Skip to content

remove trailing commas for #35925 #36029

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 3 commits into from
Sep 1, 2020
Merged

remove trailing commas for #35925 #36029

Show file tree
Hide file tree
Changes from 1 commit
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
6b28815
remove trailing commas
Anshoo-Rajput Sep 1, 2020
655e52e
Update parsers.py
Anshoo-Rajput Sep 1, 2020
dfc380a
update parsers.py
Anshoo-Rajput Sep 1, 2020
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions pandas/io/parquet.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -128,7 +128,7 @@ def write(
self.api.parquet.write_table(table, path, compression=compression, **kwargs)

def read(
self, path, columns=None, storage_options: StorageOptions = None, **kwargs,
self, path, columns=None, storage_options: StorageOptions = None, **kwargs
):
if is_fsspec_url(path) and "filesystem" not in kwargs:
import_optional_dependency("fsspec")
Expand Down Expand Up @@ -218,7 +218,7 @@ def write(
)

def read(
self, path, columns=None, storage_options: StorageOptions = None, **kwargs,
self, path, columns=None, storage_options: StorageOptions = None, **kwargs
):
if is_fsspec_url(path):
fsspec = import_optional_dependency("fsspec")
Expand Down
4 changes: 1 addition & 3 deletions pandas/io/parsers.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -1967,9 +1967,7 @@ def _do_date_conversions(self, names, data):


class CParserWrapper(ParserBase):
"""

"""
""""""

def __init__(self, src, **kwds):
self.kwds = kwds
Expand Down
12 changes: 6 additions & 6 deletions pandas/io/pytables.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2931,7 +2931,7 @@ def read_index_node(
# If the index was an empty array write_array_empty() will
# have written a sentinel. Here we replace it with the original.
if "shape" in node._v_attrs and np.prod(node._v_attrs.shape) == 0:
data = np.empty(node._v_attrs.shape, dtype=node._v_attrs.value_type,)
data = np.empty(node._v_attrs.shape, dtype=node._v_attrs.value_type)
kind = _ensure_decoded(node._v_attrs.kind)
name = None

Expand Down Expand Up @@ -4103,7 +4103,7 @@ def create_description(
return d

def read_coordinates(
self, where=None, start: Optional[int] = None, stop: Optional[int] = None,
self, where=None, start: Optional[int] = None, stop: Optional[int] = None
):
"""
select coordinates (row numbers) from a table; return the
Expand Down Expand Up @@ -4374,7 +4374,7 @@ def write_data_chunk(
self.table.flush()

def delete(
self, where=None, start: Optional[int] = None, stop: Optional[int] = None,
self, where=None, start: Optional[int] = None, stop: Optional[int] = None
):

# delete all rows (and return the nrows)
Expand Down Expand Up @@ -4805,7 +4805,7 @@ def _convert_index(name: str, index: Index, encoding: str, errors: str) -> Index
if inferred_type == "date":
converted = np.asarray([v.toordinal() for v in values], dtype=np.int32)
return IndexCol(
name, converted, "date", _tables().Time32Col(), index_name=index_name,
name, converted, "date", _tables().Time32Col(), index_name=index_name
)
elif inferred_type == "string":

Expand All @@ -4821,13 +4821,13 @@ def _convert_index(name: str, index: Index, encoding: str, errors: str) -> Index

elif inferred_type in ["integer", "floating"]:
return IndexCol(
name, values=converted, kind=kind, typ=atom, index_name=index_name,
name, values=converted, kind=kind, typ=atom, index_name=index_name
)
else:
assert isinstance(converted, np.ndarray) and converted.dtype == object
assert kind == "object", kind
atom = _tables().ObjectAtom()
return IndexCol(name, converted, kind, atom, index_name=index_name,)
return IndexCol(name, converted, kind, atom, index_name=index_name)


def _unconvert_index(
Expand Down