This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| version: '3' | |
| services: | |
| db: | |
| image: postgis/postgis:12-2.5 | |
| ports: | |
| - '5432:5432' | |
| environment: | |
| POSTGRES_HOST_AUTH_METHOD: trust | |
| POSTGRES_DB: "airflow" | |
| POSTGRES_USER: "airflow" |
symeneses
/ pandas_dynamic_filter.py
Created
June 9, 2020 19:38
Filter pandas dataframe with column as condition
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import pandas as pd | |
| data = pd.DataFrame([{'id':1, 'name': 'abc', 'condition': 'name == "sss"'}, | |
| {'id':2, 'name': 'abc', 'condition': 'id == 2'}, | |
| {'id':3, 'name': 'sym', 'condition': 'name == "abc"'}, | |
| {'id':4, 'name': 'sym', 'condition': 'name == "sym"'}]) | |
| data.reset_index(inplace=True) | |
| data.condition = data.apply(lambda x: x['condition'] + ' & index == ' + str(x['index']) +'', axis=1) | |
| data.iloc[data.eval(data.condition).max(axis=1)==0, :] |