TypeError: cannot directly convert an xarray.Dataset into a numpy array这个错误表明你尝试直接将一个xarray.Dataset对象转换为numpy数组,但这是不允许的,因为xarray.Dataset包含多个变量(类似于pandas的DataFrame),而numpy数组是单一的数据结构。 2. 研究转换方法 要从xarray.Dataset中提取数据并转换为numpy数组,你可...
compounded:Series或DataFrame(如果指定了级别) 例子, >>>importpandasaspd >>> df = pd.DataFrame({'A': [5,2],'B': [4,8]}) >>> print(df.compound()) A17 B44 dtype: int64
pandas: 0.23.4 pytest: None pip: 9.0.1 setuptools: 20.7.0 Cython: None numpy: 1.15.0 scipy: 1.1.0 pyarrow: None xarray: None IPython: 6.2.1 sphinx: None patsy: 0.5.0 dateutil: 2.6.1 pytz: 2018.3 blosc: None bottleneck: None ...
xarray : None xlrd : None zstandard : None tzdata : 2024.1 qtpy : None pyqt5 : None Tishj added Bug Needs Triage labels Apr 30, 2024 mroeschke changed the title BUG: DataFrame convert_dtype='pyarrow' with int64_t limits throws Warning BUG: DataFrame.convert_dtype with int64_t limits ...
pandas_gbq : None pyarrow : 0.15.1 pytables : None pyxlsb : None s3fs : None scipy : 1.3.3 sqlalchemy : 1.3.11 tables : None tabulate : None xarray : None xlrd : 1.2.0 xlwt : None numba : None capelastegui added Bug Needs Triage labels Aug 10, 2020 jorisvandenbossche added ...
pip install numpy==1.26.4 pandas==2.2.3 import numpy, pandas numpy._set_promotion_state("weak_and_warn") x = pandas.DataFrame({"x": [1]}) print(x) Issue Description If using numpy 1.26, and numpy is set to "weak" or "weak_and_warn" promotion mode (meant to be compatible wi...
pandas_gbq : 0.24.0 pyarrow : 17.0.0 pyreadstat : None python-calamine : None pyxlsb : None s3fs : None scipy : 1.13.1 sqlalchemy : 2.0.36 tables : 3.8.0 tabulate : 0.9.0 xarray : 2024.10.0 xlrd : 2.0.1 zstandard : None tzdata : 2024.2 qtpy : None pyqt5 : NoneIb...
pandas_gbq : None psycopg2 : None pymysql : None pyarrow : None pyreadstat : None pytest : None python-calamine : None pyxlsb : None s3fs : None scipy : None sqlalchemy : None tables : None tabulate : None xarray : None xlrd : None xlsxwriter : None zstandard : None tzdata : 202...
I have checked that this issue has not already been reported. I have confirmed this bug exists on thelatest versionof pandas. I have confirmed this bug exists on themain branchof pandas. Reproducible Example importpandasaspddf=pd.DataFrame({"some_dates": ["1/1/2025","12/1/2025","13/1...
Pandas version checks I have checked that this issue has not already been reported. I have confirmed this bug exists on the latest version of pandas. I have confirmed this bug exists on the main branch of pandas. Reproducible Example Ste...