Sélectionner des lignes avec « logic »
Introduction à la Data Science en Python
Hillary Green-Lerman
Lead Data Scientist, Looker
Poursuite de l'enquête
print(credit_records.head())
suspect location date item price
0 Kirstine Smith Groceries R Us January 6, 2018 broccoli 1.25
1 Gertrude Cox Petroleum Plaza January 6, 2018 fizzy drink 1.90
2 Fred Frequentist Groceries R Us January 6, 2018 broccoli 1.25
3 Gertrude Cox Groceries R Us January 12, 2018 broccoli 1.25
4 Kirstine Smith Clothing Club January 9, 2018 shirt 14.25
Expressions logiques en Python
question = 12 * 8
solution = 96
question == solution
True
Booléens : True et False
Autres types de logique
, >=, <, <=
price = 2.25
price > 5.00
False
Différent de
name = 'bayes'
name != 'Bayes'
True
Utilisation de « logic » avec les DataFrames
credit_records.price > 20.00
0 False
1 False
2 False
3 False
4 True
5 False
...
99 True
100 True
101 True
102 False
103 False
Utilisation de « logic » avec les DataFrames
credit_records[credit_records.price > 20.00]
suspect location date item price
28 Fred Frequentist Clothing Club January 3, 2018 dress 20.15
29 Kirstine Smith Clothing Club January 5, 2018 dress 20.15
33 Ronald Aylmer Fisher Petroleum Plaza January 7, 2018 gas 24.95
37 Fred Frequentist Clothing Club January 8, 2018 dress 20.15
40 Gertrude Cox Clothing Club January 1, 2018 dress 20.15
41 Kirstine Smith Petroleum Plaza January 5, 2018 gas 24.95
...
Utilisation de « logic » avec les DataFrames
Utilisation de « logic » avec les DataFrames
credit_records[credit_records.suspect == 'Ronald Aylmer Fisher']
suspect location date item price
7 Ronald Aylmer Fisher Clothing Club January 8, 2018 pants 12.05
8 Ronald Aylmer Fisher Clothing Club January 13, 2018 shirt 14.25
12 Ronald Aylmer Fisher Petroleum Plaza January 10, 2018 carwash 13.25
22 Ronald Aylmer Fisher Groceries R Us January 13, 2018 eggs 6.50
26 Ronald Aylmer Fisher Burger Mart January 8, 2018 fries 1.95
...
Passons à la pratique !
Introduction à la Data Science en Python
