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)
def mouseMoveEvent(self, qmev):
print "MOVE IN PYTHON"
if (hasattr(plplot, "semaphore")):
if (plplot.owner is not self):
plplot.semaphore.acquire()
plplot.owner = self
self.set_stream()
if (qmev.state() == 1):
x = qmev.x()
y = qmev.y()
(xa, ya) = plplot.plPixel2U(self.xstart, self.ystart)
(xb, yb) = plplot.plPixel2U(x, y)
plplot.plmoveimage(xb - xa, yb - ya)
plplot.plNoBufferNoPixmap()
plplot.plRestoreWrite2BufferPixmap()
else:
plplot.plNoBufferNoPixmap()
(xu, yu) = plplot.plPixel2U(qmev.x(), qmev.y())
(xmin, xmax, ymin, ymax) = plplot.plPgvpw()
plplot.plline([xmin, xmax], [yu, yu])
plplot.plline([xu, xu], [ymin, ymax])
plplot.plRestoreWrite2BufferPixmap()
if (hasattr(plplot, "semaphore")):
plplot.semaphore.release()
def plot3(w):
# For the final graph we wish to override the default tick
# intervals, so do not use w.plenv
w.pladv(0)
# Use standard viewport, and define X range from 0 to 360
# degrees, Y range from -1.2 to 1.2.
w.plvsta()
w.plwind(0.0, 360.0, -1.2, 1.2)
# Draw a box with ticks spaced 60 degrees apart in X, and 0.2 in Y.
w.plcol0(1)
w.plbox("bcnst", 60.0, 2, "bcnstv", 0.2, 2)
# Superimpose a dashed line grid, with 1.5 mm marks and spaces.
w.plstyl([1500], [1500])
w.plcol0(2)
w.plbox("g", 30.0, 0, "g", 0.2, 0)
w.plstyl([], [])
w.plcol0(3)
w.pllab("Angle (degrees)", "sine", "#frPLplot Example 1 - Sine function")
x = 3.6 * arange(101)
y = sin((pi / 180.) * x)
w.plcol0(4)
w.plline(x, y)
w.plflush()
def plot2(w):
# Set up the viewport and window using w.plenv. The range in X
# is -2.0 to 10.0, and the range in Y is -0.4 to 2.0. The axes
# are scaled separately (just = 0), and we draw a box with
# axes (axis = 1).
w.plcol0(1)
w.plenv(-2.0, 10.0, -0.4, 1.2, 0, 1)
w.plcol0(2)
w.pllab("(x)", "sin(x)/x", "#frPLplot Example 1 - Sinc Function")
# Fill up the arrays
x = (arange(100) - 19) / 6.0
if 0.0 in x:
#replace 0.0 by small value that gives the same sinc(x) result.
x[list(x).index(0.0)] = 1.e-30
y = sin(x) / x
# Draw the line
w.plcol0(3)
w.plline(x, y)
w.plflush()
def plot1(w, xscale, yscale, xoff, yoff):
x = xoff + (xscale / 60.) * (1 + arange(60))
y = yoff + yscale * pow(x, 2.)
xmin = x[0]
xmax = x[59]
ymin = y[0]
ymax = y[59]
xs = x[3::10]
ys = y[3::10]
# Set up the viewport and window using w.plenv. The range in X
# is 0.0 to 6.0, and the range in Y is 0.0 to 30.0. The axes
# are scaled separately (just = 0), and we just draw a
# labelled box (axis = 0).
w.plcol0(1)
w.plenv(xmin, xmax, ymin, ymax, 0, 0)
w.plcol0(6)
w.pllab("(x)", "(y)", "#frPLplot Example 1 - y=x#u2")
# Plot the data points
w.plcol0(9)
w.plpoin(xs, ys, 9)
# Draw the line through the data
w.plcol0(4)
w.plline(x, y)
w.plflush()
def mouseMoveEvent (self, qmev ) :
print "MOVE IN PYTHON"
if(hasattr(plplot,"semaphore")):
if(plplot.owner is not self):
plplot.semaphore.acquire()
plplot.owner=self
self.set_stream()
if(qmev.state()==1):
x=qmev.x()
y=qmev.y()
(xa,ya)=plplot.plPixel2U(self.xstart,self.ystart )
(xb,yb)=plplot.plPixel2U(x, y)
plplot.plmoveimage(xb-xa,yb-ya)
plplot.plNoBufferNoPixmap()
plplot.plRestoreWrite2BufferPixmap()
else:
plplot.plNoBufferNoPixmap()
(xu,yu)=plplot.plPixel2U(qmev.x(), qmev.y())
(xmin,xmax,ymin,ymax)=plplot.plPgvpw()
plplot.plline( [xmin,xmax],[yu,yu])
plplot.plline( [xu,xu],[ymin, ymax])
plplot.plRestoreWrite2BufferPixmap()
if(hasattr(plplot,"semaphore")):
plplot.semaphore.release()
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 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()
This is the original code used to develop the plplot renderer module
"""
# set up some data to plot
from Numeric import *
x = arange(10, typecode=Float)
y = x**2
import plplot
plplot.plsdev("xwin")
plplot.plinit()
plplot.plenv(min(x), max(x), min(y), max(y), 0, 1)
plplot.pllab("x", "x**2", "Example 2D plot")
plplot.plline(x, y)
plplot.plend()
# to save as well, have to set everything up again, and replot
# save as png
plplot.plsdev("png")
plplot.plsfnam("simplePlotExample.png")
plplot.plinit()
plplot.plenv(min(x), max(x), min(y), max(y), 0, 1)
plplot.pllab("x", "x**2", "Example 2D plot")
plplot.plline(x, y)
plplot.plend()
# save as postscript
plplot.plsdev("psc")
plplot.plsfnam("simplePlotExample.ps")
# 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()
def plline(x,y):
if PLPLOT:
plg.plline(x,y)
else:
plg.pgline(x,y)
xMax = max(x)
yMin = min(y)
yMax = max(y)
plplot.plsdev("xwin")
plplot.plinit()
plplot.plenv(xMin, xMax, yMin, yMax, 0, 1)
plplot.pllab("x", "y", "Example shaded contour plot")
plshades(zz, shedge, fill_width, 1, pltr1, xg1, yg1)
zmin = min(zz.flat)
zmax = max(zz.flat)
clevel = zmin + (zmax - zmin) * (arrayrange(NS)+0.5)/NS
shedge = zmin + (zmax - zmin) * (arrayrange(NS+1))/NS
plplot.plend()
# to save as well, have to set everything up again, and replot
# save as png
plplot.plsdev("png")
plplot.plsfnam("contourPlot.png")
plplot.plinit()
plplot.plenv(xMin, xMax, yMin, yMax, 0, 1)
plplot.pllab("x", "y", "Example shaded contour plot")
plplot.plline(x, y1)
plplot.plend()
# vim: expandtab shiftwidth=4:
# determine the min and max of x
xMin = min(x)
xMax = max(x)
# determine the global min and max of all the y's
yAll = concatenate( [y1, y2, y3] )
yMin = min(yAll)
yMax = max(yAll)
plplot.plsdev("xwin")
plplot.plinit()
plplot.plenv(xMin, xMax, yMin, yMax, 0, 1)
plplot.pllab("x", "y", "Example 2D plot")
plplot.plline(x, y1)
plplot.plline(x, y2)
plplot.plline(x, y3)
plplot.plend()
# to save as well, have to set everything up again, and replot
# save as png
plplot.plsdev("png")
plplot.plsfnam("multiCurveLinePlot.png")
plplot.plinit()
plplot.plenv(xMin, xMax, yMin, yMax, 0, 1)
plplot.pllab("x", "y", "Example 2D plot")
plplot.plline(x, y1)
plplot.plline(x, y2)
plplot.plline(x, y3)
plplot.plend()