| Name | ninetydf JSON |
| Version |
0.7.1
JSON |
| download |
| home_page | |
| Summary | 90 Day Fiancé DataFrames |
| upload_time | 2023-09-24 03:07:25 |
| maintainer | |
| docs_url | None |
| author | 90df |
| requires_python | |
| license | MIT |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# ninetydf
90 Day Fiancé DataFrames
## Installing
To use the DataFrames, install `pandas` separately or with the extra:
```bash
pip install ninetydf[pandas]
```
Without pandas, the data can be imported as a list of dataclasses.
## Example with Data Classes
```python
from ninetydf import couples_list, seasons_list
def main():
for couple in couples_list[:5]:
print(couple)
for season in seasons_list[:5]:
print(season)
if __name__ == "__main__":
main()
```
**Output**:
```bash
Couple(show_id='90DF', show_name='90 Day Fiancé', season=1, season_id='90DF_1', couple_name='Alan & Kirlyam', couple_id='alan_kirlyam', appearance_id='alan_kirlyam_90DF_1', person_id_x='alan_cox', person_id_y='kirlyam')
Couple(show_id='90DF', show_name='90 Day Fiancé', season=1, season_id='90DF_1', couple_name='Louis & Aya', couple_id='louis_aya', appearance_id='louis_aya_90DF_1', person_id_x='louis_gattone', person_id_y='aya')
Couple(show_id='90DF', show_name='90 Day Fiancé', season=1, season_id='90DF_1', couple_name='Mike & Aziza', couple_id='mike_aziza', appearance_id='mike_aziza_90DF_1', person_id_x='mike_eloshway', person_id_y='aziza_mazhidova')
Couple(show_id='90DF', show_name='90 Day Fiancé', season=1, season_id='90DF_1', couple_name='Russ & Paola', couple_id='russ_paola', appearance_id='russ_paola_90DF_1', person_id_x='russ_mayfield', person_id_y='paola_blaze')
Couple(show_id='90DF', show_name='90 Day Fiancé', season=2, season_id='90DF_2', couple_name='Brett & Daya', couple_id='brett_daya', appearance_id='brett_daya_90DF_2', person_id_x='brett_otto', person_id_y='daya_de_arce')
Season(show_id='90DF', show_name='90 Day Fiancé', season=1, season_id='90DF_1', start_date='2014-01-12', end_date='2014-02-23')
Season(show_id='90DF', show_name='90 Day Fiancé', season=2, season_id='90DF_2', start_date='2014-10-19', end_date='2014-12-28')
Season(show_id='90DF', show_name='90 Day Fiancé', season=3, season_id='90DF_3', start_date='2015-10-11', end_date='2015-12-06')
Season(show_id='90DF', show_name='90 Day Fiancé', season=4, season_id='90DF_4', start_date='2016-08-22', end_date='2016-11-20')
Season(show_id='90DF', show_name='90 Day Fiancé', season=5, season_id='90DF_5', start_date='2017-10-08', end_date='2017-12-18')
```
## Example with Pandas
```python
from ninetydf import couples_df, seasons_df
def main():
print(couples_df.head(10))
print(seasons_df.head(10))
if __name__ == "__main__":
main()
```
**Output**:
```bash
show_id show_name season season_id couple_name couple_id appearance_id person_id_x person_id_y
0 90DF 90 Day Fiancé 1 90DF_1 Alan & Kirlyam alan_kirlyam alan_kirlyam_90DF_1 alan_cox kirlyam
1 90DF 90 Day Fiancé 1 90DF_1 Louis & Aya louis_aya louis_aya_90DF_1 louis_gattone aya
2 90DF 90 Day Fiancé 1 90DF_1 Mike & Aziza mike_aziza mike_aziza_90DF_1 mike_eloshway aziza_mazhidova
3 90DF 90 Day Fiancé 1 90DF_1 Russ & Paola russ_paola russ_paola_90DF_1 russ_mayfield paola_blaze
4 90DF 90 Day Fiancé 2 90DF_2 Brett & Daya brett_daya brett_daya_90DF_2 brett_otto daya_de_arce
5 90DF 90 Day Fiancé 2 90DF_2 Chelsea & Yamir chelsea_yamir chelsea_yamir_90DF_2 chelsea_macek yamir_castillo
6 90DF 90 Day Fiancé 2 90DF_2 Danielle & Mohamed danielle_mohamed danielle_mohamed_90DF_2 danielle_mullins mohamed_jbali
7 90DF 90 Day Fiancé 2 90DF_2 Danny & Amy danny_amy danny_amy_90DF_2 danny_frishmuth amy
8 90DF 90 Day Fiancé 2 90DF_2 Jason & Cássia jason_cassia jason_cassia_90DF_2 jason_hitch cassia_tavares
9 90DF 90 Day Fiancé 2 90DF_2 Justin & Evelyn justin_evelyn justin_evelyn_90DF_2 justin_halas evelyn
show_id show_name season season_id start_date end_date
0 90DF 90 Day Fiancé 1 90DF_1 2014-01-12 2014-02-23
1 90DF 90 Day Fiancé 2 90DF_2 2014-10-19 2014-12-28
2 90DF 90 Day Fiancé 3 90DF_3 2015-10-11 2015-12-06
3 90DF 90 Day Fiancé 4 90DF_4 2016-08-22 2016-11-20
4 90DF 90 Day Fiancé 5 90DF_5 2017-10-08 2017-12-18
5 90DF 90 Day Fiancé 6 90DF_6 2018-10-21 2019-01-13
6 90DF 90 Day Fiancé 7 90DF_7 2019-11-03 2020-02-17
7 90DF 90 Day Fiancé 8 90DF_8 2020-12-06 2021-02-21
8 90DF 90 Day Fiancé 9 90DF_9 2022-04-17 2022-08-21
9 B90 90 Day Fiancé: Before the 90 Days 1 B90_1 2017-08-06 2017-10-30
```
## Disclaimer
The data provided in this repository related to "90 Day Fiancé" (the "Data")
is intended for educational and research purposes only. The Data might be
copyrighted and/or subject to other legal protections.
Users agree to the following terms when using the Data:
1. Not to use the Data for commercial purposes.
2. To use the Data in a fair and ethical manner, respecting the rights of the original creators and copyright holders.
3. That they are solely responsible for any legal implications or violations arising from their use of the Data.
4. Not to distribute or reproduce the Data without explicit permission from the original copyright holders.
5. To provide proper attribution when referencing the Data in any publications or outputs.
**This repository and its maintainers are not affiliated with, endorsed by,
or sponsored by the creators or copyright holders of "90 Day Fiancé".**
Any use of the Data is at the user's own risk, and the maintainers
of this repository disclaim any and all liability related thereto.
Raw data
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"description": "# ninetydf\n\n90 Day Fianc\u00e9 DataFrames\n\n## Installing\n\nTo use the DataFrames, install `pandas` separately or with the extra:\n\n```bash\npip install ninetydf[pandas]\n```\n\nWithout pandas, the data can be imported as a list of dataclasses.\n\n## Example with Data Classes\n\n```python\nfrom ninetydf import couples_list, seasons_list\n\n\ndef main():\n for couple in couples_list[:5]:\n print(couple)\n for season in seasons_list[:5]:\n print(season)\n\n\nif __name__ == \"__main__\":\n main()\n\n```\n\n**Output**:\n\n```bash\nCouple(show_id='90DF', show_name='90 Day Fianc\u00e9', season=1, season_id='90DF_1', couple_name='Alan & Kirlyam', couple_id='alan_kirlyam', appearance_id='alan_kirlyam_90DF_1', person_id_x='alan_cox', person_id_y='kirlyam')\nCouple(show_id='90DF', show_name='90 Day Fianc\u00e9', season=1, season_id='90DF_1', couple_name='Louis & Aya', couple_id='louis_aya', appearance_id='louis_aya_90DF_1', person_id_x='louis_gattone', person_id_y='aya')\nCouple(show_id='90DF', show_name='90 Day Fianc\u00e9', season=1, season_id='90DF_1', couple_name='Mike & Aziza', couple_id='mike_aziza', appearance_id='mike_aziza_90DF_1', person_id_x='mike_eloshway', person_id_y='aziza_mazhidova')\nCouple(show_id='90DF', show_name='90 Day Fianc\u00e9', season=1, season_id='90DF_1', couple_name='Russ & Paola', couple_id='russ_paola', appearance_id='russ_paola_90DF_1', person_id_x='russ_mayfield', person_id_y='paola_blaze')\nCouple(show_id='90DF', show_name='90 Day Fianc\u00e9', season=2, season_id='90DF_2', couple_name='Brett & Daya', couple_id='brett_daya', appearance_id='brett_daya_90DF_2', person_id_x='brett_otto', person_id_y='daya_de_arce')\nSeason(show_id='90DF', show_name='90 Day Fianc\u00e9', season=1, season_id='90DF_1', start_date='2014-01-12', end_date='2014-02-23')\nSeason(show_id='90DF', show_name='90 Day Fianc\u00e9', season=2, season_id='90DF_2', start_date='2014-10-19', end_date='2014-12-28')\nSeason(show_id='90DF', show_name='90 Day Fianc\u00e9', season=3, season_id='90DF_3', start_date='2015-10-11', end_date='2015-12-06')\nSeason(show_id='90DF', show_name='90 Day Fianc\u00e9', season=4, season_id='90DF_4', start_date='2016-08-22', end_date='2016-11-20')\nSeason(show_id='90DF', show_name='90 Day Fianc\u00e9', season=5, season_id='90DF_5', start_date='2017-10-08', end_date='2017-12-18')\n```\n\n## Example with Pandas\n\n```python\nfrom ninetydf import couples_df, seasons_df\n\n\ndef main():\n print(couples_df.head(10))\n print(seasons_df.head(10))\n\n\nif __name__ == \"__main__\":\n main()\n\n```\n\n**Output**:\n\n```bash\n show_id show_name season season_id couple_name couple_id appearance_id person_id_x person_id_y\n0 90DF 90 Day Fianc\u00e9 1 90DF_1 Alan & Kirlyam alan_kirlyam alan_kirlyam_90DF_1 alan_cox kirlyam\n1 90DF 90 Day Fianc\u00e9 1 90DF_1 Louis & Aya louis_aya louis_aya_90DF_1 louis_gattone aya\n2 90DF 90 Day Fianc\u00e9 1 90DF_1 Mike & Aziza mike_aziza mike_aziza_90DF_1 mike_eloshway aziza_mazhidova\n3 90DF 90 Day Fianc\u00e9 1 90DF_1 Russ & Paola russ_paola russ_paola_90DF_1 russ_mayfield paola_blaze\n4 90DF 90 Day Fianc\u00e9 2 90DF_2 Brett & Daya brett_daya brett_daya_90DF_2 brett_otto daya_de_arce\n5 90DF 90 Day Fianc\u00e9 2 90DF_2 Chelsea & Yamir chelsea_yamir chelsea_yamir_90DF_2 chelsea_macek yamir_castillo\n6 90DF 90 Day Fianc\u00e9 2 90DF_2 Danielle & Mohamed danielle_mohamed danielle_mohamed_90DF_2 danielle_mullins mohamed_jbali\n7 90DF 90 Day Fianc\u00e9 2 90DF_2 Danny & Amy danny_amy danny_amy_90DF_2 danny_frishmuth amy\n8 90DF 90 Day Fianc\u00e9 2 90DF_2 Jason & C\u00e1ssia jason_cassia jason_cassia_90DF_2 jason_hitch cassia_tavares\n9 90DF 90 Day Fianc\u00e9 2 90DF_2 Justin & Evelyn justin_evelyn justin_evelyn_90DF_2 justin_halas evelyn\n show_id show_name season season_id start_date end_date\n0 90DF 90 Day Fianc\u00e9 1 90DF_1 2014-01-12 2014-02-23\n1 90DF 90 Day Fianc\u00e9 2 90DF_2 2014-10-19 2014-12-28\n2 90DF 90 Day Fianc\u00e9 3 90DF_3 2015-10-11 2015-12-06\n3 90DF 90 Day Fianc\u00e9 4 90DF_4 2016-08-22 2016-11-20\n4 90DF 90 Day Fianc\u00e9 5 90DF_5 2017-10-08 2017-12-18\n5 90DF 90 Day Fianc\u00e9 6 90DF_6 2018-10-21 2019-01-13\n6 90DF 90 Day Fianc\u00e9 7 90DF_7 2019-11-03 2020-02-17\n7 90DF 90 Day Fianc\u00e9 8 90DF_8 2020-12-06 2021-02-21\n8 90DF 90 Day Fianc\u00e9 9 90DF_9 2022-04-17 2022-08-21\n9 B90 90 Day Fianc\u00e9: Before the 90 Days 1 B90_1 2017-08-06 2017-10-30\n```\n\n## Disclaimer\n\nThe data provided in this repository related to \"90 Day Fianc\u00e9\" (the \"Data\")\nis intended for educational and research purposes only. The Data might be\ncopyrighted and/or subject to other legal protections.\n\nUsers agree to the following terms when using the Data:\n\n1. Not to use the Data for commercial purposes.\n2. To use the Data in a fair and ethical manner, respecting the rights of the original creators and copyright holders.\n3. That they are solely responsible for any legal implications or violations arising from their use of the Data.\n4. Not to distribute or reproduce the Data without explicit permission from the original copyright holders.\n5. To provide proper attribution when referencing the Data in any publications or outputs.\n\n**This repository and its maintainers are not affiliated with, endorsed by,\nor sponsored by the creators or copyright holders of \"90 Day Fianc\u00e9\".**\nAny use of the Data is at the user's own risk, and the maintainers\nof this repository disclaim any and all liability related thereto.\n",
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