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Fix: QlibDataLoader drops the cols added by inst_processor #1430

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Fix: QlibDataLoader drops the cols added by inst_processor #1430

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c1121b9
Fix: QlibDataLoader drops the cols added by inst_processor
xu-li Feb 5, 2023
762f75e
Fix: QlibDataLoader drops the cols added by inst_processor
xu-li Feb 5, 2023
8d2a5dd
Fix: normalize field names before replacing the column names
Feb 6, 2023
0576a01
Merge remote-tracking branch 'origin/main' into HEAD
you-n-g Feb 13, 2023
ce8bfdf
Merge branch 'main' into main
Fivele-Li May 4, 2023
2337360
Merge branch 'microsoft:main' into main
xu-li May 7, 2023
32b498a
Only use the new logic when InstProcessor presents
xu-li May 7, 2023
643859c
activate CI
Cadenza-Li Aug 25, 2023
d302c06
fix black;
Fivele-Li Aug 25, 2023
f6ed759
fix black;
Fivele-Li Aug 25, 2023
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5 changes: 4 additions & 1 deletion qlib/data/data.py
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Original file line number Diff line number Diff line change
Expand Up @@ -587,7 +587,10 @@ def dataset_processor(instruments_d, column_names, start_time, end_time, freq, i

if len(new_data) > 0:
data = pd.concat(new_data, names=["instrument"], sort=False)
data = DiskDatasetCache.cache_to_origin_data(data, column_names)

# NOTE: InstProcessors may add new columns and using cache_to_origin_data will remove those added columns.
if not len(inst_processors):
data = DiskDatasetCache.cache_to_origin_data(data, column_names)
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Perhaps modifying the cache_to_origin_data without checking len(inst_processors) is better?

    def cache_to_origin_data(data, fields):
        """cache data to origin data

        :param data: pd.DataFrame, cache data.
        :param fields: feature fields.
        :return: pd.DataFrame.
        """
        not_space_fields = remove_fields_space(fields)
        data_selected = data.loc[:, not_space_fields]
        # set features fields
        data_selected.columns = [str(i) for i in fields]

        _fields = [col for col in data.columns if col not in not_space_fields]
        _data_selected = data.loc[:, _fields]
        data = pd.concat([data_selected, _data_selected], axis=1)
        return data

else:
data = pd.DataFrame(
index=pd.MultiIndex.from_arrays([[], []], names=("instrument", "datetime")),
Expand Down
15 changes: 13 additions & 2 deletions qlib/data/dataset/loader.py
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Original file line number Diff line number Diff line change
Expand Up @@ -10,7 +10,13 @@
from typing import Tuple, Union, List

from qlib.data import D
from qlib.utils import load_dataset, init_instance_by_config, time_to_slc_point
from qlib.utils import (
load_dataset,
init_instance_by_config,
time_to_slc_point,
remove_fields_space,
remove_repeat_field,
)
from qlib.log import get_module_logger
from qlib.utils.serial import Serializable

Expand Down Expand Up @@ -215,7 +221,12 @@ def load_group_df(
self.inst_processors if isinstance(self.inst_processors, list) else self.inst_processors.get(gp_name, [])
)
df = D.features(instruments, exprs, start_time, end_time, freq=freq, inst_processors=inst_processors)
df.columns = names
# NOTE: InstProcessors may add new columns
if len(inst_processors):
df.rename(columns=dict(zip(remove_repeat_field(remove_fields_space(exprs)), names)), inplace=True)
else:
df.columns = names

if self.swap_level:
df = df.swaplevel().sort_index() # NOTE: if swaplevel, return <datetime, instrument>
return df
Expand Down
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