ImportError: cannot import name '_centered' from 'scipy.signal.signaltools'
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 38/100
- Issue type
- Bug
- Clarity
- Needs clarification
- Activity status
- Active
- Tech stack
- python
- Domain
- data-engineering
Research direction
No repository file or test is named. Start by reproducing the seasonal_decompose import in Databricks with the listed pandas, numpy, scipy, and statsmodels environment, then inspect the dependency compatibility causing _centered to be unavailable. Done means the import works with a supported dependency set, or the required versions and limitation are documented.
Written by the indexing model from the issue text.
Description
Hello,
Getting while importing seasonal decompose-from statsmodels.tsa.seasonal import seasonal_decompose
List of libraries installed on the databricks:
"azure-storage-blob": 12.9.0
"azure-identity": 1.7.1
"azure-keyvault": 4.2.0
"pandas": 1.3.4
"numpy": 1.20.3
"geopandas": 0.9.0
"shapely": 1.7.1
"dill": (latest available version)
"esda": 2.4.1
"rtree": 0.9.7
"scikit-learn": 1.0.1
"numba": 0.54.1
"setuptools": 58.0.4
"libpysal": 4.5.1
"xgboost": 1.4.2
"catboost": 1.0.3
"pyyaml": 6.0.0
"findspark": 1.3.0
"cvxpy": 1.3.0
"apache-sedona": 1.1.0
"scipy": 1.8.1
"hdbscan": 0.8.32
statsmodels
Please guide
- Dominant language
- Scala
- Stars
- 3.2k
- Forks
- 2.9k
- PR merge metrics
- No merged PRs in 30d
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