python - 如何跨多列循环类似的python pandas代码

Question

我编写了一段代码，用于从其中一个时间戳列中提取月、小时、工作日。我想在我的数据的其他时间戳列中应用相同的代码，而无需重写代码。

df['closed_at'] = pd.to_datetime(df['closed_at'], errors='coerce')
df['closed_at - Month-Year'] = df['closed_at'].dt.to_period('M')
df['closed_at - Weekday Num'] = df['closed_at'].dt.dayofweek + 1
df['closed_at - Weekday'] = df['closed_at'].dt.weekday_name
df['closed_at - Weekday Combo'] = df['closed_at - Weekday Num'].astype(str)+'-'+df['closed_at - Weekday']
df['closed_at - Hour Num'] = df['closed_at'].dt.hour

Answer 1

首先指定由日期时间填充的列，然后使用 f-strings 在循环中创建新列:

cols = ['closed_at', 'another date col']

for x in cols:
    incident_data[x] = pd.to_datetime(incident_data[x], errors='coerce')
    incident_data[f'{x} - Month-Year'] = incident_data[x].dt.to_period('M')
    incident_data[f'{x} - Weekday Num'] = incident_data[x].dt.dayofweek + 1
    incident_data[f'{x} - Weekday'] = incident_data[x].dt.weekday_name
    incident_data[f'{x} - Weekday Combo'] = (incident_data[f'{x} - Weekday Num'].astype(str)+
                                             '-'+incident_data[f'{x} - Weekday'])
    incident_data[f'{x} - Hour Num'] = incident_data[x].dt.hour