Is there an existing issue for this? I have searched the existing issues and checked the recent builds/commits What happened? RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0! (when checking argument for argument weight in metho...
See also python/typing#478 (comment) for more on use cases for literal values in types for pandas. I agree that this would be very helpful. For pandas and DataFrame libraries more generally, we could really use a generic version of mypy's TypedDict to indicate dtypes per column. Something...
Python - Function for test if variable exist, 2 Answers. It is possible, but you should probably consider what you're trying to accomplish, you could use something like this: if x in locals () or x in globals (): You need to test by name of the variable, not content, e.g., 'x...
'get' attribute not found in django's 'function' object Retrieving the index of a value in a Python array Mean used by pandas to substitute missing values in column Specific domain receives a 'Forbidden' message from Apache, denying access to a particular r...
In [1]: import numpy as np In [2]: import pandas as pd In [3]: ser = pd.Series([1, 2, np.nan, 4]) In [4]: pd.isnull(ser) Out[4]: 0 False 1 False 2 True 3 False dtype: bool 请注意,np.nan == np.nan 返回False,因此你应该避免与 np.nan 进行比较: In [5]: ser ...
Should allow for added columns in `transform` input DataFrame as long as all preceding columns match. """ pd = pytest.importorskip('pandas') X_fit_array = np.array([[0, 1, 2], [2, 4, 6]]).T X_fit_df = pd.DataFrame(X_fit_array, columns=['first', 'second']) X_trans_ar...
ignore_missing_imports = true [dependency-groups] dev = [ "apache-airflow==2.10.4", # aligned with base Docker image "mypy>=1.15.0", "pytest>=8.3.4", "pytest-cov>=6.0.0", "python-dotenv>=1.0.1", "ruff>=0.9.4", # packages with type info, for mypy "pandas-stubs", "sqlalch...
Should allow for added columns in `transform` input DataFrame as long as all preceding columns match. """ pd = pytest.importorskip('pandas') X_fit_array = np.array([[0, 1, 2], [2, 4, 6]]).T X_fit_df = pd.DataFrame(X_fit_array, columns=['first', 'second']) X_trans_ar...