Pandas Python 脚本未在表中保存受访者分数

Question

有一个测验脚本，为最快的回答者提供奖金，然后在时间范围内答对任何答案即可获得 1 分。在最新的 pandas 库最近更新后，对所有受访者应用 1 分的部分不再起作用。这是它的部分代码。

        if len(repHolder) > 0:

            repHolder.columns = ['name', 'points', 'time']

            repHolder = repHolder.sort_values('time').reset_index(drop=True)
            repHolder.loc[:, 'time'] = repHolder.loc[:, 'time'].apply(
                lambda x: (datetime.utcfromtimestamp(x) + timedelta(hours=-4)).strftime("%I:%M:%S %p"))

            # Take the first response per participant
            minDate = repHolder.groupby('name').min()['time'].reset_index()
            repHolder = repHolder.merge(minDate)

            # For ties, score by time not by name
            timeHolder = repHolder.loc[repHolder['points'], ['time']].drop_duplicates().reset_index(drop=True)
            timeHolder['points'] = 0

            corHolder = 0
            for idx3, row in enumerate(timeHolder.iterrows()):
                if corHolder == 0:
                    timeHolder.loc[idx3, 'points'] = 1
                    corHolder = 1
                elif corHolder == 1:
                    timeHolder.loc[idx3, 'points'] = 1
                    corHolder = 2
                elif corHolder == 2:
                    timeHolder.loc[idx3, 'points'] = 1
                    corHolder = 3
                else:
                    timeHolder.loc[idx3, 'points'] = 1

            repHolder = repHolder.merge(timeHolder, on='time', how='left')
            repHolder['points'] = (repHolder['points_x'] * repHolder['points_y'])
            repHolder.loc[repHolder['points'].isnull(), 'points'] = 0

            print('scored winners')

            repHolder = repHolder.sort_values('points', ascending=False)

            repHolder['qTime'] = (datetime.utcfromtimestamp(qCom.created_utc) + timedelta(hours=-4)).strftime(
                "%I:%M:%S %p")
            repHolder['deltaTime'] = pd.to_datetime(repHolder['time']) - pd.to_datetime(repHolder['qTime'])

            repHolder['points'] = repHolder['points'] + repHolder[['deltaTime', 'points']]. \
                apply(lambda x: 1 if (x['deltaTime'].seconds <= 30) and (x['points'] == 1) else 0, axis=1)

            print(repHolder)

            winHolder = pd.concat([winHolder, repHolder])

从此更新了 pandas 代码：

            if not reply.author == None and not reply.banned_by:
                repTab = pd.DataFrame([[reply.author.name, gottem, reply.created_utc]])
                repHolder = repHolder.append(repTab)

对此：

            if not reply.author == None and not reply.banned_by:
                repTab = pd.DataFrame([[reply.author.name, gottem, reply.created_utc]])
                repHolder = pd.concat([repTab])

更新后，代码再次运行，但随后代码停止保存所有响应

Answer 1

pd.concat 需要一个数据帧列表来连接。

尝试：

if not reply.author == None and not reply.banned_by:
                repTab = pd.DataFrame([[reply.author.name, gottem, reply.created_utc]])
                repHolder = pd.concat([repHolder, repTab])