我有一个pandas dataframe,我想在其中创建一个新列,这些列的值基于其他三个列的值。在
首先,a创建了列,并给它一个随机值300:
data['stability'] = 300
然后我设置条件:
^{pr2}$如果您检查条件是否存在,它确实表明条件存在: 输入:
data['stability'][(data['wind_speed'] > 3) & (data['clouds'] >= 4 ) & (data['dagnacht'] == 'nacht')]
输出:
2011-08-04 21:00:00 300.0
2011-08-04 22:00:00 300.0
2011-08-04 23:00:00 300.0
2011-08-05 00:00:00 300.0
2011-08-05 01:00:00 300.0
2011-08-05 02:00:00 300.0
2011-08-05 03:00:00 300.0
2011-08-05 04:00:00 300.0
2011-08-05 05:00:00 300.0
2011-08-06 23:00:00 300.0
2011-08-07 00:00:00 300.0
2011-08-07 01:00:00 300.0
但正如你所看到的,它的值仍然是我在开始时给它的值300,而不是我现在想要的值4。值_计数给我300作为唯一的值 由于某些原因,它可以读取条件,但不将新值赋给稳定性。在
我正在使用python2.7和pandas 0.18.0
我的数据集如下所示:
wind_speed clouds stability dagnacht
date
2016-03-21 19:00:00 4.73 7 300.0 nacht
2016-03-21 19:10:00 4.58 NaN 300.0 nacht
2016-03-21 19:20:00 4.75 NaN 300.0 nacht
2016-03-21 19:30:00 3.67 NaN 300.0 nacht
2016-03-21 19:40:00 3.41 NaN 300.0 nacht
2016-03-21 19:50:00 3.61 NaN 300.0 nacht
2016-03-21 20:00:00 3.31 8 300.0 nacht
2016-03-21 20:10:00 3.30 NaN 300.0 nacht
2016-03-21 20:20:00 3.39 NaN 300.0 nacht
2016-03-21 20:30:00 3.59 NaN 300.0 nacht
2016-03-21 20:40:00 3.24 NaN 300.0 nacht
2016-03-21 20:50:00 2.99 NaN 300.0 nacht
2016-03-21 21:00:00 3.04 7 300.0 nacht
2016-03-21 21:10:00 3.01 NaN 300.0 nacht
2016-03-21 21:20:00 2.63 NaN 300.0 nacht
2016-03-21 21:30:00 2.41 NaN 300.0 nacht
2016-03-21 21:40:00 2.42 NaN 300.0 nacht
2016-03-21 21:50:00 2.49 NaN 300.0 nacht
2016-03-21 22:00:00 2.31 8 300.0 nacht
2016-03-21 22:10:00 2.24 NaN 300.0 nacht
2016-03-21 22:20:00 1.89 NaN 300.0 nacht
2016-03-21 22:30:00 1.88 NaN 300.0 nacht
2016-03-21 22:40:00 1.83 NaN 300.0 nacht
2016-03-21 22:50:00 1.83 NaN 300.0 nacht
2016-03-21 23:00:00 1.86 8 300.0 nacht
2016-03-21 23:10:00 2.29 NaN 300.0 nacht
2016-03-21 23:20:00 2.53 NaN 300.0 nacht
2016-03-21 23:30:00 2.36 NaN 300.0 nacht
2016-03-21 23:40:00 2.04 NaN 300.0 nacht
2016-03-21 23:50:00 1.83 NaN 300.0 nacht
提前谢谢你的帮助
您正在执行chained indexing,请将行改为以下形式:
因此,您操作的是数据的视图而不是副本
^{pr2}$如果您尝试代码,应该会发出警告:
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