def eigenvects(self):
"""
Returns Group of three eigenvectors represented as ``Vec3``
"""
return Group([Vec3(self.vects.T[0]),
Vec3(self.vects.T[1]),
Vec3(self.vects.T[2])])
def eigenvects(self):
"""
Return ```Group``` of principal eigenvectors as ``Vec3`` objects.
"""
U, _, _ = np.linalg.svd(self)
return Group([Vec3(U.T[0]), Vec3(U.T[1]), Vec3(U.T[2])])
def eigenvects(self) -> Group:
"""
Return the group of eigenvectors. If scaled property is `True` their
length is scaled by eigenvalues, otherwise unit length.
"""
if self.scaled:
e1, e2, e3 = self.E1, self.E2, self.E3
else:
e1 = e2 = e3 = 1.0
return Group([
e1 * Vec3(self._evects[0]),
e2 * Vec3(self._evects[1]),
e3 * Vec3(self._evects[2]),
])
def pca(self, kind='geo', origin=False):
data = getattr(self, kind)
if origin:
data.append(Vec3([0, 0, 0]))
r = data.R / len(data)
dv = Group([v - r for v in data])
ot = dv.ortensor
pca = ot.eigenvects[0]
if pca.angle(r) > 90:
pca = -pca
mad = np.degrees(np.arctan(np.sqrt((ot.E2 + ot.E3) / ot.E1)))
return pca, mad
def cauchy(self, n):
"""
Return stress vector associated with plane given by normal vector.
Args:
n: normal given as ``Vec3`` or ``Fol`` object
Example:
>>> S = Stress.from_comp(xx=-5, yy=-2, zz=10, xy=1)
>>> S.cauchy(Fol(160, 30))
V(-2.520, 0.812, 8.660)
"""
return Vec3(np.dot(self, n))
def axisangle(self):
"""Return rotation part of ``DefGrad`` axis, angle tuple."""
from scipy.linalg import polar
R, _ = polar(self)
w, W = np.linalg.eig(R.T)
i = np.where(abs(np.real(w) - 1.0) < 1e-8)[0]
if not len(i):
raise ValueError("no unit eigenvector corresponding to eigenvalue 1")
axis = Vec3(np.real(W[:, i[-1]]).squeeze())
# rotation angle depending on direction
cosa = (np.trace(R) - 1.0) / 2.0
if abs(axis[2]) > 1e-8:
sina = (R[1, 0] + (cosa - 1.0) * axis[0] * axis[1]) / axis[2]
elif abs(axis[1]) > 1e-8:
sina = (R[0, 2] + (cosa - 1.0) * axis[0] * axis[2]) / axis[1]
else:
sina = (R[2, 1] + (cosa - 1.0) * axis[1] * axis[2]) / axis[0]
angle = np.rad2deg(np.arctan2(sina, cosa))
return axis, angle
def from_pmd(cls, filename):
"""Return ``Core`` instance generated from PMD file.
Args:
filename: PMD file
Example:
>>> d = Core.from_pmd('K509A2-1.PMD')
"""
with open(filename, encoding="latin1") as f:
d = f.read().splitlines()
data = {}
fields = {
"Xc": slice(5, 14),
"Yc": slice(15, 24),
"Zc": slice(25, 34),
"a95": slice(69, 73),
}
data["info"] = d[0].strip()
vline = d[1].strip()
data["filename"] = filename
data["name"] = vline[:10].strip()
data["alpha"] = float(vline[10:20].strip().split("=")[1])
data["beta"] = float(vline[20:30].strip().split("=")[1])
data["strike"] = float(vline[30:40].strip().split("=")[1])
data["dip"] = float(vline[40:50].strip().split("=")[1])
data["volume"] = float(vline[50:63].strip().split("=")[1].strip("m3"))
data["date"] = datetime.strptime(vline[63:].strip(), "%m-%d-%Y %H:%M")
data["steps"] = [ln[:4].strip() for ln in d[3:-1]]
data["comments"] = [ln[73:].strip() for ln in d[3:-1]]
data["a95"] = [float(ln[fields["a95"]].strip()) for ln in d[3:-1]]
data["vectors"] = []
for ln in d[3:-1]:
x = float(ln[fields["Xc"]].strip())
y = float(ln[fields["Yc"]].strip())
z = float(ln[fields["Zc"]].strip())
data["vectors"].append(Vec3((x, y, z)))
return cls(**data)
def format_coord(self, x, y):
if np.hypot(x, y) > 1:
return ""
else:
v = Vec3(*getldd(x, y))
return repr(v.asfol) + " " + repr(v.aslin)
def from_rs3(cls, filename):
"""Return ``Core`` instance generated from PMD file.
Args:
filename: Remasoft rs3 file
"""
with open(filename, encoding="latin1") as f:
d = f.read().splitlines()
import io
headspec = [
[0, 9],
[10, 19],
[20, 29],
[30, 40],
[41, 50],
[51, 65],
[66, 70],
[71, 73],
[74, 79],
[80, 85],
[86, 91],
[92, 97],
[98, 103],
[104, 109],
[110, 112],
[113, 115],
[116, 118],
[119, 121],
[122, 126],
]
bodyspec = [
[0, 2],
[3, 13],
[14, 27],
[28, 33],
[34, 39],
[40, 45],
[46, 51],
[52, 57],
[58, 63],
[64, 69],
[70, 75],
[76, 81],
[82, 95],
[96, 105],
[106, 115],
[116, 126],
]
head = pd.read_fwf(io.StringIO('\n'.join(d[:2])), colspecs=headspec)
body = pd.read_fwf(io.StringIO('\n'.join(d[2:])), colspecs=bodyspec)
data = {}
vline = d[1]
data["site"] = head['Site'][0] if not pd.isna(head['Site'][0]) else ''
data["filename"] = filename
data["name"] = head['Name'][0] if not pd.isna(head['Name'][0]) else ''
data["longitude"] = (float(head['Longitude'][0])
if not pd.isna(head['Longitude'][0]) else None)
data["latitude"] = (float(head['Latitude'][0])
if not pd.isna(head['Latitude'][0]) else None)
data["height"] = (float(head['Height'][0])
if not pd.isna(head['Height'][0]) else None)
data["rock"] = head['Rock'][0] if not pd.isna(head['Rock'][0]) else ''
data["age"] = head['Age'][0] if not pd.isna(head['Age'][0]) else ''
data["formation"] = head['Fm'][0] if not pd.isna(head['Fm'][0]) else ''
data["sref"] = Pair(180, 0, 180, 0)
data["gref"] = Pair(
float(head['SDec'][0]),
float(head['SInc'][0]),
float(head['SDec'][0]),
float(head['SInc'][0]),
)
data["bedding"] = (Fol(float(head['BDec'][0]), float(head['BInc'][0]))
if not pd.isna(head['BDec'][0])
and not pd.isna(head['BInc'][0]) else None)
data["foldaxis"] = (Lin(float(head['FDec'][0]), float(head['FInc'][0]))
if not pd.isna(head['FDec'][0])
and not pd.isna(head['FInc'][0]) else None)
data["date"] = datetime.now()
#ix = (body.iloc[:, 0] == 'T') | (body.iloc[:, 0] == 'N')
ix = body.iloc[:, 0] != 'C'
data["steps"] = body[ix].iloc[:, 1].to_list()
data["comments"] = body[ix]['Note'].to_list()
data["a95"] = body[ix]['Prec'].to_list()
data["vectors"] = []
for n, r in body[ix].iterrows():
data["vectors"].append(r['M[A/m]'] * Vec3(r['Dsp'], r['Isp']))
return cls(**data)
