如何在Python3中将多个值替换为一个值

Question

我目前正在尝试从数据框的行中获取国家。以下是我目前拥有的代码：

l = [
 ['[Aydemir, Deniz\', \' Gunduz, Gokhan\', \' Asik, Nejla] Bartin 
   Univ, Fac Forestry, Dept Forest Ind Engn, TR-74100 Bartin, 
   Turkey\', \' [Wang, Alice] Lulea Univ Technol, Wood Technol, 
   Skelleftea, Sweden',1990],
 ['[Fang, Qun\', \' Cui, Hui-Wang] Zhejiang A&F Univ, Sch Engn, Linan 
   311300, Peoples R China\', \' [Du, Guan-Ben] Southwest Forestry 
   Univ, Kunming 650224, Yunnan, Peoples R China',2005],
 ['[Blumentritt, Melanie\', \' Gardner, Douglas J.\', \' Shaler 
   Stephen M.] Univ Maine, Sch Resources, Orono, ME USA\', \' [Cole, 
   Barbara J. W.] Univ Maine, Dept Chem, Orono, ME 04469 USA',2012],
 ['[Kyvelou, Pinelopi; Gardner, Leroy; Nethercot, David A.] Univ 
   London Imperial Coll Sci Technol & Med, London SW7 2AZ, 
   England',1998]]
dataf = pd.DataFrame(l, columns = ['Authors', 'Year'])

这是数据帧。代码如下：

df = (dataf['Authors']
  .replace(r"\bUSA\b", "United States", regex=True)
  .apply(lambda x: geotext.GeoText(x).countries))

问题是GeoText不承认“美国”，但现在我也看到我需要把“英格兰”、“苏格兰”、“威尔士”和“北爱尔兰”改成“英国”。 如何扩展.replace来实现这一点？你知道吗

Answer 1

您可以使用Series.str模块的translate方法并传递替换字典。你知道吗

dataf.Authors.str.translate({
    'USA': 'United States', 
    "England": "United Kingdom", 
    "Scotland": "United Kingdom", 
    "Wales": "United Kingdom",
    "Northern Ireland": "United Kingdom"
})

Answer 2

这对我有用。代码如下：

replace_list = ['England', 'Scotland', 'Wales', 'Northern Ireland']
for check in replace_list:
    dataf['Authors'] = dataf['Authors'].str.replace(check, 'United Kingdom', regex=True)