(?<!\d)([0-9]{5}-[0-9]{4}-[0-9]{2})(?!\d)
Explained:
- ?> lookbehind
- ?<! negative lookbehind
- \d digit only
- ? lookahead
- ?! negative lookahead
- [0-9]{5}-[0-9]{4}-[0-9]{2} a specific pattern #####-####-##
View regex_numbers_formatted.md
SHi-ON
/ us_state_abbreviations.py
Last active Nov 12, 2019
— forked from JeffPaine/us_state_abbreviations.py
A python list of all US states abbreviations. Alphabetically sorted!
View us_state_abbreviations.py
| # alphabetically sorted | |
| # 50 states + D.C = 51 | |
| STATES = ["AK", "AL", "AR", "AZ", "CA", "CO", "CT", "DC", "DE", "FL", | |
| "GA", "HI", "IA", "ID", "IL", "IN", "KS", "KY", "LA", "MA", | |
| "MD", "ME", "MI", "MN", "MO", "MS", "MT", "NC", "ND", "NE", | |
| "NH", "NJ", "NM", "NV", "NY", "OH", "OK", "OR", "PA", "RI", | |
| "SC", "SD", "TN", "TX", "UT", "VA", "VT", "WA", "WI", "WV", | |
| "WY"] |
SHi-ON
/ stratify_experiment.py
Created Mar 10, 2019
An expirement to show how stratify option works
View stratify_experiment.py
| # Experiment to confirm the effect of stratify option in Scikit Learn, tran_test_split() method. | |
| # by Shayan Amani | |
| from sklearn.model_selection import train_test_split | |
| import pandas as pd | |
| raw_data = pd.read_csv("codebase/adrel/dataset/train.csv") | |
| cnt = raw_data.groupby('label').count() | |
| ''' experiment begins ''' |