Question

我是熊猫的新手，并想知道为什么我的代码没有用。我有一个数据文件，其中有一些login_time时间戳（最后有一个例子）。我将数据从json加载到DataFrame，然后尝试每30分钟聚合一次。抱怨数据类型时出错。

import json
import pandas as pd
import numpy as np

input_file = 'data.json'
df = pd.read_json(input_file)
#df['count'] = 1
df.set_index('login_time');

print df.head()

agg_30m = pd.DataFrame()
agg_30m['login_time'] = df.login_time.resample(rule='30Min', how = 'last')
agg_30m['count'] = df.login_time.resample(rule='30Min', how = 'count')

print agg_30m.head()

data.json文件中的数据样本：

{"login_time":["2010-01-01 00:12:00","2010-01-01 00:21:00","2010-01-01 00:22:00","2010-01-01 00:23:00","2010-01-01 00:24:00"]}

错误：

   agg_15m['login_time'] = df.login_time.resample(rule='15Min', how = 'last')
  File "/usr/local/lib/python2.7/dist-packages/pandas/core/generic.py", line 4212, in resample
    base=base, key=on, level=level)
  File "/usr/local/lib/python2.7/dist-packages/pandas/tseries/resample.py", line 944, in resample
    return tg._get_resampler(obj, kind=kind)
  File "/usr/local/lib/python2.7/dist-packages/pandas/tseries/resample.py", line 1057, in _get_resampler
    "but got an instance of %r" % type(ax).__name__)
TypeError: Only valid with DatetimeIndex, TimedeltaIndex or PeriodIndex, but got an instance of 'Int64Index'

pandas如何获取正确的数据类型以使用resample（）

0 个答案: