<jupyter_start><jupyter_text>Update Sigmoid vs tilting  Constant fault zone<jupyter_code>FolderSigmoidPath = "/home/nico/Documents/TEAR/Codes_TEAR/PythonCodes/[SSC]Sigmoid/ProcessedData/"


ListOfFileNames = ["20210204-T4-50x50-P1-100.05",
                   "20210216-T4-25x25-P3-100.03"]

Delta2 = ListOfFileNames
SigmoidFiles2 = [LoadPickleFile(FolderSigmoidPath, fname) for fname in Delta2]

fig, axis = GenericFigAxis()

# Sigmoid case plotting
for iidx,SFile in enumerate(SigmoidFiles2):
    print(SFile)
    for Test1 in SFile:
        axis[0].plot(Test1.Time, Test1.Slip, color= cmap.colors[iidx],linewidth=2,zorder=iidx)
        axis[1].plot(Test1.Time, Test1.SlipRate, color= cmap.colors[iidx],linewidth=2,zorder=iidx) 
        


LabelsPerColor= ["50x50-P1-$\delta_f$:2.001", "25x25-P1-$\delta_f$:4.001"]

Multi_format_axes(fig, cmap, LabelsPerColor)
fig.suptitle("P1 - No blending - $\delta: 100.$")
[item.PlotReference(axis[0], "Slip", filtering=False) for item in RefList]
[item.PlotReference(axis[1], "SlipRate", filtering=False) for item in RefList]

from palettable.scientific.sequential import Oslo_5

cmap = ListedColormap(Oslo_5.mpl_colors[:])

FolderSigmoidPath = "/home/nico/Documents/TEAR/Codes_TEAR/PythonCodes/[SSC]Sigmoid/ProcessedData/"


ListOfFileNames = ["20210218-T1-25x25-P3-37.525",
                   "20210218-T2-25x25-P3-50.025",
                   "20210218-T4-25x25-P3-62.525",
                   "20210218-T6-25x25-P3-75.02499999999999"]

Delta2 = ListOfFileNames
SigmoidFiles2 = [LoadPickleFile(FolderSigmoidPath, fname) for fname in Delta2]

fig, axis = GenericFigAxis()

# Sigmoid case plotting
for iidx,SFile in enumerate(SigmoidFiles2):
    print(SFile)
    for Test1 in SFile:
        axis[0].plot(Test1.Time, Test1.Slip, color= cmap.colors[iidx],linewidth=2,zorder=iidx)
        axis[1].plot(Test1.Time, Test1.SlipRate, color= cmap.colors[iidx],linewidth=2,zorder=iidx) 
        


LabelsPerColor= ["$\delta_f$:1.501","$\delta_f$:2.001","$\delta_f$:2.501","$\delta_f$:3.001"]

Multi_format_axes(fig, cmap, LabelsPerColor)
fig.suptitle("P1 - No blending - 25x25, ")
[item.PlotReference(axis[0], "Slip", filtering=False) for item in RefList]
[item.PlotReference(axis[1], "SlipRate", filtering=False) for item in RefList]

FolderSigmoidPath = "/home/nico/Documents/TEAR/Codes_TEAR/PythonCodes/[SSC]Sigmoid/ProcessedData/"


ListOfFileNames = ["20210218-T1-25x25-P3-37.525",
                   "20210218-T2-25x25-P3-50.025",
                   "20210218-T4-25x25-P3-62.525"]

Delta2 = ListOfFileNames
SigmoidFiles2 = [LoadPickleFile(FolderSigmoidPath, fname) for fname in Delta2]

fig, axis = GenericFigAxis()

# Sigmoid case plotting
for iidx,SFile in enumerate(SigmoidFiles2):
    print(SFile)
    for Test1 in SFile:
        axis[0].plot(Test1.Time, Test1.Slip, color= cmap.colors[iidx],linewidth=2,zorder=iidx)
        axis[1].plot(Test1.Time, Test1.SlipRate, color= cmap.colors[iidx],linewidth=2,zorder=iidx) 
        


LabelsPerColor= ["$\delta_f$:1.501","$\delta_f$:2.001","$\delta_f$:2.501"]

Multi_format_axes(fig, cmap, LabelsPerColor)
fig.suptitle("P1 - No blending - 25x25, ")
[item.PlotReference(axis[0], "Slip", filtering=False) for item in RefList]
[item.PlotReference(axis[1], "SlipRate", filtering=False) for item in RefList]<jupyter_output>[FaultData Object, distance 2000 - half thickness 37.525, FaultData Object, distance 4000 - half thickness 37.525, FaultData Object, distance 6000 - half thickness 37.525, FaultData Object, distance 8000 - half thickness 37.525]
[FaultData Object, distance 2000 - half thickness 50.025, FaultData Object, distance 4000 - half thickness 50.025, FaultData Object, distance 6000 - half thickness 50.025, FaultData Object, distance 8000 - half thickness 50.025]
[FaultData Object, distance 2000 - half thickness 62.525, FaultData Object, distance 4000 - half thickness 62.525, FaultData Object, distance 6000 - half thickness 62.525, FaultData Object, distance 8000 - half thickness 62.525]
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