def _smithchart_recalc(self, new=False):
for sset in self.__ssets:
dname = self.__sset_dname[sset]
fcol = self.__sset_fdcol[sset]
rcol = self.__sset_rdcol[sset]
icol = self.__sset_idcol[sset]
fdata = self.__sset_fdata[sset]
rdata = self.__sset_rdata[sset]
idata = self.__sset_idata[sset]
dsmith = Data()
dsmith.read_inline(fcol, fdata, rcol, rdata, icol, idata)
# if input data is admittance or impedance, convert to s-parameter
if new:
self.add_curve(dsmith, rcol, icol, dname=dname)
else:
curve = "%s_:_%s_%s_vs_%s" % (dname, rcol, icol, fcol)
self._curve_xdata[curve] = dsmith.get(rcol)
self._curve_ydata[curve] = dsmith.get(icol)
#!/usr/bin/env python
import decida
import decida.test
from decida.Data import Data
from decida.DataViewm import DataViewm
test_dir = decida.test.test_dir()
d = Data()
d.read(test_dir + "data/LTspice/binary/ac.raw")
DataViewm(data=d,
command=[["frequency DB(V(vout1)) PH(V(vout1))", "xaxis=\"log\""]])
#!/usr/bin/env python
import math
import decida
from decida.Data import Data
from decida.XYplotm import XYplotm
d = Data()
npts, xmin, xmax = 10000, 0, 10
x_data = decida.range_sample(xmin, xmax, num=npts)
y_data = []
for x in x_data:
y_data.append(math.sin(x * 10))
d.read_inline("X", x_data, "Y", y_data)
XYplotm(command=[d, "X Y"])
#!/usr/bin/env python
from __future__ import print_function
import decida
import decida.test
from decida.Data import Data
from decida.Fitter import Fitter
from decida.DataViewm import DataViewm
test_dir = decida.test.test_dir()
d = Data()
d.read(test_dir + "data/icp_tr_diff.report")
# dicp_mod = a0 + a1*sign(dt)*(1-(1+(abs(dt/u0))^x0)/(1+(abs(dt/u1))^x1))
ftr = Fitter("""
t1 = a1*sign(dt)
num=1+abs(dt/u0)^x0
den=1+abs(dt/u1)^x1
dicp_mod = a0 + t1*(1-num/den)
""",
"""
a0 -3.77e-6 lower_limit=-1e-5 upper_limit=1e-5
a1 6e-3 include lower_limit=1e-8 upper_limit=1
u0 2.2e-10 include lower_limit=1e-11
u1 2.1e-10 include lower_limit=1e-11
x0 1.03 include lower_limit=1.0
x1 1.03 include lower_limit=1.0
""",
meast_col="dicp",
model_col="dicp_mod",
error_col="residual",
residual="relative",
#!/usr/bin/env python
import decida
import decida.test
from decida.Data import Data
from decida.XYplotm import XYplotm
test_dir = decida.test.test_dir()
d = Data()
d.read(test_dir + "data/LTspice/ascii/ac.raw")
XYplotm(None,
command=[d, "frequency DB(V(vout1))"],
title="AC analysis",
xaxis="log",
ymin=-60.0,
ymax=0.0)
#!/usr/bin/env python import decida import decida.test from decida.Data import Data test_dir = decida.test.test_dir() d = Data() d.read(test_dir + "data/data.csv") d.show()
#!/usr/bin/env python from __future__ import print_function import decida import decida.test from decida.Data import Data test_dir = decida.test.test_dir() d = Data() d.read(test_dir + "data/spars.col") print(d.names()) print(d.ncols()) print(d.nrows()) d.twin()
#!/usr/bin/env python
from __future__ import print_function
import decida
import decida.test
from decida.Data import Data
test_dir = decida.test.test_dir()
d = Data()
d.read(test_dir + "data/data.csv")
d.show()
d.sort("freq")
d.show()
d1 = d.dup()
f3 = d.get_entry(3, "freq")
print("freq(3) = ", f3)
d.set_entry(3, "freq", f3 * 3)
d.show()
col = d1.unique_name("M")
d1.append(col)
d1.set("$col = wc")
print(col, "index = ", d1.index(col))
d1.show()
d1.insert(col, "wc2", "wc3")
d1.name(col, "wc1")
d1.set("point = index")
d1.show()
#!/usr/bin/env python import decida import decida.test from decida.Data import Data from decida.SmithChartx import SmithChartx test_dir = decida.test.test_dir() d = Data() d.read(test_dir + "data/spars.col") SmithChartx(None, command=[d, "freq REAL(Sdd11) IMAG(Sdd11) REAL(Sdd22) IMAG(Sdd22) REAL(Sdd12) IMAG(Sdd12)"], symbols=["dot"])
dataobj.set("Cc = (floor(vc/4.0)+fmod(vc,4)*0.25)*$Cu")
dataobj.set("Cf = $a2 - $b2*vf + $c2*vf^2")
dataobj.set("Ct = $Co + Cc + Cf")
dataobj.set("fhat = 1.0/(2*pi*sqrt($L*Ct))")
dataobj.set("residual = fhat - freq")
parobj = Parameters(specs=(
("L", 2400e-12, False, True, False, 0.0, 0.0),
("Co", 250e-15, True, True, False, 0.0, 0.0),
("Cu", 60e-15, True, True, False, 0.0, 0.0),
("C1", 23e-15, True, True, False, 0.0, 0.0),
("C2", 27e-15, True, True, False, 0.0, 0.0),
))
dataobj = Data()
dataobj.read(test_dir + "data/lcdata.col")
optobj = LevMar(lcfunc,
parobj,
dataobj,
meast_col="freq",
model_col="fhat",
error_col="residual",
quiet=False,
debug=False)
optobj.fit()
print(optobj.status())
print("parameters = ", list(parobj.values()))
XYplotm(command=[dataobj, "vf freq fhat"])
#!/usr/bin/env python
import decida
import decida.test
from decida.Data import Data
from decida.DataViewm import DataViewm
from decida.FrameNotebook import FrameNotebook
test_dir = decida.test.test_dir()
files = ("icp_tr.report", "icp_tr.report")
nfiles = len(files)
fn = FrameNotebook(tab_location="right")
for ifile, filename in enumerate(files) :
d = Data()
d.read(test_dir + "data/" + filename)
plt = "dt icp_final icp_expt"
DataViewm(fn.new_page(filename), data=d, command=[[plt]])
# display first page correctly:
fn.lift_tab(filename)
if ifile < nfiles - 1 :
fn.wait("continue")
else :
fn.wait()
#!/usr/bin/env python
import decida
import decida.test
from decida.Data import Data
from decida.DataViewm import DataViewm
test_dir = decida.test.test_dir()
d = Data()
d.read(test_dir + "data/lcosc.tr.col")
dx = d.period_time_average("time", "ivdd", period=70e-12)
DataViewm(data=dx, command=[["time avg"]])
#!/usr/bin/env python
from __future__ import print_function
import re
import glob
import decida
import decida.test
from decida.Data import Data
test_dir = decida.test.test_dir()
for file in glob.glob(test_dir + "/data/*/*/*") :
datafile_format = Data.datafile_format(file)
if datafile_format == "nutmeg":
file_tail = re.sub("^" + test_dir + "/data/", "", file)
blocks = Data.nutmeg_blocks(file)
print(file_tail, ":")
for block in blocks :
print(" ", block)
#!/usr/bin/env python
import decida
import decida.test
from decida.Data import Data
from decida.DataViewm import DataViewm
test_dir = decida.test.test_dir()
d = Data()
d.read(test_dir + "data/sspice/ascii/dc.raw")
d.set("i(vd) = - i(vd)")
DataViewm(data=d, command=[["vd i(vd)"], ["vd i(vb)", "yaxis=\"log\""]])
def tr(detail="simulate"):
global tckt
test = tckt.get_test()
modelfile = tckt.get_modelfile()
tckt["circuit"] = "crrc"
tckt["netlistfile"] = "data/crrc.sp"
#--------------------------------------------------------------------------
# signals to monitor
#--------------------------------------------------------------------------
tckt.monitor("""
qp cm 0 ip n p in qn
""")
#--------------------------------------------------------------------------
# loop through experiments
#--------------------------------------------------------------------------
poststart = True
cases = ['tt', 'ss', 'ff', 'fs', 'sf']
if True:
cases = ["tt"]
for case in cases:
tckt["case"] = case
ckey = tckt.get_case_key()
process = tckt.get_process()
vdd = tckt.get_vdd()
temp = tckt.get_temp()
prefix = "%s.%s.%s" % \
(test, tckt["circuit"], case)
print(prefix)
tckt["title"] = prefix
tckt["prefix"] = prefix
tstop = 500e-12
tstep = 1e-12
tckt.elements("""
vp netlist
vn netlist
""")
tckt.control("""
.options rawpts=150 nomod brief=1 probe
.options itl1=50000 itl2=50000 gmin=0 dcpath=0
.options conv=-1 accurate=1 gmin=0 dcpath=0
.prot
.lib '$modelfile' $process
.unprot
.temp $temp
.tran $tstep $tstop
.parameter fosc=14G res=50 cap=220f
""")
if detail == "simulate":
if False and tckt.is_already_done():
continue
tckt.generate_inputfile()
tckt.simulate(clean=False)
elif detail == "view":
if poststart:
poststart = False
if tckt.no_data():
continue
d = Data()
d.read_nutmeg(tckt.get_datafile())
xy = XYplotm(command=[d, "time v(ip) v(qn) v(in) v(qp)"])
elif detail == "report":
if poststart:
poststart = False
point = 0
rpt = Report(test + ".report", verbose=True, csv=True)
header = "point case temp vdd"
rpt.header(header)
if tckt.no_data():
continue
d = Data()
d.read_nutmeg(tckt.get_datafile())
rpt.report(point, ckey, temp, vdd)
point += 1
del d
else:
print("detail " + detail + " not supported")
#! /usr/bin/env python
import decida
import decida.test
from decida.Data import Data
from decida.XYplotm import XYplotm
from decida.FrameNotebook import FrameNotebook
test_dir = decida.test.test_dir()
fn = FrameNotebook()
d = Data(verbose=False)
d.read_nutmeg(test_dir + "data/LTspice/binary/ac.raw")
XYplotm(fn.new_page("bin_ac"),
command=[d, "frequency DB(V(vout1)) PH(V(vout1))"],
title="AC analysis",
xaxis="log",
ymin=-60.0,
ymax=0.0)
d.read_nutmeg(test_dir + "data/LTspice/ascii/ac.raw")
XYplotm(fn.new_page("asc_ac"),
command=[d, "frequency DB(V(vout1)) PH(V(vout1))"],
title="AC analysis",
xaxis="log",
ymin=-60.0,
ymax=0.0)
fn.wait()
#! /usr/bin/env python
import decida
import decida.test
from decida.Data import Data
from decida.XYplotm import XYplotm
from decida.FrameNotebook import FrameNotebook
test_dir = decida.test.test_dir()
fn = FrameNotebook(tab_location="right")
d = Data()
d.read_nutmeg(test_dir + "data/sspice/binary/tr.raw")
XYplotm(fn.new_page("(mat)bin_tr"),
command=[d, "time v(cint)"],
title="TR analysis",
ymin=0,
ymax=3)
XYplotm(fn.new_page("(xmat)bin_tr"),
command=[d, "time v(cint)"],
title="TR analysis",
ymin=0,
ymax=3,
use_matplotlib=False)
d.read_nutmeg(test_dir + "data/sspice/ascii/dc.raw")
d.set("i(vd) = -i(vd)")
XYplotm(fn.new_page("(mat)asc_dc"),
command=[d, "v(d) i(vd)"],
title="DC analysis",
ymin=0,
def __sample(self):
plot_type = self.__Component["plot_type_var"].get()
sample_type = self.__Component["sample_type_var"].get()
key = "%s_entry" % (self.__swept_col)
sweep = self.__Component[key].get()
npts = int(self.__Component["npts_entry"].get())
xmin = float(self.__Component["min_entry"].get())
xmax = float(self.__Component["max_entry"].get())
mode = sample_type[0:3]
values = decida.range_sample(xmin, xmax, num=npts, mode=mode)
#-------------------------------
# get and preprocess equations
#-------------------------------
tobj = self.__Component["text"]
eqns = tobj.get(1.0, "end")
eqns = str(eqns)
#-------------------------------
# split on newline and semicolon
#-------------------------------
eqnlines = eqns.split("\n")
newlines = []
for eqnline in eqnlines:
sublines = eqnline.split(";")
for subline in sublines:
newlines.append(subline)
eqnlines = newlines
#-----------------------------------
# eliminate comments and blank lines
#-----------------------------------
eqnlist = []
for eqnline in eqnlines:
eqnline = re.sub("#.*$", "", eqnline)
eqnline = eqnline.strip()
if eqnline:
eqnlist.append(eqnline)
#--------------------------------------
# start with new data object, sample x
#--------------------------------------
if self.__data_obj is not None:
del self.__data_obj
self.__data_obj = Data()
self.__data_obj.read_inline(sweep, values)
#--------------------------------------
# evaluate equations
#--------------------------------------
for eqn in eqnlist:
self.__data_obj.set(eqn)
#--------------------------------------
# polar to cartesian
#--------------------------------------
angle = "radians"
if angle == "degrees":
cvt = math.pi / 180.0
else:
cvt = 1.0
if plot_type in ["polar", "polar-parametric"]:
xcol = self.__Component["xcol_entry"].get()
ycol = self.__Component["ycol_entry"].get()
acol = self.__Component["acol_entry"].get()
rcol = self.__Component["rcol_entry"].get()
self.__data_obj.set("%s=%s*cos(%s*%s)" % (xcol, rcol, acol, cvt))
self.__data_obj.set("%s=%s*sin(%s*%s)" % (ycol, rcol, acol, cvt))
#!/usr/bin/env python
from __future__ import print_function
import re
import glob
import decida
import decida.test
from decida.Data import Data
test_dir = decida.test.test_dir()
files = glob.glob(test_dir + "/data/*/*/*")
files.extend(glob.glob(test_dir + "/data/*.csv"))
files.extend(glob.glob(test_dir + "/data/*.report"))
files.extend(glob.glob(test_dir + "/data/*.col"))
for file in files:
datafile_format = Data.datafile_format(file)
file_tail = re.sub("^" + test_dir + "/data/", "", file)
print("%-25s: %s" % (file_tail, datafile_format))
class Plotterm(ItclObjectx, tk.Frame):
"""
**synopsis**:
Graphical user-interface to plot equation sets.
*Plotterm* is a graphical user-interface to plot the left-hand-side
variables of a set of equations, specified in a text-window in the
panel.
Cartesian, parametric, polar or polar-parametric curves can be specified
and plotted. The equation set and parameters can be saved to a script
which, when invoked, puts up the same *Plotterm* window.
The DeCiDa application *plotter* simply instantiates one
*Plotterm* object.
**constructor arguments**:
**parent** (tk handle)
handle of frame or other widget to pack plot in.
if this is not specified, top-level is created.
**\*\*kwargs** (dict)
configuration-options
**configuration options**:
**verbose** (bool, default=False)
Enable or disable verbose mode
**plot_width** (str, default="5i")
Plot width, specified in Tk inch or pixel units
**plot_height** (str, default="5i")
Plot height, specified in Tk inch or pixel units
**plot_type** (str, default="cartesian")
Plot type: one of "cartesian", "cartesian-parametric",
"polar", or "polar-parametric"
* Cartesian plots: y vs x, require specification
of an x variable to vary, its range,
and a y variable.
* Parametric plots: y(t) vs x(t), require specification
of a parameter variable to vary, its range,
and x and y variables to plot.
* Polar plots: r(a) require specification
of an angle variable to vary, its range, and a radius variable.
x(r,a) and y(r,a) are plotted.
* Polar-parametric plots: r(t), a(t), require specification
of a parameter variable to vary, its range,
and angle and radius variables.
x(r,a) and y(r,a) are plotted.
**sample_type** (str, default="linear")
Sample type: one of "linear", or "logarithmic"
* linear sampling: equally-spaced samples from the minimum
to maximum values of the varied variable or parameter
* logarithmic sampling: the parameter is varied according to
(maximum_value/minimum_value)^(i/(number_of_points - 1)),
for i in range(0, number_of_points)
**xcol** (str) (default="x")
x-axis column (sweep for caresian plots)
**ycol** (str) (default="y")
y-axis column
**acol** (str) (default="a")
angle column (sweep for polar plots)
**rcol** (str) (default="r")
radius column (for polar and polar-parametric plots)
**tcol** (str) (default="t")
parameter column (sweep for cartesian-parametric and
polar-parametric plots)
**npts** (int) (default=1000)
number of sample points
**min** (float) (default=0.0)
minimum of sampling
**max** (float) (default=5.0)
maximum of sampling
**example**: (from test_Plotterm) ::
from decida.Plotterm import Plotterm
Plotterm(ycol="v", xcol="time", equations="v=sin(time*3)")
**public methods**:
* public methods from *ItclObjectx*
"""
_Curves = {
"Hyperbola": ("cartesian", -100, 100, """
# Hyperbola
A=3
y=A/x
"""),
"WitchOfAgnesi": ("cartesian", -100, 100, """
# Witch of Agnesi
A=2
y=A/((x/A)^2 + 1)
"""),
"Serpentine": ("cartesian", -100, 100, """
# Serpentine
A=2; B=3
y=x/((x/A)^2 + B^2)
"""),
"QuatrixOfHippias": ("cartesian", 0.1, 8, """
# Quatrix of Hippias
A=3
y=x/tan(A*x)
"""),
"TridentOfNewton": ("cartesian", -6, 6, """
# Trident of Newton
A=3; B=4; C=5; D=7
y=A/x+B+C*x+D*x*x
"""),
"Polynomial": ("cartesian", -100, 100, """
# Polynomial
A=3; B=4; C=5; D=7
y=A+B*x+C*x^2+D*x^3
"""),
"NormalErrorCurve": ("cartesian", -4, 4, """
# Normal Error Curve
mu=0; sigma=1
y=1/sqrt(2*pi*sigma^2)*exp(-(x-mu)^2/(2*sigma^2))
"""),
"Catenary": ("cartesian", -5, 5, """
# Catenary Curve,
A=2
q=A*x
e=exp(q)
cosh=0.5*(e+1/e)
y=cosh/(2*A)
"""),
"CrossCurve": ("cartesian-parametric", -10, 10, """
# Cross Curve
A=3; B=4
x=A/cos(t)
y=B/sin(t)
"""),
"BulletNose": ("cartesian-parametric", -10, 10, """
# Bullet Nose
A=3
x=A*cos(t)
y=A/tan(t)
"""),
"LemniscateOfBernoulli": ("cartesian-parametric", -3.142, 3.142, """
# Lemniscate of Bernoulli
A=3
x=A*cos(t)/(sin(t)*sin(t)+1)
y=A*sin(t)*cos(t)/(sin(t)*sin(t)+1)
"""),
"LemniscateOfGerono": ("cartesian-parametric", -3.142, 3.142, """
# Lemniscate of Gerono
A=3
x=A*cos(t)
y=A*sin(t)*cos(t)
"""),
"LissajousPattern": ("cartesian-parametric", -3.142, 3.142, """
# Lissajous Pattern
A=3; B=4; C=5; D=6
x=A*sin(t)
y=B*sin(C*t+D)
"""),
"Epitrochoid": ("cartesian-parametric", -3.142, 3.142, """
# Epitrochoid
A=3; B=5; C=7
x=A*(B*cos(t)-C*cos(B*t))
y=A*(B*sin(t)-C*sin(B*t))
"""),
"Hypotrochoid": ("cartesian-parametric", -3.142, 3.142, """
# Hypotrochoid
A=3; B=5; C=7
x=A*(B*cos(t)+C*cos(B*t))
y=A*(B*sin(t)-C*sin(B*t))
"""),
"Trochoid": ("cartesian-parametric", -20, 20, """
# Trochoid
A=3; B=5
x=A*(t-B*sin(t))
y=A*(1-B*cos(t))
"""),
"PedalsOfParabola": ("cartesian-parametric", -1.5, 1.5, """
# Pedals of a Parabola
A=3; B=5
x=A*cos(t)*cos(t)*(tan(t)*tan(t)-B)
y=A*sin(t)*cos(t)*(tan(t)*tan(t)-B)
"""),
"InvoluteOfCircle": ("cartesian-parametric", -20, 20, """
# Involute of a Circle
A=3
x=A*(cos(t)+t*sin(t))
y=A*(sin(t)-t*cos(t))
"""),
"LimaconOfPascal": ("polar", -3.142, 3.142, """
# Limacon of Pascal
A=2; B=0.5
r=A*(cos(a)+B)
"""),
"ConchoidOfNichomedes": ("polar", -3, 3, """
# Conchoid of Nichomedes
A=3; B=5
r=A*(cos(a)+B)/cos(a)
"""),
"KappaCurve": ("polar", -10, 10, """
# Kappa Curve
A=3
r=A/tan(a)
"""),
"KampyleOfEudoxus": ("polar", -1.5, 1.5, """
# Kampyle of Eudoxus
A=3
c=cos(a)
r=A/(c*c)
"""),
"Folium": ("polar", 0, 3.142, """
# Folium
A=3; B=0.3
c=cos(a)
s=sin(a)
r=A*c*(s*s-B)
"""),
"FoliumOfDescartes": ("polar", -0.6, 2.2, """
# Folium of Descartes
A=3
c=cos(a)
s=sin(a)
r=A*c*s/(c^3+s^3)
"""),
"SemiCubicalParabola": ("polar", -1.5, 1.5, """
# Semi-cubical Parabola
A=3
c=cos(a)
q=tan(a)
r=A*q*q/c
"""),
"Cochleoid": ("polar", -100, 100, """
# Cochleoid
A=3
r=A*sin(a)/a
"""),
"Rhodonea": ("polar", -3.142, 3.142, """
# Rhodonea
A=4
r=cos(A*a)
"""),
"NephroidOfFreeth": ("polar-parametric", -3.142, 3.142, """
# Nephroid of Freeth
A=3
a=2*t
r=A*(sin(t)+0.5)
"""),
"CayleysSextic": ("polar-parametric", 0, 3.142, """
# Cayley's Sextic
A=3
a=3*t
q=cos(t)
r=A*(q*q*q)
"""),
"TschirnhausensCubic": ("polar-parametric", -1.5, 1.5, """
# Tschirnhausen's Cubic
A=3
a=3*t
q=cos(t)
r=A/(q*q*q)
"""),
"LogarithmicSpiral": ("polar-parametric", -10, 10, """
# Logarithmic Spiral
A=3; B=7
a=t/B
r=A*exp(t)
"""),
"ArchimedesSpiral": ("polar-parametric", -10, 10, """
# Archimede's Spiral
A=3
a=t
r=A*t
"""),
"HyperbolicSpiral": ("polar-parametric", -10, 10, """
# Hyperbolic Spiral
A=3
a=t
r=A/t
"""),
"EpiSpiral": ("polar-parametric", -1.5, 1.5, """
# Epi Spiral
A=3; B=7
a=t/B
r=A/cos(t)
"""),
"PoinsotsSpiral1": ("polar-parametric", -10, 10, """
# Poinsot's Spiral number 1
A=3; B=7
a=t/B
e=exp(t)
cosh=0.5*(e+1/e)
r=A/cosh
"""),
"PoinsotsSpiral2": ("polar-parametric", -10, 10, """
# Poinsot's Spiral number 2
A=3; B=7
a=t/B
e=exp(t)
sinh=0.5*(e-1/e)
r=A/sinh
"""),
}
#%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
# Plotterm main
#%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
#==========================================================================
# METHOD : __init__
# PURPOSE : constructor
#==========================================================================
def __init__(self, parent=None, use_matplotlib=True, **kwargs):
ItclObjectx.__init__(self)
#----------------------------------------------------------------------
# private variables:
#----------------------------------------------------------------------
self.__parent = parent
self.__use_matplotlib = use_matplotlib
self.__Component = {}
self.__data_obj = None
self.__dataview = None
self.__equations = None
self.__plotter_root = "plot"
#----------------------------------------------------------------------
# configuration options:
#----------------------------------------------------------------------
if sys.platform == "darwin":
plot_width = "8i"
plot_height = "8i"
else:
plot_width = "5i"
plot_height = "5i"
self._add_options({
"verbose": [False, None],
"plot_width": [plot_width, None],
"plot_height": [plot_height, None],
"plot_type": ["cartesian", self._config_plot_type_callback],
"sample_type": ["linear", self._config_sample_type_callback],
"xcol": ["x", self._config_xcol_callback],
"ycol": ["y", self._config_ycol_callback],
"acol": ["theta", self._config_acol_callback],
"rcol": ["r", self._config_rcol_callback],
"tcol": ["t", self._config_tcol_callback],
"npts": [1000, self._config_npts_callback],
"min": [0.0, self._config_min_callback],
"max": [5.0, self._config_max_callback],
})
#----------------------------------------------------------------------
# keyword arguments are *not* all configuration options
#----------------------------------------------------------------------
for key, value in list(kwargs.items()):
if key == "equations":
self.__equations = value
else:
self[key] = value
#----------------------------------------------------------------------
# class variables
#----------------------------------------------------------------------
self.__show_cols = None
self.__swept_col = None
#----------------------------------------------------------------------
# build gui:
#----------------------------------------------------------------------
self.__gui()
#==========================================================================
# METHOD : __del__
# PURPOSE : destructor
#==========================================================================
def __del__(self):
if self.__toplevel:
self.__toplevel.destroy()
else:
self.destroy()
#%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
# Plotterm configuration option callback methods
#%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
#==========================================================================
# METHOD : _config_xcol_callback
# PURPOSE : configure xcol
#==========================================================================
def _config_xcol_callback(self):
self.__entry_enter("xcol")
#==========================================================================
# METHOD : _config_ycol_callback
# PURPOSE : configure ycol
#==========================================================================
def _config_ycol_callback(self):
self.__entry_enter("ycol")
#==========================================================================
# METHOD : _config_acol_callback
# PURPOSE : configure acol
#==========================================================================
def _config_acol_callback(self):
self.__entry_enter("acol")
#==========================================================================
# METHOD : _config_rcol_callback
# PURPOSE : configure rcol
#==========================================================================
def _config_rcol_callback(self):
self.__entry_enter("rcol")
#==========================================================================
# METHOD : _config_tcol_callback
# PURPOSE : configure tcol
#==========================================================================
def _config_tcol_callback(self):
self.__entry_enter("tcol")
#==========================================================================
# METHOD : _config_npts_callback
# PURPOSE : configure npts
#==========================================================================
def _config_npts_callback(self):
self.__entry_enter("npts")
#==========================================================================
# METHOD : _config_min_callback
# PURPOSE : configure min
#==========================================================================
def _config_min_callback(self):
self.__entry_enter("min")
#==========================================================================
# METHOD : _config_max_callback
# PURPOSE : configure max
#==========================================================================
def _config_max_callback(self):
self.__entry_enter("max")
#==========================================================================
# METHOD : _config_plot_type_callback
# PURPOSE : configure plot_type
#==========================================================================
def _config_plot_type_callback(self):
plot_type = self["plot_type"]
plot_types = ("cartesian", "cartesian-parametric", "polar",
"polar-parametric")
if not plot_type in plot_types:
self.fatal("plot_type must be one of: %s" % \
str(plot_types))
if plot_type == "cartesian":
self.__swept_col = "xcol"
self.__show_cols = ("xcol", "ycol")
elif plot_type == "cartesian-parametric":
self.__swept_col = "tcol"
self.__show_cols = ("xcol", "ycol", "tcol")
elif plot_type == "polar":
self.__swept_col = "acol"
self.__show_cols = ("xcol", "ycol", "rcol", "acol")
elif plot_type == "polar-parametric":
self.__swept_col = "tcol"
self.__show_cols = ("xcol", "ycol", "rcol", "acol", "tcol")
if "plot_type_var" in self.__Component:
self.__Component["plot_type_var"].set(plot_type)
for col in ("xcol", "ycol", "acol", "rcol", "tcol"):
ekey = "%s_entry" % (col)
lkey = "%s_label" % (col)
if not ((ekey in self.__Component) and (lkey in self.__Component)):
continue
entry = self.__Component[ekey]
label = self.__Component[lkey]
label_text = label["text"]
label_text = re.sub(" \(swept\) ", "", label_text)
scolor = "white"
lcolor = label["background"]
if col == self.__swept_col:
label_text += " (swept) "
scolor = "antiquewhite1"
if col in self.__show_cols:
entry["state"] = "normal"
entry["background"] = scolor
entry["foreground"] = "black"
label["foreground"] = "black"
label["text"] = label_text
else:
entry["state"] = "disabled"
entry["background"] = lcolor
entry["foreground"] = lcolor
label["background"] = lcolor
label["foreground"] = lcolor
label["text"] = label_text
#==========================================================================
# METHOD : _config_sample_type_callback
# PURPOSE : configure sample_type
#==========================================================================
def _config_sample_type_callback(self):
sample_type = self["sample_type"]
sample_types = ("linear", "logarithmic")
if not sample_type in sample_types:
self.fatal("sample must be one of: %s" % str(sample_types))
if "sample_type_var" in self.__Component:
self.__Component["sample_type_var"].set(sample_type)
#==========================================================================
# METHOD : __entry_enter
# PURPOSE : used by config callbacks for entries
#==========================================================================
def __entry_enter(self, var):
val = self[var]
key = "%s_entry" % (var)
if key in self.__Component:
entry = self.__Component[key]
entry.delete(0, "end")
entry.insert(0, str(val))
#%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
# Plotterm GUI
#%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
#==========================================================================
# METHOD : __gui
# PURPOSE : build graphical user interface
#==========================================================================
def __gui(self):
#----------------------------------------------------------------------
# top-level:
#----------------------------------------------------------------------
if self.__parent is None:
if not tk._default_root:
root = tk.Tk()
root.wm_state("withdrawn")
tk._default_root = root
self.__toplevel = tk.Toplevel()
self.__toplevel.wm_state("withdrawn")
tk.Frame.__init__(self, self.__toplevel, class_="Plotterm")
else:
self.__toplevel = None
tk.Frame.__init__(self, self.__parent, class_="Plotterm")
self.pack(side="top", fill="both", expand=True)
#----------------------------------------------------------------------
# option database:
#----------------------------------------------------------------------
if sys.platform == "darwin":
self.option_add("*Plotterm*Menubutton.width", 10)
self.option_add("*Plotterm*Menubutton.height", 1)
self.option_add("*Plotterm*Label.width", 10)
self.option_add("*Plotterm*Label.anchor", "e")
self.option_add("*Plotterm*Label.relief", "sunken")
self.option_add("*Plotterm*Label.bd", 2)
self.option_add("*Plotterm*Entry.width", 15)
self.option_add("*Plotterm*Checkbutton.width", 12)
self.option_add("*Plotterm*Checkbutton.anchor", "w")
self.option_add("*Plotterm*Checkbutton.bd", 2)
self.option_add("*Plotterm*Checkbutton.relief", "raised")
self.option_add("*Plotterm*Checkbutton.highlightThickness", 0)
self.option_add("*Plotterm*Radiobutton.anchor", "w")
self.option_add("*Plotterm*Radiobutton.highlightThickness", 0)
self.option_add("*Plotterm*Button.highlightThickness", 0)
self.option_add("*Plotterm*Button.width", 10)
self.option_add("*Plotterm*Button.height", 1)
self.option_add("*Plotterm*Entry.font", "Courier 20 normal")
self.option_add("*Plotterm*Text.width", 20)
self.option_add("*Plotterm*Text.height", 8)
self.option_add("*Plotterm*Text.font", "Courier 20 normal")
else:
self.option_add("*Plotterm*Menubutton.width", 10)
self.option_add("*Plotterm*Menubutton.height", 1)
self.option_add("*Plotterm*Label.width", 10)
self.option_add("*Plotterm*Label.anchor", "e")
self.option_add("*Plotterm*Label.relief", "sunken")
self.option_add("*Plotterm*Label.bd", 2)
self.option_add("*Plotterm*Entry.width", 20)
self.option_add("*Plotterm*Checkbutton.width", 12)
self.option_add("*Plotterm*Checkbutton.anchor", "w")
self.option_add("*Plotterm*Checkbutton.bd", 2)
self.option_add("*Plotterm*Checkbutton.relief", "raised")
self.option_add("*Plotterm*Checkbutton.highlightThickness", 0)
self.option_add("*Plotterm*Radiobutton.anchor", "w")
self.option_add("*Plotterm*Radiobutton.highlightThickness", 0)
self.option_add("*Plotterm*Button.highlightThickness", 0)
self.option_add("*Plotterm*Button.width", 10)
self.option_add("*Plotterm*Button.height", 1)
self.option_add("*Plotterm*Entry.font", "Courier 12 normal")
self.option_add("*Plotterm*Text.width", 20)
self.option_add("*Plotterm*Text.height", 8)
self.option_add("*Plotterm*Text.font", "Courier 12 normal")
#----------------------------------------------------------------------
# main layout
#----------------------------------------------------------------------
mbar = tk.Frame(self, relief="sunken", bd=2)
mbar.pack(side="top", expand=False, fill="x", padx=2, pady=2)
fcnt = tk.Frame(self, relief="sunken", bd=2)
fcnt.pack(side="top", expand=False, fill="x", padx=2, pady=2)
fplt = tk.Frame(self, relief="sunken", bd=2, background="blue")
fplt.pack(side="top", expand=True, fill="both", padx=2, pady=2)
cont = tk.Frame(fcnt, relief="flat")
cont.pack(side="left", expand=True, fill="both", padx=2, pady=2)
ftxt = tk.Frame(fcnt, relief="flat", bd=2)
ftxt.pack(side="right", expand=True, fill="both")
tobj = tk.Text(ftxt, relief="sunken", bd=2, height=5)
tobj.pack(side="right", expand=True, fill="both")
main_color = "#1E90FF"
mbar["background"] = main_color
if self.__equations is not None:
tobj.delete(1.0, "end")
tobj.insert(1.0, self.__equations)
self.__Component["plot_frame"] = fplt
self.__Component["text"] = tobj
#----------------------------------------------------------------------
# menu-bar
#----------------------------------------------------------------------
file_mb = tk.Menubutton(mbar, text="File")
file_mb.pack(side="left", padx=5, pady=5)
ptyp_mb = tk.Menubutton(mbar, text="Plot Type")
ptyp_mb.pack(side="left", padx=5, pady=5)
samp_mb = tk.Menubutton(mbar, text="Sample")
samp_mb.pack(side="left", padx=5, pady=5)
curv_mb = tk.Menubutton(mbar, text="Curves")
curv_mb.pack(side="left", padx=5, pady=5)
file_menu = tk.Menu(file_mb)
ptyp_menu = tk.Menu(ptyp_mb)
samp_menu = tk.Menu(samp_mb)
curv_menu = tk.Menu(curv_mb)
file_mb["menu"] = file_menu
ptyp_mb["menu"] = ptyp_menu
samp_mb["menu"] = samp_menu
curv_mb["menu"] = curv_menu
samp_bt = tk.Button(mbar, text="Sample/Plot")
samp_bt.pack(side="left", padx=5, pady=5)
samp_bt["background"] = "red"
samp_bt["foreground"] = "white"
samp_bt["command"] = self.__sample_plot
mblist = [file_mb, ptyp_mb, samp_mb, curv_mb, samp_bt]
#tk_menuBar(mblist)
#----------------------------------------------------------------------
# file menu
#----------------------------------------------------------------------
file_menu.add_command(label="Write Plotterm file",
command=self.__write_plotter)
file_menu.add_command(label="Write Data", command=self.__write_ssv)
file_menu.add_separator()
file_menu.add_command(label="Exit", command=self.__exit_cmd)
#----------------------------------------------------------------------
# plot_type menu
#----------------------------------------------------------------------
var = tk.StringVar()
self.__Component["plot_type_var"] = var
def cmd0(self=self):
self["plot_type"] = "cartesian"
ptyp_menu.add_radiobutton(label="Cartesian",
command=cmd0,
variable=var,
value="cartesian")
def cmd1(self=self):
self["plot_type"] = "cartesian-parametric"
ptyp_menu.add_radiobutton(label="Cartesian-Parametric",
command=cmd1,
variable=var,
value="cartesian-parametric")
def cmd2(self=self):
self["plot_type"] = "polar"
ptyp_menu.add_radiobutton(label="Polar",
command=cmd2,
variable=var,
value="polar")
def cmd3(self=self):
self["plot_type"] = "polar-parametric"
ptyp_menu.add_radiobutton(label="Polar-Parametric",
command=cmd3,
variable=var,
value="polar-parametric")
#----------------------------------------------------------------------
# sample menu
#----------------------------------------------------------------------
var = tk.StringVar()
self.__Component["sample_type_var"] = var
def cmd4(self=self):
self["sample_type"] = "linear"
samp_menu.add_radiobutton(label="Linear Sampling",
command=cmd4,
variable=var,
value="linear")
def cmd5(self=self):
self["sample_type"] = "logarithmic"
samp_menu.add_radiobutton(label="Logarithmic Sampling",
command=cmd5,
variable=var,
value="logarithmic")
#----------------------------------------------------------------------
# curves menu
#----------------------------------------------------------------------
for curve in Plotterm._Curves:
def cmd6(curve=curve):
self.__plot_curve(curve)
curv_menu.add_command(label=curve, command=cmd6)
#----------------------------------------------------------------------
# plot entries
#----------------------------------------------------------------------
def entrybindcmd(event, self=self):
self.__sample_plot(new=False)
def textbindcmd(event, self=self):
self.__sample_plot(new=False)
entry_list = []
for item in (
["xcol", "x column"],
["ycol", "y column"],
["acol", "angle column"],
["rcol", "radius column"],
["tcol", "parameter column"],
["npts", "number of samples"],
["min", "minimum of sweep"],
["max", "maximum of sweep"],
):
var, text = item
val = self[var]
f = tk.Frame(cont, relief="flat")
f.pack(side="top", expand=True, fill="x")
l = tk.Label(f, relief="flat", anchor="w", text=text, width=24)
l.pack(side="left", expand=True, fill="x")
e = tk.Entry(f, relief="sunken", bd=2)
e.pack(side="left", expand=True, fill="x")
self.__Component["%s_label" % (var)] = l
self.__Component["%s_entry" % (var)] = e
e.delete(0, "end")
e.insert(0, str(val))
e.bind("<Control-Key-s>", entrybindcmd)
e.bind("<Return>", entrybindcmd)
entry_list.append(e)
text = self.__Component["text"]
text.bind("<Control-Key-s>", textbindcmd)
entry_emacs_bindings(entry_list)
#----------------------------------------------------------------------
# update / mainloop
#----------------------------------------------------------------------
self._config_plot_type_callback()
self._config_sample_type_callback()
self.update()
if self.__equations is not None:
self.__sample_plot()
if self.__toplevel:
self.__toplevel.geometry("+20+20")
self.__toplevel.wm_state("normal")
self.wait_window()
if self.__toplevel:
self.__toplevel.destroy()
else:
self.destroy()
#%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
# Plotterm GUI construction methods
#%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
#%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
# Plotterm GUI file menu callback methods
#%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
#--------------------------------------------------------------------------
# METHOD : __exit_cmd
# PURPOSE : exit file menu callback
#--------------------------------------------------------------------------
def __exit_cmd(self):
self.quit()
if self.__toplevel:
self.__toplevel.destroy()
else:
self.destroy()
exit()
#--------------------------------------------------------------------------
# METHOD : __write_ssv
# PURPOSE : write data file
#--------------------------------------------------------------------------
def __write_ssv(self, filename=None):
if not filename:
initialfile = "%s.ssv" % (self.__plotter_root)
if sys.platform == "darwin":
filename = tkinter.filedialog.asksaveasfilename(
parent=tk.Frame(self),
title="data file name to save?",
initialfile=initialfile,
initialdir=os.getcwd(),
defaultextension=".col",
)
else:
filename = tkinter.filedialog.asksaveasfilename(
parent=tk.Frame(self),
title="data file name to save?",
initialfile=initialfile,
initialdir=os.getcwd(),
defaultextension=".col",
filetypes=(("space-separated data format files", "*.col"),
("space-separated data format files",
"*.ssv"), ("all files", "*")))
if not filename:
return
self.__plotter_root = os.path.splitext(os.path.basename(filename))[0]
# file/format dialog?
self.__data_obj.write_ssv(filename)
#--------------------------------------------------------------------------
# METHOD : __write_plotter
# PURPOSE : write executable plotter file
#--------------------------------------------------------------------------
def __write_plotter(self, filename=None):
if not filename:
initialfile = "%s.plt" % (self.__plotter_root)
if sys.platform == "darwin":
filename = tkinter.filedialog.asksaveasfilename(
parent=tk.Frame(self),
title="plotter file name to save?",
initialfile=initialfile,
initialdir=os.getcwd(),
defaultextension=".plt",
)
else:
filename = tkinter.filedialog.asksaveasfilename(
parent=tk.Frame(self),
title="plotter file name to save?",
initialfile=initialfile,
initialdir=os.getcwd(),
defaultextension=".plt",
filetypes=(("plotter/python files", "*.plt"),
("plotter/python files", "*.py"), ("all files",
"*")))
if not filename:
return
#-------------------------------
# Plotterm parameters
#-------------------------------
self.__plotter_root = os.path.splitext(os.path.basename(filename))[0]
plot_type = self.__Component["plot_type_var"].get()
sample_type = self.__Component["sample_type_var"].get()
npts = self.__Component["npts_entry"].get()
xmin = self.__Component["min_entry"].get()
xmax = self.__Component["max_entry"].get()
xcol = self.__Component["xcol_entry"].get()
ycol = self.__Component["ycol_entry"].get()
acol = self.__Component["acol_entry"].get()
rcol = self.__Component["rcol_entry"].get()
tcol = self.__Component["tcol_entry"].get()
tobj = self.__Component["text"]
eqns = tobj.get(1.0, "end")
eqns = str(eqns)
#----------------------------------------------------------------------
# write executable plotter file
#----------------------------------------------------------------------
print("writing plot to %s" % (filename))
timestamp = time.time()
datetime = time.asctime(time.localtime(timestamp))
f = open(filename, "w")
f.write("#! /usr/bin/env python\n")
f.write("#" * 72 + "\n")
f.write("# NAME : %s\n" % (filename))
f.write("# CREATED BY : Plotterm\n")
f.write("# DATE : %s\n" % (datetime))
f.write("#" * 72 + "\n")
f.write("import decida\n")
f.write("from decida.Plotterm import Plotterm\n")
f.write("Plotterm(\n")
f.write(" plot_type=\"%s\",\n" % (plot_type))
f.write(" sample_type=\"%s\",\n" % (sample_type))
f.write(" npts=%s,\n" % (npts))
f.write(" min=%s,\n" % (xmin))
f.write(" max=%s,\n" % (xmax))
f.write(" xcol=\"%s\",\n" % (xcol))
f.write(" ycol=\"%s\",\n" % (ycol))
if acol:
f.write(" acol=\"%s\",\n" % (acol))
if rcol:
f.write(" rcol=\"%s\",\n" % (rcol))
if tcol:
f.write(" tcol=\"%s\",\n" % (tcol))
f.write(" equations=\"\"\"\n")
for line in eqns.split("\n"):
line = line.strip()
if line:
f.write(" %s\n" % (line))
f.write(" \"\"\"\n")
f.write(")\n")
f.close()
os.chmod(filename, stat.S_IXUSR | stat.S_IRUSR | stat.S_IWUSR)
#%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
# Plotterm GUI plot callback methods
#%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
#--------------------------------------------------------------------------
# METHOD : __sample
# PURPOSE : sample swept variable
# NOTES :
# * tobj comes out as unicode
#--------------------------------------------------------------------------
def __sample(self):
plot_type = self.__Component["plot_type_var"].get()
sample_type = self.__Component["sample_type_var"].get()
key = "%s_entry" % (self.__swept_col)
sweep = self.__Component[key].get()
npts = int(self.__Component["npts_entry"].get())
xmin = float(self.__Component["min_entry"].get())
xmax = float(self.__Component["max_entry"].get())
mode = sample_type[0:3]
values = decida.range_sample(xmin, xmax, num=npts, mode=mode)
#-------------------------------
# get and preprocess equations
#-------------------------------
tobj = self.__Component["text"]
eqns = tobj.get(1.0, "end")
eqns = str(eqns)
#-------------------------------
# split on newline and semicolon
#-------------------------------
eqnlines = eqns.split("\n")
newlines = []
for eqnline in eqnlines:
sublines = eqnline.split(";")
for subline in sublines:
newlines.append(subline)
eqnlines = newlines
#-----------------------------------
# eliminate comments and blank lines
#-----------------------------------
eqnlist = []
for eqnline in eqnlines:
eqnline = re.sub("#.*$", "", eqnline)
eqnline = eqnline.strip()
if eqnline:
eqnlist.append(eqnline)
#--------------------------------------
# start with new data object, sample x
#--------------------------------------
if self.__data_obj is not None:
del self.__data_obj
self.__data_obj = Data()
self.__data_obj.read_inline(sweep, values)
#--------------------------------------
# evaluate equations
#--------------------------------------
for eqn in eqnlist:
self.__data_obj.set(eqn)
#--------------------------------------
# polar to cartesian
#--------------------------------------
angle = "radians"
if angle == "degrees":
cvt = math.pi / 180.0
else:
cvt = 1.0
if plot_type in ["polar", "polar-parametric"]:
xcol = self.__Component["xcol_entry"].get()
ycol = self.__Component["ycol_entry"].get()
acol = self.__Component["acol_entry"].get()
rcol = self.__Component["rcol_entry"].get()
self.__data_obj.set("%s=%s*cos(%s*%s)" % (xcol, rcol, acol, cvt))
self.__data_obj.set("%s=%s*sin(%s*%s)" % (ycol, rcol, acol, cvt))
#--------------------------------------------------------------------------
# METHOD : __sample_plot
# PURPOSE : generate XY plot
# NOTES :
# ignore new for now
# must defer packing until dataview requests geometry
#--------------------------------------------------------------------------
def __sample_plot(self, new=True):
self.__sample()
xcol = self.__Component["xcol_entry"].get()
ycol = self.__Component["ycol_entry"].get()
if not xcol in self.__data_obj.names():
self.warning("data object does not have (x) column %s" % (xcol))
return
if not ycol in self.__data_obj.names():
self.warning("data object does not have (y) column %s" % (ycol))
return
if new or self.__dataview is None:
if self.__dataview is not None:
# del should have destroyed it
self.__dataview.destroy()
del self.__dataview
fplt = self.__Component["plot_frame"]
fplt.pack_forget()
# dataview command partially implemented
if True:
self.__dataview = DataViewm(
fplt,
use_matplotlib=self.__use_matplotlib,
data=self.__data_obj,
command=[
[
"%s %s" % (xcol, ycol),
"traces=[\"both\"], legend=False"
],
],
plot_height=self["plot_height"])
else:
self.__dataview = XYplotm(
fplt,
use_matplotlib=self.__use_matplotlib,
command=[self.__data_obj,
"%s %s" % (xcol, ycol)],
traces=["both"],
legend=False)
fplt.pack(side="top", expand=True, fill="both", padx=2, pady=2)
self.update()
else:
if True:
xyplot = self.__dataview.current_plot()
else:
xyplot = self.__dataview
curve = "data_%d_:_%s_vs_%s" % (1, ycol, xcol)
xyplot.delete_curve(curve)
xyplot.add_curve(self.__data_obj,
xcol,
ycol,
start=True,
autoscale_x=True,
autoscale_y=True,
strict=False)
#--------------------------------------------------------------------------
# METHOD : __plot_curve
# PURPOSE : plot a pre-defined curve
#--------------------------------------------------------------------------
def __plot_curve(self, curve):
plot_type, xmin, xmax, equations = Plotterm._Curves[curve]
self["sample_type"] = "linear"
self["plot_type"] = plot_type
self["xcol"] = "x"
self["ycol"] = "y"
self["acol"] = "a"
self["rcol"] = "r"
self["tcol"] = "t"
self["min"] = xmin
self["max"] = xmax
#-------------------------------------------
# left-justify the equations for text-window
#-------------------------------------------
lines = equations.split("\n")
newlines = []
for line in lines:
line = line.strip()
if line:
newlines.append(line)
equations = "\n".join(newlines)
#-------------------------------------------
# enter equations and sample/plot
#-------------------------------------------
self.__equations = equations
tobj = self.__Component["text"]
tobj.delete(1.0, "end")
tobj.insert(1.0, self.__equations)
self.__sample_plot()
#!/usr/bin/env python
import decida
import decida.test
from decida.Data import Data
from decida.MessageDialog import MessageDialog
test_dir = decida.test.test_dir()
d = Data()
d.read_ssv(test_dir + "data/lcosc.tr.col")
d.set("ivdd=-ivdd")
xcol = "time"
ycol = "ivdd"
yrms = d.rms(xcol, ycol)
yavg = d.time_average(xcol, ycol)
ymin = d.min(ycol)
ymax = d.max(ycol)
yave = d.mean(ycol)
ymed = d.median(ycol)
yvar = d.var(ycol)
ystd = d.std(ycol)
report = decida.interpolate("""
Signal=$ycol time=$xcol:
RMS $yrms
Time-average $yavg
Minimum $ymin
Maximum $ymax
Median $ymed
Average $yave
Variance $yvar
Standard deviation $ystd
""")
#!/usr/bin/env python import decida import decida.test from decida.Data import Data from decida.XYplotm import XYplotm test_dir = decida.test.test_dir() d = Data() d.read(test_dir + "data/sspice/ascii/dc.raw") XYplotm(None, command=[d, "v(d) i(vd)"])
#!/usr/bin/env python
import decida
import decida.test
from decida.Data import Data
from decida.DataViewm import DataViewm
test_dir = decida.test.test_dir()
d = Data()
d.read(test_dir + "data/lcosc.tr.col")
dx = d.period_time_average("time", "ivdd", trigger="OUT_DIFF")
DataViewm(data=dx, command=[["time avg"]])
d.set_entry(0, zcol, z)
for row in range(1, nrows):
z = numpy.trapz(yvals[0:row + 1], x=xvals[0:row + 1])
d.set_entry(row, zcol, z)
def integ_trap_man(d, zcol, ycol, xcol):
d.set("$zcol = 0.0")
nrows = d.nrows()
z = 0.0
d.set_entry(0, zcol, z)
for row in range(1, nrows):
xl = d.get_entry(row - 1, xcol)
xh = d.get_entry(row, xcol)
yl = d.get_entry(row - 1, ycol)
yh = d.get_entry(row, ycol)
z = z + 0.5 * (yh + yl) * (xh - xl)
d.set_entry(row, zcol, z)
d = Data()
times = decida.range_sample(0.0, 10.0, step=0.1)
d.read_inline("time", times)
freq = 0.25
d.set("y = sin(2*pi*$freq*time)")
d.set("y_integ = (1.0-cos(2*pi*$freq*time))/(2*pi*$freq)")
integ_trap_dcd(d, "y_trap_dcd", "y", "time")
integ_trap_npy(d, "y_trap_npy", "y", "time")
integ_trap_man(d, "y_trap_man", "y", "time")
DataViewm(data=d, command=[["time y_integ y_trap_dcd y_trap_npy y_trap_man"]])
#!/usr/bin/env python import decida import decida.test from decida.Data import Data test_dir = decida.test.test_dir() d = Data() d.read(test_dir + "data/data.csv") d.show() d.row_set(3, [2.1, 3.3]) d.show()
#!/usr/bin/env python
import decida
import decida.test
from decida.Data import Data
from decida.XYplotm import XYplotm
test_dir = decida.test.test_dir()
d = Data()
d.read(test_dir + "data/spars.col")
d.twoport_StoY("Sdd11", "Sdd12", "Sdd21", "Sdd22", "Ydd11", "Ydd12", "Ydd21",
"Ydd22")
d.twoport_YtoZ("Ydd11", "Ydd12", "Ydd21", "Ydd22", "Zdd11", "Zdd12", "Zdd21",
"Zdd22")
d.twoport_YtoH("Ydd11", "Ydd12", "Ydd21", "Ydd22", "Hdd11", "Hdd12", "Hdd21",
"Hdd22")
d.twoport_HtoY("Hdd11", "Hdd12", "Hdd21", "Hdd22", "Yx11", "Yx12", "Yx21",
"Yx22")
d.twoport_ZtoY("Zdd11", "Zdd12", "Zdd21", "Zdd22", "Y11", "Y12", "Y21", "Y22")
d.twoport_YtoS("Y11", "Y12", "Y21", "Y22", "S11", "S12", "S21", "S22")
cmd1 = []
cmd2 = []
for par in (
("Ydd11", "Yx11"),
("Ydd12", "Yx12"),
("Ydd21", "Yx21"),
("Ydd22", "Yx22"),
("Ydd11", "Y11"),
("Ydd12", "Y12"),
("Ydd21", "Y21"),
("Ydd22", "Y22"),
#!/usr/bin/env python import decida import decida.test from decida.Data import Data from decida.XYplotm import XYplotm test_dir = decida.test.test_dir() d = Data() d.read(test_dir + "data/sspice/binary/tr.raw") d.show() xyplot = XYplotm(None, command=[d, "time v(cint) v(osc) v(q_2)"])
#! /usr/bin/env python
import decida
import decida.test
from decida.Data import Data
from decida.XYplotm import XYplotm
from decida.FrameNotebook import FrameNotebook
test_dir = decida.test.test_dir()
fn = FrameNotebook(tab_location="right")
d = Data()
d.read_nutmeg(test_dir + "data/NGspice/binary/tr.raw")
d.edit()
XYplotm(fn.new_page("(mat)bin_tr"),
command=[d, "time v(c) v(x) v(z)"],
title="TR analysis",
ymin=-10,
ymax=20)
XYplotm(fn.new_page("(xmat)bin_tr"),
command=[d, "time v(c) v(x) v(z)"],
title="TR analysis",
ymin=-10,
ymax=20,
use_matplotlib=False)
d.read_nutmeg(test_dir + "data/NGspice/binary/dc.raw")
d.edit()
d.set("i(vd) = -i(vd)")
XYplotm(fn.new_page("(mat)asc_dc"),
command=[d, "v(d) i(vd)"],
#! /usr/bin/env python
import decida
import decida.test
from decida.Data import Data
from decida.XYplotm import XYplotm
from decida.FrameNotebook import FrameNotebook
test_dir = decida.test.test_dir()
fn = FrameNotebook()
d = Data(verbose=False)
d.read_hspice(test_dir + "data/hspice/binary/tr.tr0")
XYplotm(fn.new_page("bin_tr"), command=[d, "TIME v(1) v(2)"])
d.read_hspice(test_dir + "data/hspice/binary/tr2.tr0")
XYplotm(fn.new_page("bin_tr2"), command=[d, "TIME v(1) v(2) v(3) v(4) v(5)"])
d.read_hspice(test_dir + "data/hspice/binary/ac.ac0")
XYplotm(fn.new_page("bin_ac"), command=[d, "HERTZ DB(v(2))"], xaxis="log")
d.read_hspice(test_dir + "data/hspice/ascii/tr.tr0")
XYplotm(fn.new_page("asc_tr"), command=[d, "TIME v(1) v(2)"])
d.read_hspice(test_dir + "data/hspice/ascii/tr2.tr0")
XYplotm(fn.new_page("asc_tr2"), command=[d, "TIME v(1) v(2) v(3) v(4) v(5)"])
d.read_hspice(test_dir + "data/hspice/ascii/ac.ac0")
XYplotm(fn.new_page("asc_ac"), command=[d, "HERTZ DB(v(2))"], xaxis="log")
fn.wait()
#!/usr/bin/env python import decida import decida.test from decida.Data import Data from decida.SmithChartx import SmithChartx test_dir = decida.test.test_dir() d = Data() d.read_sspar(test_dir + "data/port2.data") SmithChartx(None, command=[d, "freq REAL(s33) IMAG(s33) REAL(s22) IMAG(s22) REAL(s11) IMAG(s11)"], symbols=["dot"])
