Pandas 使用字典替换dataframe列中的值

我有一个由字符串组成的dataframe列。现在我想用另一个数据帧中的值替换这些字符串中的特定单词，该值具有要替换单词的含义。我目前正在使用iterrrows（），25000行大约需要2分钟。我想知道是否有更有效的方法来做到这一点

syn = pd.ExcelFile("C:/Key-Value.xlsx")
df_syn = syn.parse("Keys")

for idx, row in df_syn.iterrows():  
    df['col'] = df['col'].str.replace(r"\b"+row['synonym']+r"\b", row['word']) 

IIUC：

设置

df_syn = pd.DataFrame(dict(synonym=['hug', 'kiss'], word=['warm', 'tender']))
df = pd.DataFrame(dict(col=['I want a hug', 'a kiss would be great']))

print(df_syn, df, sep='\n\n')

  synonym    word
0     hug    warm
1    kiss  tender

                     col
0           I want a hug
1  a kiss would be great

mapping = df_syn.assign(
    synonym=df_syn.synonym.radd(r'\b').add(r'\b')
).set_index('synonym').word.to_dict()

df.replace({'col': mapping}, regex=True)

                       col
0            I want a warm
1  a tender would be great

---

解决方案

df_syn = pd.DataFrame(dict(synonym=['hug', 'kiss'], word=['warm', 'tender']))
df = pd.DataFrame(dict(col=['I want a hug', 'a kiss would be great']))

print(df_syn, df, sep='\n\n')

  synonym    word
0     hug    warm
1    kiss  tender

                     col
0           I want a hug
1  a kiss would be great

mapping = df_syn.assign(
    synonym=df_syn.synonym.radd(r'\b').add(r'\b')
).set_index('synonym').word.to_dict()

df.replace({'col': mapping}, regex=True)

                       col
0            I want a warm
1  a tender would be great