##// END OF EJS Templates
Adicion del factor de normalizacion en la clase Spectra....
Adicion del factor de normalizacion en la clase Spectra. La senales se normalizan en los graficos de jroplot.py

File last commit:

r245:0a5b40329524
r245:0a5b40329524
Show More
mpldriver.py
369 lines | 10.4 KiB | text/x-python | PythonLexer
import numpy
import datetime
import sys
import matplotlib
if sys.platform == 'linux':
matplotlib.use("GTKAgg")
if sys.platform == 'darwin':
matplotlib.use("TKAgg")
import matplotlib.pyplot
import matplotlib.dates
#import scitools.numpyutils
from mpl_toolkits.axes_grid1 import make_axes_locatable
from matplotlib.dates import DayLocator, HourLocator, MinuteLocator, SecondLocator, DateFormatter
from matplotlib.ticker import FuncFormatter
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)
imesh = 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, bbox_to_anchor=(1.05, 1), loc='upper right', numpoints=1, handlelength=1.5, \
handletextpad=0.5, borderpad=0.2, labelspacing=0.2, borderaxespad=0.)
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 pmultilineinyaxis(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()