3. Pandas Dataframe issue (int object has no attribute to_pydatetime)
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Pandas Dataframe issue (int object has no attribute to_pydatetime)


  • Re: Pandas Dataframe issue with datetime index

    Re: Bug using Pandas hdf?

    Anyone has got a solution to this?
    I am still not able to figure out why this error is occurring. (AttributeError: 'int' object has no attribute 'to_pydatetime')

    Below is my code which is giving the error. I have tried the above two solutions. They haven't worked either and have tried multiple ways to solve this.

    try:
        connection = psycopg2.connect(user="<ABC>",
                                      host="<ABC>",
                                      port="<ABC>",
                                      database="<ABC>")

        cursor = connection.cursor()
        # Print PostgreSQL Connection properties
        print(connection.get_dsn_parameters(), "\n")

        # Print PostgreSQL version
        cursor.execute("SELECT version();")
        record = cursor.fetchone()
        print("You are connected to - ", record, "\n")

except (Exception, psycopg2.Error) as error:
    print("Error while connecting to PostgreSQL", error)
ticker_data = psql.read_sql("""select tick_date as datetime,open_price as open,high_price as high,low_price as low,close_price as close,volume from stock_ticker_daily_new where stock_code = 'PNC' and tick_date > '2019-09-01' and tick_date < '2019-11-25';"""  , connection)
ticker_data['datetime'] = pd.to_datetime(ticker_data['datetime'])
data = bt.feeds.PandasData(dataname=ticker_data)
cerebro.adddata(data, name = i)
    
cerebro.addanalyzer(Screener_SMA, period=14)
cerebro.run(runonce=False, stdstats=False, writer=True)
# for i in ticker_symbols['stock_code']:
#     ticker_data[i] = psql.read_sql("""select tick_date as datetime,open_price as open,high_price as high,low_price as low,close_price as close,volume from stock_ticker_daily_new where stock_code = '%s' and tick_date > '2019-11-01' and tick_date < '2019-11-25';""" % i, connection)
print(ticker_data)# print(ticker_data)
# closing database connection.
if (connection):
    cursor.close()
    connection.close()

    This is the error.

    You are connected to -  ('PostgreSQL 11.6 on x86_64-apple-darwin16.7.0, compiled by Apple LLVM version 8.1.0 (clang-802.0.42), 64-bit',) 

     datetime   open   high    low  close  volume
0  2019-09-03  15.50  15.50  14.30  14.45     681
1  2019-09-04  14.20  15.45  14.10  14.90    5120
2  2019-09-05  15.00  15.00  14.40  14.40     179
3  2019-09-06  15.00  15.00  14.35  14.95   12216
4  2019-09-09  15.00  15.00  14.55  14.65    3073
5  2019-09-11  15.00  15.00  14.40  14.50     510
6  2019-09-12  15.00  15.00  14.25  14.35    3827
7  2019-09-13  14.85  14.95  14.60  14.90    5684
8  2019-09-16  14.80  14.80  14.20  14.55   11345
9  2019-09-17  14.80  14.80  14.80  14.80     180
10 2019-09-18  14.75  14.90  14.35  14.85    9394
11 2019-09-19  15.00  15.00  14.30  14.45    2896
12 2019-09-20  14.30  17.30  14.30  15.05   14271
13 2019-09-23  15.90  15.90  14.75  14.75   14584
14 2019-09-24  15.40  15.40  14.35  15.05   12124
15 2019-09-25  16.80  16.80  13.50  14.10   32398
16 2019-09-26  14.55  15.50  14.30  14.40    9016
17 2019-09-27  15.25  15.25  14.20  14.40    2886
18 2019-09-30  15.20  15.20  14.00  14.05    2671
19 2019-10-01  14.75  14.75  13.25  13.35    2039
20 2019-10-03  14.85  14.85  13.10  13.65    3409
21 2019-10-04  14.45  14.45  13.25  13.35    2180
22 2019-10-07  13.10  14.20  13.10  13.35     570
23 2019-10-09  14.85  14.85  13.35  13.55     406
24 2019-10-10  14.40  14.45  13.10  13.40     300
25 2019-10-11  14.20  14.20  13.10  13.35     530
26 2019-10-14  13.00  14.75  13.00  13.50   30290
27 2019-10-15  14.75  14.75  12.50  12.80    1043
28 2019-10-16  13.90  13.90  12.60  12.75    1266
29 2019-10-17  14.30  14.30  12.10  12.65    2504
30 2019-10-18  13.95  13.95  12.80  13.00     253
31 2019-10-22  14.70  14.70  12.55  13.25    2360
32 2019-10-23  14.80  14.80  12.40  13.70   35380
33 2019-10-24  14.90  14.90  13.35  13.80    1362
34 2019-10-25  14.80  14.80  13.35  13.30     198
35 2019-10-29  14.50  14.50  13.25  13.50    1911
36 2019-10-30  14.00  14.00  12.75  14.00    1137
37 2019-10-31  15.45  15.45  13.10  14.60    2528
38 2019-11-01  14.95  14.95  13.35  14.00    1435
39 2019-11-04  14.00  14.75  14.00  14.70    2088
40 2019-11-05  15.00  15.00  14.05  14.70     268
41 2019-11-06  14.50  14.50  13.65  13.75     309
42 2019-11-07  14.90  14.90  14.15  14.70     222
43 2019-11-08  14.50  14.55  13.60  13.95    5583
44 2019-11-11  14.80  14.80  14.00  14.70     857
45 2019-11-13  14.70  14.80  14.05  14.35     267
46 2019-11-14  14.95  14.95  14.00  14.25    1025
47 2019-11-15  13.60  14.90  13.20  14.65   13032
48 2019-11-18  14.80  14.80  13.50  14.50     428
49 2019-11-19  14.05  14.70  13.75  14.15    7511
50 2019-11-20  14.00  14.70  13.75  14.65    1511
51 2019-11-21  14.70  14.70  13.75  14.05    2347
52 2019-11-22  13.95  15.10  13.80  14.70    7812
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-226-20a6becfd09f> in <module>
     23 
     24 cerebro.addanalyzer(Screener_SMA, period=14)
---> 25 cerebro.run(runonce=False, stdstats=False, writer=True)
     26 # for i in ticker_symbols['stock_code']:
     27 #     ticker_data[i] = psql.read_sql("""select tick_date as datetime,open_price as open,high_price as high,low_price as low,close_price as close,volume from stock_ticker_daily_new where stock_code = '%s' and tick_date > '2019-11-01' and tick_date < '2019-11-25';""" % i, connection)

~/py_37_env/lib/python3.7/site-packages/backtrader/cerebro.py in run(self, **kwargs)
   1125             # let's skip process "spawning"
   1126             for iterstrat in iterstrats:
-> 1127                 runstrat = self.runstrategies(iterstrat)
   1128                 self.runstrats.append(runstrat)
   1129                 if self._dooptimize:

~/py_37_env/lib/python3.7/site-packages/backtrader/cerebro.py in runstrategies(self, iterstrat, predata)
   1210                 data._start()
   1211                 if self._dopreload:
-> 1212                     data.preload()
   1213 
   1214         for stratcls, sargs, skwargs in iterstrat:

~/py_37_env/lib/python3.7/site-packages/backtrader/feed.py in preload(self)
    436 
    437     def preload(self):
--> 438         while self.load():
    439             pass
    440 

~/py_37_env/lib/python3.7/site-packages/backtrader/feed.py in load(self)
    477 
    478             if not self._fromstack(stash=True):
--> 479                 _loadret = self._load()
    480                 if not _loadret:  # no bar use force to make sure in exactbars
    481                     # the pointer is undone this covers especially (but not

~/py_37_env/lib/python3.7/site-packages/backtrader/feeds/pandafeed.py in _load(self)
    266 
    267         # convert to float via datetime and store it
--> 268         dt = tstamp.to_pydatetime()
    269         dtnum = date2num(dt)
    270         self.lines.datetime[0] = dtnum

AttributeError: 'int' object has no attribute 'to_pydatetime'

    There is a chance I am making some mistake. Can someone please help me with it? If any other information is needed or more of the code is needed I can uploaded it but I thought this would be sufficient since I think the issue is in the format of the data I am getting out from sql.
    Few things to know about the data types I have tried

    • Tried making the date column into date time and then into index. Didn't work.

    • Just for the information only the volume column is an int. Others are float and I am converting datetime column into pandas date time and then index.

    • EVEN IF I add this line to set index same error is given.

    '''
    ticker_data = ticker_data.set_index('datetime')
    '''

    Any help would be appreciated and if anything else is needed I would be happy to add on to the question. Thanks in advance.

    0
  • B
    administrators

    @Suraj-Thorat said in Pandas Dataframe issue (int object has no attribute to_pydatetime):

    Anyone has got a solution to this?

    Yes. Read the documentation.

    The error is self-explaining.

    int object has no attribute to_pydatetime

    @Suraj-Thorat said in Pandas Dataframe issue (int object has no attribute to_pydatetime):

         datetime   open   high    low  close  volume
0  2019-09-03  15.50  15.50  14.30  14.45     681
1  2019-09-04  14.20  15.45  14.10  14.90    5120

    And you have an index which is made up of int values.

    @Suraj-Thorat said in Pandas Dataframe issue (int object has no attribute to_pydatetime):

    • EVEN IF I add this line to set index same error is given.

    Basic engineering principles:

    • You say you have done something
    • But you show code with something else
    • That means that for all intent and purposes you haven't done that.

    The PandasData has a dedicated documentation page, which shows the parameters available for the data feed, and the following is stated

    Link: Docs - PandasData - https://www.backtrader.com/docu/pandas-datafeed/pandas-datafeed/

    ...
    params = (
        # Possible values for datetime (must always be present)
        #  None : datetime is the "index" in the Pandas Dataframe
        #  -1 : autodetect position or case-wise equal name
        #  >= 0 : numeric index to the colum in the pandas dataframe
        #  string : column name (as index) in the pandas dataframe
        ('datetime', None),
...
    0
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