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CalcAllFlaresThread: set proper plot description sizes

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SGCMarkus
2025-05-31 16:54:26 +02:00
parent c36c227e11
commit b6c194cb6e
2 changed files with 21 additions and 9 deletions
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main/astrodatagui/CalcAllFlaresThread.py
+19 -7
View File
@@ -15,6 +15,18 @@ from errno import EEXIST
from os import makedirs, path
from datetime import datetime
SMALL_SIZE = 16
MEDIUM_SIZE = 18
BIGGER_SIZE = 20
plt.rc('font', size=SMALL_SIZE) # controls default text sizes
plt.rc('axes', titlesize=MEDIUM_SIZE) # fontsize of the axes title
plt.rc('axes', labelsize=MEDIUM_SIZE) # fontsize of the x and y labels
plt.rc('xtick', labelsize=SMALL_SIZE) # fontsize of the tick labels
plt.rc('ytick', labelsize=SMALL_SIZE) # fontsize of the tick labels
plt.rc('legend', fontsize=SMALL_SIZE) # legend fontsize
plt.rc('figure', titlesize=BIGGER_SIZE) # fontsize of the figure title
def mkdir_p(mypath):
'''Creates a directory. equivalent to using mkdir -p on the command line'''
@@ -48,13 +60,13 @@ def getFlareCount(filesDict):
lc.plot()
plt.title(f"{starName} - normalized lightcurve")
plt.savefig(f"{starFolder}/{starNameR}_{source}-{sequence}-lc.png")
plt.savefig(f"{starFolder}/{starNameR}_{source}-{sequence}-lc.png", bbox_inches="tight")
plt.close()
flattenedLc = lc.flatten()
flattenedLc.plot()
plt.title(f"{starName} - flattened lightcurve")
plt.savefig(f"{starFolder}/{starNameR}_{source}-{sequence}-flattened_lc.png")
plt.savefig(f"{starFolder}/{starNameR}_{source}-{sequence}-flattened_lc.png", bbox_inches="tight")
plt.close()
pdcsapPeaks, pdcsapFits = calculateFlareFitsForLightcurve(flattenedLc, normalizedLC=lc)
@@ -64,7 +76,7 @@ def getFlareCount(filesDict):
plt.plot(p["FlarePeakTime"].value, lc.flux[p["StandardIndex"]], "x", color="red")
plt.plot([], [], "x", color="red", label="Flare peaks")
plt.legend()
plt.savefig(f"{starFolder}/{starNameR}_{source}-{sequence}-lc-marked_flares.png")
plt.savefig(f"{starFolder}/{starNameR}_{source}-{sequence}-lc-marked_flares.png", bbox_inches="tight")
plt.close()
flattenedLc.plot()
@@ -76,7 +88,7 @@ def getFlareCount(filesDict):
plt.plot(p["FlarePeakTime"].value, p["FlarePeak"], "x", color="red")
plt.plot([], [], "x", color="red", label="Flare peaks")
plt.legend()
plt.savefig(f"{starFolder}/{starNameR}_{source}-{sequence}-flattened_lc-marked_flares.png")
plt.savefig(f"{starFolder}/{starNameR}_{source}-{sequence}-flattened_lc-marked_flares.png", bbox_inches="tight")
plt.close()
pdcsapValSec, pdcsapTds = getTotalValidDataInSeconds(lc, "pdcsap_flux")
@@ -86,7 +98,7 @@ def getFlareCount(filesDict):
pdcsapPeriodogram.plot(view="period")
plt.plot(pdcsapPeakPeriod, pdcsapPeriodogram.power[maxPeriodIndex], "x", color="red")
plt.savefig(f"{starFolder}/{starNameR}_{source}-{sequence}-periodogram-marked_max.png")
plt.savefig(f"{starFolder}/{starNameR}_{source}-{sequence}-periodogram-marked_max.png", bbox_inches="tight")
plt.close()
#pdcsapEpochTime = getEpochTime(lc)
@@ -108,7 +120,7 @@ def getFlareCount(filesDict):
optimizedFit["foldedLC"].flux[optimizedFit["foldedLC"].cycle == cycle][foldedIndex], "x", color="red")
plt.plot([], [], "x", color="red", label="Flare peaks")
plt.legend()
plt.savefig(f"{starFolder}/{starNameR}_{source}-{sequence}-foldedLC-marked_fit_flares.png")
plt.savefig(f"{starFolder}/{starNameR}_{source}-{sequence}-foldedLC-marked_fit_flares.png", bbox_inches="tight")
plt.close()
if(optimizedFit["periodFoldedLC"] is not None):
@@ -123,7 +135,7 @@ def getFlareCount(filesDict):
optimizedFit["periodFoldedLC"].flux[optimizedFit["periodFoldedLC"].cycle == cycle][foldedIndex], "x", color="red")
plt.plot([], [], "x", color="red", label="Flare peaks")
plt.legend()
plt.savefig(f"{starFolder}/{starNameR}_{source}-{sequence}-periodFoldedLC-marked_fit_flares.png")
plt.savefig(f"{starFolder}/{starNameR}_{source}-{sequence}-periodFoldedLC-marked_fit_flares.png", bbox_inches="tight")
plt.close()
filesDict["pdcsapPeaks"] = pdcsapPeaks
main/astrodatagui/ui/FlaredetectorWidget.py
+2 -2
View File
@@ -301,8 +301,8 @@ class FlaredetectorWidget(QtWidgets.QWidget):
phase, sineFit, _ = getFoldedBestFit(lc, fitType=self.foldedFitType)
self.figureAxis.plot(phase, sineFit, color="red")
print(phase, sineFit)
minPhasesBoundsIndices, maxPhasesBoundsIndices = getPhaseRangesNearPeak(getFoldedFitPeakValley(sineFit), phase)
plotPhaseRangesNearPeak((minPhasesBoundsIndices, maxPhasesBoundsIndices), phase, ax=self.figureAxis)
#minPhasesBoundsIndices, maxPhasesBoundsIndices = getPhaseRangesNearPeak(getFoldedFitPeakValley(sineFit), phase)
#plotPhaseRangesNearPeak((minPhasesBoundsIndices, maxPhasesBoundsIndices), phase, ax=self.figureAxis)
except Exception as e:
print("Failed to get fit")
print(e)