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https://github.com/eurobios-mews-labs/data-relation
This repository provides tools for automatically detecting relationships between two tables.
https://github.com/eurobios-mews-labs/data-relation
Last synced: 8 days ago
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This repository provides tools for automatically detecting relationships between two tables.
- Host: GitHub
- URL: https://github.com/eurobios-mews-labs/data-relation
- Owner: eurobios-mews-labs
- License: apache-2.0
- Created: 2024-07-01T08:07:00.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2024-07-15T07:58:34.000Z (6 months ago)
- Last Synced: 2024-11-08T09:06:40.844Z (2 months ago)
- Language: Python
- Size: 37.1 KB
- Stars: 0
- Watchers: 0
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Data Relation
## Getting started
```python
https://github.com/eurobios-mews-labs/data-relation.git
```
This package can be used to identify relationships between different indexes in different tables.
This package allows you to determine, for a given table, which columns represent an index and which columns represent data.
## Basic usage
* **Identification of columns index**
```python
from data_relation import Variable
from data_relation import Table
import openml
dataset = openml.datasets.get_dataset('SpeedDating')
X, y, _, _ = dataset.get_data(dataset_format="dataframe")
df1 = X[['gender', 'age', 'age_o', 'd_age', 'd_d_age', 'race', 'race_o', 'pref_o_ambitious',
'pref_o_shared_interests']].drop_duplicates()
df2 = X[['race', 'race_o', 'exercise', 'dining']].drop_duplicates()
t1 = Table(df1)
t2 = Table(df2)
```
```shell
print(t1)
0 1
gender index not nunique
age data Float variable
age_o data Float variable
d_age data Date variable
d_d_age index not nunique
race index not nunique
race_o index not nunique
pref_o_ambitious data Float variable
pref_o_shared_interests data Float variable
print(t2)
0 1
race index not nunique
race_o index not nunique
exercise data Float variable
dining data Float variable
```
* **Identification of relations between index**
```python
relations_by_name = t1.get_relations_by_name(t2)
relations_by_pairs = t1.get_relations_by_pairs(t2)
```
```shell
print(relations_by_name)
relation constraint_on_column_1 constraint_on_column_2
race N:M mandatory mandatory
race_o N:M mandatory mandatory
print(relations_by_pairs)
relation constraint_on_column_1 constraint_on_column_2
(race, race) N:M mandatory mandatory
(race, race_o) N:M mandatory mandatory
(race_o, race) N:M mandatory mandatory
(race_o, race_o) N:M mandatory mandatory
```