ppgplot.pgsci(5)
ppgplot.pgeras()
for p in range(xyPositionPlot['numXYPanels']):
ppgplot.pgenv(startFrame, startFrame + frameRange, -yLimit, yLimit, 0, 0)
ppgplot.pgbox('A', 1.0, 10, 'BCG', 0.0, 0)
ppgplot.pglab("", "%d"%p, "")
ppgplot.pgsch(currentSize)
for p, a in enumerate(referenceApertures.getSources()):
xValues = [log['frameNumber'] for log in a.positionLog]
yValues = [log['position'][0] - a.position[0] for log in a.positionLog]
yErrors = [log['positionError'][0] for log in a.positionLog]
ppgplot.pgsci(2)
ppgplot.pgpanl(1, p + 1)
ppgplot.pgpt(xValues, yValues, 1)
ppgplot.pgerry(xValues, yValues + yErrors, yValues + yErrors, 0)
yValues = [log['position'][1] - a.position[1] for log in a.positionLog]
ppgplot.pgsci(3)
ppgplot.pgpanl(1, p + 1)
ppgplot.pgpt(xValues, yValues, 1)
shortXArray = [trueFrameNumber]
shortYArray = [xPosition]
ppgplot.pgsci(2)
ppgplot.pgpanl(1, panel + 1)
ppgplot.pgpt(shortXArray, shortYArray, 1)
ppgplot.pgsci(3)
shortYArray = [yPosition]
ppgplot.pgpt(shortXArray, shortYArray, 1)
def plotbinned(y, x=None, title=None, labx='Bins', laby='Counts', \
rangex=None, rangey=None, labx2='', laby2='', \
rangex2=None, rangey2=None, \
line=ppgplot_linestyle_, width=ppgplot_linewidth_, \
color=ppgplot_color_, font=ppgplot_font_, logx=0, logy=0, \
logx2=0, logy2=0, erry=None, id=0, noscale=0, \
aspect=0.7727, fontsize=ppgplot_font_size_, \
ticks='in', panels=[1,1], device=ppgplot_device_, setup=1):
"""
plotbinned(y, ...):
Plot x-y data that is binned. This routine differs from
plotxy() in that instead of each point being connected
by diagonal lines, each point is actually a flat-line
with the width of a bin.
'y' is the numerical sequence of binned data to plot.
The optional entries are:
x: x-centers of each bin. (default = auto)
title: graph title (default = None)
labx: label for the x-axis (default = 'Bins')
laby: label for the y-axis (default = 'Counts')
rangex: ranges for the x-axis (default = automatic)
rangey: ranges for the y-axis (default = automatic)
labx2: label for the 2nd x-axis (default = None)
laby2: label for the 2nd y-axis (default = None)
rangex2: ranges for 2nd x-axis (default = None)
rangey2: ranges for 2nd y-axis (default = None)
logx: make the 1st x-axis log (default = 0 (no))
logy: make the 1st y-axis log (default = 0 (no))
logx2: make the 2nd x-axis log (default = 0 (no))
logy2: make the 2nd y-axis log (default = 0 (no))
erry: symmetric y errors (default = None)
line: line style (default = 1 (solid))
width: line width (default = 1 (thin))
color: line and/or symbol color (default = 'white')
font: PGPLOT font to use (default = 1 (normal))
fontsize: PGPLOT font size to use (default = 1.0 (normal))
id: show ID line on plot (default = 0 (no))
aspect: aspect ratio (default = 0.7727 (rect))
ticks: Ticks point in or out (default = 'in')
panels: Number of subpanels [r,c] (default = [1,1])
device: PGPLOT device to use (default = '/XWIN')
setup: Auto-setup the plot (default = 1)
Note: Many default values are defined in global variables
with names like ppgplot_font_ or ppgplot_device_.
"""
# Make sure our entry sequences are Num arrays
Num.asarray(y)
Num.asarray(x)
if x is None: x = Num.arange(len(y)) + 0.5
dx = x[1] - x[0]
# Correct for the fact that 'x' are the bin centers
x = x - 0.5 * dx
# Make the repeat array
r = Num.zeros(len(x), dtype=Num.int32)+2
ny = Num.repeat(y, r)
r[0] = 1
nx = Num.repeat(x, r)
# Add the right side of the right-most bin
nx = Num.concatenate((nx, Num.zeros(1)+nx[-1]+dx))
plotxy(ny, nx, title, labx=labx, laby=laby, line=line, \
labx2=labx2, laby2=laby2, \
rangex2=rangex2, rangey2=rangey2, logx=logx, logy=logy, \
logx2=logx2, logy2=logy2, noscale=noscale, \
width=width, color=color, font=font, fontsize=fontsize, \
id=id, aspect=aspect, rangex=rangex, rangey=rangey, \
ticks=ticks, panels=panels, device=device, setup=setup)
if erry is not None:
ppgplot.pgerry(Num.arange(len(y))+0.5, y+erry, y-erry, 1.0)
def plotxy(y, x=None, title=None, rangex=None, rangey=None, \
labx='', laby='', rangex2=None, rangey2=None, \
labx2='', laby2='', symbol=ppgplot_symbol_, \
line=ppgplot_linestyle_, width=ppgplot_linewidth_, \
color=ppgplot_color_, font=ppgplot_font_, logx=0, logy=0, \
logx2=0, logy2=0, errx=None, erry=None, id=0, noscale=0, \
aspect=0.7727, fontsize=ppgplot_font_size_, ticks='in', \
panels=[1,1], device=ppgplot_device_, setup=1):
"""
plotxy(y, ...)
An interface to make various XY style plots using PGPLOT.
'y' is the 1D sequence object to plot.
The optional entries are:
x: x values (default = 0, 1, ...)
title: graph title (default = None)
rangex: ranges for the x-axis (default = automatic)
rangey: ranges for the y-axis (default = automatic)
labx: label for the x-axis (default = None)
laby: label for the y-axis (default = None)
rangex2: ranges for 2nd x-axis (default = None)
rangey2: ranges for 2nd y-axis (default = None)
labx2: label for the 2nd x-axis (default = None)
laby2: label for the 2nd y-axis (default = None)
logx: make the 1st x-axis log (default = 0 (no))
logy: make the 1st y-axis log (default = 0 (no))
logx2: make the 2nd x-axis log (default = 0 (no))
logy2: make the 2nd y-axis log (default = 0 (no))
errx: symmetric x errors (default = None)
erry: symmetric y errors (default = None)
symbol: symbol for points (default = None)
line: line style (default = 1 (solid))
width: line width (default = 1 (thin))
color: line and/or symbol color (default = 'white')
font: PGPLOT font to use (default = 1 (normal))
fontsize: PGPLOT font size to use (default = 1.0 (normal))
id: show ID line on plot (default = 0 (no))
noscale: turn off auto scaling (default = 0 (no))
aspect: aspect ratio (default = 0.7727 (rect))
ticks: Ticks point in or out (default = 'in')
panels: Number of subpanels [r,c] (default = [1,1])
device: PGPLOT device to use (default = '/XWIN')
setup: Auto-setup the plot (default = 1)
Note: Many default values are defined in global variables
with names like ppgplot_font_ or ppgplot_device_.
"""
# Make sure the input data is an array
y = Num.asarray(y)
# Announce the global variables we will be using
global ppgplot_dev_open_, ppgplot_dev_prep_, ppgplot_colors_
# Define the X axis limits if needed
if x is None: x = Num.arange(len(y), dtype='f')
else: x = Num.asarray(x)
# Determine the scaling to use for the first axis
if rangex is None: rangex = [x.min(), x.max()]
if rangey is None:
if noscale: rangey = [y.min(), y.max()]
else: rangey = scalerange(y)
# Prep the plotting device...
if (not ppgplot_dev_prep_ and setup):
prepplot(rangex, rangey, title, labx, laby, \
rangex2, rangey2, labx2, laby2, \
logx, logy, logx2, logy2, font, fontsize, \
id, aspect, ticks, panels, device=device)
# Choose the line color
if type(color) == types.StringType:
ppgplot.pgsci(ppgplot_colors_[color])
else:
ppgplot.pgsci(color)
# Plot symbols (and errors) if requested
if not symbol is None:
ppgplot.pgpt(x, y, symbol)
# Error bars
if errx is not None:
if not logx:
errx = Num.asarray(errx)
ppgplot.pgerrx(x + errx, x - errx, y, 1.0)
else:
errx = 10.0**Num.asarray(errx)
ppgplot.pgerrx(Num.log10(10.0**x + errx),
Num.log10(10.0**x - errx), y, 1.0)
if erry is not None:
if not logy:
erry = Num.asarray(erry)
ppgplot.pgerry(x, y + erry, y - erry, 1.0)
else:
erry = 10.0**Num.asarray(erry)
ppgplot.pgerry(x, Num.log10(10.0**y + erry),
Num.log10(10.0**y - erry), 1.0)
# Plot connecting lines if requested
if not line is None:
# Choose the line style
ppgplot.pgsls(line)
# Choose the line width
ppgplot.pgslw(width)
ppgplot.pgline(x, y)
def plotbinned(y, x=None, title=None, labx='Bins', laby='Counts', \
rangex=None, rangey=None, labx2='', laby2='', \
rangex2=None, rangey2=None, \
line=ppgplot_linestyle_, width=ppgplot_linewidth_, \
color=ppgplot_color_, font=ppgplot_font_, logx=0, logy=0, \
logx2=0, logy2=0, erry=None, id=0, noscale=0, \
aspect=0.7727, fontsize=ppgplot_font_size_, \
ticks='out', panels=[1,1], device=ppgplot_device_, setup=1):
"""
plotbinned(y, ...):
Plot x-y data that is binned. This routine differs from
plotxy() in that instead of each point being connected
by diagonal lines, each point is actually a flat-line
with the width of a bin.
'y' is the numerical sequence of binned data to plot.
The optional entries are:
x: x-centers of each bin. (default = auto)
title: graph title (default = None)
labx: label for the x-axis (default = 'Bins')
laby: label for the y-axis (default = 'Counts')
rangex: ranges for the x-axis (default = automatic)
rangey: ranges for the y-axis (default = automatic)
labx2: label for the 2nd x-axis (default = None)
laby2: label for the 2nd y-axis (default = None)
rangex2: ranges for 2nd x-axis (default = None)
rangey2: ranges for 2nd y-axis (default = None)
logx: make the 1st x-axis log (default = 0 (no))
logy: make the 1st y-axis log (default = 0 (no))
logx2: make the 2nd x-axis log (default = 0 (no))
logy2: make the 2nd y-axis log (default = 0 (no))
erry: symmetric y errors (default = None)
line: line style (default = 1 (solid))
width: line width (default = 1 (thin))
color: line and/or symbol color (default = 'white')
font: PGPLOT font to use (default = 1 (normal))
fontsize: PGPLOT font size to use (default = 1.0 (normal))
id: show ID line on plot (default = 0 (no))
aspect: aspect ratio (default = 0.7727 (rect))
ticks: Ticks point in or out (default = 'in')
panels: Number of subpanels [r,c] (default = [1,1])
device: PGPLOT device to use (default = '/XWIN')
setup: Auto-setup the plot (default = 1)
Note: Many default values are defined in global variables
with names like ppgplot_font_ or ppgplot_device_.
"""
# Make sure our entry sequences are Num arrays
Num.asarray(y)
Num.asarray(x)
if x is None: x = Num.arange(len(y)) + 0.5
dx = x[1] - x[0]
# Correct for the fact that 'x' are the bin centers
x = x - 0.5 * dx
# Make the repeat array
r = Num.zeros(len(x), dtype=Num.int32) + 2
ny = Num.repeat(y, r)
r[0] = 1
nx = Num.repeat(x, r)
# Add the right side of the right-most bin
nx = Num.concatenate((nx, Num.zeros(1) + nx[-1] + dx))
plotxy(ny, nx, title, labx=labx, laby=laby, line=line, \
labx2=labx2, laby2=laby2, \
rangex2=rangex2, rangey2=rangey2, logx=logx, logy=logy, \
logx2=logx2, logy2=logy2, noscale=noscale, \
width=width, color=color, font=font, fontsize=fontsize, \
id=id, aspect=aspect, rangex=rangex, rangey=rangey, \
ticks=ticks, panels=panels, device=device, setup=setup)
if erry is not None:
ppgplot.pgerry(Num.arange(len(y)) + 0.5, y + erry, y - erry, 1.0)
def plotxy(y, x=None, title=None, rangex=None, rangey=None, \
labx='', laby='', rangex2=None, rangey2=None, \
labx2='', laby2='', symbol=ppgplot_symbol_, \
line=ppgplot_linestyle_, width=ppgplot_linewidth_, \
color=ppgplot_color_, font=ppgplot_font_, logx=0, logy=0, \
logx2=0, logy2=0, errx=None, erry=None, id=0, noscale=0, \
aspect=0.7727, fontsize=ppgplot_font_size_, ticks='in', \
panels=[1,1], device=ppgplot_device_, setup=1):
"""
plotxy(y, ...)
An interface to make various XY style plots using PGPLOT.
'y' is the 1D sequence object to plot.
The optional entries are:
x: x values (default = 0, 1, ...)
title: graph title (default = None)
rangex: ranges for the x-axis (default = automatic)
rangey: ranges for the y-axis (default = automatic)
labx: label for the x-axis (default = None)
laby: label for the y-axis (default = None)
rangex2: ranges for 2nd x-axis (default = None)
rangey2: ranges for 2nd y-axis (default = None)
labx2: label for the 2nd x-axis (default = None)
laby2: label for the 2nd y-axis (default = None)
logx: make the 1st x-axis log (default = 0 (no))
logy: make the 1st y-axis log (default = 0 (no))
logx2: make the 2nd x-axis log (default = 0 (no))
logy2: make the 2nd y-axis log (default = 0 (no))
errx: symmetric x errors (default = None)
erry: symmetric y errors (default = None)
symbol: symbol for points (default = None)
line: line style (default = 1 (solid))
width: line width (default = 1 (thin))
color: line and/or symbol color (default = 'white')
font: PGPLOT font to use (default = 1 (normal))
fontsize: PGPLOT font size to use (default = 1.0 (normal))
id: show ID line on plot (default = 0 (no))
noscale: turn off auto scaling (default = 0 (no))
aspect: aspect ratio (default = 0.7727 (rect))
ticks: Ticks point in or out (default = 'in')
panels: Number of subpanels [r,c] (default = [1,1])
device: PGPLOT device to use (default = '/XWIN')
setup: Auto-setup the plot (default = 1)
Note: Many default values are defined in global variables
with names like ppgplot_font_ or ppgplot_device_.
"""
# Make sure the input data is an array
y = Num.asarray(y);
# Announce the global variables we will be using
global ppgplot_dev_open_, ppgplot_dev_prep_, ppgplot_colors_
# Define the X axis limits if needed
if x is None: x=Num.arange(len(y), dtype='f')
else: x = Num.asarray(x)
# Determine the scaling to use for the first axis
if rangex is None: rangex=[x.min(), x.max()]
if rangey is None:
if noscale: rangey=[y.min(), y.max()]
else: rangey=scalerange(y)
# Prep the plotting device...
if (not ppgplot_dev_prep_ and setup):
prepplot(rangex, rangey, title, labx, laby, \
rangex2, rangey2, labx2, laby2, \
logx, logy, logx2, logy2, font, fontsize, \
id, aspect, ticks, panels, device=device)
# Choose the line color
if type(color) == types.StringType:
ppgplot.pgsci(ppgplot_colors_[color])
else:
ppgplot.pgsci(color)
# Plot symbols (and errors) if requested
if not symbol is None:
ppgplot.pgpt(x, y, symbol)
# Error bars
if errx is not None:
if not logx:
errx = Num.asarray(errx)
ppgplot.pgerrx(x+errx, x-errx, y, 1.0)
else:
errx = 10.0**Num.asarray(errx)
ppgplot.pgerrx(Num.log10(10.0**x + errx),
Num.log10(10.0**x - errx), y, 1.0)
if erry is not None:
if not logy:
erry = Num.asarray(erry)
ppgplot.pgerry(x, y+erry, y-erry, 1.0)
else:
erry = 10.0**Num.asarray(erry)
ppgplot.pgerry(x, Num.log10(10.0**y + erry),
Num.log10(10.0**y - erry), 1.0)
# Plot connecting lines if requested
if not line is None:
# Choose the line style
ppgplot.pgsls(line)
# Choose the line width
ppgplot.pgslw(width)
ppgplot.pgline(x, y)