按日期时间间隔计算记录数

Question

我将一些数据加载到Pandas DataFrame我想要聚合到日期时间间隔的数据中,并计算每个间隔内的记录数.问题是我发现聚合到日期时间间隔并计算每个间隔内的记录数的方法看起来相当笨重,可能不是最有效的.更改我想要分组的间隔以计算推文的数量也是一种痛苦.

data = [[Timestamp('2016-10-26 18:47:53'), 'mention'],
        [Timestamp('2016-10-26 20:28:35'), 'retweet'],
        [Timestamp('2016-10-26 20:57:38'), 'tweet'],
        [Timestamp('2016-10-26 21:36:37'), 'mention'],
        [Timestamp('2016-10-26 22:49:08'), 'tweet'],
        [Timestamp('2016-10-27 00:10:19'), 'tweet'],
        [Timestamp('2016-10-27 01:14:46'), 'tweet'],
        [Timestamp('2016-10-27 01:45:03'), 'retweet'],
        [Timestamp('2016-10-27 02:33:03'), 'tweet'],
        [Timestamp('2016-10-27 05:55:52'), 'retweet'],
        [Timestamp('2016-10-27 14:26:57'), 'mention'],
        [Timestamp('2016-10-27 17:46:42'), 'tweet'],
        [Timestamp('2016-10-27 17:53:33'), 'retweet'],
        [Timestamp('2016-10-27 18:53:38'), 'tweet'],
        [Timestamp('2016-10-27 21:02:00'), 'retweet'],
        [Timestamp('2016-10-27 21:23:50'), 'retweet'],
        [Timestamp('2016-10-27 22:21:01'), 'retweet'],
        [Timestamp('2016-10-28 05:30:02'), 'retweet'],
        [Timestamp('2016-10-28 13:11:01'), 'retweet'],
        [Timestamp('2016-10-28 16:55:13'), 'retweet'],
        [Timestamp('2016-10-28 18:25:02'), 'retweet'],
        [Timestamp('2016-10-28 18:54:44'), 'retweet'],
        [Timestamp('2016-10-28 19:22:14'), 'tweet'],
        [Timestamp('2016-10-28 19:23:20'), 'tweet'],
        [Timestamp('2016-10-28 22:33:03'), 'tweet']]

df = pd.DataFrame(data, columns=['datetime', 'type'])

df['type'].groupby([df.datetime.dt.month, df.datetime.dt.day,df.datetime.dt.hour]).count().plot(kind="line")

如果您还可以帮助我弄清楚如何将"类型"划分为3个单独的行,那么奖励积分!:)

Answer 1

大熊猫0.19

df.set_index('datetime').resample('H').type.count().plot()

大熊猫0.19

df.resample('H', on='datetime').type.count().plot()

奖励积分

df.set_index('datetime').groupby('type') \
    .resample('H').size().unstack(0, fill_value=0) \
    .plot()