我有以下正则表达式：
import pandas as pd
import numpy as np
df = pd.DataFrame({'ID':np.arange(1,21),'Place':['A']*10+['B']*10,'Date':d.to_list() * 2,'event':[0]*5+[1]+[0]*7+[1]+[0]*6,'flag':[0,-3,-2,-1,1,2,3,4,0]},index = np.arange(1,21))
n=3
s = df['event'].rolling(n*2+1,center=True,min_periods=1).max()
s = s.cumsum()
l = ((s - s.where(s.duplicated()).ffill())).fillna(0)
l.update(l[l>n]+1)
df['flag'] = (l - n-1).where(l.gt(0),0)
print(df)
是否可以断言 ID Place Date event flag
1 1 A 2019-01-01 0 0.0
2 2 A 2019-01-02 0 0.0
3 3 A 2019-01-03 0 -3.0
4 4 A 2019-01-04 0 -2.0
5 5 A 2019-01-05 0 -1.0
6 6 A 2019-01-06 1 1.0
7 7 A 2019-01-07 0 2.0
8 8 A 2019-01-08 0 3.0
9 9 A 2019-01-09 0 4.0
10 10 A 2019-01-10 0 0.0
11 11 B 2019-01-01 0 -3.0
12 12 B 2019-01-02 0 -2.0
13 13 B 2019-01-03 0 -1.0
14 14 B 2019-01-04 1 1.0
15 15 B 2019-01-05 0 2.0
16 16 B 2019-01-06 0 3.0
17 17 B 2019-01-07 0 4.0
18 18 B 2019-01-08 0 0.0
19 19 B 2019-01-09 0 0.0
20 20 B 2019-01-10 0 0.0
+ With ThisWorkbook.Sheets(1)
.Range("D5").Value = Counts("RDG1","PW","Sewer Works")
.Range("E5").Value = Counts("RDG1","Sewer Works","PASS")
.Range("F5").Value = Counts("RDG1","FAIL")
'other counts here
End With
'Get row counts from sheet2
' Optional 4rd parameter for PASS/FAIL
Function Counts(v1 As String,v2 As String,v3 As String,Optional v4 As String = "") As Long
Dim rng1 As Range,rng2 As Range,rng3 As Range,rng4 As Range
With ThisWorkbook.Sheets(2)
Set rng1 = .Range("C7:C10000")
Set rng2 = .Range("D7:D10000")
Set rng3 = .Range("G7:G10000")
Set rng4 = .Range("I7:I10000")
If Len(v4) > 0 Then
Counts = Application.CountIfs(rng1,v1,rng2,v2,rng3,v3,rng4,v4)
Else
Counts = Application.CountIfs(rng1,v3)
End If
End With
End Function
的长度至少为8个字符？换句话说，这应该匹配：
^(?P<wrap_0>\()?[-+]?((?P<whole_part>\d+\.?)|(?P<decimal_part>\d*\.\d+))(?(wrap_0)\))$
此处是现有的正则表达式：https://regex101.com/r/rTrCeB/1（PCRE / php样式）。