![](/img/trans.png)
[英]Python Replace Whole Values in Dataframe String and Not Substrings
[英]How to replace substrings in a dataframe in Python
我有一個數據框,我想根據另一個數據框在其中替換一些單詞:
import pandas as pd
dist = pd.DataFrame([["21","apple"],["25","balana"],["30","lemon"]],columns=["idx","item"])
a = pd.DataFrame(["apple - banana"],columns=["pf"])
a['pf'] = a['pf'].replace(dist["item"], dist["idx"], regex=True)
print(a)
我怎樣才能做到這一點? (這不適用於當前形式)
您可以嘗試以下方法:
dist = pd.DataFrame([["21","apple"],["25","balana"],["30","lemon"]],columns= ["idx","item"])
a = pd.DataFrame(["apple - banana"],columns=["pf"])
b = dict(zip(dist["idx"], dist["item"]))
def replace_items(token):
for key, value in b.items():
token = token.replace(value, key)
return token
a["pf"] = a["pf"].apply(replace_items)
請注意, dist
數據balana
的banana
是balana
。 不知道這是否有意...
將翻譯表轉換為字典似乎可以解決問題:
import pandas as pd
dist = pd.DataFrame([["apple","21"],["banana","25"],["lemon","30"]],columns=["item","idx"])
dist = dist.set_index('item')['idx'].to_dict()
a = pd.DataFrame(["apple - banana"],columns=["pf"])
a['pf'] = a['pf'].replace(dist, regex=True)
print(a)
聲明:本站的技術帖子網頁,遵循CC BY-SA 4.0協議,如果您需要轉載,請注明本站網址或者原文地址。任何問題請咨詢:yoyou2525@163.com.