def toNumpy(self, regexp, dtypes):
import numpy as np
try:
return np.fromregex(StringIO(self.data), regexp, dtypes)
except TypeError:
from PyFoam.ThirdParty.six import BytesIO, b
return np.fromregex(BytesIO(b(self.data)), regexp, dtypes)
def __callCaseReport(self,region=None,level=3,**kwargs):
"""Helper function that does the actual calling of CaseReport
and returning of the HTML-formatted output"""
s=StringIO()
if region!=None:
level=level+1
CaseReport(args=[self.path],
region=region,
file=s,
headingLevel=level,
**kwargs)
return HTML(publish_parts(s.getvalue(),
writer_name='html',
settings_overrides={
"initial_header_level":level,
"doctitle_xform":False
})['html_body'])
def __callCaseReport(self,region=None,level=3,**kwargs):
"""Helper function that does the actual calling of CaseReport
and returning of the HTML-formatted output"""
s=StringIO()
if region!=None:
level=level+1
CaseReport(args=[self.path],
region=region,
file=s,
headingLevel=level,
**kwargs)
return HTML(publish_parts(s.getvalue(),
writer_name='html',
settings_overrides={
"initial_header_level":level,
"doctitle_xform":False
})['html_body'])
def toNumpy(self, regexp, dtypes):
"""Assume that the unparsed data contains line-wise data and transform it to a numpy-array.
@param regexp: regular expression where the groups correspond to the dtypes,
@param dtypes: list with dtypes"""
import numpy as np
try:
return np.fromregex(StringIO(self.data), regexp, dtypes)
except TypeError:
from PyFoam.ThirdParty.six import BytesIO, b
return np.fromregex(BytesIO(b(self.data)), regexp, dtypes)