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CLN: remove LegacyFoo from io.pytables #29787

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Merged
merged 3 commits into from
Nov 22, 2019
Merged

CLN: remove LegacyFoo from io.pytables #29787

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e3ebcb0
CLN: remove LegacyFoo from io.pytables
jbrockmendel Nov 22, 2019
c448f69
missed an entry in storer_map
jbrockmendel Nov 22, 2019
0e3ceeb
whatsnew
jbrockmendel Nov 22, 2019
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76 changes: 1 addition & 75 deletions pandas/io/pytables.py
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Original file line number Diff line number Diff line change
Expand Up @@ -180,8 +180,6 @@ class DuplicateWarning(Warning):
# storer class map
_STORER_MAP = {
"Series": "LegacySeriesFixed",
"DataFrame": "LegacyFrameFixed",
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i think Series as well?

"DataMatrix": "LegacyFrameFixed",
"series": "SeriesFixed",
"frame": "FrameFixed",
}
Expand Down Expand Up @@ -3083,35 +3081,6 @@ def write_array(self, key: str, value, items=None):
getattr(self.group, key)._v_attrs.transposed = transposed


class LegacyFixed(GenericFixed):
def read_index_legacy(
self, key: str, start: Optional[int] = None, stop: Optional[int] = None
):
node = getattr(self.group, key)
data = node[start:stop]
kind = node._v_attrs.kind
return _unconvert_index_legacy(
data, kind, encoding=self.encoding, errors=self.errors
)


class LegacySeriesFixed(LegacyFixed):
def read(self, **kwargs):
kwargs = self.validate_read(kwargs)
index = self.read_index_legacy("index")
values = self.read_array("values")
return Series(values, index=index)


class LegacyFrameFixed(LegacyFixed):
def read(self, **kwargs):
kwargs = self.validate_read(kwargs)
index = self.read_index_legacy("index")
columns = self.read_index_legacy("columns")
values = self.read_array("values")
return DataFrame(values, index=index, columns=columns)


class SeriesFixed(GenericFixed):
pandas_kind = "series"
attributes = ["name"]
Expand Down Expand Up @@ -4139,35 +4108,7 @@ def write(self, **kwargs):
raise NotImplementedError("WORKTable needs to implement write")


class LegacyTable(Table):
""" an appendable table: allow append/query/delete operations to a
(possibly) already existing appendable table this table ALLOWS
append (but doesn't require them), and stores the data in a format
that can be easily searched

"""

_indexables: Optional[List[IndexCol]] = [
IndexCol(name="index", axis=1, pos=0),
IndexCol(name="column", axis=2, pos=1, index_kind="columns_kind"),
DataCol(name="fields", cname="values", kind_attr="fields", pos=2),
]
table_type = "legacy"
ndim = 3

def write(self, **kwargs):
raise TypeError("write operations are not allowed on legacy tables!")

def read(self, where=None, columns=None, **kwargs):
"""we have n indexable columns, with an arbitrary number of data
axes
"""

if not self.read_axes(where=where, **kwargs):
return None


class AppendableTable(LegacyTable):
class AppendableTable(Table):
""" support the new appendable table formats """

_indexables = None
Expand Down Expand Up @@ -4866,21 +4807,6 @@ def _unconvert_index(data, kind, encoding=None, errors="strict"):
return index


def _unconvert_index_legacy(data, kind, legacy=False, encoding=None, errors="strict"):
kind = _ensure_decoded(kind)
if kind == "datetime":
index = to_datetime(data)
elif kind in ("integer"):
index = np.asarray(data, dtype=object)
elif kind in ("string"):
index = _unconvert_string_array(
data, nan_rep=None, encoding=encoding, errors=errors
)
else: # pragma: no cover
raise ValueError("unrecognized index type {kind}".format(kind=kind))
return index


def _convert_string_array(data, encoding, errors, itemsize=None):
"""
we take a string-like that is object dtype and coerce to a fixed size
Expand Down