Merge pull request #803 from Axelrod-Python/ml_strategies

ML strategies

Author: meatballs

MANIFEST.in

@@ -1,2 +1,3 @@
 include *.txt
 recursive-include docs *.rst
+recursive-include axelrod/data *.csv

axelrod/__init__.py

@@ -5,20 +5,23 @@
 
 # The order of imports matters!
 from .version import __version__
+from .load_data_ import load_lookerup_tables, load_pso_tables, load_weights
 from . import graph
 from .actions import Actions, flip_action
 from .random_ import random_choice, seed
 from .plot import Plot
 from .game import DefaultGame, Game
-from .player import get_state_distribution_from_history, init_args, is_basic, \
-    obey_axelrod, update_history, update_state_distribution, Player
+from .player import (
+    get_state_distribution_from_history, init_args, is_basic, obey_axelrod,
+    update_history, update_state_distribution, Player)
 from .mock_player import MockPlayer, simulate_play
 from .match import Match
 from .moran import MoranProcess, MoranProcessGraph
 from .strategies import *
 from .deterministic_cache import DeterministicCache
 from .match_generator import *
-from .tournament import Tournament, ProbEndTournament, SpatialTournament, ProbEndSpatialTournament
+from .tournament import (
+    Tournament, ProbEndTournament, SpatialTournament, ProbEndSpatialTournament)
 from .result_set import ResultSet, ResultSetFromFile
 from .ecosystem import Ecosystem
 from .fingerprint import AshlockFingerprint

axelrod/data/ann_weights.csv

@@ -0,0 +1,5 @@
+# name, features, hidden_layer_size, weights...
+Evolved ANN, 17, 10, -0.003576751877069098, -0.009116435789084176, -1.6226750298069816, -0.16936583840464212, -0.24767811424335412, 2.917597689195209, -0.4660835078234858, 2.6077233900451704, 0.007654525451496821, 0.24926329904868214, 0.21300509813065255, -0.0008610492369117186, 11.910547784868735, 2.450594158758787, 0.438355335722304, 0.006477151246808702, 0.5741536766363411, 0.02462418508554424, -0.0012988442322510215, 0.0007818404074661314, -0.002036906591412471, 0.016377924735041065, 0.04992731920552376, 0.0012509393723994738, 0.6973411226261182, 0.0006254912910491841, 0.00047099174257766177, -0.002120731786945985, 1.1254335327814609, -10.370786178893706, -0.00012469149030800645, 0.14436761320287467, 0.05611140973019576, -0.0016366743010876627, 0.00017168216291285577, -0.03946773816864551, -0.027087785966378175, -0.0007127387952544514, -0.004271912479467591, 0.5150421588241055, -0.22941179431864933, -0.0095554420516546, 0.11309512942058234, 0.02928026671350157, -0.004271549294336798, -0.0003315179614494489, 2.211285732697422, -0.11740200028568301, 0.0009962379719110528, -0.01111880489200713, 0.38552547023537326, 0.6318823670906345, -0.0004549864001234058, -2.556634055201679e-05, 0.052307029094913166, 0.8482608143343549, -0.7883518269801311, 0.032301738665859676, -0.0014778900364928135, -0.34455529892325604, 0.008125911048136848, 0.014152066117414049, -0.0019236013490204697, -0.003920029943239384, 0.029085767655998903, -0.0008784550881728423, 0.3435901596510554, 0.24771915413070683, 0.002312235900247917, -0.0003165849275334269, 0.0005596038341596242, -0.0024919150553704052, 0.05815458270598197, -0.1937018502492227, -1.8250738932528443, 4.157186180134131e-05, 2.943061662102853, 0.010778535125806234, -0.032512597224797754, -0.0003246595897432385, -0.0002458206802779675, 0.1541076435270061, 0.0037925444350366067, -0.6188869890845022, -0.22716430588908995, -0.01181908469964059, 1.5038480327390307, -0.14416872049137233, 0.0005042076266357683, -0.017810077795893765, 0.03526366076440114, 0.011060422025572895, -0.021332183741068406, 0.002780275496938823, -0.026230933918782513, -0.0008086310525332234, 0.17064687599674258, 0.2726954877308398, 0.06579094358724917, -0.1520859776087798, -0.003111942863901281, -0.0006907666533775145, 0.3541898175141693, 0.0009279324771965426, -1.02678577891704, 0.14334521747927695, -0.004071610961189254, -0.001207893735478954, -0.011071821668055959, 0.000339516787811465, -0.012354976869052762, -0.017792122689835564, 0.04000839684019883, 0.0007450282331100439, 1.7663136890716324, -2.8277851231760667, -0.013925796175438333, -0.7759116432724652, 0.9526400227212101, 1.3224921501299892e-05, -0.0472823771149402, -0.32139561926038845, -0.16281957543641462, -0.4544552413988827, 8.104457695593522e-07, 0.0012604615893040117, -0.2708836008719851, -0.015954274981653523, -0.18085568354803125, 9.719261607120993e-05, 0.008911006689136518, 0.6283406438091257, -0.020845703085579134, -8.2991081457223e-06, 0.1680487638909446, 0.12338311971516569, 0.6374359553174332, 0.0068708780599514305, 7.161994834226168, 0.037717458897906064, -0.08166498393224347, -0.0003866864661065885, -0.035928030476597095, -0.5306343046712498, -0.03731815115135128, 0.1601186601162489, 0.061793412985435066, -0.008245437643649127, -0.1329836372733803, -1.0593300674284343e-05, 0.006000911165890601, -0.024349113092127842, -0.038064952345485834, -0.6717215031589087, -0.25600136304175464, -0.00013788514988313308, 0.10903737627345898, -0.04109950353425148, 0.0011818144689657514, 0.4612177668674218, 0.017157983078021726, -0.0002922370212791781, -0.07461385101326228, -0.03691138985965549, 0.0002672500155187832, -0.4629422134737055, -0.03204962494694291, -0.0398035296303568, -0.0019614192106946335, 0.07062072632793034, -0.3807648841924845, -0.4077410732754568, 0.6351755873193442, -0.0012896440044397849, 5.964694012083687, 0.02153817770055385, 1.4528610065395318, 0.015807271234472182, 0.061063626330635286, 0.0022982937511943397, 0.00036535725718584393, -1.2067515566616847, 0.7988787224726943, 0.0003472294024470962, 1.7209686798616755, -0.11950387113947813, 4.59513750232414, 0.020556451924523336, 0.004404012690064921, 0.4359433744065976
+Evolved ANN 5, 17, 5, 8.375423053834833, 0.1261030984458249, 0.6229687391287315, 1.0555619366240612, -1.9827656871308919, -0.30176066062316664, 6.1600656056537675, -0.32706569135615116, 0.17754613107044848, -5.1210074171192765, 0.8979654555091046, -5.775137721839209, 0.7370167100617766, -0.40766774847049836, -0.6871675824007146, -0.8851561068477862, -0.9380236569734701, -0.1061808689087742, -28.80056165348774, 0.34099380260727474, -0.9296496325235885, -0.29951155013186037, 0.29452753742059645, -2.647358318342513, 2.8665522715028073, -15.53334649858335, 0.7458724656392226, -0.46189164035783054, -45.86292727785617, -0.497764265530173, -2.7548363861243095, -0.05026908852575242, -2.347984197105825, -0.7036132052075461, -0.2849544137414548, 0.44648317127627624, -1.8113293861070814, 0.6606796392423389, 0.4306779425473901, 29.255936983349343, 0.6292845850187647, 5.06082751852397, -217.23797221991887, 7.01016283354761, 8.272946939494153, -0.002750158149020354, -4.936706563050966, -0.00040809727294092074, 3.293211441510604, -0.6859683357257031, -5.651191144070032, 3.6461265120866924, 7.356445034460227, -0.22995023247988478, 2.3442255604221587, 0.39246521035761583, -0.2968903517444873, -0.9616537001818733, -1.6956961159311899, 2.3905634050127715, -4.77893872195609, 0.9288780448229095, 3.5762554351730933, 0.5350328980460679, -1.5702444440191612, 0.4752602404076749, -3.9372948763422646, -0.528493807036809, 1.1247837165608066, -0.9593501671395235, -0.5303714820063201, 5.906832815840155, 0.572385895065991, 0.3226387472904857, 0.9290757921455962, 24.31294609099736, -1.0011403399292698, 6.745168904740927, -3.90212207698002, -0.8800864567120545, -0.7341660866134236, -192.0075807720621, -0.49958332808652584, -0.8512291478997993, -1.706530475715973, 1.9988262858968837, -4.665904353363123, 0.5053151191945213, 0.7049630921679941, -9.96377368732609, 0.8824473820630665, 0.23343212093733712, 0.2142209846364116, -0.9862047147870845, -0.17219465582984883
+Evolved ANN 5 Noise 05, 17, 10, 29.021994753071542, 219.61101763155014, 1063.1637806214826, 1.5402562950828715, -77.95303186313585, 267.89223675325087, -49.5387828788577, -2.6011267194406376, 7.9674134543620765, 0.36744774780513845, 5.705857800529822, 74.5118260372338, 3.7815106388865365, 21.61749723216825, 2.615374769007371, -4.956048693418373, 16.265812089010854, -0.5971830913092495, 2.713007610795036, -15.988422780527246, 41.18700942536512, -211.6875277650788, -31.37916591033693, -3.18731153755138, 18.832459315193752, 2.182876315654387, 41.05501370495859, 21.037499124712344, -57.26580763667314, -20.73478679472237, 740.6044026693244, -646.6449426951316, 0.44262545614783516, 494.2330468894694, 30.556660213698716, 343.9523623015607, 6.258536671356227, 1.0331025110993781, 62.81670440214398, 2.050717650327349, -55.29911348831866, 0.12013585846685129, -3.525491825550343, 0.8521619825666777, 3.4021706792885125, 65.68959431318048, 59.034749752903124, 1.3960644749995557, 2.123080169102119, 2.0050790443493076, 18.01173172947066, -1.9594306080033703, 3.7143617968441305, 22.876875520928664, 127.1242771884875, 0.0814516747526633, 0.4188117166094544, -22.619347347805416, -1.350231296139859, 4.609695056493578, 14.813685333260361, 1.8151813422230947, -0.6152760521682589, 56.3968593809663, 0.5291526645626778, 45.623429663362224, 1.4083765751129795, -1.7979107689200213, -133.3907099906686, 332.9190743029093, -16.69584638750235, 0.7547746912890307, -0.16129548581544273, 32.07685387989524, -4.777007155188058, -584.0074143353936, -14.203844806356123, -0.7125043485338549, -0.2532414942567335, 0.2424235301321644, -2.7332162070444226, -11.048512432203255, -0.5750784745602715, -6.583495964988355, 0.8021313004801964, -4.136750110674422, 3.422252093595686, 0.5684967669851626, 4.9238081210747495, 14.503412467481546, 54.52845388844175, 0.7444572732509133, -191.72509441846645, 0.5480848987938383, 42.27959932760183, 48.881469586945215, 148.71234309798186, 6.259832845972374, -12.448568209113635, 0.4971964655854716, -3.9250934452151536, -5.509873014504808, -5.003451989805698, -14.764803995567945, 1.144289717030508, 11.1813993197904, -799.551976894276, -2.305546912955449, 1.623001769439963, 0.5380907491532528, 18.55850746229286, 7.3791435483587025, -1.3058220461101604, 8.538692132116461, -23.492426814231088, -0.1708304730775915, -40.11536974172577, -0.6325828249226341, 4.789534096125168, 1659.0961224963328, -7.709921822391348, 63.8942026144617, -74.3383220727353, 181.95602166741998, 1.9335192305687423, -2.2129663303887166, 37.381636630086135, -7.92393426028687, -5.3688053802259885, -7.58836742659798, 37.30667400514841, -289.09892489977165, -1.5147645904541234, 4.638068109618868, -404.80728791680815, 0.11727199345822248, -5.17258526833061, -0.88453949499092, 96.84857624186293, -0.6791965529867956, 3.1287918300191686, -16.961433290851506, 1.5339548611779197, -14.60241354508969, -102.09154806457092, 5.308359098845199, -1.3772386624093653, -232.4068932110028, -3.8957064753975845, -10.860809364864776, -72.69782329332983, -7.643980828800534, 29.900464193825652, 22.47046574607309, -38.204496819495844, -68.60271311500388, 0.2709521700788272, 99.82801908436845, -1.7001896396141027, -10.954337249511207, 48.09909863189684, -636.7156136663931, -45.30678925814974, 39.42329107604124, -33.87400944809508, -0.888696202396916, -8.30775287285587, 7.665066358799107, 8.77078230492006, -3.063228922635141, 5.418347424137075, -2.971743552900797, -0.6578858172171116, 0.05427922276379916, 1.9754929185067431, 186.95414732845305, 2.1375699883739276, 0.6836442570880665, -0.49780743275065514, 77.77706670862442, -3.2403854872213094, -3.3470142285219864, -53.72381101228183, -9.92185859389291, -2.275977293585001, 91.88617110386592, -18.507806840374368, 1.5759533799870984, -0.6476960553307466, 3.897754577067307
+

axelrod/data/lookup_tables.csv

@@ -0,0 +1,19 @@
+# Name (string), plays (int), opp_plays(int), starting_plays(int), pattern (str)
+, 0, 0, 1, C, CD
+, 0, 0, 2, CC, CDCD
+, 0, 0, 3, CCC, CDDDCDDD
+, 1, 1, 0, C, CDDD
+, 1, 1, 1, C, CDDDDDCD
+, 1, 1, 2, CC, CDDDDDDDDCCDCDDD
+, 1, 1, 3, CCC, CDDDDDDDDDDDCDDDDCCDCDDDDCDDDDDD
+, 1, 1, 4, CCCC, CDCCDDDDCDDDDDCCDCDCDDDDDCDDDDDDDCCDCDCDDDDDCDDDDCDDDDDDCDDDCDDD
+, 2, 2, 0, CC, CDDDCDCDDCDDDDDD
+, 2, 2, 1, C, CDCCCCDDDCCCDDDCCCDDCDCDDCCCDDDD
+, 2, 2, 2, CC, CDCCDCCCDCDDDCCCDCDDDDDDDCDDDCDCDDDDCCDCCCCDDDDCCDDDDCCDCDDDDDDD
+, 2, 2, 3, CCC, CDCCDCCCDCDCDDDCCDCCCDCCDDDCDDDDDDCCCDDCDCDCDDDCCDCDCCDDCCCCDDDCDDCDCCDDCCDDDDDDCDDDDDCDCDDDDDDDDCDCDCDCCDDDDDDDCCCDCDDDDCDDDDDD
+, 2, 2, 4, CCCC, CDCCDCCCDCDCDDDCCDCCDDCDDCDCDDDCDCCCCDCCDCDCDDDCCCCDCDDDCDCCCDDCDDDCCDCDDCCCDDDCDDDDCDDDDCDCDDDCDDCCCCDDCCCCDCDCCDCDDDCDDCCCDCDCDCCDCCCDCCCCDDDDCDCCDCCDCDDDDDDDDDDCDCCCDDCDDDDDCDCDCCDDDCCDDDDDDDCDDDDDDCCDDDDDCCDDDCCCCCDDDDDDCDCDCDDCDCDDDDDCCCDDCDDDDDCDDDDD
+, 3, 3, 1, CCC, CDDDCDCCCCCCDDDDDDCDDCDCDDDCCDDCDDCCDCCCDDDDCCDDDDCCDDCCDDDDDDDCCDCDDDDDCCDDCDDDDCCDCDCCCCCDCDDDDDCCCDCCCCCDDDCDDDDDDCDCDDDDDDDD
+, 3, 3, 2, CCC, CDCCCCCCCDCCCDCCDDDDDCDCDDDDCDDCDDCCCCCCDDDDCCCDDDDDDDDCDDDDDDDCCDDDCDCCCCCCCDDDDDCCCCDCDCDCCCDCDCCDDDCCCDDCDDCCDCCCCCDCDDDDDDDDDDDDDDDCDCCDCCCDCCDDDDDDCCDDDCCDCDDCDCDDCCDDDDCDCDDCDCDDDDDDDDDDCDDDCCDDDCCCDCDDDDCDDCCDCCCDCCDDDCDDCCCCDCDCDCDDDDDCCDDCDDDDDDDD
+, 3, 3, 3, CCC, 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
+, 4, 4, 1, CCCC, 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
+, 4, 4, 2, CCCC, CDDDCCCCCDCCCCCCDDDCDCCDCDCCCCDCDDCDCDDCDCCCDDDCDDCCDCDCDDCCDDDCDDCCCDCCCCDDCCCCDDCCCDDCCDCCDDDDCDCCDCDCCDCCDDCDDDDDDCDDDDDCCDCCCCDCCCDCCDCDCCCCCDDCCDDDCCDCCCDDCDCDDCDCDCDDCDDCCCCDCCDDDDDCCDCDDDDCDCDCDDDDDCCCDCDDCDCDDCCDDCCDDCCDCDDCDDDCDCCCDDDCDDDDDDDDDDDCCCDDDDCDCCDDDDDCCDCDCCDCCDDDCCCDDDCDDCDDCCCDCCDCDCDDCDDDCDDDDDDCDDDCDDCCCDDDCCCCDDCDCDCDCCDDCCCDDCDCCDCCDCDCDDCCCDDCDDCCCCDCDDDCCDDDCCDDDCDDCDDDCDDDDDDCCCCCCDCDCCDDCCDDDDCDCCDCCCDCDCCDDCCDCDDDDCDDCCCCCCDDDDCCCCDCCDCCCDCDCCCCDDDCCCCCDDCDDCCCDDDDDDDDDDDDDDDDCCDDDDCDDCCDDDDDCDDDDCDDDCDCDDDDDCCCCCDCDDCDCCCDCCDDDCDDDCDCDDCDDDCDCDDDCCDDDCCDCCCCCCDCCDCDCCDCCDCDCCCDDCDCCCDDCCCCDDDDCCDCDCCDCCCDCCDCCDCCDDCCCDCCDDDDCDDCCCDDCCDDCCDCDDCCCDCDDDDCDCDCDDCDCDDDCCDDCDCCCDCDCCDDDCDCDCDCCDCDDCCCCDCDCCDDDCDCDDDDDDDDDDDDDDDDDDDDCDDDCDCDCCCDCDCDCDCCDDDDDCDDCCCDDDDCDDDDDDDCDDDCCCDCCCCDCCDDDDDDDDDCDDDCDDDDCDCDCCCDDDDCCCDCDCCCDCCCDCDDDCCDDDCDDDDCCCCDCCDCDDDDCCCCDDCDDCDDDCDCDDCDDCDCCDCCDCCDCDCDCCDCCDCCDCCCDDDDDCCDDDDDDCDCCCCCDDCDCCDCDDDDDCDDDDDDCDDDDDDDCDCDDDDDCCDDCCCCDDDDDDDDDDDDDDDD

axelrod/data/pso_gambler.csv

@@ -0,0 +1,6 @@
+# Name (string), plays (int), opp_plays(int), starting_plays(int), weights (floats)
+PSO Gambler Mem1, 1, 1, 0, 1.0, 0.52173487, 0.0, 0.12050939
+PSO Gambler 1_1_1, 1, 1, 1, 1.0, 0.12304797, 0.0, 0.13581423, 1.0, 0.57740178, 0.0, 0.11886807
+# , 2, 2, 2, 1.0, 0.0, 1.0, 1.0, 0.0, 1.0, 1.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.93, 0.0, 1.0, 0.67, 0.42, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.48, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 1.0, 0.0, 0.19, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.36, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0
+PSO Gambler 2_2_2, 2, 2, 2, 1.0, 1.0, 0.0, 0.02126434, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.95280465, 0.80897541, 0.0, 0.0, 0.0, 0.0, 0.65147565, 0.15412392, 0.24922166, 0.0, 0.0, 0.0, 0.0, 0.0, 0.24523149, 1.0, 0.0, 0.0, 0.43278586, 1.0, 0.0, 0.23563137, 1.0, 1.0, 1.0, 0.00227615, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.15140743, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.77344942, 0.0
+PSO Gambler 2_2_2 Noise 05, 2, 2, 2, 1.0, 0.0, 1.0, 0.63548102, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.13863175, 1.0, 0.7724137, 0.0, 1.0, 0.0, 0.07127653, 0.0, 1.0, 0.28124022, 0.0, 0.0, 0.98603825, 0.0, 0.0, 1.0, 0.06434619, 1.0, 1.0, 1.0, 0.50999729, 0.00524508, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0, 1.0, 0.16240799, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 1.0, 0.87463905, 0.0, 0.0, 1.0, 0.0, 0.0

axelrod/load_data_.py

@@ -0,0 +1,47 @@
+import pkg_resources
+
+
+def load_file(filename, directory):
+    """Loads a data file stored in the Axelrod library's data subdirectory,
+    likely for parameters for a strategy."""
+    path = '/'.join((directory, filename))
+    data = pkg_resources.resource_string(__name__, path)
+    data = data.decode('UTF-8', 'replace')
+    rows = []
+    for line in data.split('\n'):
+        if line.startswith('#') or len(line) == 0:
+            continue
+        s = line.split(', ')
+        rows.append(s)
+    return rows
+
+def load_weights(filename="ann_weights.csv", directory="data"):
+    """Load Neural Network Weights."""
+    rows = load_file(filename, directory)
+    d = dict()
+    for row in rows:
+        name = str(row[0])
+        num_features = int(row[1])
+        num_hidden = int(row[2])
+        weights = list(map(float, row[3:]))
+        d[name] = (num_features, num_hidden, weights)
+    return d
+
+def load_lookerup_tables(filename="lookup_tables.csv", directory="data"):
+    """Load lookup tables."""
+    rows = load_file(filename, directory)
+    d = dict()
+    for row in rows:
+        name, a, b, c, initial, pattern = row
+        d[(name, int(a), int(b), int(c))] = (initial, pattern)
+    return d
+
+def load_pso_tables(filename="pso_gambler.csv", directory="data"):
+    """Load lookup tables."""
+    rows = load_file(filename, directory)
+    d = dict()
+    for row in rows:
+        name, a, b, c, = str(row[0]), int(row[1]), int(row[2]), int(row[3])
+        values = list(map(float, row[4:]))
+        d[(name, int(a), int(b), int(c))] = values
+    return d

axelrod/moran.py

@@ -41,7 +41,7 @@ def __init__(self, players, turns=100, noise=0, deterministic_cache=None,
 
         If the mutation_rate is 0, the population will eventually fixate on
         exactly one player type. In this case a StopIteration exception is
-        raised and the play stops. If mutation_rate is not zero, then the
+        raised and the play stops. If the mutation_rate is not zero, then the
         process will iterate indefinitely, so mp.play() will never exit, and
         you should use the class as an iterator instead.
 
@@ -89,8 +89,8 @@ def __init__(self, players, turns=100, noise=0, deterministic_cache=None,
         # Build the set of mutation targets
         # Determine the number of unique types (players)
         keys = set([str(p) for p in players])
-        # Create a dictionary mapping each type to a set of representatives of
-        # the other types
+        # Create a dictionary mapping each type to a set of representatives
+        # of the other types
         d = dict()
         for p in players:
             d[str(p)] = p

axelrod/plot.py

@@ -279,6 +279,7 @@ def save_all_plots(self, prefix="axelrod", title_prefix="axelrod",
             f = getattr(self, method)(title="{} - {}".format(title_prefix,
                                                              name))
             f.savefig("{}_{}.{}".format(prefix, method, filetype))
+            plt.close(f)
 
             if progress_bar:
                 pbar.update()