import math xx1 = [x/100. for x in range(-400, 401)] yy1a = [math.sqrt(1. + (x * x)) for x in xx1] yy1b = [-y for y in yy1a] from gram import Plot gp = Plot() g = gp.line(xx1, yy1a) g.colour = 'green' g = gp.line(xx1, yy1b) g.colour = 'green' g = gp.line(yy1a, xx1) g.colour = 'blue' g = gp.line(yy1b, xx1) g.color = 'blue' g = gp.line([-4, 4], [-4, 4]) g.color = 'red' g = gp.line([-4, 4], [4, -4]) g.colour = 'red' myTextSize = 'tiny' l1 = r'$y^2 + x^2 = 1$' g = gp.xYText(-2, 2.5, l1) g.anchor = 'west' g.textSize = myTextSize l1 = r'$x^2 - y^2 = 1$' g = gp.xYText(1.5, 1., l1) g.anchor = 'west'
from gram import Plot xx1 = [2.3, 3.5, 7.] yy1 = [3.3, 1.2, 5.6] xx2 = [-19.3, -14.3, -10.5] yy2 = [-2.6, -15.9, -9.3] gp = Plot() gp.baseName = 'plotArrayB' gp.line(xx1, yy1, smooth=True) gp.scatter(xx1, yy1) gp.yAxis.title = 'widgets' gp.xAxis.title = 'time (hours)' gp.minXToShow = 0.0 gp2 = Plot() gp2.line(xx2, yy2, smooth=False) gp2.scatter(xx2, yy2) gp2.yAxis.title = 'spin' gp2.yAxis.position = 'r' gp2.xAxis.title = 'impetus' gp2.gX = 4.3 gp2.gY = 0. gp.grams.append(gp2) gp.png() gp.svg() # smooth line plots do not work in svg
# Prepare the numbers, using p4.Numbers. Make the padMin and padMax
# the same for both data, so that the histo lists are the same size.
n1 = Numbers(nv1)
n1.binSize = 1
n1.histo(verbose=False, padMin=-3, padMax=15.)
n2 = Numbers(nv2)
n2.binSize = 1
n2.histo(verbose=False, padMin=-3, padMax=15.)
# prepare the binNames, and extract the histo values into separate
# lists.
binNames = []
vals1 = []
vals2 = []
for bNum in range(n1.nBins):
binNames.append('%i' % int(n1.bins[bNum][0]))
vals1.append(float(n1.bins[bNum][1]))
vals2.append(float(n2.bins[bNum][1]))
assert len(binNames) == len(vals1)
assert len(vals1) == len(vals2)
gp = Plot()
gp.baseName = 'twoBarsA'
gp.bars(binNames, [vals1, vals2])
gp.barValAxis.title = None
gp.barNameAxis.title = None
gp.png()
gp.svg()
from gram import Plot
read("data6.py")
read("data6b.py")
gp = Plot()
gp.baseName = 'regression'
gp.scatter(xx1, yy1, plotMark='square')
g = gp.line(xx2, yy2, smooth=True)
g.lineThickness = 'thick'
gp.maxYToShow=100
gp.minXToShow=-2
gp.xAxis.title = None
gp.yAxis.title = None
gp.png()
gp.svg()
import math
from gram import Plot
gp = Plot()
gp.baseName = 'xyText'
# make an invisible plot
xx = range(17)
yy = [math.sin(x) for x in xx]
c = gp.line(xx, yy)
c.colour = 'green'
# make some text at x,y
for i in range(len(xx)):
c = gp.xYText(xx[i],yy[i],'%i' % i)
c.shape = 'circle'
c.fill = 'red!10'
c.rotate = i * 15
gp.contentSizeX = 5.
# remove the axes and frame
gp.yAxis.title = None
gp.xAxis.title = None
gp.yAxis.styles.remove('ticks')
gp.xAxis.styles.remove('ticks')
gp.frameT = None
gp.frameB = None
gp.frameL = None
gp.frameR = None
gp.png()
# gp.svg() # yuk!
import math
from gram import Plot
gp = Plot()
gp.baseName = 'xyText'
# make an invisible plot
xx = list(range(17))
yy = [math.sin(x) for x in xx]
c = gp.line(xx, yy)
c.colour = 'green'
# make some text at x,y
for i in range(len(xx)):
c = gp.xYText(xx[i],yy[i],'%i' % i)
c.shape = 'circle'
c.fill = 'red!10'
c.rotate = i * 15
gp.contentSizeX = 5.
# remove the axes and frame
gp.yAxis.title = None
gp.xAxis.title = None
gp.yAxis.styles.remove('ticks')
gp.xAxis.styles.remove('ticks')
gp.frameT = None
gp.frameB = None
gp.frameL = None
gp.frameR = None
gp.png()
gp.svg() # squares, not circles.
from gram import Plot
read('data5.py')
gp = Plot()
gp.baseName = 'lineAndBar_good'
c = gp.bars(binNames, binVals)
gp.minBarValToShow = 0.0
gp.barNameAxis.title = None
gp.barValAxis.title = 'frequency'
c.barSets[0].fillColor = 'black!10'
gp.barNameAxis.barLabelsEvery = 2
#gp.barNameAxis.textRotate = 90
gp.line(xx1, yy1, smooth=True)
gp.xAxis.position = 't'
gp.yAxis.position = 'r'
gp.xAxis.title = None
gp.yAxis.title = 'density'
gp.maxXToShow = 4.0
gp.xAxis.tickLabelsEvery = 1
gp.maxBarValToShow = 5000
gp.maxYToShow = 1.0
gp.png()
gp.svg()
print(f"{k:3}", end=' ')
print(f"{bb[k]:12.6}", end=' ')
print(f"{numpy.var(likes[k]):12.4f}", end=' ')
print(f"{ess[k]:12.4f}", end=' ')
print(f"{vzr[k]:12.8f}", end=' ')
print(f"{zr[k]:12.6f}", end=' ')
print(f"{vzr[k] / (zr[k] * zr[k]):14.6f}", end=' ')
print()
vmlnl = sum(vzr / (zr * zr))
lnml = sum(numpy.log(zr) + maxima)
if args.gram:
from gram import Plot
gp = Plot()
xx = list(bb[:-1])
yy = list(meanLogLikes)
#gp.svgPxForCm = 100
gp.baseName = 'meanLogLikes'
#gp.scatter(xx, yy)
gp.line(xx, yy)
gp.xAxis.title = r'$\beta_k$'
gp.yAxis.title = 'mean log likelihood'
gp.minXToShow = 0
gp.maxXToShow = 1
gp.pdf()
#print(meanLogLikes)
#print(maxima)
#print(zr)
aa = list(range(1000))
for i in range(len(aa)):
aa[i] /= 10.
xx = []
yy = []
for i in range(len(aa)):
a = aa[i]
ret = func.polar2square([a, 1.])
xx.append(ret[0] + (i * 0.02))
yy.append(ret[1] + (i * 0.01) * (i * i * 0.001))
from gram import Plot
gp = Plot()
gp.baseName = 'circle'
g = gp.line(xx, yy)
g.color = 'red'
gp.xAxis.title = None
gp.yAxis.title = None
gp.maxYToShow = 10000
gp.font = 'helvetica'
gp.png()
gp.svg()
from gram import Plot xx1 = [2,4,7,3,9] yy1 = [4,5,1,7,4] gp = Plot() gp.baseName = 'linesInPlot' gp.scatter(xx1, yy1, plotMark='diamond') gp.minXToShow = 0.0 g = gp.lineFromSlopeAndIntercept(1, 2) g.lineThickness = 'thick' gp.verticalLine(x=3, y=4) c = gp.verticalLine(8) c.colour = 'gray' c.lineThickness = 'very thick' gp.xAxis.title = None gp.yAxis.title = None gp.font = 'helvetica' gp.png() gp.svg()
aa = range(1000)
for i in range(len(aa)):
aa[i] /= 10.
xx = []
yy = []
for i in range(len(aa)):
a = aa[i]
ret = func.polar2square([a, 1.])
xx.append(ret[0] + (i * 0.02))
yy.append(ret[1] + (i * 0.01) * (i * i * 0.001))
from gram import Plot
gp = Plot()
gp.baseName = 'circle'
gp.line(xx, yy)
gp.xAxis.title = None
gp.yAxis.title = None
gp.maxYToShow = 10000
gp.png()
gp.svg()
from gram import Plot gp = Plot() gp.baseName = 'styles' gp.line([-1,3,6],[-2,5,0], smooth=True) # At this point, the styleDict is empty. # The styleDict is filled by render(). Calling # render() is usually automatic and hidden, # called by eg png(), but it can be called by # itself, and it does not hurt to call it # more than once. gp.render() st = gp.styleDict['tickLabel'] st.textFamily = 'ttfamily' st.textSize = 'large' st = gp.styleDict['axisLabel'] st.textFamily = 'ttfamily' st.textShape = 'itshape' st.textSize = 'huge' gp.xAxis.title = 'x' gp.yAxis.title = 'f(x)' gp.png() gp.svg()
from gram import Plot
read("data2.py")
gp = Plot()
gp.font = 'helvetica'
gp.baseName = 'barA'
gp.bars(xx1, yy1)
gp.png()
gp.svg()
from gram import Plot
read("data1.py")
gp = Plot()
gp.baseName = 'noFrame'
gp.line(xx1, yy1)
gp.yAxis.title = None
gp.xAxis.title = None
gp.yAxis.styles.remove('ticks')
gp.xAxis.styles.remove('ticks')
gp.frameT = None
gp.frameB = None
gp.frameL = None
gp.frameR = None
gp.font = 'helvetica'
gp.png()
gp.svg()
from gram import Plot
xx1 = [2,4,7,3,9]
yy1 = [4,5,1,7,4]
gp = Plot()
gp.contentSizeX = 2
gp.contentSizeY = 1.5
gp.baseName = 'textInPlot'
gp.scatter(xx1, yy1, plotMark='asterisk')
c = gp.xYText(7, 1.2, r'$\Downarrow$')
c.anchor = 'south'
c = gp.xYText(3.3, 7,
r'$\leftarrow$\ Ignore this point')
c.textSize = 'tiny'
c.anchor = 'west'
gp.xAxis.title = None
gp.yAxis.title = None
gp.png()
# gp.svg() # looks bad, the latex text is not rendered
from gram import Plot xx1 = [2,4,7,3,9] yy1 = [4,5,1,7,4] gp = Plot() gp.baseName = 'linesInPlot' gp.scatter(xx1, yy1, plotMark='diamond') gp.minXToShow = 0.0 g = gp.lineFromSlopeAndIntercept(1, 2) g.lineThickness = 'thick' gp.verticalLine(x=3, y=4) c = gp.verticalLine(8) c.colour = 'gray' c.lineThickness = 'very thick' gp.xAxis.title = None gp.yAxis.title = None gp.png() gp.svg()
import math xx1 = [x/100. for x in range(-400, 401)] yy1a = [math.sqrt(1. + (x * x)) for x in xx1] yy1b = [-y for y in yy1a] from gram import Plot gp = Plot() g = gp.line(xx1, yy1a) g.colour = 'green' g = gp.line(xx1, yy1b) g.colour = 'green' g = gp.line(yy1a, xx1) g.colour = 'blue' g = gp.line(yy1b, xx1) g.color = 'blue' g = gp.line([-4, 4], [-4, 4]) g.color = 'red' g = gp.line([-4, 4], [4, -4]) g.colour = 'red' myTextSize = 'tiny' l1 = r'$y^2 + x^2 = 1$' g = gp.xYText(-2, 2.5, l1) g.anchor = 'west' g.textSize = myTextSize l1 = r'$x^2 - y^2 = 1$' g = gp.xYText(1.5, 1., l1) g.anchor = 'west'
for rev in range(8):
xx = []
yy = []
for i in range(len(rr)):
r = rr[i]
h = 0.0005 * j
h += 0.5
j += 1
pt = func.polar2square([r, h])
xx.append(pt[0])
yy.append(pt[1])
xxx.append(xx)
yyy.append(yy)
from gram import Plot
gp = Plot()
gp.baseName = 'spiral'
for rev in range(8):
xx = xxx[rev]
yy = yyy[rev]
g = gp.line(xx, yy, smooth=True)
g.lineStyle = gp.goodLineStyles[rev]
print g.lineStyle
gp.contentSizeX = 4.5
gp.contentSizeY = gp.contentSizeX
gp.xAxis.title = None
gp.yAxis.title = None
gp.yAxis.styles.remove('ticks')
gp.xAxis.styles.remove('ticks')
gp.frameT = None
gp.frameB = None
from gram import Plot
execfile("data1.py")
gp = Plot()
gp.baseName = 'line'
gp.line(xx1, yy1)
gp.png()
gp.svg()
for rev in range(8):
xx = []
yy = []
for i in range(len(rr)):
r = rr[i]
h = 0.0005 * j
h += 0.5
j += 1
pt = func.polar2square([r,h])
xx.append(pt[0])
yy.append(pt[1])
xxx.append(xx)
yyy.append(yy)
from gram import Plot
gp = Plot()
gp.baseName = 'spiral'
for rev in range(8):
xx = xxx[rev]
yy = yyy[rev]
g = gp.line(xx,yy,smooth=True)
g.lineStyle = gp.goodLineStyles[rev]
print(g.lineStyle)
gp.contentSizeX = 4.5
gp.contentSizeY = gp.contentSizeX
gp.xAxis.title = None
gp.yAxis.title = None
gp.yAxis.styles.remove('ticks')
gp.xAxis.styles.remove('ticks')
gp.frameT = None
gp.frameB = None
from gram import Plot
read('data5.py')
gp = Plot()
gp.baseName = 'lineAndBar_ugly'
gp.bars(binNames,binVals)
gp.line(xx1, yy1, smooth=True)
gp.png()
gp.svg()
from gram import Plot
read("data2.py")
gp = Plot()
gp.baseName = 'barB'
gp.font = 'helvetica'
c = gp.bars(xx1, yy1)
# c.barSets[0].fillColor = 'violet!20'
gp.barValAxis.title = 'gnat infestations'
gp.barNameAxis.title = None
#gp.barValAxis.position = 'r'
#gp.barNameAxis.position = 't'
gp.minBarValToShow = 0.
gp.maxBarValToShow = 80.
gp.barNameAxis.textRotate = 44
# gp.png()
gp.png()
gp.svg()
import random
from gram import Plot
plotmarks = ['o', 'square',
'triangle', 'diamond']
gg = []
for i in [0,1]:
for j in [0,1]:
xx1 = []
yy1 = []
for k in range(23):
xx1.append(random.random())
yy1.append(random.random())
gp = Plot()
gp.contentSizeX = 2.5
gp.contentSizeY = 2.
thePlotMark = plotmarks[(2 * i) +j]
c = gp.scatter(xx1, yy1,
plotMark=thePlotMark)
gp.minXToShow = 0.0
gp.minYToShow = 0.0
gp.maxXToShow = 1.0
gp.maxYToShow = 1.0
theText = '[%i.%i]' % (i, j)
c = gp.xYText(0.5, 0.5, theText)
c.colour = 'blue'
if i == 0:
gp.xAxis.title = None
gp.xAxis.styles.remove('ticks')
else:
from gram import Plot gp = Plot() gp.baseName = 'styles' gp.line([-1, 3, 6], [-2, 5, 0], smooth=True) # At this point, the styleDict is empty. # The styleDict is filled by render(). Calling # render() is usually automatic and hidden, # called by eg png(), but it can be called by # itself, and it does not hurt to call it # more than once. gp.render() st = gp.styleDict['tickLabel'] st.textFamily = 'ttfamily' st.textSize = 'large' st = gp.styleDict['axisLabel'] st.textFamily = 'ttfamily' st.textShape = 'itshape' st.textSize = 'huge' gp.xAxis.title = 'x' gp.yAxis.title = 'f(x)' gp.png() gp.svg()
from gram import Plot
read("data1.py")
gp = Plot()
gp.svgPxForCm = 100
gp.baseName = 'scatter'
gp.scatter(xx1, yy1)
gp.yAxis.title = 'scratches'
gp.xAxis.title = 'itches'
gp.minXToShow = 0
gp.maxXToShow = 12
gp.minYToShow = 0.
gp.maxYToShow = 34
gp.png()
gp.svg()
from gram import Plot
read("data2.py")
gp = Plot()
gp.baseName = 'barA'
gp.bars(xx1, yy1)
gp.png()
gp.svg()
from gram import Plot from data5 import xx1, yy1, binNames, binVals gp = Plot() gp.baseName = 'lineAndBar_good' c = gp.bars(binNames,binVals) gp.minBarValToShow = 0.0 gp.barNameAxis.title = None gp.barValAxis.title = 'frequency' c.barSets[0].fillColor = 'black!10' gp.barNameAxis.barLabelsEvery = 2 #gp.barNameAxis.textRotate = 90 gp.line(xx1, yy1, smooth=True) gp.xAxis.position = 't' gp.yAxis.position = 'r' gp.xAxis.title = None gp.yAxis.title = 'density' gp.maxXToShow = 4.0 gp.xAxis.tickLabelsEvery = 1 gp.maxBarValToShow = 5000 gp.maxYToShow = 1.0 gp.font = 'helvetica' gp.png() gp.svg()
from gram import Plot
read('data5.py')
gp = Plot()
gp.baseName = 'lineAndBar_better'
c = gp.bars(binNames, binVals)
c.barSets[0].fillColor = 'black!10'
gp.minBarValToShow = 0.0
gp.barNameAxis.title = None
gp.barValAxis.title = 'frequency'
gp.barNameAxis.barLabelsEvery = 2
gp.line(xx1, yy1, smooth=True)
gp.xAxis.position = 't'
gp.yAxis.position = 'r'
gp.xAxis.title = None
gp.xAxis.tickLabelsEvery = 2
gp.yAxis.title = 'density'
gp.png()
gp.svg() # line plot is not smooth
from gram import Plot
markerShapes = ['+', 'x', '*', '-', '|', 'o', 'asterisk',
'square', 'square*', 'triangle',
'triangle*', 'diamond', 'diamond*']
gp = Plot()
gp.baseName = 'plotMarks'
for mShNum in range(len(markerShapes)):
xx = [5]
yy = [len(markerShapes) - mShNum]
myMarker = markerShapes[mShNum]
gp.scatter(xx, yy, plotMark=myMarker)
g = gp.xYText(0, yy[0], myMarker)
g.textFamily = 'ttfamily'
g.anchor = 'west'
xx = [6]
g = gp.scatter(xx, yy, plotMark=myMarker)
g.color = 'red'
xx = [7]
g = gp.scatter(xx, yy, plotMark=myMarker)
g.fill = 'red'
xx = [8]
g = gp.scatter(xx, yy, plotMark=myMarker)
g.color = 'blue'
g.fill = 'yellow'
gp.line([4.5,8.5], [14, 14])
from gram import Plot xx1 = [2, 4, 7, 3, 9] yy1 = [4, 5, 1, 7, 4] gp = Plot() gp.contentSizeX = 2 gp.contentSizeY = 1.5 gp.baseName = 'textInPlot' gp.scatter(xx1, yy1, plotMark='asterisk') c = gp.xYText(7, 1.2, r'$\Downarrow$') c.anchor = 'south' c = gp.xYText(3.3, 7, r'$\leftarrow$\ Ignore this point') c.textSize = 'tiny' c.anchor = 'west' gp.xAxis.title = None gp.yAxis.title = None gp.png() # gp.svg() # looks bad, the latex text is not rendered
from gram import Plot
read("data2.py")
gp = Plot()
gp.baseName = 'barB'
c = gp.bars(xx1, yy1)
# c.barSets[0].fillColor = 'violet!20'
gp.barValAxis.title = 'gnat infestations'
gp.barNameAxis.title = None
#gp.barValAxis.position = 'r'
#gp.barNameAxis.position = 't'
gp.minBarValToShow = 0.
gp.maxBarValToShow = 80.
gp.barNameAxis.textRotate = 44
# gp.png()
gp.png()
gp.svg()
# Prepare the numbers, using p4.Numbers. Make the padMin and padMax
# the same for both data, so that the histo lists are the same size.
n1 = Numbers(nv1)
n1.binSize = 1
n1.histo(verbose=False,padMin=-3, padMax=15.)
n2 = Numbers(nv2)
n2.binSize = 1
n2.histo(verbose=False, padMin=-3, padMax=15.)
# prepare the binNames, and extract the histo values into separate
# lists.
binNames = []
vals1 = []
vals2 = []
for bNum in range(n1.nBins):
binNames.append('%i' % int(n1.bins[bNum][0]))
vals1.append(float(n1.bins[bNum][1]))
vals2.append(float(n2.bins[bNum][1]))
assert len(binNames) == len(vals1)
assert len(vals1) == len(vals2)
gp = Plot()
gp.baseName = 'twoBarsA'
gp.bars(binNames, [vals1, vals2])
gp.barValAxis.title = None
gp.barNameAxis.title = None
gp.png()
gp.svg()
from gram import Plot
markerShapes = ['+', 'x', '*', '-', '|', 'o', 'asterisk',
'square', 'square*', 'triangle',
'triangle*', 'diamond', 'diamond*']
gp = Plot()
gp.baseName = 'plotMarks'
for mShNum in range(len(markerShapes)):
xx = [5]
yy = [len(markerShapes) - mShNum]
myMarker = markerShapes[mShNum]
gp.scatter(xx, yy, plotMark=myMarker)
g = gp.xYText(0, yy[0], myMarker)
g.textFamily = 'ttfamily'
g.anchor = 'west'
xx = [6]
g = gp.scatter(xx, yy, plotMark=myMarker)
g.color = 'red'
xx = [7]
g = gp.scatter(xx, yy, plotMark=myMarker)
g.fill = 'red'
xx = [8]
g = gp.scatter(xx, yy, plotMark=myMarker)
g.color = 'blue'
g.fill = 'yellow'
gp.line([4.5,8.5], [14, 14])
n1.binSize = 1
n1.histo(verbose=False, padMin=-3, padMax=15.)
n2 = Numbers(nv2)
n2.binSize = 1
n2.histo(verbose=False, padMin=-3, padMax=15.)
# prepare the binNames, and extract the histo values into separate
# lists.
binNames = []
vals1 = []
vals2 = []
for bNum in range(n1.nBins - 1):
binNames.append('%i' % int(n1.bins[bNum][0]))
vals1.append(float(n1.bins[bNum][1]))
vals2.append(float(n2.bins[bNum][1]))
assert len(binNames) == len(vals1)
assert len(vals1) == len(vals2)
gp = Plot()
gp.baseName = 'twoBarsB'
gp.bars(binNames, [vals1, vals2])
gp.barValAxis.title = None
gp.barNameAxis.title = None
gp.maxBarValToShow = 800.
gp.barNameAxis.barLabelsEvery = 2
gp.barNameAxis.barLabelsSkipFirst = 1
gp.barNameAxis.textRotate = 90
gp.png()
gp.svg()
from gram import Plot
read('data5.py')
gp = Plot()
gp.baseName = 'lineAndBar_ugly'
gp.bars(binNames, binVals)
gp.line(xx1, yy1, smooth=True)
gp.png()
gp.svg()
from gram import Plot from data1 import xx1, yy1 gp = Plot() gp.baseName = 'line' gp.line(xx1, yy1) gp.png() gp.svg()
n1.binSize = 1
n1.histo(verbose=False,padMin=-3, padMax=15.)
n2 = Numbers(nv2)
n2.binSize = 1
n2.histo(verbose=False, padMin=-3, padMax=15.)
# prepare the binNames, and extract the histo values into separate
# lists.
binNames = []
vals1 = []
vals2 = []
for bNum in range(n1.nBins - 1):
binNames.append('%i' % int(n1.bins[bNum][0]))
vals1.append(float(n1.bins[bNum][1]))
vals2.append(float(n2.bins[bNum][1]))
assert len(binNames) == len(vals1)
assert len(vals1) == len(vals2)
gp = Plot()
gp.baseName = 'twoBarsB'
gp.bars(binNames, [vals1, vals2])
gp.barValAxis.title = None
gp.barNameAxis.title = None
gp.maxBarValToShow = 800.
gp.barNameAxis.barLabelsEvery = 2
gp.barNameAxis.barLabelsSkipFirst = 1
gp.barNameAxis.textRotate = 90
gp.png()
gp.svg()
from gram import Plot
read("data1.py")
gp = Plot()
gp.baseName = 'noFrame'
gp.line(xx1, yy1)
gp.yAxis.title = None
gp.xAxis.title = None
gp.yAxis.styles.remove('ticks')
gp.xAxis.styles.remove('ticks')
gp.frameT = None
gp.frameB = None
gp.frameL = None
gp.frameR = None
gp.png()
gp.svg()
from gram import Plot from data5 import xx1, yy1, binNames, binVals gp = Plot() gp.baseName = 'lineAndBar_better' c = gp.bars(binNames,binVals) c.barSets[0].fillColor = 'black!10' gp.minBarValToShow = 0.0 gp.barNameAxis.title = None gp.barValAxis.title = 'frequency' gp.barNameAxis.barLabelsEvery = 2 gp.line(xx1, yy1, smooth=True) gp.xAxis.position = 't' gp.yAxis.position = 'r' gp.xAxis.title = None gp.xAxis.tickLabelsEvery = 2 gp.yAxis.title = 'density' gp.png() gp.font = 'helvetica' gp.svg() # line plot is not smooth
