我一直试图在python 3.x中创建一个时间矢量，以绘制风速与时间的关系。
从00:00开始到23:55结束，每5分钟采样一次风速（即每天288个样本）。
我使用pandas读取数据。我将速度变量存储在numpy向量中。我使用numpy.array(met1.loc[ini:fin, 'm/s Wind'])保存了变量，并且非常适合风速。当我尝试对datetime变量执行此操作时，如numpy.array(met1.loc[ini:fin, 'Measurement Time'])向我展示了下一个错误：
'the label [Measurement Time] is not in the [columns]'（请参阅后面的代码以获取更多详细信息）
met1.head()看起来像这样：
. m/s Wind m/s Gusts ° Direction RH °C Temp \
Measurement Time
2018-11-13 11:20:00 6.77 9.5 268 0.068590 12.6
2018-11-13 11:25:00 6.90 10.4 284 0.067255 12.9
2018-11-13 11:30:00 6.59 11.3 279 0.066381 13.1
2018-11-13 11:35:00 7.10 10.1 279 0.073019 13.1
2018-11-13 11:40:00 6.01 9.8 273 0.073498 13.0
代码如下：
import numpy as np
import pandas as pd
met1 = pd.read_excel('database.xls', sheet_name=0, skiprows=2, index_col = 'Measurement Time', parse_dates=[0]) #reading data base
def variables (ini, fin):
# Variables for MET-1
wind1 = np.array(met1.loc[ini:fin, 'm/s Wind'])
dir1 = np.array(met1.loc[ini:fin, '° Direction'])
rh1 = np.array(met1.loc[ini:fin, 'RH']) # 0.123
temp1 = np.array(met1.loc[ini:fin, '°C Temp'])
p1 = np.array(met1.loc[ini:fin, 'kPa Pressure'])
tiempo = np.array(met1.loc[ini:fin, 'Measurement Time'])
print(wind1)
print(tiempo)
variables('2018-11-15','2018-11-15')
---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
~/anaconda3/lib/python3.6/site-packages/pandas/core/indexing.py in _validate_key(self, key, axis)
1789 if not ax.contains(key):
-> 1790 error()
1791 except TypeError as e:
~/anaconda3/lib/python3.6/site-packages/pandas/core/indexing.py in error()
1784 .format(key=key,
-> 1785 axis=self.obj._get_axis_name(axis)))
1786
KeyError: 'the label [Measurement Time] is not in the [columns]'
During handling of the above exception, another exception occurred:
KeyError Traceback (most recent call last)
<ipython-input-182-130dc8c7095b> in <module>
1 # variables('2018-11-13','2018-11-13') # Mount day
2 # variables('2018-11-14','2018-11-14') # Mount day
----> 3 variables('2018-11-15','2018-11-15')
4 variables('2018-11-16','2018-11-16')
5 variables('2018-11-17','2018-11-17')
<ipython-input-181-2a7e1e919435> in variables(ini, fin)
17 temp1 = np.array(met1.loc[ini:fin, '°C Temp'])
18 p1 = np.array(met1.loc[ini:fin, 'kPa Pressure'])
---> 19 tiempo = np.array(met1.loc[ini:fin, 'Measurement Time'])
20 print(tiempo)
21
~/anaconda3/lib/python3.6/site-packages/pandas/core/indexing.py in __getitem__(self, key)
1470 except (KeyError, IndexError):
1471 pass
-> 1472 return self._getitem_tuple(key)
1473 else:
1474 # we by definition only have the 0th axis
~/anaconda3/lib/python3.6/site-packages/pandas/core/indexing.py in _getitem_tuple(self, tup)
868 def _getitem_tuple(self, tup):
869 try:
--> 870 return self._getitem_lowerdim(tup)
871 except IndexingError:
872 pass
~/anaconda3/lib/python3.6/site-packages/pandas/core/indexing.py in _getitem_lowerdim(self, tup)
996 for i, key in enumerate(tup):
997 if is_label_like(key) or isinstance(key, tuple):
--> 998 section = self._getitem_axis(key, axis=i)
999
1000 # we have yielded a scalar ?
~/anaconda3/lib/python3.6/site-packages/pandas/core/indexing.py in _getitem_axis(self, key, axis)
1909
1910 # fall thru to straight lookup
-> 1911 self._validate_key(key, axis)
1912 return self._get_label(key, axis=axis)
1913
~/anaconda3/lib/python3.6/site-packages/pandas/core/indexing.py in _validate_key(self, key, axis)
1796 raise
1797 except:
-> 1798 error()
1799
1800 def _is_scalar_access(self, key):
~/anaconda3/lib/python3.6/site-packages/pandas/core/indexing.py in error()
1783 raise KeyError(u"the label [{key}] is not in the [{axis}]"
1784 .format(key=key,
-> 1785 axis=self.obj._get_axis_name(axis)))
1786
1787 try:
KeyError: 'the label [Measurement Time] is not in the [columns]'
我需要的时间向量应如下所示！： ['00:00' '00:05' ..... '23:50' '23:55']用于日期'2018-11-15'