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使用官方demo:
# 载入函数库 import pandas as pd import jqfactor_analyzer as ja # 获取 jqdatasdk 授权,输入用户名、密码,申请地址:http://t.cn/EINDOxE # 聚宽官网,使用方法参见:http://t.cn/EINcS4j import jqdatasdk jqdatasdk.auth('user', 'passwd') # 获取5日平均换手率因子2018-01-01到2018-12-31之间的数据(示例用从库中直接调取) # 聚宽因子库数据获取方法在下方 from jqfactor_analyzer.sample import VOL5 factor_data = VOL5 # 对因子进行分析 far = ja.analyze_factor( factor_data, # factor_data 为因子值的 pandas.DataFrame quantiles=10, periods=(1, 10), industry='jq_l1', weight_method='avg', max_loss=0.1 )
报错信息如下: 实际上,测试其他因子也报错。
(l2ck) [sunshe35@arch Alphalen-master]$ cd /home/sunshe35/Data/Projects/Alphalen-master ; /usr/bin/env /home/sunshe35/.conda/envs/l2ck/bin/python /home/sunshe35/.vscode/extensions/ms-python.debugpy-2024.6.0-linux-x64/bundled/libs/debugpy/adapter/../../debugpy/launcher 42437 -- /home/sunshe35/Data/Projects/Alphalen-master/test3.py auth success ( 如需更多使用说明请查看API文档:https://www.joinquant.com/help/api/doc?name=JQDatadoc ) /home/sunshe35/.conda/envs/l2ck/lib/python3.11/site-packages/jqfactor_analyzer/analyze.py:258: FutureWarning: The previous implementation of stack is deprecated and will be removed in a future version of pandas. See the What's New notes for pandas 2.1.0 for details. Specify future_stack=True to adopt the new implementation and silence this warning. factor_data = factor_data.stack(dropna=False) Traceback (most recent call last): File "/home/sunshe35/Data/Projects/Alphalen-master/test3.py", line 16, in <module> far = ja.analyze_factor( ^^^^^^^^^^^^^^^^^^ File "/home/sunshe35/.conda/envs/l2ck/lib/python3.11/site-packages/jqfactor_analyzer/__init__.py", line 37, in analyze_factor return FactorAnalyzer(factor, ^^^^^^^^^^^^^^^^^^^^^^ File "/home/sunshe35/.conda/envs/l2ck/lib/python3.11/site-packages/jqfactor_analyzer/analyze.py", line 251, in __init__ self.__gen_clean_factor_and_forward_returns() File "/home/sunshe35/.conda/envs/l2ck/lib/python3.11/site-packages/jqfactor_analyzer/analyze.py", line 290, in __gen_clean_factor_and_forward_returns self._clean_factor_data = get_clean_factor_and_forward_returns( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/sunshe35/.conda/envs/l2ck/lib/python3.11/site-packages/jqfactor_analyzer/prepare.py", line 387, in get_clean_factor_and_forward_returns factor_data = get_clean_factor(factor, forward_returns, groupby=groupby, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/sunshe35/.conda/envs/l2ck/lib/python3.11/site-packages/jqfactor_analyzer/prepare.py", line 296, in get_clean_factor merged_data['factor_quantile'] = quantile_data ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^ File "/home/sunshe35/.conda/envs/l2ck/lib/python3.11/site-packages/pandas/core/frame.py", line 4299, in __setitem__ self._set_item(key, value) File "/home/sunshe35/.conda/envs/l2ck/lib/python3.11/site-packages/pandas/core/frame.py", line 4512, in _set_item value, refs = self._sanitize_column(value) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/sunshe35/.conda/envs/l2ck/lib/python3.11/site-packages/pandas/core/frame.py", line 5250, in _sanitize_column return _reindex_for_setitem(value, self.index) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/sunshe35/.conda/envs/l2ck/lib/python3.11/site-packages/pandas/core/frame.py", line 12674, in _reindex_for_setitem reindexed_value = value.reindex(index)._values ^^^^^^^^^^^^^^^^^^^^ File "/home/sunshe35/.conda/envs/l2ck/lib/python3.11/site-packages/pandas/core/series.py", line 5144, in reindex return super().reindex( ^^^^^^^^^^^^^^^^ File "/home/sunshe35/.conda/envs/l2ck/lib/python3.11/site-packages/pandas/core/generic.py", line 5607, in reindex return self._reindex_axes( ^^^^^^^^^^^^^^^^^^^ File "/home/sunshe35/.conda/envs/l2ck/lib/python3.11/site-packages/pandas/core/generic.py", line 5630, in _reindex_axes new_index, indexer = ax.reindex( ^^^^^^^^^^^ File "/home/sunshe35/.conda/envs/l2ck/lib/python3.11/site-packages/pandas/core/indexes/base.py", line 4422, in reindex indexer = self.get_indexer( ^^^^^^^^^^^^^^^^^ File "/home/sunshe35/.conda/envs/l2ck/lib/python3.11/site-packages/pandas/core/indexes/base.py", line 3953, in get_indexer return self._get_indexer(target, method, limit, tolerance) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/sunshe35/.conda/envs/l2ck/lib/python3.11/site-packages/pandas/core/indexes/base.py", line 3974, in _get_indexer tgt_values = engine._extract_level_codes( # type: ignore[union-attr] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "index.pyx", line 734, in pandas._libs.index.BaseMultiIndexCodesEngine._extract_level_codes File "/home/sunshe35/.conda/envs/l2ck/lib/python3.11/site-packages/pandas/core/indexes/multi.py", line 2579, in _recode_for_new_levels raise AssertionError( AssertionError: Length of new_levels (3) must be <= self.nlevels (2)
The text was updated successfully, but these errors were encountered:
我解决了适配pandas最新版的问题,可以提交吗?
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点赞加支持~~ alphalens也有一样groupby的问题,alphalens-reloaded 已经修复了。
我已经提交了,还没合并通过
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使用官方demo:
报错信息如下:
实际上,测试其他因子也报错。
The text was updated successfully, but these errors were encountered: