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https://github.com/microsoft/qlib.git
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Merge branch 'main' of github.com:microsoft/qlib into fshare
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@@ -70,3 +70,31 @@ If the issue is not resolved, use ``keys *`` to find if multiple keys exist. If
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Also, feel free to post a new issue in our GitHub repository. We always check each issue carefully and try our best to solve them.
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3. ModuleNotFoundError: No module named 'qlib.data._libs.rolling'
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------------------------------------------------------------------------------------------------------------------------------------
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.. code-block:: python
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#### Do not import qlib package in the repository directory in case of importing qlib from . without compiling #####
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Traceback (most recent call last):
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File "<stdin>", line 1, in <module>
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File "qlib/qlib/__init__.py", line 19, in init
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from .data.cache import H
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File "qlib/qlib/data/__init__.py", line 8, in <module>
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from .data import (
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File "qlib/qlib/data/data.py", line 20, in <module>
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from .cache import H
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File "qlib/qlib/data/cache.py", line 36, in <module>
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from .ops import Operators
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File "qlib/qlib/data/ops.py", line 19, in <module>
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from ._libs.rolling import rolling_slope, rolling_rsquare, rolling_resi
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ModuleNotFoundError: No module named 'qlib.data._libs.rolling'
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- If the error occurs when importing ``qlib`` package with ``PyCharm`` IDE, users can execute the following command in the project root folder to compile Cython files and generate executable files:
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.. code-block:: bash
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python setup.py build_ext --inplace
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- If the error occurs when importing ``qlib`` package with command ``python`` , users need to change the running directory to ensure that the script does not run in the project directory.
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@@ -1182,7 +1182,7 @@ class Slope(Rolling):
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Returns
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----------
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Expression
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a feature instance with regression slope of given window
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a feature instance with linear regression slope of given window
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"""
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def __init__(self, feature, N):
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@@ -1210,7 +1210,7 @@ class Rsquare(Rolling):
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Returns
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----------
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Expression
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a feature instance with regression r-value square of given window
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a feature instance with linear regression r-value square of given window
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"""
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def __init__(self, feature, N):
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@@ -10,10 +10,10 @@ pip install -r requirements.txt
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```bash
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# parse instruments, using in qlib/instruments.
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python collector.py --index_name SP500 --qlib_dir ~/.qlib/qlib_data/cn_data --method parse_instruments
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python collector.py --index_name SP500 --qlib_dir ~/.qlib/qlib_data/us_data --method parse_instruments
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# parse new companies
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python collector.py --index_name SP500 --qlib_dir ~/.qlib/qlib_data/cn_data --method save_new_companies
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python collector.py --index_name SP500 --qlib_dir ~/.qlib/qlib_data/us_data --method save_new_companies
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# index_name support: SP500, NASDAQ100, DJIA, SP400
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# help
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@@ -48,7 +48,7 @@ python scripts/get_data.py qlib_data --target_dir ~/.qlib/qlib_data/qlib_cn_1d -
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import qlib
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from qlib.data import D
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qlib.init(provider_uri="~/.qlib/qlib_data/qlib_cn_1d", region="CN")
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qlib.init(provider_uri="~/.qlib/qlib_data/qlib_cn_1d", region="cn")
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df = D.features(D.instruments("all"), ["$close"], freq="day")
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```
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@@ -78,7 +78,7 @@ python scripts/get_data.py qlib_data --target_dir ~/.qlib/qlib_data/qlib_cn_1min
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import qlib
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from qlib.data import D
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qlib.init(provider_uri="~/.qlib/qlib_data/qlib_cn_1min", region="CN")
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qlib.init(provider_uri="~/.qlib/qlib_data/qlib_cn_1min", region="cn")
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df = D.features(D.instruments("all"), ["$close"], freq="1min")
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```
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@@ -97,7 +97,7 @@ python collector.py normalize_data --source_dir ~/.qlib/stock_data/source/us_1d
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# dump data
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cd qlib/scripts
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python dump_bin.py dump_all --csv_path ~/.qlib/stock_data/source/cn_1d_nor --qlib_dir ~/.qlib/stock_data/source/qlib_us_1d --freq day --exclude_fields date,adjclose,dividends,splits,symbol
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python dump_bin.py dump_all --csv_path ~/.qlib/stock_data/source/us_1d_nor --qlib_dir ~/.qlib/stock_data/source/qlib_us_1d --freq day --exclude_fields date,adjclose,dividends,splits,symbol
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```
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#### 1d from qlib
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@@ -113,7 +113,7 @@ python scripts/get_data.py qlib_data --target_dir ~/.qlib/qlib_data/qlib_us_1d -
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import qlib
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from qlib.data import D
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qlib.init(provider_uri="~/.qlib/qlib_data/qlib_us_1d", region="US")
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qlib.init(provider_uri="~/.qlib/qlib_data/qlib_us_1d", region="us")
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df = D.features(D.instruments("all"), ["$close"], freq="day")
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```
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