def tb_markers():
tb = "Markers"
VStartMarker = np.array([[0, 0], [0.5, 0.5], [0, -0.5], [-0.5, 0.5],
[0, 0]])
XEndMarker = np.array([[0, 0], [0.5, 0.5], [0.25, 0], [0.5, -0.5], [0, 0],
[-0.5, -0.5], [-0.25, 0], [-0.5, 0.5], [0, 0]])
fig = pp.figure(figsize=(4 * figsize, 2 * figsize))
fig.set_tight_layout(True)
i = 0
for hackline, startmarker, endmarker, rotate_marker in [
[False, None, None, False], [True, "s", "^", False],
[True, "s", None, False], [True, VStartMarker, XEndMarker, False],
[True, "s", "^", True], [True, None, "^", False]
]:
i += 1
ax = pp.subplot(2,
3,
i,
projection="smith",
plot_marker_hack=hackline,
plot_marker_rotate=rotate_marker)
SmithAxes.update_scParams(instance=ax,
plot_marker_start=startmarker,
plot_marker_end=endmarker)
def ptype(x):
if isinstance(x, np.ndarray):
return "custom"
elif x is True:
return "on"
elif x is False:
return "off"
elif x is None:
return None
else:
return "'%s'" % x
plot_example(
tb,
"HackLines: %s - StartMarker: %s\nEndMarker: %s - Rotate: %s" %
tuple(map(ptype,
[hackline, startmarker, endmarker, rotate_marker])),
markersize=10)
savefig(tb)
def tb_markers():
tb = "Markers"
VStartMarker = np.array([[0, 0], [0.5, 0.5], [0, -0.5], [-0.5, 0.5], [0, 0]])
XEndMarker = np.array([[0, 0], [0.5, 0.5], [0.25, 0], [0.5, -0.5], [0, 0], [-0.5, -0.5], [-0.25, 0], [-0.5, 0.5], [0, 0]])
fig = pp.figure(figsize=(4 * figsize, 2 * figsize))
fig.set_tight_layout(True)
i = 0
for hackline, startmarker, endmarker, rotate_marker in [[False, None, None, False],
[True, "s", "^", False],
[True, "s", None, False],
[True, VStartMarker, XEndMarker, False],
[True, "s", "^", True],
[True, None, "^", False]]:
i += 1
ax = pp.subplot(2, 3, i, projection="smith",
plot_marker_hack=hackline,
plot_marker_rotate=rotate_marker)
SmithAxes.update_scParams(instance=ax, plot_marker_start=startmarker,
plot_marker_end=endmarker)
def ptype(x):
if isinstance(x, np.ndarray):
return "custom"
elif x is True:
return "on"
elif x is False:
return "off"
elif x is None:
return None
else:
return "'%s'" % x
plot_example(tb, "HackLines: %s - StartMarker: %s\nEndMarker: %s - Rotate: %s" % tuple(map(ptype, [hackline, startmarker, endmarker, rotate_marker])), markersize=10)
savefig(tb)
from smithplot import smithhelper
rcParams.update({"legend.numpoints": 3,
"axes.axisbelow": True})
# sample data
steps = 40
data = np.loadtxt("data/s11.csv", delimiter=",", skiprows=1)[::steps]
sp_data = data[:, 1] + data[:, 2] * 1j
data = np.loadtxt("data/s22.csv", delimiter=",", skiprows=1)[::steps]
z_data = 50 * (data[:, 1] + data[:, 2] * 1j)
# default params
SmithAxes.update_scParams({"plot.marker.hack": False,
"plot.marker.rotate": False,
"grid.minor.enable": False,
"grid.minor.fancy": False})
FT = [False, True]
figsize = 6
ExportFormats = ["pdf", "png"]
def plot_example(testbench, title, scale=50, **kwargs):
print("Testbench '%s' : %s" % (testbench, title.replace("\n", "")))
kwargs.setdefault("markevery", 1)
pp.plot(smithhelper.moebius_inv_z(sp_data, norm=50), datatype="Z", **kwargs)
pp.plot(z_data, datatype="Z", **kwargs)
pp.plot(100, datatype="Z", **kwargs)
pp.plot(25 + 25j, datatype="Z", **kwargs)
pp.title(title)
from smithplot import smithhelper
rcParams.update({"legend.numpoints": 3, "axes.axisbelow": True})
# sample data
steps = 40
data = np.loadtxt("data/s11.csv", delimiter=",", skiprows=1)[::steps]
sp_data = data[:, 1] + data[:, 2] * 1j
data = np.loadtxt("data/s22.csv", delimiter=",", skiprows=1)[::steps]
z_data = 50 * (data[:, 1] + data[:, 2] * 1j)
# default params
SmithAxes.update_scParams({
"plot.marker.hack": False,
"plot.marker.rotate": False,
"grid.minor.enable": False,
"grid.minor.fancy": False
})
FT = [False, True]
figsize = 6
ExportFormats = ["pdf", "png"]
def plot_example(testbench, title, scale=50, **kwargs):
print("Testbench '%s' : %s" % (testbench, title.replace("\n", "")))
kwargs.setdefault("markevery", 1)
pp.plot(smithhelper.moebius_inv_z(sp_data, norm=50),
datatype="Z",
**kwargs)
pp.plot(z_data, datatype="Z", **kwargs)