adjustements to pdf static output

This commit is contained in:
2024-09-25 17:36:05 +02:00
parent 8df2fcce63
commit f84898a9b4
3 changed files with 148 additions and 129 deletions

View File

@@ -60,7 +60,10 @@ from mpl_toolkits.axes_grid1.anchored_artists import (
)
from scipy.ndimage import zoom as sc_zoom
from .utils import PCconf, princ_angle, rot2D, sci_not
try:
from .utils import PCconf, princ_angle, rot2D, sci_not
except ImportError:
from utils import PCconf, princ_angle, rot2D, sci_not
def plot_obs(data_array, headers, rectangle=None, savename=None, plots_folder="", **kwargs):
@@ -205,7 +208,6 @@ def plot_Stokes(Stokes, savename=None, plots_folder=""):
else:
savename = savename[:-4] + "_IQU" + savename[-4:]
fig.savefig(path_join(plots_folder, savename), bbox_inches="tight", dpi=150, facecolor="None")
plt.show()
return 0
@@ -562,7 +564,7 @@ def polarization_map(
if savename is not None:
if savename[-4:] not in [".png", ".jpg", ".pdf"]:
savename += ".pdf"
fig.savefig(path_join(plots_folder, savename), bbox_inches="tight", dpi=150, facecolor="None")
fig.savefig(path_join(plots_folder, savename), bbox_inches="tight", dpi=300, facecolor="None")
return fig, ax
@@ -3353,132 +3355,149 @@ if __name__ == "__main__":
parser.add_argument(
"-pdf", "--static-pdf", metavar="static_pdf", required=False, help="Whether the analysis tool or the static pdfs should be outputed", default=None
)
parser.add_argument(
"-t", "--type", metavar="type", required=False, help="Type of plot to be be outputed", default=None
)
args = parser.parse_args()
if args.file is not None:
Stokes_UV = fits.open(args.file, mode="readonly")
if args.static_pdf is not None:
polarization_map(
Stokes_UV,
Stokes_UV["DATA_MASK"].data.astype(bool),
P_cut=args.p_cut,
SNRi_cut=args.snri,
flux_lim=args.lim,
step_vec=args.step_vec,
scale_vec=args.scale_vec,
savename="_".join([Stokes_UV[0].header["FILENAME"]]),
plots_folder=args.static_pdf,
)
polarization_map(
Stokes_UV,
Stokes_UV["DATA_MASK"].data.astype(bool),
P_cut=args.p_cut,
SNRi_cut=args.snri,
flux_lim=args.lim,
step_vec=args.step_vec,
scale_vec=args.scale_vec,
savename="_".join([Stokes_UV[0].header["FILENAME"], "I"]),
plots_folder=args.static_pdf,
display="Intensity",
)
polarization_map(
Stokes_UV,
Stokes_UV["DATA_MASK"].data.astype(bool),
P_cut=args.p_cut,
SNRi_cut=args.snri,
flux_lim=args.lim,
step_vec=args.step_vec,
scale_vec=args.scale_vec,
savename="_".join([Stokes_UV[0].header["FILENAME"], "P_flux"]),
plots_folder=args.static_pdf,
display="Pol_Flux",
)
polarization_map(
Stokes_UV,
Stokes_UV["DATA_MASK"].data.astype(bool),
P_cut=args.p_cut,
SNRi_cut=args.snri,
flux_lim=args.lim,
step_vec=args.step_vec,
scale_vec=args.scale_vec,
savename="_".join([Stokes_UV[0].header["FILENAME"], "P"]),
plots_folder=args.static_pdf,
display="Pol_deg",
)
polarization_map(
Stokes_UV,
Stokes_UV["DATA_MASK"].data.astype(bool),
P_cut=args.p_cut,
SNRi_cut=args.snri,
flux_lim=args.lim,
step_vec=args.step_vec,
scale_vec=args.scale_vec,
savename="_".join([Stokes_UV[0].header["FILENAME"], "PA"]),
plots_folder=args.static_pdf,
display="Pol_ang",
)
polarization_map(
Stokes_UV,
Stokes_UV["DATA_MASK"].data.astype(bool),
P_cut=args.p_cut,
SNRi_cut=args.snri,
flux_lim=args.lim,
step_vec=args.step_vec,
scale_vec=args.scale_vec,
savename="_".join([Stokes_UV[0].header["FILENAME"], "I_err"]),
plots_folder=args.static_pdf,
display="I_err",
)
polarization_map(
Stokes_UV,
Stokes_UV["DATA_MASK"].data.astype(bool),
P_cut=args.p_cut,
SNRi_cut=args.snri,
flux_lim=args.lim,
step_vec=args.step_vec,
scale_vec=args.scale_vec,
savename="_".join([Stokes_UV[0].header["FILENAME"], "P_err"]),
plots_folder=args.static_pdf,
display="Pol_deg_err",
)
polarization_map(
Stokes_UV,
Stokes_UV["DATA_MASK"].data.astype(bool),
P_cut=args.p_cut,
SNRi_cut=args.snri,
flux_lim=args.lim,
step_vec=args.step_vec,
scale_vec=args.scale_vec,
savename="_".join([Stokes_UV[0].header["FILENAME"], "SNRi"]),
plots_folder=args.static_pdf,
display="SNRi",
)
polarization_map(
Stokes_UV,
Stokes_UV["DATA_MASK"].data.astype(bool),
P_cut=args.p_cut if args.p_cut >= 1.0 else 3.0,
SNRi_cut=args.snri,
flux_lim=args.lim,
step_vec=args.step_vec,
scale_vec=args.scale_vec,
savename="_".join([Stokes_UV[0].header["FILENAME"], "SNRp"]),
plots_folder=args.static_pdf,
display="SNRp",
)
polarization_map(
Stokes_UV,
Stokes_UV["DATA_MASK"].data.astype(bool),
P_cut=args.p_cut if args.p_cut < 1.0 else 0.99,
SNRi_cut=args.snri,
flux_lim=args.lim,
step_vec=args.step_vec,
scale_vec=args.scale_vec,
savename="_".join([Stokes_UV[0].header["FILENAME"], "confP"]),
plots_folder=args.static_pdf,
display="confp",
)
if args.type is not None:
polarization_map(
Stokes_UV,
Stokes_UV["DATA_MASK"].data.astype(bool),
P_cut=args.pcut,
SNRi_cut=args.snri,
flux_lim=args.lim,
step_vec=args.step_vec,
scale_vec=args.scale_vec,
savename="_".join([Stokes_UV[0].header["FILENAME"], args.type]),
plots_folder=args.static_pdf,
display=args.type,
)
else:
polarization_map(
Stokes_UV,
Stokes_UV["DATA_MASK"].data.astype(bool),
P_cut=args.pcut,
SNRi_cut=args.snri,
flux_lim=args.lim,
step_vec=args.step_vec,
scale_vec=args.scale_vec,
savename="_".join([Stokes_UV[0].header["FILENAME"]]),
plots_folder=args.static_pdf,
)
polarization_map(
Stokes_UV,
Stokes_UV["DATA_MASK"].data.astype(bool),
P_cut=args.pcut,
SNRi_cut=args.snri,
flux_lim=args.lim,
step_vec=args.step_vec,
scale_vec=args.scale_vec,
savename="_".join([Stokes_UV[0].header["FILENAME"], "I"]),
plots_folder=args.static_pdf,
display="Intensity",
)
polarization_map(
Stokes_UV,
Stokes_UV["DATA_MASK"].data.astype(bool),
P_cut=args.pcut,
SNRi_cut=args.snri,
flux_lim=args.lim,
step_vec=args.step_vec,
scale_vec=args.scale_vec,
savename="_".join([Stokes_UV[0].header["FILENAME"], "P_flux"]),
plots_folder=args.static_pdf,
display="Pol_Flux",
)
polarization_map(
Stokes_UV,
Stokes_UV["DATA_MASK"].data.astype(bool),
P_cut=args.pcut,
SNRi_cut=args.snri,
flux_lim=args.lim,
step_vec=args.step_vec,
scale_vec=args.scale_vec,
savename="_".join([Stokes_UV[0].header["FILENAME"], "P"]),
plots_folder=args.static_pdf,
display="Pol_deg",
)
polarization_map(
Stokes_UV,
Stokes_UV["DATA_MASK"].data.astype(bool),
P_cut=args.pcut,
SNRi_cut=args.snri,
flux_lim=args.lim,
step_vec=args.step_vec,
scale_vec=args.scale_vec,
savename="_".join([Stokes_UV[0].header["FILENAME"], "PA"]),
plots_folder=args.static_pdf,
display="Pol_ang",
)
polarization_map(
Stokes_UV,
Stokes_UV["DATA_MASK"].data.astype(bool),
P_cut=args.pcut,
SNRi_cut=args.snri,
flux_lim=args.lim,
step_vec=args.step_vec,
scale_vec=args.scale_vec,
savename="_".join([Stokes_UV[0].header["FILENAME"], "I_err"]),
plots_folder=args.static_pdf,
display="I_err",
)
polarization_map(
Stokes_UV,
Stokes_UV["DATA_MASK"].data.astype(bool),
P_cut=args.pcut,
SNRi_cut=args.snri,
flux_lim=args.lim,
step_vec=args.step_vec,
scale_vec=args.scale_vec,
savename="_".join([Stokes_UV[0].header["FILENAME"], "P_err"]),
plots_folder=args.static_pdf,
display="Pol_deg_err",
)
polarization_map(
Stokes_UV,
Stokes_UV["DATA_MASK"].data.astype(bool),
P_cut=args.pcut,
SNRi_cut=args.snri,
flux_lim=args.lim,
step_vec=args.step_vec,
scale_vec=args.scale_vec,
savename="_".join([Stokes_UV[0].header["FILENAME"], "SNRi"]),
plots_folder=args.static_pdf,
display="SNRi",
)
polarization_map(
Stokes_UV,
Stokes_UV["DATA_MASK"].data.astype(bool),
P_cut=args.pcut if args.pcut >= 1.0 else 3.0,
SNRi_cut=args.snri,
flux_lim=args.lim,
step_vec=args.step_vec,
scale_vec=args.scale_vec,
savename="_".join([Stokes_UV[0].header["FILENAME"], "SNRp"]),
plots_folder=args.static_pdf,
display="SNRp",
)
polarization_map(
Stokes_UV,
Stokes_UV["DATA_MASK"].data.astype(bool),
P_cut=args.pcut if args.pcut < 1.0 else 0.99,
SNRi_cut=args.snri,
flux_lim=args.lim,
step_vec=args.step_vec,
scale_vec=args.scale_vec,
savename="_".join([Stokes_UV[0].header["FILENAME"], "confP"]),
plots_folder=args.static_pdf,
display="confp",
)
else:
pol_map(Stokes_UV, P_cut=args.p_cut, SNRi_cut=args.snri, step_vec=args.step_vec, scale_vec=args.scale_vec, flux_lim=args.lim, pa_err=args.pang_err)
pol_map(Stokes_UV, P_cut=args.pcut, SNRi_cut=args.snri, step_vec=args.step_vec, scale_vec=args.scale_vec, flux_lim=args.lim, pa_err=args.pang_err, selection=args.type)
else:
print(
"python3 plots.py -f <path_to_reduced_fits> -p <P_cut> -i <SNRi_cut> -st <step_vec> -sc <scale_vec> -l <flux_lim> -pa <pa_err> --pdf <static_pdf>"