, y=True, alpha=100) # To show grid lines across x axis and y axis
leftaxis = self.p4.getAxis('left') # get left axis i.e y axis
leftaxis.setTickSpacing(5, 1) # to set ticks at a interval of 5 and grid lines at 1 space
# Get different colors using matplotlib library
if self.total_peers < 8:
colors = cm.Set2(np.linspace(0, 1, 8))
elif self.total_peers < 12:
colors = cm.Set3(np.linspace(0, 1, 12))
else:
colors = cm.rainbow(np.linspace(0, 1, self.total_peers+1))
self.QColors = [pg.hsvColor(color[0], color[1], color[2], color[3])
for color in colors] # Create QtColors, each color would represent a peer
self.Data = [] # To represent buffer out i.e outgoing data from buffer
self.OutData = [] # To represent buffer in i.e incoming data in buffer
# a single line would reperesent a single color or peer, hence we would not need to pass a list of brushes
self.lineIN = [None]*self.total_peers
for ix in range(self.total_peers):
self.lineIN[ix] = self.p4.plot(pen=(None), symbolBrush=self.QColors[ix], name='IN', symbol='o', clear=False)
self.Data.append(set())
self.OutData.append(set())
# similiarly one line per peer to represent outgoinf data from buffer
self.lineOUT = self.p4.plot(pen=(None), symbolBrush=mkColor('#CCCCCC'), name='OUT', symbol='o', clear=False)
self.p4.setRange(xRange=[0, self.total_peers], yRange=[0, self.get_buffer_size()])
self.buff_win.show() # To actually show create window
self.buffer_order = {}
self.buffer_index = 0
self.buffer_labels = []
self.lastUpdate = pg.ptime.time()
self.avgFps = 0.0 示例5: init
# 需要導入模塊: import pyqtgraph [as 別名]
# 或者: from pyqtgraph import hsvColor [as 別名]
def init(self, lo=0, hi=125, bins=256, yrange=750, ratio=False):
self.widget = pg.PlotWidget()
self.widget.setLabel('bottom', 'Frequency', units='Hz')
self.bars = pg.BarGraphItem()
self.win = np.hanning(bins)
self.win = np.blackman(bins)
#self.win = np.ones(bins)
self.lo, self.hi = lo, hi
self.ratio = ratio
FS = self.input.sample_rate
self.gr_block.set_history(bins)
#num_bars = int(round((self.bins - 1) * (self.hi - self.lo) / FS))
# This is total bullshit:
num_bars = len(np.zeros(bins)[lo: hi])
x = np.linspace(self.lo, self.hi, num_bars)
self.bars = pg.BarGraphItem(x=x, height=range(num_bars), width=1.0)
self.bars.setOpts(brushes=[pg.hsvColor(float(x) / num_bars) for x in range(num_bars)])
self.widget.addItem(self.bars)
# TODO: Better autoranging features
#self.plot.enableAutoRange('xy', False)
self.widget.setYRange(0, yrange)
self.widget.enableAutoRange('y', 0.95)
self.buffer = np.zeros(bins)
self.timer = QtCore.QTimer()
self.timer.timeout.connect(self.updateGUI)
self.timer.start(10) 示例6: init
# 需要導入模塊: import pyqtgraph [as 別名]
# 或者: from pyqtgraph import hsvColor [as 別名]
def init(self, lo=0, hi=125, bins=256, yrange=750, ratio=False):
self.widget = pg.PlotWidget()
self.widget.setLabel('bottom', 'Frequency', units='Hz')
self.bars = pg.BarGraphItem()
self.win = np.hanning(bins)
self.win = np.blackman(bins)
#self.win = np.ones(bins)
self.lo, self.hi = lo, hi
self.ratio = ratio
FS = self.input.sample_rate
self.gr_block.set_history(bins)
#num_bars = int(round((self.bins - 1) * (self.hi - self.lo) / FS))
# This is total bullshit:
num_bars = len(np.zeros(bins)[lo: hi])
x = np.linspace(self.lo, self.hi, num_bars)
self.bars = pg.BarGraphItem(x=x, height=range(num_bars), width=1.0)
self.bars.setOpts(brushes=[pg.hsvColor(float(x) / num_bars) for x in range(num_bars)])
self.widget.addItem(self.bars)
# TODO: Better autoranging features
#self.plot.enableAutoRange('xy', False)
self.widget.setYRange(0, yrange)
self.widget.enableAutoRange('y', 0.95)
self.buffer = np.zeros(bins)
self.timer = pg.QtCore.QTimer()
self.timer.timeout.connect(self.updateGUI)
self.timer.start(10)