pandas: powerful Python data analysis toolkit - 0.12is observed. In [42]: weekmask_egypt = ’Sun Mon Tue Wed Thu’ # They also observe International Workers’ Day so let’s # add that for a couple of years In [43]: holidays = [’2012-05-01’, datetime(2013, is observed. In [82]: weekmask_egypt = ’Sun Mon Tue Wed Thu’ # They also observe International Workers’ Day so let’s # add that for a couple of years In [83]: holidays = [’2012-05-01’, datetime(2013,0 码力 | 657 页 | 3.58 MB | 1 年前3- pandas: powerful Python data analysis toolkit - 0.13.1is observed. In [42]: weekmask_egypt = ’Sun Mon Tue Wed Thu’ # They also observe International Workers’ Day so let’s # add that for a couple of years In [43]: holidays = [’2012-05-01’, datetime(2013, is observed. In [84]: weekmask_egypt = ’Sun Mon Tue Wed Thu’ # They also observe International Workers’ Day so let’s # add that for a couple of years In [85]: holidays = [’2012-05-01’, datetime(2013,0 码力 | 1219 页 | 4.81 MB | 1 年前3
- pandas: powerful Python data analysis toolkit - 0.14.0is observed. In [43]: weekmask_egypt = ’Sun Mon Tue Wed Thu’ # They also observe International Workers’ Day so let’s # add that for a couple of years In [44]: holidays = [’2012-05-01’, datetime(2013, Release 0.14.0 In [84]: weekmask_egypt = ’Sun Mon Tue Wed Thu’ # They also observe International Workers’ Day so let’s # add that for a couple of years In [85]: holidays = [’2012-05-01’, datetime(2013,0 码力 | 1349 页 | 7.67 MB | 1 年前3
- pandas: powerful Python data analysis toolkit - 0.15is observed. In [43]: weekmask_egypt = ’Sun Mon Tue Wed Thu’ # They also observe International Workers’ Day so let’s # add that for a couple of years In [44]: holidays = [’2012-05-01’, datetime(2013, is observed. In [97]: weekmask_egypt = ’Sun Mon Tue Wed Thu’ # They also observe International Workers’ Day so let’s # add that for a couple of years In [98]: holidays = [’2012-05-01’, datetime(2013,0 码力 | 1579 页 | 9.15 MB | 1 年前3
- pandas: powerful Python data analysis toolkit - 0.15.1is observed. In [43]: weekmask_egypt = ’Sun Mon Tue Wed Thu’ # They also observe International Workers’ Day so let’s # add that for a couple of years In [44]: holidays = [’2012-05-01’, datetime(2013, is observed. In [97]: weekmask_egypt = ’Sun Mon Tue Wed Thu’ # They also observe International Workers’ Day so let’s # add that for a couple of years In [98]: holidays = [’2012-05-01’, datetime(2013,0 码力 | 1557 页 | 9.10 MB | 1 年前3
- pandas: powerful Python data analysis toolkit - 0.17.0is observed. In [40]: weekmask_egypt = 'Sun Mon Tue Wed Thu' # They also observe International Workers' Day so let's # add that for a couple of years In [41]: holidays = ['2012-05-01', datetime(2013, is observed. In [116]: weekmask_egypt = 'Sun Mon Tue Wed Thu' # They also observe International Workers' Day so let's # add that for a couple of years In [117]: holidays = ['2012-05-01', datetime(20130 码力 | 1787 页 | 10.76 MB | 1 年前3
- pandas: powerful Python data analysis toolkit - 1.0.0is observed. In [185]: weekmask_egypt = 'Sun Mon Tue Wed Thu' # They also observe International Workers' Day so let's # add that for a couple of years In [186]: holidays = ['2012-05-01', .....: datetime interactions to test (or think of!) all of them. Testing warnings By default, one of pandas CI workers will fail if any unhandled warnings are emitted. If your change involves checking that a warning is observed. In [35]: weekmask_egypt = 'Sun Mon Tue Wed Thu' # They also observe International Workers' Day so let's # add that for a couple of years In [36]: holidays = ['2012-05-01', datetime(2013,0 码力 | 3015 页 | 10.78 MB | 1 年前3
- pandas: powerful Python data analysis toolkit - 0.25.0is observed. In [185]: weekmask_egypt = 'Sun Mon Tue Wed Thu' # They also observe International Workers' Day so let's # add that for a couple of years In [186]: holidays = ['2012-05-01', .....: datetime interactions to test (or think of!) all of them. Testing warnings By default, one of pandas CI workers will fail if any unhandled warnings are emitted. If your change involves checking that a warning is observed. In [35]: weekmask_egypt = 'Sun Mon Tue Wed Thu' # They also observe International Workers' Day so let's # add that for a couple of years In [36]: holidays = ['2012-05-01', datetime(2013,0 码力 | 2827 页 | 9.62 MB | 1 年前3
- pandas: powerful Python data analysis toolkit - 0.25.1is observed. In [185]: weekmask_egypt = 'Sun Mon Tue Wed Thu' # They also observe International Workers' Day so let's # add that for a couple of years In [186]: holidays = ['2012-05-01', .....: datetime interactions to test (or think of!) all of them. Testing warnings By default, one of pandas CI workers will fail if any unhandled warnings are emitted. If your change involves checking that a warning is observed. In [35]: weekmask_egypt = 'Sun Mon Tue Wed Thu' # They also observe International Workers' Day so let's # add that for a couple of years In [36]: holidays = ['2012-05-01', datetime(2013,0 码力 | 2833 页 | 9.65 MB | 1 年前3
- pandas: powerful Python data analysis toolkit - 1.0is observed. In [185]: weekmask_egypt = 'Sun Mon Tue Wed Thu' # They also observe International Workers' Day so let's # add that for a couple of years In [186]: holidays = ['2012-05-01', .....: datetime interactions to test (or think of!) all of them. Testing warnings By default, one of pandas CI workers will fail if any unhandled warnings are emitted. If your change involves checking that a warning is observed. In [35]: weekmask_egypt = 'Sun Mon Tue Wed Thu' # They also observe International Workers' Day so let's # add that for a couple of years In [36]: holidays = ['2012-05-01', datetime(2013,0 码力 | 3091 页 | 10.16 MB | 1 年前3
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