Question

我要串联三列的值，这些值都被格式化为str以便能够获取完整的地址。第一个是单位编号，某些属性没有单位编号，因此我不想将那些缺少的单位编号值串联起来。如何添加if语句？

df['address_original'] = df['unit_number'].str.cat(df[['street_number', 'street_name']], 
                                                   sep=', ')
print df['address_original'][:5]


0                 , 184, VEALE ROAD
1                 , 124, VEALE ROAD
2    , 1068, CLEARWATER VALLEY ROAD
3               , 1605, PINE STREET
4         , 1425, LOPEZ CREEK DRIVE
Name: address_original, dtype: object

这是原始数据框：

import pandas as pd
df = pd.DataFrame(data=search_results1)
print df.info()
print type(df)

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 2619 entries, 0 to 2618
Columns: 111 entries, access to zoning
dtypes: object(111)
memory usage: 2.2+ MB
None

这是address_original列中的当前内容

print df['address_original'][:3]
0                 , 184, VEALE ROAD
1                 , 124, VEALE ROAD
2    , 1068, CLEARWATER VALLEY ROAD
Name: address_original, dtype: object

Answer 1

是吗？

df['address_original'] = np.where(df['unit_number'].isnull(), df['street_number'].astype(str)+','+df['street_name'].astype(str), df['unit_Number'].astype(str)+','+df['street_number'].astype(str)+','+df['street_name'].astype(str))

我仍然不确定目标列的外观

Answer 2

尝试一下，可能对您有帮助

import numpy as np
import pandas as pd


data = pd.read_csv('c.csv')
print(data)

def GetFullAddress(unitno, add1, add2):
    print(unitno, add1, add2)
    sunitno = ''
    if(unitno>0):
        sunitno = str(unitno)+', '

    return sunitno + add1 + ', '+add2

data['address'] = data.apply(lambda row: GetFullAddress(row['unitno'],row['add1'],row['add2']))
print(data)

使用的数据是：

   unitno         add1         add2
0       0  'address11'  'address21'
1      12  'address12'  'address22'
2       0  'address13'  'address23'
3      14  'address14'  'address24'
4       0  'address15'  'address25'

根据Pandas中的条件连接列的字符串值

2 个答案: