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...
To utilize df as a name in your if statement, it is necessary to assign it a value. Suitable empty values includeNoneand a dataframe without any rows. Let's assume the latter option. import pandas df = None for i in range(100): if df is None: # Your default dataframe here. # You...
Inferring the type of a column in pandas in general seems complex to impossible. E.g. unstack-ing an int64 dtype that introduces NaNs (missing data) will convert the int64 to float64. We can't really prove anything other than the return value being DataFrame. Even with mypy plugins this...
'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 ...
pandas 2.0.1 parso 0.8.3 pathos 0.3.0 pickleshare 0.7.5 piexif 1.1.3 pillow 9.5.0 pip 23.1.2 platformdirs 4.0.0 portalocker 2.7.0 pox 0.3.2 ppft 1.7.6.6 prompt-toolkit 3.0.39 protobuf 3.20.0 psutil 5.9.5 pure-eval 0.2.2 py-cpuinfo 9.0.0 pyasn1 0.5.0 pyasn1-modules 0.3.0 ...
def test_feature_name_validation_missing_columns_drop_passthough(): """Test the interaction between {'drop', 'passthrough'} and missing column names.""" pd = pytest.importorskip("pandas") X = np.ones(shape=(3, 4)) df = pd.DataFrame(X, columns=['a', 'b', 'c', 'd']) df_...
def test_feature_name_validation_missing_columns_drop_passthough(): """Test the interaction between {'drop', 'passthrough'} and missing column names.""" pd = pytest.importorskip("pandas") X = np.ones(shape=(3, 4)) df = pd.DataFrame(X, columns=['a', 'b', 'c', 'd']) df_...