bourdieuvectors is a library that allows to inferr bourdieuvectors. Usage see https://bourdieuvectors.com/.
Installation
Install this library using pip.
Supported Python Versions
Python >= 3.6
Mac/Linux
pip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install bourdieuvectors
Windows
pip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install bourdieuvectors
Example Usage
Extends a Pandas DataFrame with the vectors.
import pandas as pd
from bourdieuvectors import get_bourdieu_vector
data = pd.DataFrame({
"cultural_event": ["american football"]
})
vector_df = data["cultural_event"].apply(get_bourdieu_vector).apply(pd.Series)
data_with_vectors = pd.concat([data, vector_df], axis=1)
print(data_with_vectors)
data_with_vectors.to_csv("bourdieuvectors_data.csv")
Metadata
Release files for bourdieuvectors 0.1.4
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 |
|---|---|---|---|---|
| bourdieuvectors-0.1.4.tar.gz | 16.8 kB | Without provenance | Details for bourdieuvectors-0.1.4.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| bourdieuvectors-0.1.4-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details for bourdieuvectors-0.1.4-py2.py3-none-any.whl |
Total release size: 33.4 kB
Release files / bourdieuvectors-0.1.4.tar.gz
| Download URL | bourdieuvectors-0.1.4.tar.gz |
|---|---|
| Size | 16.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.12
|
Release files / bourdieuvectors-0.1.4-py2.py3-none-any.whl
| Download URL | bourdieuvectors-0.1.4-py2.py3-none-any.whl |
|---|---|
| Size | 16.6 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.12
|
Security for bourdieuvectors 0.1.4
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