Python 3.x 要在两列之间分解的数据

我当前的数据帧如下所示：

existing_data = {'STORE_ID': ['1234','5678','9876','3456','6789'],
        'FULFILLMENT_TYPE': ['DELIVERY','DRIVE','DELIVERY','DRIVE','DELIVERY'], 
        'FORECAST_DATE':['2020-08-01','2020-08-02','2020-08-03','2020-08-04','2020-08-05'],
        'DAY_OF_WEEK':['SATURDAY','SUNDAY','MONDAY','TUESDAY','WEDNESDAY'],
        'START_HOUR':[8,8,6,7,9],
        'END_HOUR':[19,19,18,19,17]}

existing = pd.DataFrame(data=existing_data)

我需要在开始和结束时间之间分解数据，以便每个小时都是不同的一行，如下所示：

needed_data = {'STORE_ID': ['1234','1234','1234','1234','1234'],
        'FULFILLMENT_TYPE': ['DELIVERY','DELIVERY','DELIVERY','DELIVERY','DELIVERY'], 
        'FORECAST_DATE':['2020-08-01','2020-08-01','2020-08-01','2020-08-01','2020-08-01'],
        'DAY_OF_WEEK': ['SATURDAY','SATURDAY','SATURDAY','SATURDAY','SATURDAY'],
        'HOUR':[8,9,10,11,12]}

required = pd.DataFrame(data=needed_data)

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不确定如何实现这一点。我知道应该使用explode（）实现，但无法实现。

如果小数据帧或性能不重要，请在两列中使用

范围
：

如果性能很重要，则将两列相减，然后将计数器添加到开始时间：

s = existing["END_HOUR"].sub(existing["START_HOUR"]) + 1
df = existing.loc[existing.index.repeat(s)].copy()

add = df.groupby(level=0).cumcount()
df['HOUR'] = df["START_HOUR"].add(add)
df = df.reset_index(drop=True).drop(['START_HOUR','END_HOUR'], axis=1)

s = existing["END_HOUR"].sub(existing["START_HOUR"]) + 1
df = existing.loc[existing.index.repeat(s)].copy()

add = df.groupby(level=0).cumcount()
df['HOUR'] = df["START_HOUR"].add(add)
df = df.reset_index(drop=True).drop(['START_HOUR','END_HOUR'], axis=1)