Mypy(运行速度非常慢)在pandas系列方法上引发错误

Question

考虑以下代码：

import pandas as pd

def calc_mard(x: pd.Series, y: pd.Series) -> float:
x_at_y_timestamps: pd.Series = x[y.index]
error: pd.Series = y - x_at_y_timestamps
mard: float = 100.0 * (error.abs() / x).mean()
return mard

在包含此代码的文件上从mac终端命令行运行mypy大约需要40秒。这正常吗？发现以下错误：

xxx.py:8: error: "Series[Any]" has no attribute "abs"
Found 1 error in 1 file (checked 1 source file)

我经常收到抱怨熊猫系列方法的错误。这是怎么回事？代码肯定会运行并产生预期的结果。

Answer 1

据我所知，到目前为止，panda还没有打字存根。

例如，当我尝试在下面的脚本上运行mypy时，会出现以下错误。

import pandas as pd

def compute(ser1: pd.Series, ser2: pd.Series) -> float:
return 100.0 * (ser1.abs() / ser2).mean()

if __name__ == '__main__':
ser1: pd.Series = pd.Series([1, 2, 3])
ser2: pd.Series = pd.Series([3, 4, 5])
result = compute(ser1, ser2)
print(result)

pandas_typing.py:1: error: Skipping analyzing 'pandas': found module but no type hints or library stubs
pandas_typing.py:1: note: See https://mypy.readthedocs.io/en/latest/running_mypy.html#missing-imports
Found 1 error in 1 file (checked 1 source file)

我想您已经安装了data-science-types包，它为panda提供了类型存根。

安装后，我确实遇到了同样的错误。

pandas_typing.py:5: error: "Series[Any]" has no attribute "abs"
Found 1 error in 1 file (checked 1 source file)

我仔细查看了代码，注意到Series实际上没有方法abs：https://github.com/predictive-analytics-lab/data-science-types/blob/master/pandas-stubs/core/series.pyi

您可能想在此处提交一个缺少打字存根的问题。https://github.com/predictive-analytics-lab/data-science-types/issues