不能替换范围

Question

下面的代码工作正常，但如果我想替换（30001-35000）显示错误，它会替换特定的范围：

df['Msrp'] = np.where(df['Msrp'].between (25001,30000), 'F', df['Msrp'])
print(df)
df['Msrp'] = np.where(df['Msrp'].between (30001,35000), 'G', df['Msrp'])
print(df)


                    Vin        MakeDescr            SeriesDescr   Msrp
0     2HNYD2H23BH516418            ACURA                    MDX  42580
1     JH4CU2F67AC034248            ACURA                    TSX      F
2     WAUBFAFL3AN022431             AUDI                     A4  32350
3     WBAVC93507K030197              BMW               3 Series  34300
4     1D3HV18P49S803785      DODGE TRUCK     Ram 1500 Pickup-V8  32695
5     2C4RC1BG0CR187071         CHRYSLER      Town & Country-V6      F

  

TypeError：'＆gt;''在'str'和'int'

的实例之间不受支持

Answer 1

我认为需要numpy.select来替换多个布尔掩码：

df['duration'] = (df['time'] - df['time'].iloc[0]).dt.seconds

print(df)

#                  time  duration
# 0 2014-05-01 18:47:05         0
# 1 2014-05-01 18:47:06         1
# 2 2014-05-02 18:47:08         3
# 3 2014-05-02 18:47:10         5
# 4 2014-05-02 18:47:11         6

您的代码问题是在m1 = df['Msrp'].between (25001,30000) m2 = df['Msrp'].between (30001,35000) df['Msrp'] = np.select([m1, m2], ['F', 'G'], default='not match') 列中np.where获取混合值后的问题 - 数字与Msrp，因此第二个F引发错误。