There is a ssqdatav2data, to find Shenzhen, and replace it with Shenzhen.

Because of errors in the collected data, Shenzhen appears where only the province is abbreviated.
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How to find data that contains Shenzhen in DF?

cond=ssqdatav2['first'].str.contains('深圳')
ssqdatav2.loc[cond]

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At this point, the data containing Shenzhen in the first is found.

1. Find Chinese characters in first

# 为分解firstprize定义函数
def fpp(x):
    if len(x)<=2:  # 判断是否只有汉字，还是也有数字
        return "待定" # 没有汉字的用待定表示
    else: # 使用正则表达式获取中文
        pattern="[\u4e00-\u9fa5]"  # 汉字专用字符ASCII区间
        pat=re.compile(pattern)
        return ','.join(pat.findall(x)) # 使用逗号作为每个省份的分隔符
#使用fp() 
ssqdatav2['fpprovince']=ssqdatav2['first'].apply(lambda x:fpp(x))
ssqdatav2.head()

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Form each province into a separate column:

fpnames=['p01','p02','p03','p04','p05'] 
ssqdatav3[fpnames]=ssqdatav3['fpprovince'].str.split(',',expand=True)
ssqdatav3

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Remove the None value, and the place of None becomes a null value:

# 逐个分割
ssqdatav3['p001']=ssqdatav3['fpprovince'].apply(lambda x:x if x.count(',')==0 else x.split(',')[0])
ssqdatav3['p002']=ssqdatav3['fpprovince'].apply(lambda x:x.split(',')[1] if x.count(',')>=1 else '')
ssqdatav3['p003']=ssqdatav3['fpprovince'].apply(lambda x:x.split(',')[2] if x.count(',')>=2 else '')
ssqdatav3['p004']=ssqdatav3['fpprovince'].apply(lambda x:x.split(',')[3] if x.count(',')>=3 else '')
ssqdatav3['p005']=ssqdatav3['fpprovince'].apply(lambda x:x.split(',')[4] if x.count(',')>=4 else '')

ssqdatav3.to_excel('ssqdatav3p05.xlsx',index=False)
ssqdatav3.head()

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# 让双色球的期号ID成为订单号，7个号码都有对应的订单号，即每个期号都有7个订单号且分成不同的行
import numpy as np 
ssqdatav3['province2']=ssqdatav3['fpprovince'].apply(lambda x:x.split(','))
ssqdatav3

province2=ssqdatav3['province2'].to_list()
province2
rs=[len(r) for r in province2]
rs 
a=np.repeat(ssqdatav3['id'],rs)
a 
ssqdataprov=pd.DataFrame(np.column_stack((a,np.concatenate(province2))),columns=['ID','PROVINCE'])


# ssqdataprov=ssqdataprov[(ssqdataprov['PROVINCE']!='深')] # 等价
# ssqdataprov=ssqdataprov[~(ssqdataprov['PROVINCE']=='深')] # 等价
ssqdataprov=ssqdataprov[~(ssqdataprov['PROVINCE'].str.contains('深'))]

ssqdataprov

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Divide according to each field, and delete the fields containing deep, so that only the word "Zhen" is retained.

Python determines whether a string contains characters (str.contain)

1. Find Chinese characters in first

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