ImportError: cannot import name MIN_PER_HOUR - when trying to plot

thorsten99

I try to use the the example in the QuickStart tutorial however the plotting does not work ...

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

import datetime  # For datetime objects
import os.path  # To manage paths
import sys  # To find out the script name (in argv[0])

# Import the backtrader platform
import backtrader as bt


# Create a Stratey
class TestStrategy(bt.Strategy):
    params = (
        ('maperiod', 15),
    )

    def log(self, txt, dt=None):
        ''' Logging function fot this strategy'''
        dt = dt or self.datas[0].datetime.date(0)
        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

        # To keep track of pending orders and buy price/commission
        self.order = None
        self.buyprice = None
        self.buycomm = None

        # Add a MovingAverageSimple indicator
        self.sma = bt.indicators.SimpleMovingAverage(
            self.datas[0], period=self.params.maperiod)

        # Indicators for the plotting show
        bt.indicators.ExponentialMovingAverage(self.datas[0], period=25)
        bt.indicators.WeightedMovingAverage(self.datas[0], period=25,
                                            subplot=True)
        bt.indicators.StochasticSlow(self.datas[0])
        bt.indicators.MACDHisto(self.datas[0])
        rsi = bt.indicators.RSI(self.datas[0])
        bt.indicators.SmoothedMovingAverage(rsi, period=10)
        bt.indicators.ATR(self.datas[0], plot=False)

    def notify_order(self, order):
        if order.status in [order.Submitted, order.Accepted]:
            # Buy/Sell order submitted/accepted to/by broker - Nothing to do
            return

        # Check if an order has been completed
        # Attention: broker could reject order if not enough cash
        if order.status in [order.Completed]:
            if order.isbuy():
                self.log(
                    'BUY EXECUTED, Price: %.2f, Cost: %.2f, Comm %.2f' %
                    (order.executed.price,
                     order.executed.value,
                     order.executed.comm))

                self.buyprice = order.executed.price
                self.buycomm = order.executed.comm
            else:  # Sell
                self.log('SELL EXECUTED, Price: %.2f, Cost: %.2f, Comm %.2f' %
                         (order.executed.price,
                          order.executed.value,
                          order.executed.comm))

            self.bar_executed = len(self)

        elif order.status in [order.Canceled, order.Margin, order.Rejected]:
            self.log('Order Canceled/Margin/Rejected')

        # Write down: no pending order
        self.order = None

    def notify_trade(self, trade):
        if not trade.isclosed:
            return

        self.log('OPERATION PROFIT, GROSS %.2f, NET %.2f' %
                 (trade.pnl, trade.pnlcomm))

    def next(self):
        # Simply log the closing price of the series from the reference
        self.log('Close, %.2f' % self.dataclose[0])

        # Check if an order is pending ... if yes, we cannot send a 2nd one
        if self.order:
            return

        # Check if we are in the market
        if not self.position:

            # Not yet ... we MIGHT BUY if ...
            if self.dataclose[0] > self.sma[0]:

                # BUY, BUY, BUY!!! (with all possible default parameters)
                self.log('BUY CREATE, %.2f' % self.dataclose[0])

                # Keep track of the created order to avoid a 2nd order
                self.order = self.buy()

        else:

            if self.dataclose[0] < self.sma[0]:
                # SELL, SELL, SELL!!! (with all possible default parameters)
                self.log('SELL CREATE, %.2f' % self.dataclose[0])

                # Keep track of the created order to avoid a 2nd order
                self.order = self.sell()


if __name__ == '__main__':
    # Create a cerebro entity
    cerebro = bt.Cerebro()

    # Add a strategy
    cerebro.addstrategy(TestStrategy)

    # Datas are in a subfolder of the samples. Need to find where the script is
    # because it could have been called from anywhere
    modpath = os.path.dirname(os.path.abspath(sys.argv[0]))
    datapath = os.path.join(modpath, '../../datas/orcl-1995-2014.txt')

    # Create a Data Feed
    data = bt.feeds.YahooFinanceCSVData(
        dataname=datapath,
        # Do not pass values before this date
        fromdate=datetime.datetime(2000, 1, 1),
        # Do not pass values before this date
        todate=datetime.datetime(2000, 12, 31),
        # Do not pass values after this date
        reverse=False)

    # Add the Data Feed to Cerebro
    cerebro.adddata(data)

    # Set our desired cash start
    cerebro.broker.setcash(1000.0)

    # Add a FixedSize sizer according to the stake
    cerebro.addsizer(bt.sizers.FixedSize, stake=10)

    # Set the commission
    cerebro.broker.setcommission(commission=0.0)

    # Print out the starting conditions
    print('Starting Portfolio Value: %.2f' % cerebro.broker.getvalue())

    # Run over everything
    cerebro.run()

    # Print out the final result
    print('Final Portfolio Value: %.2f' % cerebro.broker.getvalue())

    # Plot the result
    cerebro.plot()

2014-12-23, Close, 46.01
2014-12-24, Close, 46.23
2014-12-26, Close, 46.10
2014-12-29, Close, 45.61
2014-12-30, Close, 45.34
Final Portfolio Value: 775.00
Traceback (most recent call last):
File "realstrat1.py", line 184, in <module>
cerebro.plot()
File "/Library/Python/2.7/site-packages/backtrader/cerebro.py", line 974, in plot
from . import plot
File "/Library/Python/2.7/site-packages/backtrader/plot/init.py", line 33, in <module>
from .plot import Plot, Plot_OldSync
File "/Library/Python/2.7/site-packages/backtrader/plot/plot.py", line 44, in <module>
from . import locator as loc
File "/Library/Python/2.7/site-packages/backtrader/plot/locator.py", line 35, in <module>
from matplotlib.dates import (HOURS_PER_DAY, MIN_PER_HOUR, SEC_PER_MIN,
ImportError: cannot import name MIN_PER_HOUR

any ideas how I can solve this issue?

Thanks

backtrader

It works for everyone else and it is a defined value in the matplotlib sources.

https://github.com/matplotlib/matplotlib/blob/abe0e3957596c1f455a2f84b97731651f1e5b9cf/lib/matplotlib/dates.py#L215

Either your matplotlib installation is corrupted, you have a version which pre-dates anything which was ever used with backtrader or something else.

kane

@thorsten99 I installed matplotlib 3.3.0 just yesterday and started having problems around dates. Different from yours (ImportError: cannot import 'warnings') but it might not be a coincidence. Try installing matplotlib version 3.2.2.

qwe qwe

@kane said in ImportError: cannot import name MIN_PER_HOUR - when trying to plot:

@thorsten99 I installed matplotlib 3.3.0 just yesterday and started having problems around dates. Different from yours (ImportError: cannot import 'warnings') but it might not be a coincidence. Try installing matplotlib version 3.2.2.

same here.
I used matplotlib 3.3.0

masih Hakimi

@backtrader, I have the same problem. I have originally matplolib 3.2.2 and out of nowhere it stopped printing time labels on the x-axis, then I saw you have suggested installing an earlier version. However out of curiosity, I installed even newer version which is matplotlib 3.3.0, and now I'm getting same error as other guys!(ImportError: cannot import 'warnings')
@kane

Brilliant Forecast

the same errror. Downgraded Matplotlib to 3.2.2 worked.

Brilliant Forecast

the same errror. Downgraded Matplotlib to 3.2.2 worked.

ch4r0n

the error is in here

  File "/Users/ch4r0n/.pyenv/versions/3.7.5/lib/python3.7/site-packages/backtrader/plot/plot.py", line 44, in <module>
    from . import locator as loc
  File "/Users/ch4r0n/.pyenv/versions/3.7.5/lib/python3.7/site-packages/backtrader/plot/locator.py", line 35, in <module>
    from matplotlib.dates import (HOURS_PER_DAY, MIN_PER_HOUR, SEC_PER_MIN,
ImportError: cannot import name 'warnings' from 'matplotlib.dates' (/Users/ch4r0n/.pyenv/versions/3.7.5/lib/python3.7/site-packages/matplotlib/dates.py)

backtrader/plot/locator.py

from matplotlib.dates import (HOURS_PER_DAY, MIN_PER_HOUR, SEC_PER_MIN,
                              MONTHS_PER_YEAR, DAYS_PER_WEEK,
                              SEC_PER_HOUR, SEC_PER_DAY,
                              num2date, rrulewrapper, YearLocator,
                              MicrosecondLocator, warnings)

The 'warnings' modules has been remove in the matplotlib3.3.0
so you should delete it warnings

from matplotlib.dates import (HOURS_PER_DAY, MIN_PER_HOUR, SEC_PER_MIN,
                              MONTHS_PER_YEAR, DAYS_PER_WEEK,
                              SEC_PER_HOUR, SEC_PER_DAY,
                              num2date, rrulewrapper, YearLocator,
                              MicrosecondLocator)

it worked!

gregOh

@ch4r0n I applied the changes and still showing the same error, any suggestions?
complete code below(you need to change Alpaca keys to run, you can get your own key at https://alpaca.markets/)

Complete code below:

from matplotlib.dates import (HOURS_PER_DAY, MIN_PER_HOUR, SEC_PER_MIN,
MONTHS_PER_YEAR, DAYS_PER_WEEK,
SEC_PER_HOUR, SEC_PER_DAY,
num2date, rrulewrapper, YearLocator,
MicrosecondLocator)
import alpaca_backtrader_api
import backtrader as bt
from datetime import datetime
#import matplotlib

ALPACA_API_KEY = "XXXX"
ALPACA_SECRET_KEY = "XXXX"
ALPACA_PAPER = True

class SmaCross(bt.SignalStrategy):
def init(self):
sma1, sma2 = bt.ind.SMA(period=10), bt.ind.SMA(period=30)
crossover = bt.ind.CrossOver(sma1, sma2)
self.signal_add(bt.SIGNAL_LONG, crossover)

cerebro = bt.Cerebro()
cerebro.addstrategy(SmaCross)

store = alpaca_backtrader_api.AlpacaStore(
key_id=ALPACA_API_KEY,
secret_key=ALPACA_SECRET_KEY,
paper=ALPACA_PAPER
)

if not ALPACA_PAPER:
broker = store.getbroker() # or just alpaca_backtrader_api.AlpacaBroker()
cerebro.setbroker(broker)

DataFactory = store.getdata # or use alpaca_backtrader_api.AlpacaData
data0 = DataFactory(dataname='AAPL', historical=True, fromdate=datetime(
2015, 1, 1), timeframe=bt.TimeFrame.Days)
cerebro.adddata(data0)

print('Starting Portfolio Value: %.2f' % cerebro.broker.getvalue())
cerebro.run()
print('Final Portfolio Value: %.2f' % cerebro.broker.getvalue())
cerebro.plot()

gregOh

I am using MatPlotlib version 3.3.1
backtrader 1.9.76.123
python 3.8.5

gregOh

![alt text]( image url)

Forgotten Light

I encountered the same issue.

python: 3.8.3
backtrader: 1.9.76.123
matplotlib: 3.3.1

you can either downgrade to matplotlib 3.2.2 or refer this pull request to fix it yourself:
https://github.com/mementum/backtrader/pull/418