Streamlit — A faster way to build and share data apps. - Move all type-only imports to type checking condition (#8871) · streamlit/streamlit@aab099c
Feature Type Adding new functionality to pandas Changing existing functionality in pandas Removing existing functionality in pandas Problem Description Add built-in schema validation capabilities to pandas, similar to those provided by pandera. It should check time series gaps based on datestamp gaps. F...
File"C:\Users\beatwoo\AppData\Roaming\Python\Python312\site-packages\spyder\plugins\updatemanager\workers.py", line166, instartpage=requests.get(url,headers=headers)^^^File"C:\Users\beatwoo\AppData\Roaming\Python\Python312\site-packages\requests\api.py", line73, ingetreturnrequest("get", u...
pandas==2.0.0 datasets==2.11.0 loguru tabulate tqdm jsonargparse[signatures] matplotlib emoji==2.2.0 regex requests wget zstandard @@ -17,4 +20,3 @@ streamlit spacy==3.5.0 multiprocess==0.70.12 dill==0.3.4 ray 4 changes: 0 additions & 4 deletions 4 environments/science_requires.txt ...
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 ...
So if I cast all my variables as ex: b_labels = b_labels.type(torch.LongTensor) and I train on CPU it works (but its super slow) If I want to train on GPU I again cast the tensors to long but then have to cast all of my tensors to GPU (.to(device)) even though I alrea...
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...