froid: dream analysis in Python
froid is a Python toolbox for analyzing dream reports.
The raw format of dream reports are text, and there are many other packages with tools to process text. Thus, froid only focuses on text analyses that might be specific to dream research. The main features of froid are to:
- preprocessing
- determing if a text is a dream report or not
- remove non-dream content from a dream report
- quantification
- Hall and Van de Castle ratings
- lucidity ratings
- presence of common dream themes
- datasets
- easily access public dream datasets
- normalization
- compare to published dream "norms"
See tutorials for more.
Metadata
Release files for froid 0.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| froid-0.0.0.tar.gz | 2.9 kB | Without provenance | Details for froid-0.0.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| froid-0.0.0-py3-none-any.whl | Python 3 | none | any | Details for froid-0.0.0-py3-none-any.whl |
Total release size: 6.8 kB
Release files / froid-0.0.0.tar.gz
| Download URL | froid-0.0.0.tar.gz |
|---|---|
| Size | 2.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/4.0.2 CPython/3.9.6
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Release files / froid-0.0.0-py3-none-any.whl
| Download URL | froid-0.0.0-py3-none-any.whl |
|---|---|
| Size | 3.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.6
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Security for froid 0.0.0
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