我已经定义了一个名为"值"的python字典。如上所示,它有几行。如果名为" Risk:的键为高,我试图逐个访问每行的键:值对。我试过像:
for i in range(len(rows)-1):
a = []
if values["Risk"][i]=='high':
a.append(values[key][i])
但问题是它只是追加每个值的第一个字符。因此,而不是获得男性'男性'针对关键性别'我得到了M'。我是python的新手,并不是真正理解这里的问题。 有什么建议? 谢谢!
答案 0 :(得分:0)
花了一段时间后,你应该考虑如何从你正在使用的来源获取数据,因为它们不足以计算它们。我希望能帮到你,但我想如果我知道你的来源是dict
和rows
,我会解决这个问题。如果您想解决此问题并且它对您非常有价值,那么只需在您的问题中添加更多数据。这就是我能写的全部。
答案 1 :(得分:0)
我知道这不是您问题的直接答案,但我认为您遇到困难是因为您存储" loaner"信息。如果你切换到基于类的模型,一切都会变得更容易,更直观,硬编码也更少:
using Newtonsoft.Json;
// This namespace holds all indicators and is required. Do not change it.
namespace NinjaTrader.STSClasses
{
/// <summary>
/// This file holds all user defined indicator methods.
/// </summary>
public class STSmyTrade
{
[JsonProperty("direction")]
public string direction { get; set; }
[JsonProperty("entryprice")]
public double entry { get; set; }
[JsonProperty("exitprice")]
public double exit { get; set; }
[JsonProperty("potentialtarget")]
public double potentialtarget { get; set; }
[JsonProperty("entrytime")]
public DateTime entrytime { get; set; }
[JsonProperty("exittime")]
public DateTime exittime { get; set; }
[JsonProperty("maxfavourable")]
public double mfe { get; set; }
[JsonProperty("maxagainst")]
public double mae { get; set; }
[JsonProperty("maxagainst1ATR")]
public double mae1atr { get; set; }
[JsonProperty("Time1ATR")]
public DateTime time1atr { get; set; }
[JsonProperty("maxagainst2ATR")]
public double mae2atr { get; set; }
[JsonProperty("Time2ATR")]
public DateTime time2atr { get; set; }
[JsonProperty("gains")]
public double gains { get; set; }
[JsonProperty("signal")]
public string signal { get; set; }
[JsonProperty("instrument")]
public string instrument { get; set; }
[JsonProperty("account")]
public string account { get; set; }
[JsonProperty("quantity")]
public int quantity { get; set; }
[JsonProperty("hitedge")]
public bool hitedge { get; set; }
[JsonProperty("RealizedProfitLoss")]
public double RealizedProfitLoss { get; set; }
[JsonProperty("CashValue")]
public double CashValue { get; set; }
[JsonProperty("BuyingPower")]
public double BuyingPower { get; set; }
}
}
{
"direction": "Long",
"entryprice": 1.13211,
"exitprice": 1.13197,
"potentialtarget": 0.00025,
"entrytime": "2016-08-22T13:46:31.7459655-04:00",
"exittime": "2016-08-22T15:46:22.3955682-04:00",
"maxfavourable": 0.00055,
"maxagainst": -0.00035,
"maxagainst1ATR": -0.00035,
"Time1ATR": "0001-01-01T00:00:00",
"maxagainst2ATR": -0.00035,
"Time2ATR": "0001-01-01T00:00:00",
"gains": -0.00015,
"signal": "EnterLongBounce",
"instrument": "$EURUSD",
"account": "InteractiveBrokersindicatorbased",
"quantity": 1,
"hitedge": false,
"RealizedProfitLoss": 0.0,
"CashValue": 0.0,
"BuyingPower": 0.0
}');
输出:
class LoanInfo(object):
__slots__ = ["HairLength","Employed","Age","Student",
"PreviouslyDeclined","Risk","FirstLoan","Gender",
"TypeOfColateral","LifeInsurance"]
def __init__(self,HairLength,Employed,Age,Student,PreviouslyDeclined,Risk,FirstLoan,Gender,TypeOfColateral,LifeInsurance):
self.HairLength = HairLength
self.Employed = Employed
self.Age = Age
self.Student = Student
self.PreviouslyDeclined = PreviouslyDeclined
self.Risk = Risk
self.FirstLoan = FirstLoan
self.Gender = Gender
self.TypeOfColateral = TypeOfColateral
self.LifeInsurance = LifeInsurance
loan_info_1 = LoanInfo('Short', 'Yes', 'Young', 'No', 'No', 'high', 'No', 'Male', 'Car', 'Yes')
loan_info_2 = LoanInfo('Short', 'Yes', 'Young', 'No', 'No', 'high', 'Yes', 'Male', 'Car', 'No')
loaners = [loan_info_1, loan_info_2]
rows = loan_info_1.__slots__ #<-- the slots of the object are the rows you want
high_risk_genders = []
for loaner in loaners:
if loaner.Risk == 'high':
high_risk_genders.append(loaner.Gender)
print high_risk_genders
这是处理问题的更加pythonic方式。 python类有很多帮助,比如http://www.tutorialspoint.com/python/python_classes_objects.htm