Skip to content

DOC: Modernize and fix example script #153

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
taldcroft merged 1 commit into from
Mar 27, 2026
Merged

DOC: Modernize and fix example script #153

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
56 changes: 31 additions & 25 deletions examples/dpa/plot_dpa_resid.py
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,17 +1,19 @@
# Licensed under a 3-clause BSD style license - see LICENSE.rst
import xija
import numpy as np
import matplotlib.pyplot as plt
from Ska.Matplotlib import pointpair
import numpy as np
from ska_matplotlib import pointpair

start = '2010:001'
stop = '2011:345'
import xija
from xija.get_model_spec import get_xija_model_spec

start = "2025:001"
stop = "2025:030"

msid = '1dpamzt'
model_spec = 'dpa.json'
msid = "1dpamzt"
model_spec, _ = get_xija_model_spec("dpa")

model = xija.ThermalModel('dpa', start=start, stop=stop,
model_spec=model_spec)
model = xija.ThermalModel("dpa", start=start, stop=stop, model_spec=model_spec)
model.comp["dpa0"].set_data(0.0)
model.make()
model.calc()

Expand All @@ -21,17 +23,17 @@
xscatter = np.random.uniform(-0.2, 0.2, size=len(dpa.dvals))
yscatter = np.random.uniform(-0.2, 0.2, size=len(dpa.dvals))
plt.clf()
plt.plot(dpa.dvals + xscatter, resid + yscatter, '.', ms=1.0, alpha=1)
plt.xlabel('{} telemetry (degC)'.format(msid.upper()))
plt.ylabel('Data - Model (degC)')
plt.title('Residual vs. Data ({} - {})'.format(start, stop))
plt.plot(dpa.dvals + xscatter, resid + yscatter, ".", ms=1.0, alpha=1)
plt.xlabel("{} telemetry (degC)".format(msid.upper()))
plt.ylabel("Data - Model (degC)")
plt.title("Residual vs. Data ({} - {})".format(start, stop))

bins = np.arange(6, 26.1, 2.0)
bins = np.arange(10, 35, 2.0)
r1 = []
r99 = []
ns = []
xs = []
for x0, x1 in zip(bins[:-1], bins[1:]):
for x0, x1 in zip(bins[:-1], bins[1:], strict=True):
ok = (dpa.dvals >= x0) & (dpa.dvals < x1)
val1, val99 = np.percentile(resid[ok], [1, 99])
xs.append((x0 + x1) / 2)
Expand All @@ -43,18 +45,22 @@
r1pp = pointpair(r1)
r99pp = pointpair(r99)

plt.plot(xspp, r1pp, '-r')
plt.plot(xspp, r99pp, '-r', label='1% and 99% limits')
plt.plot(xspp, r1pp, "-r")
plt.plot(xspp, r99pp, "-r", label="1% and 99% limits")
plt.grid()
plt.ylim(-8, 14)
plt.xlim(5, 31)

plt.plot([5, 31], [3.5, 3.5], 'g--', alpha=1, label='+/- 3.5 degC')
plt.plot([5, 31], [-3.5, -3.5], 'g--', alpha=1)
for x, n, y in zip(xs, ns, r99):
plt.text(x, max(y + 1, 5), 'N={}'.format(n),
rotation='vertical', va='bottom', ha='center')

plt.legend(loc='upper right')
plt.plot([5, 31], [3.5, 3.5], "g--", alpha=1, label="+/- 3.5 degC")
plt.plot([5, 31], [-3.5, -3.5], "g--", alpha=1)
for x, n, y in zip(xs, ns, r99, strict=True):
plt.text(
x,
max(y + 1, 5),
"N={}".format(n),
rotation="vertical",
va="bottom",
ha="center",
)

plt.savefig('dpa_resid_{}_{}.png'.format(start, stop))
plt.legend(loc="upper right")
Loading