2017-09-14 58 views
2

我有我的代碼解析錯誤,下面是代碼,幾乎可以理解的數據集類型錯誤:strptime()參數1必須海峽,不浮

import numpy as np 
import pandas as pd 
from datetime import datetime as dt 

data0 = pd.read_csv('2009-10.csv') 
data1 = pd.read_csv('2010-11.csv') 

def parse_date(date): 
    if date == '': 
     return None 
    else: 
     return dt.strptime(date, '%d/%m/%y').date() 

data0.Date = data0.Date.apply(parse_date) 
data1.Date = data1.Date.apply(parse_date) 

類型錯誤:strptime()參數1必須海峽,不浮

Date HomeTeam AwayTeam FTHG FTAG FTR HTHG HTAG HTR Referee HS AS HST AST HF AF HC AC HY AY HR AR B365H B365D B365A 
15/08/09 Aston Villa Wigan 0 2 A 0 1 A M Clattenburg 11 14 5 7 15 14 4 6 2 2 0 0 1.67 3.6 5.5 
15/08/09 Blackburn Man City 0 2 A 0 1 A M Dean 17 8 9 5 12 9 5 4 2 1 0 0 3.6 3.25 2.1 
15/08/09 Bolton Sunderland 0 1 A 0 1 A A Marriner 11 20 3 13 16 10 4 7 2 1 0 0 2.25 3.25 3.25 
15/08/09 Chelsea Hull 2 1 H 1 1 D A Wiley 26 7 12 3 13 15 12 4 1 2 0 0 1.17 6.5 21 
15/08/09 Everton Arsenal 1 6 A 0 3 A M Halsey 8 15 5 9 11 13 4 9 0 0 0 0 3.2 3.25 2.3 

Date HomeTeam AwayTeam FTHG FTAG FTR HTHG HTAG HTR Referee HS AS HST AST HF AF HC AC HY AY HR AR B365H B365D B365A 
14/08/10 Aston Villa West Ham 3 0 H 2 0 H M Dean 23 12 11 2 15 15 16 7 1 2 0 0 2 3.3 4 
14/08/10 Blackburn Everton 1 0 H 1 0 H P Dowd 7 17 2 12 19 14 1 3 2 1 0 0 2.88 3.25 2.5 
14/08/10 Bolton Fulham 0 0 D 0 0 D S Attwell 13 12 9 7 12 13 4 8 1 3 0 0 2.2 3.3 3.4 
14/08/10 Chelsea West Brom 6 0 H 2 0 H M Clattenburg 18 10 13 4 10 10 3 1 1 0 0 0 1.17 7 17 
14/08/10 Sunderland Birmingham 2 2 D 1 0 H A Taylor 6 13 2 7 13 10 3 6 3 3 1 0 2.1 3.3 3.6 
14/08/10 Tottenham Man City 0 0 D 0 0 D A Marriner 22 11 18 7 13 16 10 3 0 2 0 0 2.4 3.3 3 

回答

0

IIUC,我覺得你把字符串轉化日期時間dtypes。

您可以使用熊貓to_datetime

data0['Date'] = pd.to_datetime(data0['Date'], format='%d/%m/%y') 
data1['Date'] = pd.to_datetime(data1['Date'], format='%d/%m/%y') 
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