def _write_block(self,
f: "pyarrow.NativeFile",
block: BlockAccessor,
writer_args_fn: Callable[[], Dict[str, Any]] = lambda: {},
**writer_args):
writer_args = _resolve_kwargs(writer_args_fn, **writer_args)
orient = writer_args.pop("orient", "records")
lines = writer_args.pop("lines", True)
block.to_pandas().to_json(f, orient=orient, lines=lines, **writer_args)
def _zip(self, acc: BlockAccessor) -> "pandas.DataFrame":
r = self.to_pandas().copy(deep=False)
s = acc.to_pandas()
for col_name in s.columns:
col = s[col_name]
# Ensure the column names are unique after zip.
if col_name in r.column_names:
i = 1
new_name = col_name
while new_name in r.column_names:
new_name = "{}_{}".format(col_name, i)
i += 1
col_name = new_name
r[col_name] = col
return r
def _write_block(self, f: "pyarrow.NativeFile", block: BlockAccessor,
**writer_args):
orient = writer_args.pop("orient", "records")
lines = writer_args.pop("lines", True)
block.to_pandas().to_json(f, orient=orient, lines=lines, **writer_args)
