使用if语句或lambda函数,根据两个传递的日期将特定字符串返回到列

时间:2018-03-19 10:18:26

标签: pandas date dataframe lambda

  

我想从两个传递的日期列返回特定字符串。到目前为止我的代码:

def Risk_Bucket(x): 
    if x  <= 730:
        return '< 2YR'
    elif  (x > 730 and x  <= 1825):
        return '2YR_5YR'
    elif  (x > 1825 and x  <= 2555):
        return '5YR_7YR'
    elif  (x > 2555 and x <= 3650):
        return '7YR_10YR'
    elif  (x > 3650 and x  <= 7300):
        return '10YR_20YR'
    elif  (x > 7300):
        return '> 20YR'
    else:
        return "Check passed Date"
df_Date['Bucket'] = Risk_Bucket(df_Date['Days'])

print(df_Date.head(10))
  

我将天数转换为字符串的功能如下,并产生错误:TypeError:打印数据帧时无效的类型比较。

Spinner
  

我认为这是因为Days列有字符串&#39; days&#39;在里面?

     

如何将Days列设为数字?任何解决此问题的建议   并改进我的代码?

1 个答案:

答案 0 :(得分:2)

我相信您需要按days转换timedeltas天数:

df_Date['Bucket'] = df_Date['Days'].dt.days.apply(Risk_Bucket)

使用cut改进了代码:

bins = [-np.inf,730,1825,2555,3650,7300,np.inf]
labels = ['< 2YR', '2YR_5YR','5YR_7YR','7YR_10YR', '10YR_20YR', '> 20YR']
df_Date['Bucket'] = pd.cut(df_Date['Days'].dt.days, bins=bins, labels=labels)

验证

bins = [-np.inf,730,1825,2555,3650,7300,np.inf]
labels = ['< 2YR', '2YR_5YR','5YR_7YR','7YR_10YR', '10YR_20YR', '> 20YR']
df_Date['Bucket'] = df_Date['Days'].dt.days.apply(Risk_Bucket)
df_Date['Bucket1'] = pd.cut(df_Date['Days'].dt.days, bins=bins, labels=labels)
print (df_Date)
          state maturity_date       Today       Days    Bucket   Bucket1
0   Traded Away    2018-03-15  2018-03-19    -4 days     < 2YR     < 2YR
10  Traded Away    2025-06-15  2018-03-19    72 days     < 2YR     < 2YR
12  Traded Away    2047-03-21  2018-03-19 10594 days    > 20YR    > 20YR
15  Traded Away    2166-03-15  2018-03-19 54052 days    > 20YR    > 20YR
17  Traded Away    2166-12-18  2018-03-19 54330 days    > 20YR    > 20YR
20  Traded Away    2023-05-04  2018-03-19  1872 days   5YR_7YR   5YR_7YR
22  Traded Away    2027-11-15  2018-03-19  3528 days  7YR_10YR  7YR_10YR
23  Traded Away    2025-03-15  2018-03-19  2553 days   5YR_7YR   5YR_7YR
25  Traded Away    2023-01-15  2018-03-19  1763 days   2YR_5YR   2YR_5YR
26  Traded Away    2166-05-01  2018-03-19 54099 days    > 20YR    > 20YR