More lint fixes (#198)

* autopep fixes

* remove unused imports

* fix plot_dataframe.py lint warnings

* make pep8 error fails the build

* two more line breakings

* matplotlib.use() must be called before pyplot import

freqtrade/optimize/__init__.py

@@ -13,7 +13,8 @@ from freqtrade.analyze import populate_indicators, parse_ticker_dataframe
 logger = logging.getLogger(__name__)
 
 
-def load_data(pairs: List[str], ticker_interval: int = 5, refresh_pairs: Optional[bool] = False) -> Dict[str, List]:
+def load_data(pairs: List[str], ticker_interval: int = 5,
+              refresh_pairs: Optional[bool] = False) -> Dict[str, List]:
     """
     Loads ticker history data for the given parameters
     :param ticker_interval: ticker interval in minutes
@@ -61,10 +62,10 @@ def download_pairs(pairs: List[str]) -> bool:
     """For each pairs passed in parameters, download 1 and 5 ticker intervals"""
     for pair in pairs:
         try:
-            for interval in [1,5]:
+            for interval in [1, 5]:
                 download_backtesting_testdata(pair=pair, interval=interval)
         except BaseException:
-            logger.info('Impossible to download the pair: "{pair}", Interval: {interval} min'.format(
+            logger.info('Failed to download the pair: "{pair}", Interval: {interval} min'.format(
                 pair=pair,
                 interval=interval,
             ))
@@ -103,7 +104,7 @@ def download_backtesting_testdata(pair: str, interval: int = 5) -> bool:
         logger.debug("Current Start: None")
         logger.debug("Current End: None")
 
-    new_data = get_ticker_history(pair = pair, tick_interval = int(interval))
+    new_data = get_ticker_history(pair=pair, tick_interval=int(interval))
     for row in new_data:
         if row not in data:
             data.append(row)

freqtrade/optimize/backtesting.py

@@ -140,7 +140,8 @@ def start(args):
             data[pair] = exchange.get_ticker_history(pair, args.ticker_interval)
     else:
         logger.info('Using local backtesting data (using whitelist in given config) ...')
-        data = load_data(pairs=pairs, ticker_interval=args.ticker_interval, refresh_pairs=args.refresh_pairs)
+        data = load_data(pairs=pairs, ticker_interval=args.ticker_interval,
+                         refresh_pairs=args.refresh_pairs)
 
         logger.info('Using stake_currency: %s ...', config['stake_currency'])
         logger.info('Using stake_amount: %s ...', config['stake_amount'])

freqtrade/optimize/hyperopt.py

@@ -150,7 +150,7 @@ def optimizer(params):
         'total_tries': TOTAL_TRIES,
         'result': result,
         'results': results
-        }
+    }
 
     # logger.info('{:5d}/{}: {}'.format(_CURRENT_TRIES, TOTAL_TRIES, result))
     log_results(result_data)
@@ -169,7 +169,7 @@ def format_results(results: DataFrame):
                 results.profit.mean() * 100.0,
                 results.profit.sum(),
                 results.duration.mean() * 5,
-            )
+    )
 
 
 def buy_strategy_generator(params):
@@ -232,7 +232,8 @@ def start(args):
     logger.info('Using config: %s ...', args.config)
     config = load_config(args.config)
     pairs = config['exchange']['pair_whitelist']
-    PROCESSED = optimize.preprocess(optimize.load_data(pairs=pairs, ticker_interval=args.ticker_interval))
+    PROCESSED = optimize.preprocess(optimize.load_data(
+        pairs=pairs, ticker_interval=args.ticker_interval))
 
     if args.mongodb:
         logger.info('Using mongodb ...')