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internship/swash/processing/read_swash.py

60 lines
1.5 KiB
Python

import numpy as np
class ReadSwash:
def __init__(self):
self._n_x = None
self._n_t = None
self._t = None
self._x = None
self._data = {}
@classmethod
def read_nohead(cls, path):
with open(path) as file:
return np.asarray(file.read().split(), dtype=np.float64)
def read_time(self, path):
self._t = np.unique(self.read_nohead(path))
self._n_t = self._t.size
def read_x(self, path):
self._x = np.unique(self.read_nohead(path))
self._n_x = self._x.size
def read_scalar(self, path, const=False):
if const:
self._data[path.stem] = slef.read_nohead(path).reshape(
(self._n_t, self._n_x)
)[0, :]
self._data[path.stem] = self.read_nohead(path).reshape(
(self._n_t, self._n_x)
)
def read_vector(self, path):
self._data[path.stem] = self.read_nohead(path).reshape(
(self._n_t, 2, self._n_x)
)
def read_scalar_lay(self, path):
self._data[path.stem] = self.read_nohead(path).reshape(
(self._n_t, -1, self._n_x)
)
def read_vector_lay(self, path):
self._data[path.stem] = self.read_nohead(path).reshape(
(self._n_t, 2, -1, self._n_x)
)
@property
def t(self):
return self._t
@property
def x(self):
return self._x
@property
def data(self):
return self._data