diff --git a/scripts/plot_profit.py b/scripts/plot_profit.py index 3f753cac9..1bdce62a1 100755 --- a/scripts/plot_profit.py +++ b/scripts/plot_profit.py @@ -1,27 +1,24 @@ #!/usr/bin/env python3 import sys -import argparse import json import matplotlib.pyplot as plt import numpy as np import freqtrade.optimize as optimize import freqtrade.misc as misc -import freqtrade.exchange as exchange -import freqtrade.analyze as analyze from freqtrade.strategy.strategy import Strategy -def plot_parse_args(args ): +def plot_parse_args(args): parser = misc.common_args_parser('Graph utility') # FIX: perhaps delete those backtesting options that are not feasible (shows up in -h) misc.backtesting_options(parser) parser.add_argument( '-p', '--pair', - help = 'Show profits for only this pairs. Pairs are comma-separated.', - dest = 'pair', - default = None + help='Show profits for only this pairs. Pairs are comma-separated.', + dest='pair', + default=None ) return parser.parse_args(args) @@ -48,7 +45,7 @@ def make_profit_array(data, px, filter_pairs=[]): # total profits at each timeframe # to accumulated profits pa = 0 - for x in range(0,len(pg)): + for x in range(0, len(pg)): p = pg[x] # Get current total percent pa += p # Add to the accumulated percent pg[x] = pa # write back to save memory @@ -104,7 +101,7 @@ def plot_profit(args) -> None: # if max_x != n: # raise Exception('Please rerun script. Input data has different lengths %s' # %('Different pair length: %s <=> %s' %(max_x, n))) - print('max_x: %s' %(max_x)) + print('max_x: %s' % (max_x)) # We are essentially saying: # array <- sum dataframes[*]['close'] / num_items dataframes @@ -114,7 +111,7 @@ def plot_profit(args) -> None: for pair, pair_data in dataframes.items(): close = pair_data['close'] maxprice = max(close) # Normalize price to [0,1] - print('Pair %s has length %s' %(pair, len(close))) + print('Pair %s has length %s' % (pair, len(close))) for x in range(0, len(close)): avgclose[x] += close[x] / maxprice # avgclose += close @@ -126,7 +123,7 @@ def plot_profit(args) -> None: filename = 'backtest-result.json' with open(filename) as file: - data = json.load(file) + data = json.load(file) pg = make_profit_array(data, max_x, filter_pairs) #