下面是从类别列表和数据集中提取匹配值的代码。在
matches= token.apply(lambda x: pd.Series(x).str.extractall("|".join(["({})".format(cat) for cat in Categories.HealthCare])))
match_list= [[m for m in match.values.ravel() if isinstance(m, str)] for match in matches]
match_df = pd.DataFrame({"Hc1":match_list})
def match_health(row):
categories = []
for bigram in row.bigram:
joined = ' '.join(bigram)
if joined in HealthCare:
categories.append(joined)
for trigram in row.trigram:
joined = ' '.join(trigram)
if joined in HealthCare:
categories.append(joined)
return categories
match_df['Hc2'] = df.apply(match_health, axis=1)
match_df['HealthCare'] = match_df[match_df.columns[[0,1]]].apply(lambda x: ','.join(x.dropna().astype(str)),axis=1)
结果如下:
^{pr2}$类型(匹配_df)
pandas.core.frame.DataFrame
但是我的输出应该没有“[]”-方括号和字符串周围的单引号,例如:
Hc1 Hc2 HealthCare
0
1 Sauna, Jacuzzi Health Club, Steam Room Sauna,Jacuzzi,Health Club,Steam Ro...
2 Sauna, Jacuzzi Health Club, Steam Room Sauna,Jacuzzi,Health Club,Steam Ro...
3 Sauna, Jacuzzi Health Club, Steam Room Sauna,Jacuzzi,Health Club,Steam Ro...
需要帮助。在
这适用于替换所有方括号和单引号。在
开/关:
^{pr2}$您可以调用
.str.replace
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