def test(colormap):
with Plot(colormap) as p:
p.title = r"%s colormap" % colormap
p.x.label = "$x$"
p.y.label = "$y$"
p.legend.show = False
p.style.colormap(colormap)
p.style.thickness = ["ultra thick"] * 8
for i in range(8):
p.plot(Function(lambda x: sin(x - i * pi / 8),
samples=50,
range=(0, pi)),
title=r"$\sin(x)$")
import numpy
from math import pi, sqrt, exp
from plotz import Plot, Function, DataFile
numpy.random.seed(42)
mu, sigma = 100, 15
n = 10000
x = mu + sigma * numpy.random.randn(n)
hist, bins = numpy.histogram(x, bins=30)
factor = (bins[1] - bins[0]) * n
with Plot("plot") as p:
p.title = "example of PlotZ histogram"
p.x.min = 40
p.x.max = 160
p.x.ticks = 20
p.x.label = r"$x$"
p.y.min = 0
p.y.ticks = 200
p.y.label = r"\# occurrences"
p.y.label_rotate = True
p.y.label_shift *= 0.8
# bins
p.histogram.bins = bins
# bins
# hist
from math import sin, pi
from plotz import Plot, Function
from plotz.utils import Markers
with Plot("plot") as p:
p.title = "markers"
p.x.label = "$x$"
p.y.label = "$y$"
p.style.colormap("dark")
N = 6
fun = [
lambda x, j=i: sin(2 * pi * x) + (N + 1) - N / (N - 1.) * j
for i in range(N)
]
# markers
p.plot(Function(fun[0], samples=20, range=(0, 1)), title=r"line 0").style({
"markers":
True,
})
# markers
# oneInN
p.plot(Function(fun[1], samples=20, range=(0, 1)), title=r"line 1").style({
"markers":
True,
"markers_filter":
Markers.oneInN(2),
})
from plotz import Plot, DataFile
from plotz.utils import Markers
with Plot("fourier") as p:
p.title = "Amplification factor of various acceleration schemes"
p.x.min = 0
p.x.max = 20
p.x.ticks = 2
p.x.label = r"$\omega$"
p.y.min, p.y.max = 0, 1
p.y.tick_format = lambda x: "%.1f"%x
p.y.label = r"$\displaystyle\frac{\Vert\phi_1\Vert_2}{\Vert\phi_0\Vert_2}$"
p.y.label_shift *= 0.8
# thickness
p.style.thickness = ["ultra thin", "thick", "ultra thick"]
p.plot(DataFile("fourier.dat"), title="SI").style({
"thickness": 2, # ultra thick
})
# thickness
p.plot(DataFile("fourier.dat"), title="DSA", col=(0,2)).style({
"thickness": 2,
})
# markers
p.plot(DataFile("fourier.dat"), title="PDSA(2)", col=(0,3)).style({
"thickness": 0,
from math import sin, pi
from plotz import Plot, Function, DataFile
from plotz.utils import Markers
with Plot("plot") as p:
p.title = "Line patterns"
p.x.label = "$x$"
p.y.label = "$y$"
# dashed
p.style.dashed()
p.style.colormap("monochrome")
# dashed
N = 8
fun = [
lambda x, j=i: sin(2 * pi * x) + (N + 1) - N / (N - 1.) * j
for i in range(N)
]
for i in range(N):
p.plot(Function(fun[i], samples=40, range=(0, 1)),
title=r"pattern %d" % i)
p.legend("east", "west")
p.legend.margin = 1
with Plot("monochrome") as p:
p.title = r"Monochrome plot"
p.x.min = 0