diff --git a/analyze_wotb_replays.py b/analyze_wotb_replays.py index 3f7409a..287eee5 100755 --- a/analyze_wotb_replays.py +++ b/analyze_wotb_replays.py @@ -131,7 +131,7 @@ replay_details_flds = [ ## Syntax: key == stat field in https://api.wotblitz.eu/wotb/tanks/stats/ (all.KEY) ## Value array [ 'Stat Title', [ 0, data buckets ....], scaling_factor_for_bucket_values, 'print_format' ] histogram_fields = { - 'wins' : [ 'Win rate', [0, .35, .40, .45, .48, .5, .52, .55, .60, .65, .70, 1], 100, '{:2.0%}' ], + 'wins' : [ 'Win rate', [0, .35, .40, .45, .48, .5, .52, .55, .60, .65, .70, 1], 1, '{:2.0%}' ], 'damage_dealt' : [ 'Avg. Dmg.', [0, 200, 300, 400, 500, 600, 700, 800, 900, 1000, 1100, 1200, 1300, 1400, 1500, 1750, 2000, 2250, 2500, 2750, 3000, 100e3], 1, '{:3.0f}' ], 'battles' : [ 'Battles', [0, 1000, 2500, 5000, 7000, 10e3, 15e3, 25e3, 50e3, 5e7], .001, '{:.0f}k'] # battles is a mandatory stat to include } @@ -1197,7 +1197,7 @@ class BattleCategory(): class PlayerHistogram(): - def __init__(self, field: str, name: str, fields : list, factor: float, format: str ): + def __init__(self, field: str, name: str, fields : list, factor: float, cat_format: str ): self.field = field if self.field == 'wins': self.name = StatFunc.get_title() @@ -1205,7 +1205,7 @@ class PlayerHistogram(): self.name = name self.fields = fields self.cat_factor = factor - self.cat_format = format + self.cat_format = cat_format self.ncat = len(self.fields) - 1 self.allies = [0] * self.ncat self.enemies = [0] * self.ncat @@ -1294,7 +1294,7 @@ class PlayerHistogram(): print("\n{:12s} | {:13s} | {:13s} | {:13s}".format(self.name, "Allies", "Enemies", "TOTAL")) for cat in self.results: stat = self.results[cat] - print("{:12s} | {:5d} ({:4.1%}) | {:5d} ({:4.1%}) | {:5d} ({:4.1%})".format(cat, stat['allies'], stat['allies%']*100, stat['enemies'], stat['enemies%']*100, stat['total'], stat['total%']*100 )) + print("{:12s} | {:5d} ({:4.1%}) | {:5d} ({:4.1%}) | {:5d} ({:4.1%})".format(cat, stat['allies'], stat['allies%'], stat['enemies'], stat['enemies%'], stat['total'], stat['total%'] )) else: bu.error('Results have not been calculated yet.') except Exception as err: