dataprep
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Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
**Describe the bug** When using clean_country on pd Dataframe with python 3.10 the cleaning process does run but shows the following error message: > C:\ProgramData\Anaconda3\lib\site-packages\dask\dataframe\core.py:6641: FutureWarning: Meta is not valid,...
Bumps [minimatch](https://github.com/isaacs/minimatch) from 3.0.4 to 3.1.2. Commits 699c459 3.1.2 2f2b5ff fix: trim pattern 25d7c0d 3.1.1 55dda29 fix: treat nocase:true as always having magic 5e1fb8d 3.1.0 f8145c5 Add 'allowWindowsEscape' option 570e8b1...
I'm trying to generate report for EDA for a very large dataset and it keeps throwing me a singular matrix error. Dataprep version is 0.4.3, the data is sensitive, and...
Bumps [joblib](https://github.com/joblib/joblib) from 1.1.0 to 1.2.0. Changelog Sourced from joblib's changelog. Release 1.2.0 Fix a security issue where eval(pre_dispatch) could potentially run arbitrary code. Now only basic numerics are supported....
Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.20.1 to 3.20.2. Release notes Sourced from protobuf's releases. Protocol Buffers v3.20.2 C++ Reduce memory consumption of MessageSet parsing This release addresses a Security Advisory for C++...
ERROR: Failed building wheel for pyzmq Failed to build levenshtein pyzmq ERROR: Could not build wheels for levenshtein, pyzmq, which is required to install pyproject.toml-based projects
**Is your feature request related to a problem? Please describe.** Most Linux distributions build Python packages/modules from source, and generally prefer not to use PyPi as an upstream source. See...
**Describe the bug** clean_au_abn returns an empty frame, whereas validate_au_abn works fine **To Reproduce** Steps to reproduce the behavior: ```python import pandas as pd import numpy as np from dataprep.clean...
Hi, Is it possible to make this module pydantic v2 and v1 compatible? If you import from pydantic.v1 it'll work with pydantic >=1.10.15 or >=2. See [here](https://github.com/pydantic/pydantic/releases/tag/v1.10.15). Thanks!