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import os
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import sys
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import datetime
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import numpy
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import matplotlib
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if 'BACKEND' in os.environ:
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matplotlib.use(os.environ['BACKEND'])
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elif 'linux' in sys.platform:
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matplotlib.use("TkAgg")
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elif 'darwin' in sys.platform:
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matplotlib.use('TkAgg')
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else:
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from schainpy.utils import log
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log.warning('Using default Backend="Agg"', 'INFO')
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matplotlib.use('Agg')
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# Qt4Agg', 'GTK', 'GTKAgg', 'ps', 'agg', 'cairo', 'MacOSX', 'GTKCairo', 'WXAgg', 'template', 'TkAgg', 'GTK3Cairo', 'GTK3Agg', 'svg', 'WebAgg', 'CocoaAgg', 'emf', 'gdk', 'WX'
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import matplotlib.pyplot
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from mpl_toolkits.axes_grid1 import make_axes_locatable
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from matplotlib.ticker import FuncFormatter, LinearLocator
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###########################################
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# Actualizacion de las funciones del driver
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###########################################
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# create jro colormap
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jet_values = matplotlib.pyplot.get_cmap("jet", 100)(numpy.arange(100))[10:90]
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blu_values = matplotlib.pyplot.get_cmap(
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"seismic_r", 20)(numpy.arange(20))[10:15]
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ncmap = matplotlib.colors.LinearSegmentedColormap.from_list(
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"jro", numpy.vstack((blu_values, jet_values)))
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matplotlib.pyplot.register_cmap(cmap=ncmap)
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def createFigure(id, wintitle, width, height, facecolor="w", show=True, dpi=80):
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matplotlib.pyplot.ioff()
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fig = matplotlib.pyplot.figure(num=id, facecolor=facecolor, figsize=(
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1.0 * width / dpi, 1.0 * height / dpi))
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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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if show:
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matplotlib.pyplot.show()
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return fig
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def closeFigure(show=False, fig=None):
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# matplotlib.pyplot.ioff()
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# matplotlib.pyplot.pause(0)
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if show:
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matplotlib.pyplot.show()
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if fig != None:
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matplotlib.pyplot.close(fig)
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# matplotlib.pyplot.pause(0)
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# matplotlib.pyplot.ion()
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return
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matplotlib.pyplot.close("all")
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# matplotlib.pyplot.pause(0)
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# matplotlib.pyplot.ion()
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return
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def saveFigure(fig, filename):
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# matplotlib.pyplot.ioff()
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fig.savefig(filename, dpi=matplotlib.pyplot.gcf().dpi)
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# matplotlib.pyplot.ion()
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def clearFigure(fig):
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fig.clf()
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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, polar=False):
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matplotlib.pyplot.ioff()
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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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polar=polar)
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matplotlib.pyplot.ion()
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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=8)
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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, color='blue'):
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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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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) * \
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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, color=color)
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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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matplotlib.pyplot.ion()
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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.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 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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matplotlib.pyplot.ioff()
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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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z = numpy.ma.masked_invalid(z)
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cmap = matplotlib.pyplot.get_cmap(colormap)
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cmap.set_bad('black', 1.)
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imesh = ax.pcolormesh(x, y, z.T, vmin=zmin, vmax=zmax, cmap=cmap)
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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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def func(x, pos): return ('%s') % (
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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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matplotlib.pyplot.ion()
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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.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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ax.pcolormesh(x, y, z.T, vmin=zmin, vmax=zmax,
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cmap=matplotlib.pyplot.get_cmap(colormap))
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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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z = numpy.ma.masked_invalid(z)
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cmap = matplotlib.pyplot.get_cmap(colormap)
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cmap.set_bad('black', 1.)
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ax.pcolormesh(x, y, z.T, vmin=zmin, vmax=zmax, cmap=cmap)
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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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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) * \
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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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matplotlib.pyplot.ion()
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return iplot
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def pmultiline(iplot, x, y, xlabel='', ylabel='', title=''):
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ax = iplot.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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"""
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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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# lines = ax.plot(x, y.T, marker=marker,markersize=markersize,linestyle=linestyle)
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lines = ax.plot(x, y.T)
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# leg = ax.legend(lines, legendlabels, loc=2, 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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leg = ax.legend(lines, legendlabels,
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loc='upper right', bbox_to_anchor=(1.16, 1), borderaxespad=0)
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for label in leg.get_texts():
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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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def func(x, pos): return ('%s') % (
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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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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.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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def createPolar(ax, x, y,
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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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matplotlib.pyplot.ioff()
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ax.plot(x, y, 'bo', markersize=5)
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# ax.set_rmax(90)
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ax.set_ylim(0, 90)
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ax.set_yticks(numpy.arange(0, 90, 20))
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# ax.text(0, -110, ylabel, rotation='vertical', va ='center', ha = 'center' ,size='11')
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# ax.text(0, 50, ylabel, rotation='vertical', va ='center', ha = 'left' ,size='11')
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# ax.text(100, 100, 'example', ha='left', va='center', rotation='vertical')
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ax.yaxis.labelpad = 40
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printLabels(ax, xlabel, ylabel, title)
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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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matplotlib.pyplot.ion()
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return iplot
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def polar(iplot, x, y, xlabel='', ylabel='', title=''):
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ax = iplot.axes
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# ax.text(0, -110, ylabel, rotation='vertical', va ='center', ha = 'center',size='11')
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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 draw(fig):
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if type(fig) == 'int':
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raise ValueError("Error drawing: Fig parameter should be a matplotlib figure object figure")
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fig.canvas.draw()
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def pause(interval=0.000001):
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matplotlib.pyplot.pause(interval)
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