def main_no_copybuf(data_file):
s = Sequence(
ReadData(),
Split(
[
(
lambda vec: vec[0],
Histogram(mesh((-10, 10), 10)),
MakeFilename("x"),
),
(
lambda vec: vec[1],
Histogram(mesh((-10, 10), 10)),
MakeFilename("y"),
),
(
lambda vec: vec[2],
Histogram(mesh((-10, 10), 10)),
MakeFilename("z"),
),
],
copy_buf=False,
),
MakeFilename("{{variable.name}}"),
ToCSV(),
)
results = s.run([data_file])
for res in results:
print(res)
def main_copybuf(data_file):
write = Write("output")
s = Sequence(
ReadData(),
Split([
(
Variable("x", lambda vec: vec[0]),
Histogram(mesh((-10, 10), 10)),
),
(
Variable("y", lambda vec: vec[1]),
Histogram(mesh((-10, 10), 10)),
),
(
Variable("z", lambda vec: vec[2]),
Histogram(mesh((-10, 10), 10)),
),
]),
MakeFilename("{{variable.name}}"),
ToCSV(),
# write,
# RenderLaTeX("histogram_1d.tex", "templates"),
# write,
# LaTeXToPDF(),
# PDFToPNG(),
)
results = s.run([data_file])
for res in results:
print(res)
def main():
data_file = os.path.join("..", "data", "normal_3d.csv")
s = Sequence(
ReadData(),
Split([
(
lambda vec: vec[0],
Histogram(mesh((-10, 10), 10)),
ToCSV(),
Print(),
Write("output", "x"),
),
(
lambda vec: vec[1],
Histogram(mesh((-10, 10), 10)),
ToCSV(),
Write("output", "y"),
),
# (
# lambda vec: vec[2],
# Histogram(mesh((-10, 10), 10)),
# ToCSV(),
# Write("output", ("z", "csv")),
# ),
]),
RenderLaTeX("histogram_1d.tex", "templates"),
Write("output"),
LaTeXToPDF(),
PDFToPNG(),
)
results = s.run([data_file])
for res in results:
print(res)
def main():
data_file = os.path.join("..", "data", "normal_3d.csv")
write = Write("output")
s = Sequence(
ReadData(),
Split([
(
Variable("x", lambda vec: vec[0]),
Histogram(mesh((-10, 10), 10)),
),
(
Variable("y", lambda vec: vec[1]),
Histogram(mesh((-10, 10), 10)),
),
(
Variable("z", lambda vec: vec[2]),
Histogram(mesh((-10, 10), 10)),
),
]),
MakeFilename("{{variable.name}}"),
ToCSV(),
write,
RenderLaTeX("histogram_1d.tex", "templates"),
write,
LaTeXToPDF(),
PDFToPNG(),
)
results = s.run([data_file])
for res in results:
print(res)
def main():
data_file = os.path.join("..", "data", "normal_3d.csv")
s = Sequence(
ReadData(),
lambda dt: (dt[0][0], dt[1]),
Histogram(mesh((-10, 10), 10)),
ToCSV(),
MakeFilename("x"),
Write("output"),
RenderLaTeX("histogram_1d.tex"),
Write("output"),
LaTeXToPDF(),
PDFToPNG(),
)
results = s.run([data_file])
print(list(results))
def main():
data_file = os.path.join("..", "data", "double_ev.csv")
write = Write("output")
s = Sequence(
ReadDoubleEvents(),
Split(coordinates_1d + [(
particle,
Combine(x, y, name="xy"),
Histogram(mesh(((-10, 10), (-10, 10)), (10, 10))),
MakeFilename("{{variable.particle}}/{{variable.name}}"),
) for particle in (positron, neutron)]),
MakeFilename("{{variable.particle}}/{{variable.coordinate}}"),
ToCSV(),
write,
RenderLaTeX(select_template, template_dir="templates"),
write,
LaTeXToPDF(),
PDFToPNG(),
)
results = s.run([data_file])
for res in results:
print(res)
unit="cm",
type="coordinate")
y = Variable("y",
lambda vec: vec[1],
latex_name="y",
unit="cm",
type="coordinate")
z = Variable("z",
lambda vec: vec[2],
latex_name="z",
unit="cm",
type="coordinate")
coordinates_1d = [(
coordinate,
Histogram(mesh((-10, 10), 10)),
) for coordinate in [
Compose(particle, coord) for coord in (x, y, z)
for particle in (positron, neutron)
]]
def select_template(val):
data, context = lena.flow.get_data_context(val)
if lena.context.get_recursively(context, "histogram.dim", None) == 2:
return "histogram_2d.tex"
else:
return "histogram_1d.tex"
def main():