def _scan_ecl_keywords(pfile, maxkeys=100000, dataframe=False):
ultramax = int(1000000 / 9) # cf *swig_bnd_char_1m in cxtgeo.i
if maxkeys > ultramax:
raise ValueError(
"maxkeys value is too large, must be < {}".format(ultramax))
rectypes = _cxtgeo.new_intarray(maxkeys)
reclens = _cxtgeo.new_longarray(maxkeys)
recstarts = _cxtgeo.new_longarray(maxkeys)
cfhandle = pfile.get_cfhandle()
nkeys, keywords = _cxtgeo.grd3d_scan_eclbinary(cfhandle, rectypes, reclens,
recstarts, maxkeys)
pfile.cfclose()
keywords = keywords.replace(" ", "")
keywords = keywords.split("|")
# record types translation (cf: grd3d_scan_eclbinary.c in cxtgeo)
rct = {
"1": "INTE",
"2": "REAL",
"3": "DOUB",
"4": "CHAR",
"5": "LOGI",
"6": "MESS",
"-1": "????",
}
rc = []
rl = []
rs = []
for i in range(nkeys):
rc.append(rct[str(_cxtgeo.intarray_getitem(rectypes, i))])
rl.append(_cxtgeo.longarray_getitem(reclens, i))
rs.append(_cxtgeo.longarray_getitem(recstarts, i))
_cxtgeo.delete_intarray(rectypes)
_cxtgeo.delete_longarray(reclens)
_cxtgeo.delete_longarray(recstarts)
result = list(zip(keywords, rc, rl, rs))
if dataframe:
cols = ["KEYWORD", "TYPE", "NITEMS", "BYTESTART"]
df = pd.DataFrame.from_records(result, columns=cols)
return df
return result
def _scan_roff_keywords(fhandle, maxkeys=100000, dataframe=False):
# In case fhandle is not a file name but a swig pointer to a file handle,
# the file must not be closed
ultramax = int(1000000 / 9) # cf *swig_bnd_char_1m in cxtgeo.i
if maxkeys > ultramax:
raise ValueError(
"maxkeys value is too large, must be < {}".format(ultramax))
rectypes = _cxtgeo.new_intarray(maxkeys)
reclens = _cxtgeo.new_longarray(maxkeys)
recstarts = _cxtgeo.new_longarray(maxkeys)
nkeys, _tmp1, keywords = _cxtgeo.grd3d_scan_roffbinary(
fhandle, rectypes, reclens, recstarts, maxkeys)
keywords = keywords.replace(" ", "")
keywords = keywords.split("|")
# record types translation (cf: grd3d_scan_eclbinary.c in cxtgeo)
rct = {
"1": "int",
"2": "float",
"3": "double",
"4": "char",
"5": "bool",
"6": "byte",
}
rc = []
rl = []
rs = []
for i in range(nkeys):
rc.append(rct[str(_cxtgeo.intarray_getitem(rectypes, i))])
rl.append(_cxtgeo.longarray_getitem(reclens, i))
rs.append(_cxtgeo.longarray_getitem(recstarts, i))
_cxtgeo.delete_intarray(rectypes)
_cxtgeo.delete_longarray(reclens)
_cxtgeo.delete_longarray(recstarts)
result = list(zip(keywords, rc, rl, rs))
if dataframe:
cols = ["KEYWORD", "TYPE", "NITEMS", "BYTESTARTDATA"]
df = pd.DataFrame.from_records(result, columns=cols)
return df
return result