def test_stype_instantiate_bad():
from datatable import stype
with pytest.raises(dt.exceptions.ValueError):
print(stype(-1))
with pytest.raises(dt.exceptions.ValueError):
print(stype(0))
with pytest.raises(dt.exceptions.ValueError):
print(stype(["i", "4"]))
with pytest.raises(dt.exceptions.ValueError):
print(stype(1.5))
with pytest.raises(dt.exceptions.ValueError):
print(stype(True))
def test_stype_instantiate_from_numpy(numpy):
from datatable import stype
assert stype(numpy.dtype("void")) is stype.void
assert stype(numpy.dtype("bool")) is stype.bool8
assert stype(numpy.dtype("int8")) is stype.int8
assert stype(numpy.dtype("int16")) is stype.int16
assert stype(numpy.dtype("int32")) is stype.int32
assert stype(numpy.dtype("int64")) is stype.int64
assert stype(numpy.dtype("float32")) is stype.float32
assert stype(numpy.dtype("float64")) is stype.float64
assert stype(numpy.dtype("str")) is stype.str64
assert stype(numpy.dtype("object")) is stype.obj64
def parse_html_repr(html):
# Here `re.S` means "single-line mode", i.e. allow '.' to match any
# character, including the newline (by default '.' does not match '\n').
mm = re.search("<div class='datatable'>(.*)</div>", html, re.S)
html = mm.group(1).strip()
mm = re.match(r"<table class='frame'>(.*)</table>\s*"
r"<div class='footer'>(.*)</div>", html, re.S)
frame = mm.group(1).strip()
footer = mm.group(2).strip()
mm = re.match(r"<div class='frame_dimensions'>"
r"(\d+) rows? × (\d+) columns?</div>", footer, re.S)
shape = (int(mm.group(1).strip()), int(mm.group(2).strip()))
mm = re.match(r"<thead>(.*)</thead>\s*<tbody>(.*)</tbody>", frame, re.S)
thead = mm.group(1).strip()
tbody = mm.group(2).strip()
mm = re.match("<tr class='colnames'><td class='row_index'></td>(.*)</tr>"
"\\s*"
"<tr class='coltypes'><td class='row_index'></td>(.*)</tr>",
thead, re.S)
str_colnames = mm.group(1).strip()
str_coltypes = mm.group(2).strip()
colnames = re.findall("<th>(.*?)</th>", str_colnames)
coltypes = re.findall("<td class='\\w+' title='(\\w+)'>", str_coltypes)
str_rows = re.findall("<tr>(.*?)</tr>", tbody, re.S)
rows = []
for str_row in str_rows:
row = re.findall("<td>(.*?)</td>", str_row, re.S)
rows.append(row)
html_repr = namedtuple("html_repr", ["names", "stypes", "shape", "data"])
return html_repr(names=tuple(colnames),
stypes=tuple(dt.stype(s) for s in coltypes),
shape=shape,
data=rows)
def tonumpy(self, stype=None):
"""
Convert Frame into a numpy array, optionally forcing it into a
specific stype/dtype.
Parameters
----------
stype: datatable.stype, numpy.dtype or str
Cast datatable into this dtype before converting it into a numpy
array.
"""
numpy = load_module("numpy")
st = 0
if stype:
st = datatable.stype(stype).value
self.internal.use_stype_for_buffers(st)
res = numpy.array(self.internal)
self.internal.use_stype_for_buffers(0)
return res
def to_numpy(self, stype=None):
"""
Convert Frame into a numpy array, optionally forcing it into a
specific stype/dtype.
Parameters
----------
stype: datatable.stype, numpy.dtype or str
Cast datatable into this dtype before converting it into a numpy
array.
"""
numpy = load_module("numpy")
if not hasattr(numpy, "array"): # pragma: no cover
raise ImportError("Unsupported numpy version: `%s`"
% (getattr(numpy, "__version__", "???"), ))
st = 0
if stype:
st = datatable.stype(stype).value
self.internal.use_stype_for_buffers(st)
res = numpy.array(self.internal)
self.internal.use_stype_for_buffers(0)
return res
def test_stype_instantiate():
from datatable import stype
for st in stype:
assert stype(st) is st
assert stype(st.value) is st
assert stype(st.name) is st
assert stype(st.code) is st
assert stype(bool) is stype.bool8
assert stype("b1") is stype.bool8
assert stype("bool") is stype.bool8
assert stype("boolean") is stype.bool8
assert stype(int) is stype.int64
assert stype("int") is stype.int64
assert stype("integer") is stype.int64
assert stype("int8") is stype.int8
assert stype("int16") is stype.int16
assert stype("int32") is stype.int32
assert stype("int64") is stype.int64
assert stype(float) is stype.float64
assert stype("real") is stype.float64
assert stype("float") is stype.float64
assert stype("float32") is stype.float32
assert stype("float64") is stype.float64
assert stype(str) is stype.str64
assert stype("str") is stype.str64
assert stype("str32") is stype.str32
assert stype("str64") is stype.str64
assert stype(object) is stype.obj64
assert stype("obj") is stype.obj64
assert stype("object") is stype.obj64
