我创建了一个例程，该例程读取新数据，然后将其重写到另一个文件中。最后，所有数据最终都在一个数据帧中。
编辑：数据框实际上具有模型中显示的GMD和CMD列。
Current SS Temps Stabilized Delta T T1 Set T1 Read T2 Set T2 Read T3 Set T3 Read Nafion Set T Nafion Inlet Set T Inlet OPC Set T OPC T Sample Sample Flow Sheath Flow Sample Pressure Laser Current overflow Baseline Mon 1st Stage Mon Bin # Bin 1 Bin 2 Bin 3 Bin 4 Bin 5 Bin 6 Bin 7 Bin 8 Bin 9 Bin 10 Bin 11 Bin 12 Bin 13 Bin 14 Bin 15 Bin 16 Bin 17 Bin 18 Bin 19 Bin 20 CCN Number Conc Valve Set Alarm Code Alarm Sum
Datetime
2019-05-02 00:00:00 0.1 1.0 3.264 27.709753 27.683804 29.341753 29.099846 30.745274 30.540390 26.709753 26.765661 28.709753 28.766088 32.745274 32.870701 25.833349 45.147003 455.568115 1016.933960 78.315002 0.0 2.787700 0.56730 0.0 4.0 5.0 13.0 74.00 0.0 2.00 0.00 0.00 1.0 1.00 0.0 0.00 0.0 1.00 0.0 0.0 0.0 0.0 0.0 0.0 134.035156 2.840745 0.0 NaN
2019-05-02 00:00:01 0.1 1.0 3.264 27.709753 27.712530 29.341753 29.124981 30.745274 30.583268 26.709753 26.769858 28.709753 28.840857 32.745274 32.824543 25.821905 45.437126 458.366699 1016.158752 77.395000 0.0 2.789225 0.56730 0.0 1.0 8.0 28.0 92.25 3.5 1.75 1.25 0.75 1.0 0.25 2.0 0.25 0.0 0.25 0.0 0.0 0.0 0.0 0.0 0.0 111.956049 2.741862 0.0 NaN
2019-05-02 00:00:02 0.1 1.0 3.264 27.709753 27.726048 29.341753 29.148849 30.745274 30.581791 26.709753 26.774817 28.709753 28.824072 32.745274 32.797459 25.853186 45.054581 458.191650 1016.778931 78.257500 0.0 2.790140 0.56974 0.0 0.0 8.0 35.0 79.00 2.0 1.00 0.00 1.00 0.0 0.00 0.0 0.00 0.0 0.00 0.0 0.0 0.0 0.0 0.0 0.0 184.126541 2.800261 0.0 NaN
2019-05-02 00:00:03 0.1 1.0 3.264 27.709753 27.717598 29.341753 29.122658 30.745274 30.542925 26.709753 26.780920 28.709753 28.850012 32.745274 32.808140 25.815039 45.229172 457.666992 1016.951233 77.222504 0.0 2.790140 0.57096 0.0 0.0 3.0 30.0 78.00 2.0 0.00 1.00 1.00 0.0 1.00 0.0 1.00 0.0 0.00 0.0 0.0 0.0 0.0 0.0 0.0 153.451904 2.759360 0.0 NaN
2019-05-02 00:00:04 0.1 1.0 3.264 27.709753 27.706615 29.341753 29.122658 30.745274 30.542080 26.709753 26.788549 28.709753 28.790503 32.745274 32.817295 25.779943 44.972427 454.168701 1016.865051 77.107498 0.0 2.791360 0.57096 0.0 3.0 5.0 29.0 103.00 2.0 0.00 2.00 1.00 1.0 0.00 0.0 0.00 0.0 0.00 0.0 0.0 0.0 0.0 0.0 0.0 194.505920 2.812238 0.0 NaN
2019-05-02 00:00:05 0.1 1.0 3.264 27.709753 27.694786 29.341753 29.101536 30.745274 30.546305 26.709753 26.764135 28.709753 28.689795 32.745274 32.823399 25.845556 44.941620 459.765869 1016.916748 78.142502 0.0 2.791360 0.56974 0.0 1.0 8.0 30.0 83.00 2.0 3.00 0.00 0.00 0.0 1.00 1.0 0.00 0.0 0.00 0.0 0.0 0.0 0.0 0.0 0.0 173.712936 2.855573 0.0 NaN
2019-05-02 00:00:06 0.1 1.0 3.264 27.709753 27.694786 29.341753 29.086327 30.745274 30.539545 26.709753 26.811438 28.709753 28.758459 32.745274 32.763889 25.830297 45.475632 463.264160 1016.072632 78.372505 0.0 2.788920 0.57096 0.0 2.0 8.0 23.0 73.00 3.0 1.00 3.00 0.00 1.0 0.00 1.0 0.00 0.0 0.00 0.0 0.0 0.0 0.0 0.0 0.0 150.011292 2.797190 0.0 NaN
2019-05-02 00:00:07 0.1 1.0 3.264 27.709753 27.685493 29.341753 29.099846 30.745274 30.558132 26.709753 26.776342 28.709753 28.827124 32.745274 32.768467 25.828772 44.797852 454.168701 1016.865051 77.107498 0.0 2.790140 0.56608 0.0 1.0 6.0 43.0 101.00 4.0 4.00 1.00 1.00 2.0 2.00 2.0 0.00 0.0 0.00 0.0 0.0 0.0 0.0 0.0 0.0 223.349808 2.713870 0.0 NaN
2019-05-02 00:00:08 0.1 1.0 3.264 27.709753 27.704926 29.341753 29.109985 30.745274 30.568272 26.709753 26.762609 28.709753 28.770666 32.745274 32.769993 25.836401 45.136734 459.416016 1016.623901 77.222504 0.0 2.788920 0.56974 0.0 1.0 9.0 27.0 81.00 6.0 0.00 1.00 1.00 0.0 0.00 0.0 0.00 0.0 0.00 0.0 0.0 0.0 0.0 0.0 0.0 167.250229 2.809274 0.0 NaN
2019-05-02 00:00:09 0.1 1.0 3.264 27.709753 27.713375 29.341753 29.104071 30.745274 30.553909 26.709753 26.777868 28.709753 28.756933 32.745274 32.751682 25.821142 45.064850 455.043213 1016.778931 77.222504 0.0 2.791360 0.56608 0.0 1.0 5.0 25.0 66.00 3.0 0.00 0.00 0.00 0.0 0.00 0.0 0.00 1.0 0.00 0.0 0.0 0.0 0.0 0.0 0.0 135.635880 2.858126 0.0 NaN
我正在尝试使用以下模型将此数据追加到Postgresql数据库中的表中：
class ccn(Base):
__tablename__ = 'ccn'
#id = Column(Integer, Sequence('ccn_id_seq'), primary_key=True, name='id')
Datetime = Column(TIMESTAMP, primary_key=True)
Current_ss = Column(Float, name='Current SS')
Temps_Stabilized = Column(Float, name='Column Temperatue Stabilized')
Delta_T = Column(Float, name='Delta T')
T1_Set = Column(Float, name='T1 Set')
T1_Read = Column(Float, name='T1 Read')
T2_Set = Column(Float, name='T2 Set')
T2_Read = Column(Float, name='T2 Read')
T3_Set = Column(Float, name='T3 Set')
T3_Read = Column(Float, name='T3 Read')
Naftion_Set = Column(Float, name='Naftion Set')
T_Naftion = Column(Float, name='T Naftion')
Inlet_Set = Column(Float, name='Inlet Set')
T_Inlet = Column(Float, name='T Inlet')
OCP_Set = Column(Float, name='OCP Set')
T_OCP = Column(Float, name='T OCP')
T_Sample = Column(Float, name='T Sample')
Sample_Flow = Column(Float, name='Sample Flow')
Sheath_Flow = Column(Float, name='Sheath Flow')
Sample_Pressure = Column(Float, name='Sample Pressure')
Laser_Current = Column(Float, name='Laser Current')
Overflow = Column(Float, name='Overflow')
Baseline_Mon = Column(Float, name='Baseline Monitor')
first_Stage_Mon = Column(Float, name='First Stage Monitor')
Bin = Column(Float, name='Bin')
Bin_1 = Column(Float, name='Bin 1')
Bin_2 = Column(Float, name='Bin 2')
Bin_3 = Column(Float, name='Bin 3')
Bin_4 = Column(Float, name='Bin 4')
Bin_5 = Column(Float, name='Bin 5')
Bin_6 = Column(Float, name='Bin 6')
Bin_7 = Column(Float, name='Bin 7')
Bin_8 = Column(Float, name='Bin 8')
Bin_9 = Column(Float, name='Bin 9')
Bin_10 = Column(Float, name='Bin 10')
Bin_11 = Column(Float, name='Bin 11')
Bin_12 = Column(Float, name='Bin 12')
Bin_13 = Column(Float, name='Bin 13')
Bin_14 = Column(Float, name='Bin 14')
Bin_15 = Column(Float, name='Bin 15')
Bin_16 = Column(Float, name='Bin 16')
Bin_17 = Column(Float, name='Bin 17')
Bin_18 = Column(Float, name='Bin 18')
Bin_19 = Column(Float, name='Bin 19')
Bin_20 = Column(Float, name='Bin 20')
CCN_Number_Conc = Column(Float, name='CCN Number Concentratrion')
Valve_Set = Column(Float, name='Valve Set')
Alarm_Code = Column(Float, name='Alarm Code')
CMD = Column(Float, name='CMD')
GMD = Column(Float, name='GMD')
问题是，这引发了一个错误，表明我无法插入“ Datetime”列，因为它已经存在，并且它也不允许我查询数据。
Traceback (most recent call last):
File "C:/Users/ACAS/PycharmProjects/ACAS/Main/Tester/clean.py", line 12, in <module>
pd.DataFrame.to_sql(x, 'ccn', engine, if_exists='append')
File "C:\Python27\lib\site-packages\pandas\core\generic.py", line 2531, in to_sql
dtype=dtype, method=method)
File "C:\Python27\lib\site-packages\pandas\io\sql.py", line 460, in to_sql
chunksize=chunksize, dtype=dtype, method=method)
File "C:\Python27\lib\site-packages\pandas\io\sql.py", line 1174, in to_sql
table.insert(chunksize, method=method)
File "C:\Python27\lib\site-packages\pandas\io\sql.py", line 664, in insert
keys, data_list = self.insert_data()
File "C:\Python27\lib\site-packages\pandas\io\sql.py", line 619, in insert_data
"duplicate name in index/columns: {0}".format(err))
ValueError: duplicate name in index/columns: cannot insert Datetime, already exists
我尝试从模型中删除“ Datetime”。我似乎找不到解决方法，也许我很天真，而且很容易做到。