def plotCurves(self):
self.plot.clearWidget()
# 1st plot
indexes = numpy.arange(0, 360.1, 1.0)
sine = numpy.sin(indexes * 3.14159 / 180.0)
cosine = numpy.cos(indexes * 3.14159 / 180.0)
plplot.pladv(0)
plplot.plvpor(0.05, 0.95, 0.05, 0.45)
plplot.plwind(0.0, 360.0, -1.2, 1.2)
plplot.plcol0(2)
plplot.plbox("bcnst", 0., 0, "bcnst", 0., 0)
plplot.plcol0(1)
plplot.plwidth(2)
plplot.plline(indexes, sine)
plplot.plcol0(3)
plplot.plwidth(1)
plplot.pllsty(2)
plplot.plline(indexes, cosine)
plplot.pllsty(1)
plplot.plcol0(2)
plplot.plmtex("t", 1., 0.5, 0.5, "Sines")
# 2nd plot
indexes = numpy.arange(-1.0, 1.0, 0.01)
square = indexes * indexes
cubic = square * indexes
plplot.plvpor(0.05, 0.95, 0.55, 0.95)
plplot.plwind(-1., 1., -1., 1.)
plplot.plcol0(2)
plplot.plbox("bcnst", 0., 0, "bcnst", 0., 0)
plplot.plcol0(1)
plplot.plwidth(2)
plplot.plline(indexes, square)
plplot.plcol0(3)
plplot.plwidth(1)
plplot.pllsty(2)
plplot.plline(indexes, cubic)
plplot.pllsty(1)
plplot.plcol0(2)
plplot.plmtex("t", 1., 0.5, 0.5, "Square & Cubic")
self.update()
def plot4(w):
dtr = pi / 180.0
x0 = cos(dtr * arange(361))
y0 = sin(dtr * arange(361))
# Set up viewport and window, but do not draw box
w.plenv(-1.3, 1.3, -1.3, 1.3, 1, -2)
i = 0.1 * arange(1, 11)
#outerproduct(i,x0) and outerproduct(i,y0) is what we are
#mocking up here since old Numeric version does not have outerproduct.
i.shape = (-1, 1)
x = i * x0
y = i * y0
# Draw circles for polar grid
for i in range(10):
w.plline(x[i], y[i])
w.plcol0(2)
for i in range(12):
theta = 30.0 * i
dx = cos(dtr * theta)
dy = sin(dtr * theta)
# Draw radial spokes for polar grid
w.pljoin(0.0, 0.0, dx, dy)
# Write labels for angle
text = ` int(theta) `
#Slightly off zero to avoid floating point logic flips at 90 and 270 deg.
if dx >= -0.00001:
w.plptex(dx, dy, dx, dy, -0.15, text)
else:
w.plptex(dx, dy, -dx, -dy, 1.15, text)
# Draw the graph
r = sin((dtr * 5.) * arange(361))
x = x0 * r
y = y0 * r
w.plcol0(3)
w.plline(x, y)
w.plcol0(4)
w.plmtex("t", 2.0, 0.5, 0.5, "#frPLplot Example 3 - r(#gh)=sin 5#gh")
w.plflush()
def plotHistogram(self):
def plfbox(x0, y0):
x = numpy.array([x0, x0, x0 + 1.0, x0 + 1.0])
y = numpy.array([0.0, y0, y0, 0.0])
plplot.plfill(x, y)
plplot.plcol0(1)
plplot.pllsty(1)
plplot.plline(x, y)
self.plot.clearWidget();
y0 = numpy.array([5, 15, 12, 24, 28, 30, 20, 8, 12, 3])
pos = numpy.array([0.0, 0.25, 0.5, 0.75, 1.0])
red = numpy.array([0.0, 0.25, 0.5, 1.0, 1.0])
green = numpy.array([1.0, 0.5, 0.5, 0.5, 1.0])
blue = numpy.array([1.0, 1.0, 0.5, 0.25, 0.0])
plplot.pladv(0)
plplot.plvsta()
plplot.plcol0(2)
plplot.plwind(1980.0, 1990.0, 0.0, 35.0)
plplot.plbox("bc", 1.0, 0, "bcnv", 10.0, 0)
plplot.plcol0(2)
plplot.pllab("Year", "Widget Sales (millions)", "#frPLplot Example 12")
plplot.plscmap1l(1,pos,red,green,blue)
for i in range(10):
plplot.plcol1(i/9.0)
plplot.plpsty(0)
plfbox((1980. + i), y0[i])
string = "%.0f" % (y0[i])
plplot.plptex((1980. + i + .5), (y0[i] + 1.), 1.0, 0.0, .5, string)
string = "%d" % (1980 + i)
plplot.plmtex("b", 1.0, ((i + 1) * .1 - .05), 0.5, string)
self.update()
def main(w):
FCI_COMBINATIONS = 30
w.plsfont(0, 0, 0)
for index_fci in range(0, FCI_COMBINATIONS):
family_index = index_fci % 5
style_index = (index_fci / 5) % 3
weight_index = ((index_fci / 5) / 3) % 2
title = "Type 1 glyphs for family = " + family[
family_index] + ", style = " + style[
style_index] + ", weight = " + weight[weight_index]
w.pladv(0)
# Set up viewport and window
w.plcol0(2)
w.plvpor(0.1, 1.0, 0.1, 0.9)
w.plwind(0.0, 1.0, 0.0, 1.0)
# Draw the grid using w.plbox
w.plbox("bcg", 1. / 16., 0, "bcg", 1. / 16., 0)
# Write the digits below the frame
w.plcol0(15)
for i in range(16):
w.plmtex("b", 1.5, ((i + 0.5) / 16.), 0.5, str(i))
k = 0
w.plmtex("t", 1.5, 0.5, 0.5, title)
for i in range(16):
# Write the digits to the left of the frame
w.plmtex("lv", 1.0, (1.0 - (i + 0.5) / 16.), 1.0, str(16 * i))
w.plsfont(family_index, style_index, weight_index)
for j in range(16):
x = (j + 0.5) / 16.
y = 1. - (i + 0.5) / 16
# Display the Type 1 glyph corresponding to k
glyph_string = unichr(k).encode('utf-8')
# Escape the escape.
if glyph_string == "#":
glyph_string = "##"
w.plptex(x, y, 1., 0., 0.5, glyph_string)
k = k + 1
w.plsfont(0, 0, 0)
# Append to effective python path so that can find plplot modules.
from plplot_python_start import *
import sys
import plplot as w
from numpy import *
# Parse and process command line arguments
w.plparseopts(sys.argv, w.PL_PARSE_FULL)
# Initialize plplot
w.plinit()
# Like yellow lines better.
w.plcol0(2)
w.pladv(0)
w.plvpor(0.1, 0.9, 0.1, 0.9)
w.plwind(0., 1., 0., 1.)
x=0.*arange(2)
y=1.*arange(2)
w.plline(x,y)
x=0.1*arange(2)
y=0.5+0.*arange(2)
w.plline(x,y)
w.plschr(0., 4.)
#w.plmtex("l", 0., 0.5, 0.5, "#[0x00d7]#[0x00d7]#[0x00d7]#[0x00d7]#[0x00d7]#[0x00d7]#[0x00d7]")
w.plmtex("l", 0., 0.5, 0.5, "HHHHHHH")
# Terminate plplot
w.plend()
w.plbox("bc", 0., 0, "bc", 0., 0)
w.plptex(0.5, 0.8, 1., 0., 0.5, "X#d0#d#<italic/>1#d2#u3#u4#u5#u6#u7#u8#d9#d0#d1")
w.plptex(0.5, 0.8, 1., 0., 0.5, "X#u0#u#<italic/>1#u2#d3#d4#d5#d6#d7#d8#u9#u0#u1")
w.plptex(0.5, 0.6, 1., 0., 0.5, "#ga#uaa#gad#gdp#gr#gf#d, #ga#u#ga#gaad#gdp#gr#gf#d, B#ua#<italic/>a#gad#gdp#gr#gf#d, B#u#ga#gaad#gdp#gr#gf#d")
w.plptex(0.5, 0.4, 1., 0., 0.5, "#ga#daa#gad#gdp#gr#gf#u, #ga#d#ga#gaad#gdp#gr#gf#u, B#da#<italic/>a#gad#gdp#gr#gf#u, B#d#ga#gaad#gdp#gr#gf#u")
w.plptex(0.5, 0.2, 1., 0., 1.1, "B#uf#d, B#ur#d")
w.plptex(0.5, 0.2, 1., 0., -0.1, "B#df#u, B#dr#u")
w.pladv(0)
w.plvpor(0.2, 0.8, 0.2, 0.8)
w.plwind(0., 1.e-200, 0., 1.e-200)
w.plbox("bcmnt", 0., 0, "bcmntv", 0., 0)
# Some fiducial marks that show yoffset problems with the pdf device.
w.plmtex("t", -5.125, 0.1, 0.5, "X")
w.plmtex("t", -5.125, 0.2, 0.5, "X#d")
w.plmtex("t", -5.125, 0.3, 0.5, "X#u")
#w.plmtex("t", -10.250, 0.1, 0.5, "X")
#w.plmtex("t", -15.375, 0.1, 0.5, "X")
#w.plmtex("t", -20.500, 0.1, 0.5, "X")
# Roughly duplicate w.plptex tests of superscript/subscript.
w.plmtex("t", -5.125, 0.5, 0.5, "X#d0#d1#d2#u3#u4#u5#u6#u7#u8#d9#d0#d1")
w.plmtex("t", -5.125, 0.5, 0.5, "X#u0#u1#u2#d3#d4#d5#d6#d7#d8#u9#u0#u1")
w.plmtex("t", -10.250, 0.5, 0.5, "#ga#uaa#gad#gdp#gr#gf#d, #ga#u#ga#gaad#gdp#gr#gf#d, B#uaa#gad#gdp#gr#gf#d, B#u#ga#gaad#gdp#gr#gf#d")
w.plmtex("t", -15.375, 0.5, 0.5, "#ga#daa#gad#gdp#gr#gf#u, #ga#d#ga#gaad#gdp#gr#gf#u, B#daa#gad#gdp#gr#gf#u, B#d#ga#gaad#gdp#gr#gf#u")
w.plmtex("t", -20.500, 0.5, 1.1, "B#uf#d, B#ur#d")
w.plmtex("t", -20.500, 0.5, -0.1, "B#df#u, B#dr#u")
# These four tests mimic what occurs for badly scaled w.plbox axes.
# Parse and process command line arguments
w.plparseopts(sys.argv, w.PL_PARSE_FULL)
# Initialize plplot
w.plinit()
for kind in range(len(title)):
w.pladv(0)
w.plvpor(0.1, 0.9, 0.1, 0.9)
w.plwind(0., 1., 0., 1.)
# Just to show edges of viewport
w.plcol0(1)
w.plbox("bc", 0., 0, "bc", 0., 0)
w.plcol0(2)
w.plschr(0., 1.)
w.plmtex("t", 1., 0.5, 0.5, title[kind])
k = 0
for size in 2.**arange(2, -3, -1):
k += 1
w.plcol0(k)
if kind == 0:
if ifunicode:
w.plschr(0., 4. * size)
# LARGE CIRCLE has a centre of symmetry which is about one-eighth the
# radius below the centre of symmetry of the box for DejaVu Sans.
w.plptex(0.5, 0.5, 1., 0., 0.5, "#[0x25ef]")
# BOX DRAWINGS LIGHT DIAGONAL CROSS is one of the best centred symmetrical
# glyphs I have found using gucharmap for DejaVu Sans.
w.plptex(0.5, 0.5, 1., 0., 0.5, "#[0x2573]")
else:
w.plschr(0., 4. * size)
height = 3.0
# angle to view box
alt = 45.0
az = 30.0
side = 1
opt = 3 # plots a net of lines
plplot.plsdev("xwin")
plplot.plinit()
plplot.plenv(xMin2D, xMax2D, yMin2D, yMax2D, 0, -2)
plplot.plw3d(basex, basey, height,
xMin, xMax, yMin, yMax, zMin, zMax,
alt, az)
plplot.plmtex("t", 1.0, 0.5, 0.5, "Example surface plot")
plplot.plbox3("bnstu", "x axis", 0.0, 0,
"bnstu", "y axis", 0.0, 0,
"bcdmnstuv", "z axis", 0.0, 0)
plplot.plsurf3d(x, y, z, 0, ())
plplot.plend()
# to save as well, have to set everything up again, and replot
# save as png
plplot.plsdev("png")
plplot.plsfnam("surfacePlot.png")
plplot.plinit()
plplot.plenv(xMin2D, xMax2D, yMin2D, yMax2D, 0, -2)
plplot.plw3d(basex, basey, height,
xMin, xMax, yMin, yMax, zMin, zMax,
alt, az)
