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import numpy
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import datetime
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import sys
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from matplotlib.figure import Figure
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from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
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from mpl_toolkits.axes_grid1 import make_axes_locatable
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from matplotlib.ticker import *
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import matplotlib.gridspec as gridspec
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import matplotlib.cm as cm
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import matplotlib.colorbar
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def createFigure(id, wintitle, width, height, facecolor="w"):
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figsize = (width,height)
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fig = Figure(figsize=figsize, facecolor=facecolor)
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return fig
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def createAxes(fig, nrow, ncol, x, y, ratio):
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width_ratios = []
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for i in range(ncol):
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if i%2==0:
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width_ratios.append(ratio)
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else:
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width_ratios.append(1)
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gs = gridspec.GridSpec(nrow, ncol, width_ratios=width_ratios)
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ax = fig.add_subplot(gs[x,y])
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return ax
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def saveFigure(fig, filename):
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fig.savefig(filename)
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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 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=cm.get_cmap(colormap))
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cb = fig.colorbar(imesh, cax=ax_cb)
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cb.set_label(cblabel)
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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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fig.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 addpcolorbuffer(ax, x, y, z, zmin, zmax, xlabel='', ylabel='', title='', colormap='jet'):
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printLabels(ax, xlabel, ylabel, title)
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ax.collections.remove(ax.collections[0])
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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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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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fig = ax.get_figure()
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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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# xtickspos = numpy.arange(nxticks)*float(xmax-xmin)/float(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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ax.plot(x, y)
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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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fig.tight_layout()
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return iplot
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def set_linedata(ax, x, y, idline):
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ax.lines[idline].set_data(x,y)
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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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set_linedata(ax, x, y, idline=0)
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def addpline(ax, x, y, color, linestyle, lw):
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ax.plot(x,y,color=color,linestyle=linestyle,lw=lw)
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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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# matplotlib.pyplot.ioff()
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fig = ax.get_figure()
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lines = ax.plot(x.T, y)
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leg = ax.legend(lines, legendlabels, loc='upper right')
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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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#
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# matplotlib.pyplot.ion()
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fig.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 createPmultilineYAxis(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, marker='.', markersize=10, linestyle="None",
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grid=None, XAxisAsTime=False):
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# matplotlib.pyplot.ioff()
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fig = ax.get_figure()
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lines = ax.plot(x, y.T, linestyle='None', marker='.', markersize=markersize)
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leg = ax.legend(lines, legendlabels, loc='upper left', bbox_to_anchor=(1.01, 1.00), numpoints=1, handlelength=1.5, \
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handletextpad=0.5, borderpad=0.5, labelspacing=0.5, borderaxespad=0.)
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for label in leg.get_texts(): label.set_fontsize(9)
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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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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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fig.tight_layout()
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# matplotlib.pyplot.ion()
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return iplot
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def pmultilineyaxis(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,y[i,:])
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