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Optimizacion de graficos con buffer, el buffer se crea en la clase Axes del modulo figure.py, se agrega el metodo pcolorbuffer....
Optimizacion de graficos con buffer, el buffer se crea en la clase Axes del modulo figure.py, se agrega el metodo pcolorbuffer. En mpldriver.py se agrega el metodo addpcolorbuffer donde se limpia el buffer de matplotlib que genera pcolormesh Estas modificaciones se aplican a los graficos RTI y Mapa de Coherencias.

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mpldriver.py
378 lines | 10.6 KiB | text/x-python | PythonLexer
import numpy
import datetime
import sys
import matplotlib
if 'linux' in sys.platform:
matplotlib.use("TKAgg")
if 'darwin' in sys.platform:
matplotlib.use("TKAgg")
import matplotlib.pyplot
from mpl_toolkits.axes_grid1 import make_axes_locatable
from matplotlib.ticker import *
###########################################
#Actualizacion de las funciones del driver
###########################################
def createFigure(idfigure, wintitle, width, height, facecolor="w"):
matplotlib.pyplot.ioff()
fig = matplotlib.pyplot.figure(num=idfigure, facecolor=facecolor)
fig.canvas.manager.set_window_title(wintitle)
fig.canvas.manager.resize(width, height)
matplotlib.pyplot.ion()
matplotlib.pyplot.show()
return fig
def closeFigure():
matplotlib.pyplot.ioff()
matplotlib.pyplot.show()
return
def saveFigure(fig, filename):
matplotlib.pyplot.ioff()
fig.savefig(filename)
matplotlib.pyplot.ion()
def setWinTitle(fig, title):
fig.canvas.manager.set_window_title(title)
def setTitle(fig, title):
fig.suptitle(title)
def createAxes(fig, nrow, ncol, xpos, ypos, colspan, rowspan):
matplotlib.pyplot.ioff()
matplotlib.pyplot.figure(fig.number)
axes = matplotlib.pyplot.subplot2grid((nrow, ncol),
(xpos, ypos),
colspan=colspan,
rowspan=rowspan)
matplotlib.pyplot.ion()
return axes
def setAxesText(ax, text):
ax.annotate(text,
xy = (.1, .99),
xycoords = 'figure fraction',
horizontalalignment = 'left',
verticalalignment = 'top',
fontsize = 10)
def printLabels(ax, xlabel, ylabel, title):
ax.set_xlabel(xlabel, size=11)
ax.set_ylabel(ylabel, size=11)
ax.set_title(title, size=12)
def createPline(ax, x, y, xmin, xmax, ymin, ymax, xlabel='', ylabel='', title='',
ticksize=9, xtick_visible=True, ytick_visible=True,
nxticks=4, nyticks=10,
grid=None):
"""
Input:
grid : None, 'both', 'x', 'y'
"""
matplotlib.pyplot.ioff()
ax.set_xlim([xmin,xmax])
ax.set_ylim([ymin,ymax])
printLabels(ax, xlabel, ylabel, title)
######################################################
if (xmax-xmin)<=1:
xtickspos = numpy.linspace(xmin,xmax,nxticks)
xtickspos = numpy.array([float("%.1f"%i) for i in xtickspos])
ax.set_xticks(xtickspos)
else:
xtickspos = numpy.arange(nxticks)*int((xmax-xmin)/(nxticks)) + int(xmin)
ax.set_xticks(xtickspos)
for tick in ax.get_xticklabels():
tick.set_visible(xtick_visible)
for tick in ax.xaxis.get_major_ticks():
tick.label.set_fontsize(ticksize)
######################################################
for tick in ax.get_yticklabels():
tick.set_visible(ytick_visible)
for tick in ax.yaxis.get_major_ticks():
tick.label.set_fontsize(ticksize)
ax.plot(x, y)
iplot = ax.lines[-1]
######################################################
if '0.' in matplotlib.__version__[0:2]:
print "The matplotlib version has to be updated to 1.1 or newer"
return iplot
if '1.0.' in matplotlib.__version__[0:4]:
print "The matplotlib version has to be updated to 1.1 or newer"
return iplot
if grid != None:
ax.grid(b=True, which='major', axis=grid)
matplotlib.pyplot.tight_layout()
matplotlib.pyplot.ion()
return iplot
def set_linedata(ax, x, y, idline):
ax.lines[idline].set_data(x,y)
def pline(iplot, x, y, xlabel='', ylabel='', title=''):
ax = iplot.get_axes()
printLabels(ax, xlabel, ylabel, title)
set_linedata(ax, x, y, idline=0)
def addpline(ax, x, y, color, linestyle, lw):
ax.plot(x,y,color=color,linestyle=linestyle,lw=lw)
def createPcolor(ax, x, y, z, xmin, xmax, ymin, ymax, zmin, zmax,
xlabel='', ylabel='', title='', ticksize = 9,
colormap='jet',cblabel='', cbsize="5%",
XAxisAsTime=False):
matplotlib.pyplot.ioff()
divider = make_axes_locatable(ax)
ax_cb = divider.new_horizontal(size=cbsize, pad=0.05)
fig = ax.get_figure()
fig.add_axes(ax_cb)
ax.set_xlim([xmin,xmax])
ax.set_ylim([ymin,ymax])
printLabels(ax, xlabel, ylabel, title)
imesh = ax.pcolormesh(x,y,z.T, vmin=zmin, vmax=zmax, cmap=matplotlib.pyplot.get_cmap(colormap))
cb = matplotlib.pyplot.colorbar(imesh, cax=ax_cb)
cb.set_label(cblabel)
# for tl in ax_cb.get_yticklabels():
# tl.set_visible(True)
for tick in ax.yaxis.get_major_ticks():
tick.label.set_fontsize(ticksize)
for tick in ax.xaxis.get_major_ticks():
tick.label.set_fontsize(ticksize)
for tick in cb.ax.get_yticklabels():
tick.set_fontsize(ticksize)
ax_cb.yaxis.tick_right()
if '0.' in matplotlib.__version__[0:2]:
print "The matplotlib version has to be updated to 1.1 or newer"
return imesh
if '1.0.' in matplotlib.__version__[0:4]:
print "The matplotlib version has to be updated to 1.1 or newer"
return imesh
matplotlib.pyplot.tight_layout()
if XAxisAsTime:
func = lambda x, pos: ('%s') %(datetime.datetime.utcfromtimestamp(x).strftime("%H:%M:%S"))
ax.xaxis.set_major_formatter(FuncFormatter(func))
ax.xaxis.set_major_locator(LinearLocator(7))
matplotlib.pyplot.ion()
return imesh
def pcolor(imesh, z, xlabel='', ylabel='', title=''):
z = z.T
ax = imesh.get_axes()
printLabels(ax, xlabel, ylabel, title)
imesh.set_array(z.ravel())
def addpcolor(ax, x, y, z, zmin, zmax, xlabel='', ylabel='', title='', colormap='jet'):
printLabels(ax, xlabel, ylabel, title)
ax.pcolormesh(x,y,z.T,vmin=zmin,vmax=zmax, cmap=matplotlib.pyplot.get_cmap(colormap))
def addpcolorbuffer(ax, x, y, z, zmin, zmax, xlabel='', ylabel='', title='', colormap='jet'):
printLabels(ax, xlabel, ylabel, title)
ax.collections.remove(ax.collections[0])
ax.pcolormesh(x,y,z.T,vmin=zmin,vmax=zmax, cmap=matplotlib.pyplot.get_cmap(colormap))
def createPmultiline(ax, x, y, xmin, xmax, ymin, ymax, xlabel='', ylabel='', title='', legendlabels=None,
ticksize=9, xtick_visible=True, ytick_visible=True,
nxticks=4, nyticks=10,
grid=None):
"""
Input:
grid : None, 'both', 'x', 'y'
"""
matplotlib.pyplot.ioff()
lines = ax.plot(x.T, y)
leg = ax.legend(lines, legendlabels, loc='upper right')
leg.get_frame().set_alpha(0.5)
ax.set_xlim([xmin,xmax])
ax.set_ylim([ymin,ymax])
printLabels(ax, xlabel, ylabel, title)
xtickspos = numpy.arange(nxticks)*int((xmax-xmin)/(nxticks)) + int(xmin)
ax.set_xticks(xtickspos)
for tick in ax.get_xticklabels():
tick.set_visible(xtick_visible)
for tick in ax.xaxis.get_major_ticks():
tick.label.set_fontsize(ticksize)
for tick in ax.get_yticklabels():
tick.set_visible(ytick_visible)
for tick in ax.yaxis.get_major_ticks():
tick.label.set_fontsize(ticksize)
iplot = ax.lines[-1]
if '0.' in matplotlib.__version__[0:2]:
print "The matplotlib version has to be updated to 1.1 or newer"
return iplot
if '1.0.' in matplotlib.__version__[0:4]:
print "The matplotlib version has to be updated to 1.1 or newer"
return iplot
if grid != None:
ax.grid(b=True, which='major', axis=grid)
matplotlib.pyplot.tight_layout()
matplotlib.pyplot.ion()
return iplot
def pmultiline(iplot, x, y, xlabel='', ylabel='', title=''):
ax = iplot.get_axes()
printLabels(ax, xlabel, ylabel, title)
for i in range(len(ax.lines)):
line = ax.lines[i]
line.set_data(x[i,:],y)
def createPmultilineYAxis(ax, x, y, xmin, xmax, ymin, ymax, xlabel='', ylabel='', title='', legendlabels=None,
ticksize=9, xtick_visible=True, ytick_visible=True,
nxticks=4, nyticks=10, marker='^', markersize=8, linestyle="solid",
grid=None, XAxisAsTime=False):
"""
Input:
grid : None, 'both', 'x', 'y'
"""
matplotlib.pyplot.ioff()
lines = ax.plot(x, y.T, marker=marker,markersize=markersize,linestyle=linestyle)
leg = ax.legend(lines, legendlabels, loc='upper left', bbox_to_anchor=(1.01, 1.00), numpoints=1, handlelength=1.5, \
handletextpad=0.5, borderpad=0.5, labelspacing=0.5, borderaxespad=0.)
for label in leg.get_texts(): label.set_fontsize(9)
ax.set_xlim([xmin,xmax])
ax.set_ylim([ymin,ymax])
printLabels(ax, xlabel, ylabel, title)
# xtickspos = numpy.arange(nxticks)*int((xmax-xmin)/(nxticks)) + int(xmin)
# ax.set_xticks(xtickspos)
for tick in ax.get_xticklabels():
tick.set_visible(xtick_visible)
for tick in ax.xaxis.get_major_ticks():
tick.label.set_fontsize(ticksize)
for tick in ax.get_yticklabels():
tick.set_visible(ytick_visible)
for tick in ax.yaxis.get_major_ticks():
tick.label.set_fontsize(ticksize)
iplot = ax.lines[-1]
if '0.' in matplotlib.__version__[0:2]:
print "The matplotlib version has to be updated to 1.1 or newer"
return iplot
if '1.0.' in matplotlib.__version__[0:4]:
print "The matplotlib version has to be updated to 1.1 or newer"
return iplot
if grid != None:
ax.grid(b=True, which='major', axis=grid)
matplotlib.pyplot.tight_layout()
if XAxisAsTime:
func = lambda x, pos: ('%s') %(datetime.datetime.utcfromtimestamp(x).strftime("%H:%M:%S"))
ax.xaxis.set_major_formatter(FuncFormatter(func))
ax.xaxis.set_major_locator(LinearLocator(7))
matplotlib.pyplot.ion()
return iplot
def pmultilineyaxis(iplot, x, y, xlabel='', ylabel='', title=''):
ax = iplot.get_axes()
printLabels(ax, xlabel, ylabel, title)
for i in range(len(ax.lines)):
line = ax.lines[i]
line.set_data(x,y[i,:])
def draw(fig):
if type(fig) == 'int':
raise ValueError, "This parameter should be of tpye matplotlib figure"
fig.canvas.draw()