Researchpy produces Pandas DataFrames that contain relevant statistical testing information that is commonly required for academic research.
Project description
Researchpy produces Pandas DataFrames that contain relevant statistical testing information that is commonly required for academic research. The information is returned as Pandas DataFrames to make for quick and easy exporting of results to any format/method that works with the traditional Pandas DataFrame. researchpy is essentially a wrapper that combines various established packages such as pandas, scipy.stats, and statsmodels to get all the standard required information in one method. If analyses were not available in these packages, code was developed to fill the gap.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file researchpy-0.3.2.tar.gz.
File metadata
- Download URL: researchpy-0.3.2.tar.gz
- Upload date:
- Size: 13.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
78435c815c4ee92be8f7f5668dd5ee61a4ba0e56f22d681ca2220e6015a0e367
|
|
| MD5 |
e23c1badae843a0a393f082214ca58c3
|
|
| BLAKE2b-256 |
8631670b379111529cc749f8c4ed575abcc1e589101a86619b6084170cd0e166
|
File details
Details for the file researchpy-0.3.2-py3-none-any.whl.
File metadata
- Download URL: researchpy-0.3.2-py3-none-any.whl
- Upload date:
- Size: 15.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ba6c46ee3931457691d56ff38ac7e8a214a6ff4d78b439f7b83c719c2d1e9f1d
|
|
| MD5 |
a188f4feee6e6cc85ab4b5c7277cab30
|
|
| BLAKE2b-256 |
8f20e2787cd5eb6d4cfd6bc1f42f5218ca6a2f5552a9fcf021095cd07a4071fd
|
