def _save_chunk(self, start_i, end_i):
data_index = self.data_index
# create the data for a chunk
slicer = slice(start_i, end_i)
for i in range(len(self.blocks)):
b = self.blocks[i]
d = b.to_native_types(slicer=slicer, na_rep=self.na_rep,
float_format=self.float_format,
decimal=self.decimal,
date_format=self.date_format,
quoting=self.quoting)
for col_loc, col in zip(b.mgr_locs, d):
# self.data is a preallocated list
self.data[col_loc] = col
ix = data_index.to_native_types(slicer=slicer, na_rep=self.na_rep,
float_format=self.float_format,
decimal=self.decimal,
date_format=self.date_format,
quoting=self.quoting)
libwriters.write_csv_rows(self.data, ix, self.nlevels,
self.cols, self.writer)
def _save_chunk(self, start_i: int, end_i: int) -> None:
data_index = self.data_index
# create the data for a chunk
slicer = slice(start_i, end_i)
for i in range(len(self.blocks)):
b = self.blocks[i]
d = b.to_native_types(
slicer=slicer,
na_rep=self.na_rep,
float_format=self.float_format,
decimal=self.decimal,
date_format=self.date_format,
quoting=self.quoting,
)
for col_loc, col in zip(b.mgr_locs, d):
# self.data is a preallocated list
self.data[col_loc] = col
ix = data_index.to_native_types(
slicer=slicer,
na_rep=self.na_rep,
float_format=self.float_format,
decimal=self.decimal,
date_format=self.date_format,
quoting=self.quoting,
)
libwriters.write_csv_rows(self.data, ix, self.nlevels, self.cols,
self.writer)
def _save_chunk(self, start_i, end_i):
data_index = self.data_index
# create the data for a chunk
slicer = slice(start_i, end_i)
for i in range(len(self.blocks)):
b = self.blocks[i]
# DKU-specific : force date format to include timezone when available
if b.is_datetimetz:
date_format = '%Y-%m-%dT%H:%M:%S.%f%z'
else:
date_format = self.date_format
d = b.to_native_types(slicer=slicer,
na_rep=self.na_rep,
float_format=self.float_format,
decimal=self.decimal,
date_format=date_format,
quoting=self.quoting)
for col_loc, col in zip(b.mgr_locs, d):
# self.data is a preallocated list
self.data[col_loc] = col
ix = data_index.to_native_types(slicer=slicer,
na_rep=self.na_rep,
float_format=self.float_format,
date_format=self.date_format,
quoting=self.quoting)
libwriters.write_csv_rows(self.data, ix, self.nlevels, self.cols,
self.writer)
def _save_chunk(self, start_i: int, end_i: int) -> None:
# create the data for a chunk
slicer = slice(start_i, end_i)
df = self.obj.iloc[slicer]
res = df._mgr.to_native_types(**self._number_format)
data = [res.iget_values(i) for i in range(len(res.items))]
ix = self.data_index[slicer]._format_native_types(**self._number_format)
libwriters.write_csv_rows(data, ix, self.nlevels, self.cols, self.writer)
def _save_chunk(self, start_i: int, end_i: int) -> None:
ncols = self.obj.shape[-1]
data = [None] * ncols
# create the data for a chunk
slicer = slice(start_i, end_i)
df = self.obj.iloc[slicer]
mgr = df._mgr
res = mgr.apply("to_native_types", **self._number_format)
for i in range(len(res.items)):
data[i] = res.iget_values(i)
ix = self.data_index.to_native_types(slicer=slicer,
**self._number_format)
libwriters.write_csv_rows(data, ix, self.nlevels, self.cols,
self.writer)
def _save_chunk(self, start_i: int, end_i: int) -> None:
# create the data for a chunk
slicer = slice(start_i, end_i)
df = self.obj.iloc[slicer]
res = df._mgr.to_native_types(**self._number_format)
data = [res.iget_values(i) for i in range(len(res.items))]
ix = self.data_index[slicer]._format_native_types(
**self._number_format)
# error: Argument 4 to "write_csv_rows" has incompatible type
# "Sequence[Hashable]"; expected "ndarray"
libwriters.write_csv_rows(
data,
ix,
self.nlevels,
self.cols, # type: ignore[arg-type]
self.writer,
)
def _save_chunk(self, start_i: int, end_i: int) -> None:
ncols = self.obj.shape[-1]
data = [None] * ncols
# create the data for a chunk
slicer = slice(start_i, end_i)
df = self.obj.iloc[slicer]
for block in df._mgr.blocks:
d = block.to_native_types(**self._number_format)
for col_loc, col in zip(block.mgr_locs, d):
data[col_loc] = col
ix = self.data_index.to_native_types(slicer=slicer,
**self._number_format)
libwriters.write_csv_rows(data, ix, self.nlevels, self.cols,
self.writer)
