continue
fi = args.f.rstrip('/') + '/' + f
# READ INPUT DATA FILE
# --------------------
this_run_time, this_run_x, this_run_y, this_run_d, this_run_d_err, this_run_t, this_run_h = read_data_file(fi, args.de, args.w)
# CORRECT FOR NONLINEAR MOTION OF STAGES
# --------------------------------------
if args.nc:
this_run_x, this_run_y = correct_stage_positions(F_CALX, F_CALY, this_run_x, this_run_y)
# CORRECT FOR TEMPERATURE EXCURSIONS
# ----------------------------------
if args.nt:
this_run_d = correct_for_temperature(F_CORT, this_run_d, this_run_t)
TIME.append(np.asarray(this_run_time))
x.append(np.mean(this_run_x))
y.append(np.mean(this_run_y))
d.append(np.mean(this_run_d))
t.append(np.asarray(this_run_t))
h.append(np.asarray(this_run_h))
print
else:
print "using file " + args.f
# READ INPUT DATA FILE
# --------------------
this_run_time, this_run_x, this_run_y, this_run_d, this_run_d_err, this_run_t, this_run_h = read_data_file(args.f, args.de, args.w)
# CORRECT FOR NONLINEAR MOTION OF STAGES
print "ignoring file"
continue
fi = args.f.rstrip('/') + '/' + f
# READ INPUT DATA FILE
# --------------------
this_time, x, y, d, d_err, t, h = read_data_file(fi, args.de, args.w)
# CORRECT FOR NONLINEAR MOTION OF STAGES
# --------------------------------------
if args.nc:
x, y = correct_stage_positions(F_CALX, F_CALY, x, y)
# CORRECT FOR TEMPERATURE EXCURSIONS
# ----------------------------------
if args.nt:
d = correct_for_temperature(F_CORT, d, t)
run_data_x.append(np.mean(x))
run_data_y.append(np.mean(y))
run_data_d.append(np.mean(d))
run_data_d_err.append(np.mean(d_err))
print
with open("flat.dat", 'w') as out:
for i in range(len(run_data_x)):
if not np.isnan(run_data_x[i]):
out.write(
str(round(run_data_x[i], 2)) + '\t' +
str(round(run_data_y[i], 2)) + '\t' +
str(round(run_data_d[i], 2)) + '\t' +
str(round(run_data_d_err[i], 2)) + '\n')
# READ INPUT DATA FILE
# --------------------
this_run_time, this_run_x, this_run_y, this_run_d, this_run_d_err, this_run_t, this_run_h = read_data_file(
fi, args.de, args.w)
# CORRECT FOR NONLINEAR MOTION OF STAGES
# --------------------------------------
if args.nc:
this_run_x, this_run_y = correct_stage_positions(
F_CALX, F_CALY, this_run_x, this_run_y)
# CORRECT FOR TEMPERATURE EXCURSIONS
# ----------------------------------
if args.nt:
this_run_d = correct_for_temperature(F_CORT, this_run_d,
this_run_t)
TIME.append(np.asarray(this_run_time))
x.append(np.mean(this_run_x))
y.append(np.mean(this_run_y))
d.append(np.mean(this_run_d))
t.append(np.asarray(this_run_t))
h.append(np.asarray(this_run_h))
print
else:
print "using file " + args.f
# READ INPUT DATA FILE
# --------------------
this_run_time, this_run_x, this_run_y, this_run_d, this_run_d_err, this_run_t, this_run_h = read_data_file(
args.f, args.de, args.w)
print "ignoring file"
continue
fi = args.f.rstrip('/') + '/' + f
# READ INPUT DATA FILE
# --------------------
this_time, x, y, d, d_err, t, h = read_data_file(fi, args.de, args.w)
# CORRECT FOR NONLINEAR MOTION OF STAGES
# --------------------------------------
if args.nc:
x, y = correct_stage_positions(F_CALX, F_CALY, x, y)
# CORRECT FOR TEMPERATURE EXCURSIONS
# ----------------------------------
if args.nt:
d = correct_for_temperature(F_CORT, d, t)
run_data_x.append(np.mean(x))
run_data_y.append(np.mean(y))
run_data_d.append(np.mean(d))
run_data_d_err.append(np.mean(d_err))
print
with open("flat.dat", 'w') as out:
for i in range(len(run_data_x)):
if not np.isnan(run_data_x[i]):
out.write(str(round(run_data_x[i], 2)) + '\t' + str(round(run_data_y[i], 2)) + '\t' + str(round(run_data_d[i], 2)) + '\t' + str(round(run_data_d_err[i], 2)) + '\n')
if args.p:
plt.scatter(run_data_x, run_data_y, c=run_data_d, s=50, linewidth=0, marker='s', cmap="autumn")
plt.colorbar()
