我如何将这个DF:
id message_id author_id guild_id has_attachments channel_id created_at
37438 37439 702588325613011054 599221212010512394 322850917248663552 0 520132129103806483 2020-04-22 18:35:10.286
37439 37440 702588325969657876 470642155824873472 322850917248663552 0 373594756116119572 2020-04-22 18:35:10.371
37440 37441 702588327467024474 371187008971866114 322850917248663552 0 362236453771804683 2020-04-22 18:35:10.728
37441 37442 702588328029061150 284428586981523466 322850917248663552 0 338017726394138624 2020-04-22 18:35:10.862
37442 37443 702588328368930876 382261028051877889 322850917248663552 0 338017726394138624 2020-04-22 18:35:10.943
变成这样的东西。
author_id channel_id
guild_id [sum/count] [sum/count]
我假设列是author_id raw和channel_id raw, 但是我怎么做呢?
我想把这个数据框每行（公会）插入到influxdb中。
解决方案：
也许是这样的。
df.groupby('guild_id')['author_id']['channel_id'].sum()
df.groupby('guild_id')['author_id']['channel_id'].count()
