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import numpy
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import datetime
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import matplotlib
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matplotlib.use("TKAgg")
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import matplotlib.pyplot
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import matplotlib.dates
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#import scitools.numpyutils
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from mpl_toolkits.axes_grid1 import make_axes_locatable
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from matplotlib.dates import DayLocator, HourLocator, MinuteLocator, SecondLocator, DateFormatter
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from matplotlib.ticker import FuncFormatter
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from matplotlib.ticker import *
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###########################################
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#Actualizacion de las funciones del driver
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###########################################
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def createFigure(idfigure, wintitle, width, height, facecolor="w"):
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matplotlib.pyplot.ioff()
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fig = matplotlib.pyplot.figure(num=idfigure, facecolor=facecolor)
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fig.canvas.manager.set_window_title(wintitle)
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fig.canvas.manager.resize(width, height)
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matplotlib.pyplot.ion()
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return fig
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def closeFigure():
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matplotlib.pyplot.ioff()
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matplotlib.pyplot.show()
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return
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def saveFigure(fig, filename):
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fig.savefig(filename)
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def setWinTitle(fig, title):
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fig.canvas.manager.set_window_title(title)
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def setTitle(fig, title):
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fig.suptitle(title)
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def createAxes(fig, nrow, ncol, xpos, ypos, colspan, rowspan):
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matplotlib.pyplot.figure(fig.number)
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axes = matplotlib.pyplot.subplot2grid((nrow, ncol),
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(xpos, ypos),
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colspan=colspan,
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rowspan=rowspan)
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return axes
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def setAxesText(ax, text):
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ax.annotate(text,
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xy = (.1, .99),
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xycoords = 'figure fraction',
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horizontalalignment = 'left',
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verticalalignment = 'top',
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fontsize = 10)
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def printLabels(ax, xlabel, ylabel, title):
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ax.set_xlabel(xlabel, size=11)
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ax.set_ylabel(ylabel, size=11)
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ax.set_title(title, size=12)
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def createPline(ax, x, y, xmin, xmax, ymin, ymax, xlabel='', ylabel='', title='',
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ticksize=9, xtick_visible=True, ytick_visible=True,
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nxticks=4, nyticks=10,
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grid=None):
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"""
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Input:
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grid : None, 'both', 'x', 'y'
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"""
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ax.plot(x, y)
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ax.set_xlim([xmin,xmax])
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ax.set_ylim([ymin,ymax])
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printLabels(ax, xlabel, ylabel, title)
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######################################################
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if (xmax-xmin)<=1:
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xtickspos = numpy.linspace(xmin,xmax,nxticks)
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xtickspos = numpy.array([float("%.1f"%i) for i in xtickspos])
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ax.set_xticks(xtickspos)
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else:
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xtickspos = numpy.arange(nxticks)*int((xmax-xmin)/(nxticks)) + int(xmin)
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ax.set_xticks(xtickspos)
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for tick in ax.get_xticklabels():
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tick.set_visible(xtick_visible)
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for tick in ax.xaxis.get_major_ticks():
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tick.label.set_fontsize(ticksize)
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######################################################
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for tick in ax.get_yticklabels():
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tick.set_visible(ytick_visible)
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for tick in ax.yaxis.get_major_ticks():
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tick.label.set_fontsize(ticksize)
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iplot = ax.lines[-1]
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######################################################
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if '0.' in matplotlib.__version__[0:2]:
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print "The matplotlib version has to be updated to 1.1 or newer"
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return iplot
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if '1.0.' in matplotlib.__version__[0:4]:
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print "The matplotlib version has to be updated to 1.1 or newer"
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return iplot
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if grid != None:
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ax.grid(b=True, which='major', axis=grid)
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matplotlib.pyplot.tight_layout()
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return iplot
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def pline(iplot, x, y, xlabel='', ylabel='', title=''):
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ax = iplot.get_axes()
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printLabels(ax, xlabel, ylabel, title)
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iplot.set_data(x, y)
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def createPmultiline(ax, x, y, xmin, xmax, ymin, ymax, xlabel='', ylabel='', title='', legendlabels=None,
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ticksize=9, xtick_visible=True, ytick_visible=True,
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nxticks=4, nyticks=10,
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grid=None):
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"""
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Input:
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grid : None, 'both', 'x', 'y'
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"""
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lines = ax.plot(x.T, y)
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leg = ax.legend(lines, legendlabels, loc='upper left')
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leg.get_frame().set_alpha(0.5)
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ax.set_xlim([xmin,xmax])
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ax.set_ylim([ymin,ymax])
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printLabels(ax, xlabel, ylabel, title)
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xtickspos = numpy.arange(nxticks)*int((xmax-xmin)/(nxticks)) + int(xmin)
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ax.set_xticks(xtickspos)
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for tick in ax.get_xticklabels():
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tick.set_visible(xtick_visible)
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for tick in ax.xaxis.get_major_ticks():
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tick.label.set_fontsize(ticksize)
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for tick in ax.get_yticklabels():
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tick.set_visible(ytick_visible)
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for tick in ax.yaxis.get_major_ticks():
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tick.label.set_fontsize(ticksize)
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iplot = ax.lines[-1]
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if '0.' in matplotlib.__version__[0:2]:
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print "The matplotlib version has to be updated to 1.1 or newer"
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return iplot
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if '1.0.' in matplotlib.__version__[0:4]:
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print "The matplotlib version has to be updated to 1.1 or newer"
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return iplot
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if grid != None:
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ax.grid(b=True, which='major', axis=grid)
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matplotlib.pyplot.tight_layout()
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return iplot
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def pmultiline(iplot, x, y, xlabel='', ylabel='', title=''):
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ax = iplot.get_axes()
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printLabels(ax, xlabel, ylabel, title)
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for i in range(len(ax.lines)):
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line = ax.lines[i]
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line.set_data(x[i,:],y)
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def createPcolor(ax, x, y, z, xmin, xmax, ymin, ymax, zmin, zmax,
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xlabel='', ylabel='', title='', ticksize = 9,
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colormap='jet',cblabel='', cbsize="5%",
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XAxisAsTime=False):
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divider = make_axes_locatable(ax)
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ax_cb = divider.new_horizontal(size=cbsize, pad=0.05)
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fig = ax.get_figure()
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fig.add_axes(ax_cb)
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ax.set_xlim([xmin,xmax])
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ax.set_ylim([ymin,ymax])
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printLabels(ax, xlabel, ylabel, title)
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imesh = ax.pcolormesh(x,y,z.T, vmin=zmin, vmax=zmax, cmap=matplotlib.pyplot.get_cmap(colormap))
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cb = matplotlib.pyplot.colorbar(imesh, cax=ax_cb)
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cb.set_label(cblabel)
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# for tl in ax_cb.get_yticklabels():
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# tl.set_visible(True)
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for tick in ax.yaxis.get_major_ticks():
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tick.label.set_fontsize(ticksize)
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for tick in ax.xaxis.get_major_ticks():
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tick.label.set_fontsize(ticksize)
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for tick in cb.ax.get_yticklabels():
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tick.set_fontsize(ticksize)
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ax_cb.yaxis.tick_right()
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if '0.' in matplotlib.__version__[0:2]:
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print "The matplotlib version has to be updated to 1.1 or newer"
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return imesh
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if '1.0.' in matplotlib.__version__[0:4]:
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print "The matplotlib version has to be updated to 1.1 or newer"
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return imesh
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matplotlib.pyplot.tight_layout()
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if XAxisAsTime:
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func = lambda x, pos: ('%s') %(datetime.datetime.utcfromtimestamp(x).strftime("%H:%M:%S"))
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ax.xaxis.set_major_formatter(FuncFormatter(func))
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ax.xaxis.set_major_locator(LinearLocator(7))
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return imesh
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def pcolor(imesh, z, xlabel='', ylabel='', title=''):
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z = z.T
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ax = imesh.get_axes()
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printLabels(ax, xlabel, ylabel, title)
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imesh.set_array(z.ravel())
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def addpcolor(ax, x, y, z, zmin, zmax, xlabel='', ylabel='', title='', colormap='jet'):
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printLabels(ax, xlabel, ylabel, title)
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imesh = ax.pcolormesh(x,y,z.T,vmin=zmin,vmax=zmax, cmap=matplotlib.pyplot.get_cmap(colormap))
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def draw(fig):
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if type(fig) == 'int':
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raise ValueError, "This parameter should be of tpye matplotlib figure"
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fig.canvas.draw()
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