def OnBar(self,event):
"""
Plot bars
"""
setplot.set_default_params(self.axes, self.figure)
X = self.data.grid_data.GetArrayData()
rows,cols = X.shape
# Reference: http://matthiaseisen.com/pp/patterns/p0178/
#
# Space between bars groups (FACTOR)
KB = 0.85
# Counter
k = 0
# For each row
for jj in range(rows):
kw = 1.0/(cols+1.5) # bar width
x = np.linspace(k, k+KB, cols, endpoint=False)
self.axes.bar(x, X[jj,:], width=kw, color=BAR_COLOR_CYCLE)
k += 1
# For ticks
STEP = 1.0
INITIAL_TICK = KB/2.0 # Medium point
END_TICK = rows
_xticks = np.arange(INITIAL_TICK, END_TICK, STEP)
self.axes.set_xticks(_xticks)
# For xticklabels
_tick_labels = range(1, rows+1)
self.axes.set_xticklabels(_tick_labels)
# Change xticklabels using "X-Ticks" icon (AxesToolbar)
# Redraw
self.canvas.draw()
def OnBar(self,event):
"""
Plot bars
"""
setplot.set_default_params(self.axes, self.figure)
X = self.data.grid_data.GetArrayData()
rows,cols = X.shape
# Reference: http://matthiaseisen.com/pp/patterns/p0178/
#
# Space between bars groups (FACTOR)
KB = 0.85
# Counter
k = 0
# For each row
for jj in range(rows):
kw = 1.0/(cols+1.5) # bar width
x = np.linspace(k, k+KB, cols, endpoint=False)
self.axes.bar(x, X[jj,:], width=kw, color=BAR_COLOR_CYCLE)
k += 1
# For ticks
STEP = 1.0
INITIAL_TICK = KB/2.0 # Medium point
END_TICK = rows
_xticks = np.arange(INITIAL_TICK, END_TICK, STEP)
self.axes.set_xticks(_xticks)
# For xticklabels
_tick_labels = range(1, rows+1)
self.axes.set_xticklabels(_tick_labels)
# Change xticklabels using "X-Ticks" icon (AxesToolbar)
# Redraw
self.canvas.draw()
def OnScatter(self,event):
setplot.set_default_params(self.axes,self.figure)
X = self.data.grid_data.GetArrayData()
rows,cols = X.shape
if cols == 2: # Common case
self.axes.plot(X[:,0], X[:,1], "o", color="#348ABD")
elif cols == 1: # one column
self.axes.plot(X[:,0], "o", color="#348ABD")
self.canvas.draw()
def OnScatter(self,event):
setplot.set_default_params(self.axes,self.figure)
X = self.data.grid_data.GetArrayData()
rows,cols = X.shape
if cols == 2: # Common case
self.axes.plot(X[:,0], X[:,1], "o", color="#348ABD")
elif cols == 1: # one column
self.axes.plot(X[:,0], "o", color="#348ABD")
self.canvas.draw()
def initCanvas(self):
# Creating Figure & Axes
self.figure = Figure()
self.axes = self.figure.add_subplot(111)
self.canvas = FigureCanvas(self, -1, self.figure)
self.EVT_ON_RIGHT = self.canvas.mpl_connect('button_press_event', self.OnRightClick)
# Graph properties
setplot.set_default_params(self.axes,self.figure)
# FigureCanvas
self.mainsz.Add(self.canvas, 1, wx.EXPAND|wx.ALL, 1)
def initCanvas(self):
# Creating Figure & Axes
self.figure = Figure()
self.axes = self.figure.add_subplot(111)
self.canvas = FigureCanvas(self, -1, self.figure)
# Initial events
self.EVT_ON_RIGHT = self.canvas.mpl_connect('button_press_event', self.OnRightClick)
self.EVT_ON_SCROLL = self.canvas.mpl_connect('scroll_event', self.OnScroll)
# Graph properties
setplot.set_default_params(self.axes,self.figure)
# FigureCanvas
self.mainsz.Add(self.canvas, 1, wx.EXPAND|wx.ALL, 1)
def OnPie(self,event):
setplot.set_default_params(self.axes,self.figure)
X = self.data.grid_data.GetArrayData()
rows,cols = X.shape
n = float(rows)
from matplotlib import cm
a=np.random.random(n)
colors=cm.Set1(np.arange(n)/n)
if cols == 1:
_ , self.pie_labels = self.axes.pie(X[:,0], labels=X[:,0], colors=colors)
self.axes.set_aspect("equal")
else:
pass # nothing to do here
self.canvas.draw()
def OnPie(self,event):
setplot.set_default_params(self.axes,self.figure)
X = self.data.grid_data.GetArrayData()
rows,cols = X.shape
n = float(rows)
from matplotlib import cm
a=np.random.random(n)
colors=cm.Set1(np.arange(n)/n)
if cols == 1:
_ , self.pie_labels = self.axes.pie(X[:,0], labels=X[:,0], colors=colors)
self.axes.set_aspect("equal")
else:
pass # nothing to do here
self.canvas.draw()
def OnPlot(self,event):
"""
Line plot
"""
setplot.set_default_params(self.axes,self.figure)
busy_dlg = aux.BusyInfo("Wait a moment...", self)
X = self.data.grid_data.GetArrayData()
rows,cols = X.shape
if cols == 2: # Common case
self.axes.plot(X[:,0],X[:,1], picker=True)
elif cols == 1:
self.axes.plot(X[:,0], picker=True)
elif cols > 2:
for col in range(cols):
#clabel = self.data.grid_data.GetColLabelValue(col)
self.axes.plot(X[:,col], picker=True)
self.canvas.draw()
del busy_dlg
def OnPlot(self,event):
"""
Line plot
"""
setplot.set_default_params(self.axes,self.figure)
busy_dlg = aux.BusyInfo("Wait a moment...", self)
X = self.data.grid_data.GetArrayData()
rows,cols = X.shape
if cols == 2: # Common case
self.axes.plot(X[:,0],X[:,1], picker=True)
elif cols == 1:
self.axes.plot(X[:,0], picker=True)
elif cols > 2:
for col in range(cols):
#clabel = self.data.grid_data.GetColLabelValue(col)
self.axes.plot(X[:,col], picker=True)
self.canvas.draw()
del busy_dlg
def OnContourf(self,event):
setplot.set_default_params(self.axes,self.figure)
X = self.data.grid_data.GetArrayData()
rows,cols = X.shape
self.axes.contourf(X)
self.canvas.draw()
def OnImage(self,event):
setplot.set_default_params(self.axes,self.figure)
X = self.data.grid_data.GetArrayData()
rows,cols = X.shape
self.axes.imshow(X, cmap=cm.gray)
self.canvas.draw()
def OnContourf(self,event):
setplot.set_default_params(self.axes,self.figure)
X = self.data.grid_data.GetArrayData()
rows,cols = X.shape
self.axes.contourf(X)
self.canvas.draw()
def OnImage(self,event):
setplot.set_default_params(self.axes,self.figure)
X = self.data.grid_data.GetArrayData()
rows,cols = X.shape
self.axes.imshow(X, cmap=cm.gray)
self.canvas.draw()
