bourdieuvectors

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)

Source distribution for bourdieuvectors 0.1.4
File	Size	Uploaded
bourdieuvectors-0.1.4.tar.gz	16.8 kB	Oct 19, 2025	Details

Built distribution (wheel)

Table of built distributions (wheels) for bourdieuvectors 0.1.4
File	Interpreter	ABI	Platform	Reset
bourdieuvectors-0.1.4-py2.py3-none-any.whl 16.6 kB Oct 19, 2025	Python 2, Python 3	none	any	Details

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	`a3aeefdeb8af93859f6f8bf8e1e936c88a845e088d2f94e828f250cef7ea629b`
BLAKE2b-256 checksum How to use checksums	`c9ee588b6da1fcaf8b8382a4f5691e156596e6f7046a30acf3290f5733eeb557`
Upload date	Oct 19, 2025
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	`836f6f8ca5e8557ee4b24085fd5d02406499ee66e57dcd683f097f8bf7a73cf6`
BLAKE2b-256 checksum How to use checksums	`5277787469213f6dafdaaef3ed55ddaa0e35758056b9e78c91844a41919abbdd`
Upload date	Oct 19, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/5.1.1 CPython/3.12.12`