Plot is no working, and I don't know why. Help please!

[HoloDevOne]

Hello, I am a newbie here. First, thanks for the framework and the work put in it.

I'm still doing the samples from the quickstart guide, but I can't plot the prices or anything.

I had the Matplotlib 'warnings' error, and I delete it from the plot/locator.py. as I read in another post, but now I had no error, just didn't plot anything.

This is my code:

from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime
import backtrader as bt
# from backtrader.utils import flushfile  # win32 quick stdout flushing
import json
import btoandav20 as bto
import sma_crossover as st


class TestStrategy(bt.Strategy):

    def log(self, txt, dt=None):
        ''' Logging function for this strategy'''
        dt = dt or self.datas[0].datetime.date(0) # Ver como incluir las horas. ???
        print('%s, %s' % (dt.isoformat(), txt))

    def __init__(self):
        # Keep a reference to the "close" line in the data[0] dataseries
        self.dataclose = self.datas[0].close

    def next(self):
        # Simply log the closing price of the series from the reference
        self.log('Close, %.4f' % self.dataclose[0])



with open("config.json", "r") as file:
    config = json.load(file)

storekwargs = dict(
    token=config["oanda"]["token"],
    account=config["oanda"]["account"],
    practice=config["oanda"]["practice"],
    notif_transactions=True,
    stream_timeout=10,
)
store = bto.stores.OandaV20Store(**storekwargs)

datakwargs = dict(
    timeframe=bt.TimeFrame.Days,
    compression=1,
    tz='America/Bogota',
    historical=True,
    fromdate=datetime.datetime(2021, 1, 1),
    todate=datetime.datetime.today(),
    backfill=False,
    backfill_start=True
)

data = store.getdata(dataname="EUR_USD", **datakwargs)
data.resample(
    timeframe=bt.TimeFrame.Days,
    compression=1)  # rightedge=True, boundoff=1)


cerebro = bt.Cerebro()
cerebro.broker.setcash(500.0)
print('Starting Portfolio Value:  %.2f' % cerebro.broker.getvalue())
cerebro.adddata(data)
#cerebro.setbroker()  # tal vez no deba cargar el broker aun
cerebro.addstrategy(TestStrategy)  # Utilizo estrategia comodin
cerebro.run()
print(data)
print('Final Portfolio Value; %.2f' % cerebro.broker.getvalue())
cerebro.plot()

I'm taking the data from Oanda directly:

Starting Portfolio Value:  500.00
2020-01-02, Close, 1.1172
2020-01-03, Close, 1.1154
2020-01-06, Close, 1.1196
2020-01-07, Close, 1.1146
2020-01-08, Close, 1.1100
2020-01-09, Close, 1.1105
2020-01-10, Close, 1.1116
2020-01-13, Close, 1.1133
2020-01-14, Close, 1.1124
2020-01-15, Close, 1.1149
2020-01-16, Close, 1.1134
2020-01-17, Close, 1.1087
2020-01-20, Close, 1.1094
2020-01-21, Close, 1.1081
2020-01-22, Close, 1.1091
2020-01-23, Close, 1.1051
2020-01-24, Close, 1.1022
2020-01-27, Close, 1.1018
2020-01-28, Close, 1.1021
2020-01-29, Close, 1.1009
2020-01-30, Close, 1.1030
2020-01-31, Close, 1.1090
2020-02-03, Close, 1.1056
2020-02-04, Close, 1.1043
2020-02-05, Close, 1.0998
2020-02-06, Close, 1.0980
2020-02-07, Close, 1.0943
2020-02-10, Close, 1.0910
2020-02-11, Close, 1.0915
2020-02-12, Close, 1.0872
2020-02-13, Close, 1.0839
2020-02-14, Close, 1.0829
2020-02-17, Close, 1.0831
2020-02-18, Close, 1.0791
2020-02-19, Close, 1.0805
2020-02-20, Close, 1.0783
2020-02-21, Close, 1.0846
2020-02-24, Close, 1.0852
2020-02-25, Close, 1.0880
2020-02-26, Close, 1.0879
2020-02-27, Close, 1.1000
2020-02-28, Close, 1.1023
2020-03-02, Close, 1.1132
2020-03-03, Close, 1.1169
2020-03-04, Close, 1.1132
2020-03-05, Close, 1.1236
2020-03-06, Close, 1.1280
2020-03-09, Close, 1.1435
2020-03-10, Close, 1.1278
2020-03-11, Close, 1.1268
2020-03-12, Close, 1.1184
2020-03-13, Close, 1.1100
2020-03-16, Close, 1.1179
2020-03-17, Close, 1.0996
2020-03-18, Close, 1.0911
2020-03-19, Close, 1.0690
2020-03-20, Close, 1.0691
2020-03-23, Close, 1.0722
2020-03-24, Close, 1.0786
2020-03-25, Close, 1.0880
2020-03-26, Close, 1.1031
2020-03-27, Close, 1.1137
2020-03-30, Close, 1.1043
2020-03-31, Close, 1.1029
2020-04-01, Close, 1.0961
2020-04-02, Close, 1.0855
2020-04-03, Close, 1.0801
2020-04-06, Close, 1.0791
2020-04-07, Close, 1.0891
2020-04-08, Close, 1.0854
2020-04-09, Close, 1.0928
2020-04-10, Close, 1.0931
2020-04-13, Close, 1.0906
2020-04-14, Close, 1.0978
2020-04-15, Close, 1.0906
2020-04-16, Close, 1.0837
2020-04-17, Close, 1.0869
2020-04-20, Close, 1.0862
2020-04-21, Close, 1.0855
2020-04-22, Close, 1.0823
2020-04-23, Close, 1.0776
2020-04-24, Close, 1.0818
2020-04-27, Close, 1.0827
2020-04-28, Close, 1.0819
2020-04-29, Close, 1.0871
2020-04-30, Close, 1.0951
2020-05-01, Close, 1.0974
2020-05-04, Close, 1.0900
2020-05-05, Close, 1.0836
2020-05-06, Close, 1.0794
2020-05-07, Close, 1.0831
2020-05-08, Close, 1.0833
2020-05-11, Close, 1.0805
2020-05-12, Close, 1.0846
2020-05-13, Close, 1.0818
2020-05-14, Close, 1.0804
2020-05-15, Close, 1.0815
2020-05-18, Close, 1.0913
2020-05-19, Close, 1.0922
2020-05-20, Close, 1.0978
2020-05-21, Close, 1.0949
2020-05-22, Close, 1.0897
2020-05-25, Close, 1.0894
2020-05-26, Close, 1.0981
2020-05-27, Close, 1.1008
2020-05-28, Close, 1.1076
2020-05-29, Close, 1.1100
2020-06-01, Close, 1.1133
2020-06-02, Close, 1.1168
2020-06-03, Close, 1.1232
2020-06-04, Close, 1.1335
2020-06-05, Close, 1.1290
2020-06-08, Close, 1.1293
2020-06-09, Close, 1.1338
2020-06-10, Close, 1.1371
2020-06-11, Close, 1.1297
2020-06-12, Close, 1.1250
2020-06-15, Close, 1.1322
2020-06-16, Close, 1.1262
2020-06-17, Close, 1.1242
2020-06-18, Close, 1.1204
2020-06-19, Close, 1.1176
2020-06-22, Close, 1.1257
2020-06-23, Close, 1.1308
2020-06-24, Close, 1.1249
2020-06-25, Close, 1.1217
2020-06-26, Close, 1.1216
2020-06-29, Close, 1.1241
2020-06-30, Close, 1.1232
2020-07-01, Close, 1.1250
2020-07-02, Close, 1.1238
2020-07-03, Close, 1.1243
2020-07-06, Close, 1.1308
2020-07-07, Close, 1.1273
2020-07-08, Close, 1.1329
2020-07-09, Close, 1.1284
2020-07-10, Close, 1.1298
2020-07-13, Close, 1.1342
2020-07-14, Close, 1.1399
2020-07-15, Close, 1.1411
2020-07-16, Close, 1.1383
2020-07-17, Close, 1.1425
2020-07-20, Close, 1.1446
2020-07-21, Close, 1.1526
2020-07-22, Close, 1.1569
2020-07-23, Close, 1.1595
2020-07-24, Close, 1.1654
2020-07-27, Close, 1.1750
2020-07-28, Close, 1.1714
2020-07-29, Close, 1.1790
2020-07-30, Close, 1.1846
2020-07-31, Close, 1.1775
2020-08-03, Close, 1.1761
2020-08-04, Close, 1.1801
2020-08-05, Close, 1.1863
2020-08-06, Close, 1.1876
2020-08-07, Close, 1.1784
2020-08-10, Close, 1.1736
2020-08-11, Close, 1.1739
2020-08-12, Close, 1.1783
2020-08-13, Close, 1.1813
2020-08-14, Close, 1.1840
2020-08-17, Close, 1.1869
2020-08-18, Close, 1.1930
2020-08-19, Close, 1.1836
2020-08-20, Close, 1.1859
2020-08-21, Close, 1.1795
2020-08-24, Close, 1.1786
2020-08-25, Close, 1.1833
2020-08-26, Close, 1.1829
2020-08-27, Close, 1.1821
2020-08-28, Close, 1.1903
2020-08-31, Close, 1.1935
2020-09-01, Close, 1.1911
2020-09-02, Close, 1.1854
2020-09-03, Close, 1.1851
2020-09-04, Close, 1.1837
2020-09-07, Close, 1.1811
2020-09-08, Close, 1.1773
2020-09-09, Close, 1.1801
2020-09-10, Close, 1.1813
2020-09-11, Close, 1.1845
2020-09-14, Close, 1.1863
2020-09-15, Close, 1.1846
2020-09-16, Close, 1.1815
2020-09-17, Close, 1.1847
2020-09-18, Close, 1.1838
2020-09-21, Close, 1.1770
2020-09-22, Close, 1.1707
2020-09-23, Close, 1.1659
2020-09-24, Close, 1.1662
2020-09-25, Close, 1.1628
2020-09-28, Close, 1.1659
2020-09-29, Close, 1.1742
2020-09-30, Close, 1.1719
2020-10-01, Close, 1.1745
2020-10-02, Close, 1.1715
2020-10-05, Close, 1.1784
2020-10-06, Close, 1.1733
2020-10-07, Close, 1.1761
2020-10-08, Close, 1.1759
2020-10-09, Close, 1.1823
2020-10-12, Close, 1.1810
2020-10-13, Close, 1.1745
2020-10-14, Close, 1.1745
2020-10-15, Close, 1.1706
2020-10-16, Close, 1.1712
2020-10-19, Close, 1.1769
2020-10-20, Close, 1.1821
2020-10-21, Close, 1.1859
2020-10-22, Close, 1.1818
2020-10-23, Close, 1.1859
2020-10-26, Close, 1.1808
2020-10-27, Close, 1.1794
2020-10-28, Close, 1.1745
2020-10-29, Close, 1.1671
2020-10-30, Close, 1.1643
2020-11-02, Close, 1.1640
2020-11-03, Close, 1.1718
2020-11-04, Close, 1.1719
2020-11-05, Close, 1.1825
2020-11-06, Close, 1.1870
2020-11-09, Close, 1.1813
2020-11-10, Close, 1.1814
2020-11-11, Close, 1.1778
2020-11-12, Close, 1.1804
2020-11-13, Close, 1.1832
2020-11-16, Close, 1.1852
2020-11-17, Close, 1.1860
2020-11-18, Close, 1.1853
2020-11-19, Close, 1.1873
2020-11-20, Close, 1.1855
2020-11-23, Close, 1.1840
2020-11-24, Close, 1.1892
2020-11-25, Close, 1.1912
2020-11-26, Close, 1.1910
2020-11-27, Close, 1.1962
2020-11-30, Close, 1.1923
2020-12-01, Close, 1.2071
2020-12-02, Close, 1.2115
2020-12-03, Close, 1.2147
2020-12-04, Close, 1.2119
2020-12-07, Close, 1.2107
2020-12-08, Close, 1.2103
2020-12-09, Close, 1.2081
2020-12-10, Close, 1.2141
2020-12-11, Close, 1.2107
2020-12-14, Close, 1.2142
2020-12-15, Close, 1.2151
2020-12-16, Close, 1.2198
2020-12-17, Close, 1.2266
2020-12-18, Close, 1.2251
2020-12-21, Close, 1.2242
2020-12-22, Close, 1.2161
2020-12-23, Close, 1.2183
2020-12-24, Close, 1.2183
2020-12-28, Close, 1.2214
2020-12-29, Close, 1.2249
2020-12-30, Close, 1.2298
2020-12-31, Close, 1.2212
2021-01-04, Close, 1.2252
2021-01-05, Close, 1.2297
2021-01-06, Close, 1.2323
2021-01-07, Close, 1.2268
2021-01-08, Close, 1.2216
2021-01-11, Close, 1.2150
2021-01-12, Close, 1.2207
2021-01-13, Close, 1.2157
2021-01-14, Close, 1.2150
2021-01-15, Close, 1.2075
2021-01-18, Close, 1.2075
2021-01-19, Close, 1.2127
2021-01-20, Close, 1.2105
2021-01-21, Close, 1.2167
2021-01-22, Close, 1.2171
2021-01-25, Close, 1.2141
2021-01-26, Close, 1.2159
2021-01-27, Close, 1.2111
2021-01-28, Close, 1.2121
2021-01-29, Close, 1.2136
2021-02-01, Close, 1.2059
2021-02-02, Close, 1.2043
2021-02-03, Close, 1.2034
2021-02-04, Close, 1.1958
2021-02-05, Close, 1.2042
2021-02-08, Close, 1.2047
2021-02-09, Close, 1.2117
2021-02-10, Close, 1.2117
2021-02-11, Close, 1.2128
2021-02-12, Close, 1.2119
2021-02-15, Close, 1.2127
2021-02-16, Close, 1.2104
<btoandav20.feeds.oandav20feed.OandaV20Data object at 0x7fe21187a820>
Final Portfolio Value; 500.00

And went it got to this point just fall into an infinite loop or something. I must kill the process.

Any help must be appreciated. Thanks.

[run-out]

@holodevone Your code is working fine on my machine, although I used local data. There's something amis with the installation of your matplotlib I think.

[HoloDevOne]

@run-out Thanks for your help. 😁👍🏻

I'm still unable to plot. So, I'll continue in the quest for a solution. Seems some problems with Tk and matplotlib are common in the recent versions of MacOs. The Python Launcher just does not finish starting so I need to kill the process.

I use Mac 10.15, python 3.9, backtrader 1.9.76.123, btoandav20 0.2.0, matplotlib 3.3.4, v20 3.0.25.0.

[run-out]

@holodevone There have been some discussion regarding matplotlib versions in the community. Have a look there. Sorry I can't be of more help.

[HoloDevOne]

@run-out Hello, finally I find the issue. I'm using data from Oanda, and seems the problem was the param timeframe in the creation of the data feed. When I setup the timeframe to bt.TimeFrame.Minutes and Compression to 5 it works.

I share the code, maybe someone can benefit of that!

Again, thanks for your help!

data = bt.feeds.GenericCSVData(
    dataname='data/audusd_M5.csv',
    fromdate=datetime.datetime(2005, 1, 2, 18, 45),
    todate=datetime.datetime(2005, 1, 31, 23, 45),
    timeframe = bt.TimeFrame.Minutes,
    compression = 5, 
    index= -1, 
    dtformat=("%Y-%m-%dT%H:%M:%S.000000000Z"), 
    datetime=0, 
    high=1, 
    low=2, 
    open=3,
    close=4, 
    volume=5, 
    openinterest=-1
    
    )

[HoloDevOne]

@holodevone And I've installed the Backtrader2 repository instead of the original, I believe the work that you guys are doing is really good and I can see you all are taking charge of the bugs, so surely that update is the gross part of the solution for me. Thanks.

https://github.com/backtrader2/backtrader