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Update arguments for animate + black reformat

This commit is contained in:
Edgar P. Burkhart 2022-05-04 10:52:40 +02:00
parent d8ef2cddfd
commit d681acb703
Signed by: edpibu
GPG key ID: 9833D3C5A25BD227
4 changed files with 29 additions and 23 deletions

View file

@ -1,5 +1,4 @@
import argparse
import configparser
import gzip
import logging
import multiprocessing as mp
@ -16,16 +15,20 @@ from .olaflow import OFModel
parser = argparse.ArgumentParser(description="Post-process olaflow results")
parser.add_argument("-v", "--verbose", action="count", default=0)
parser.add_argument("-c", "--config", default="config.ini")
parser.add_argument(
"-o",
"--output",
type=pathlib.Path,
help="Output directory for pickled data",
required=True,
)
args = parser.parse_args()
logging.basicConfig(level=max((10, 20 - 10 * args.verbose)))
log = logging.getLogger("ola_post")
log.info("Animating olaFlow output")
config = configparser.ConfigParser()
config.read(args.config)
out = pathlib.Path(config.get("post", "out"))
out = args.output
out.mkdir(parents=True, exist_ok=True)
with (
@ -35,8 +38,6 @@ with (
) as f:
model = pickle.load(f)
x0 = config.getfloat("post", "x")
z0 = config.getfloat("post", "z")
i0 = np.argmin(np.abs((model.x - x0) + 1j * (model.z - z0)))
x0, idx0 = np.unique(model.x.astype(np.half), return_inverse=True)
@ -54,7 +55,7 @@ U = np.full((model.t.size, *X.shape), np.nan)
U[:, idz0, idx0] = np.linalg.norm(model.fields["U"], axis=1)
fig = plt.figure(figsize=(19.2, 10.8), dpi=100)
gs = GridSpec(3, 1, figure=fig, height_ratios=[1, .05, .05])
gs = GridSpec(3, 1, figure=fig, height_ratios=[1, 0.05, 0.05])
ax = fig.add_subplot(gs[0])
cax1 = fig.add_subplot(gs[1])
cax2 = fig.add_subplot(gs[2])
@ -92,7 +93,7 @@ def anim(i):
figU = plt.figure(figsize=(19.2, 10.8), dpi=100)
gsU = GridSpec(3, 1, figure=figU, height_ratios=[1, .05, .05])
gsU = GridSpec(3, 1, figure=figU, height_ratios=[1, 0.05, 0.05])
axU = figU.add_subplot(gsU[0])
caxu1 = figU.add_subplot(gsU[1])
caxu2 = figU.add_subplot(gsU[2])
@ -140,8 +141,8 @@ def animU(i):
ur_m.set_alpha(1 - np.nan_to_num(AW[i]).clip(0, 1))
ani = animation.FuncAnimation(fig, anim, frames=model.t.size, interval=1/24)
aniU = animation.FuncAnimation(figU, animU, frames=model.t.size, interval=1/24)
ani = animation.FuncAnimation(fig, anim, frames=model.t.size, interval=1 / 24)
aniU = animation.FuncAnimation(figU, animU, frames=model.t.size, interval=1 / 24)
ani.save(out.joinpath("anim.mp4"), fps=24)
aniU.save(out.joinpath("animU.mp4"), fps=24)

View file

@ -1,5 +1,4 @@
import argparse
import configparser
import gzip
import logging
import multiprocessing as mp
@ -16,16 +15,20 @@ from .olaflow import OFModel
parser = argparse.ArgumentParser(description="Post-process olaflow results")
parser.add_argument("-v", "--verbose", action="count", default=0)
parser.add_argument("-c", "--config", default="config.ini")
parser.add_argument(
"-o",
"--output",
type=pathlib.Path,
help="Output directory for pickled data",
required=True,
)
args = parser.parse_args()
logging.basicConfig(level=max((10, 20 - 10 * args.verbose)))
log = logging.getLogger("ola_post")
log.info("Animating olaFlow output")
config = configparser.ConfigParser()
config.read(args.config)
out = pathlib.Path(config.get("post", "out"))
out = args.output
out.mkdir(parents=True, exist_ok=True)
with (
@ -35,9 +38,6 @@ with (
) as f:
model = pickle.load(f)
x0 = config.getfloat("post", "x")
z0 = config.getfloat("post", "z")
flt = np.where((model.x >= -60) & (model.x <= -20) & (model.z >= 0) & (model.z <= 10))[
0
]

View file

@ -56,4 +56,6 @@ for i, (_ax, _model) in enumerate(zip(ax, models)):
_ax.set(xlabel="t (s)", ylabel="z (m)", title=f"Case {i}")
_ax.grid()
fig.savefig(args.output[0].joinpath(f"diff_{'_'.join([o.name for o in args.output])}.pdf"))
fig.savefig(
args.output[0].joinpath(f"diff_{'_'.join([o.name for o in args.output])}.pdf")
)

View file

@ -53,7 +53,9 @@ class OFModel:
return _field
def read_post(self, func, field):
_ft = lambda _d: self._root.joinpath("postProcessing", func, _d, f"line_{field}.xy")
_ft = lambda _d: self._root.joinpath(
"postProcessing", func, _d, f"line_{field}.xy"
)
_res_0 = np.loadtxt(_ft(self._t_dirs[0]))
_x = _res_0[:, 0]
_res = np.empty((self._t.size, _x.size))
@ -64,9 +66,10 @@ class OFModel:
f"x_{field}": _x,
field: _res,
}
if func not in self._post_fields.keys(): self._post_fields[func] = {}
if func not in self._post_fields.keys():
self._post_fields[func] = {}
self._post_fields[func] |= _dict
return _dict
return _dict
def write_field(self, field, values):
with open(self._root.joinpath("0", field), "r") as aw_file: