data2 = pd.DataFrame(data1['kwh'])
data2
kwh
date
2012-04-12 14:56:50 1.256400
2012-04-12 15:11:55 1.430750
2012-04-12 15:27:01 1.369910
2012-04-12 15:42:06 1.359350
2012-04-12 15:57:10 1.305680
2012-04-12 16:12:10 1.287750
2012-04-12 16:27:14 1.245970
2012-04-12 16:42:19 1.282280
2012-04-12 16:57:24 1.365710
2012-04-12 17:12:28 1.320130
2012-04-12 17:27:33 1.354890
2012-04-12 17:42:37 1.343680
2012-04-12 17:57:41 1.314220
2012-04-12 18:12:44 1.311970
2012-04-12 18:27:46 1.338980
2012-04-12 18:42:51 1.357370
2012-04-12 18:57:54 1.328700
2012-04-12 19:12:58 1.308200
2012-04-12 19:28:01 1.341770
2012-04-12 19:43:04 1.278350
2012-04-12 19:58:07 1.253170
2012-04-12 20:13:10 1.420670
2012-04-12 20:28:15 1.292740
2012-04-12 20:43:15 1.322840
2012-04-12 20:58:18 …我正在尝试学习如何分析网络上可用的社交媒体数据，我从 Youtube 开始。
from apiclient.errors import HttpError
from outh2client.tools import argparser
from apiclient.discovery import build
import pandas as pd
DEVELOPER_KEY = "AIzaSyB_F1mCrDydEbGUosnZES-NW-mg1CaOyjI"
YOUTUBE_API_SERVICE_NAME = "youtube"
YOUTUBE_API_VERSION = "v3"
argparser.add_argument("--q", help="Search term", default="apple product")
argparser.add_argument("--max-results", help="Max results", default=50)
args = argparser.parse_args()
options = args
我收到这个错误。
ArgumentError Traceback (most recent call last)
<ipython-input-37-ebbf58549b73> in <module>()
----> 1 argparser.add_argument("--q", help="Search term", default="apple product")
2 argparser.add_argument("--max-results", help="Max results", default=50)
3 args = argparser.parse_args()
4 options = args
/usr/lib/python2.7/argparse.py in add_argument(self, *args, **kwargs)
1306 raise …我有一个数据框,我想要一个函数来转换一年中的天数(365).提前致谢.!!
d_w_data.drop(['kwh', 'time', 'month', 'dewptm', 'hum', 'wspdm', 'cos(hour)', 'sin(hour)'], inplace=True, axis=1)
d_w_data
Out[55]:
year day index1 aptemp maptemp mtempm tempm hour_to_rad
2012-04-12 14:00:00 2012 12 2012-04-12 14:00:00 17.574044 14.483582 15.508494 19.510000 3.665191
2012-04-12 15:00:00 2012 12 2012-04-12 15:00:00 17.769016 14.483582 15.508494 19.600000 3.926991
2012-04-12 16:00:00 2012 12 2012-04-12 16:00:00 17.532051 14.483582 15.508494 19.488235 4.188790
2012-04-12 17:00:00 2012 12 2012-04-12 17:00:00 16.975478 14.483582 15.508494 18.690000 4.450590
2012-04-12 18:00:00 2012 12 2012-04-12 18:00:00 16.520319 14.483582 15.508494 17.566667 4.712389
2012-04-12 19:00:00 2012 12 …