63 lines
2.0 KiB
Python
63 lines
2.0 KiB
Python
import numpy as np
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import pandas as pd
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import matplotlib as plt
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import matplotlib.colors as pltcolors
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import matplotlib.pyplot as plt
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#from mpl_toolkits.mplot3d import Axes3D
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from pyFTS.common import Membership, Util
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from pyFTS.partitioners import Grid,Huarng,FCM,Entropy
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all_methods = [Grid.GridPartitioner, Entropy.EntropyPartitioner, FCM.FCMPartitioner, Huarng.HuarngPartitioner]
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mfs = [Membership.trimf, Membership.gaussmf, Membership.trapmf]
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def plot_sets(data, sets, titles, tam=[12, 10], save=False, file=None):
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num = len(sets)
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#fig = plt.figure(figsize=tam)
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maxx = max(data)
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minx = min(data)
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#h = 1/num
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#print(h)
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fig, axes = plt.subplots(nrows=num, ncols=1,figsize=tam)
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for k in np.arange(0,num):
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#ax = fig.add_axes([0.05, 1-(k*h), 0.9, h*0.7]) # left, bottom, width, height
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ax = axes[k]
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ax.set_title(titles[k])
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ax.set_ylim([0, 1.1])
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ax.set_xlim([minx, maxx])
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for s in sets[k]:
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if s.mf == Membership.trimf:
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ax.plot(s.parameters,[0,1,0])
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elif s.mf == Membership.gaussmf:
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tmpx = [ kk for kk in np.arange(s.lower, s.upper)]
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tmpy = [s.membership(kk) for kk in np.arange(s.lower, s.upper)]
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ax.plot(tmpx, tmpy)
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elif s.mf == Membership.trapmf:
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ax.plot(s.parameters, [0, 1, 1, 0])
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plt.tight_layout()
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Util.showAndSaveImage(fig, file, save)
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def plot_partitioners(data, objs, tam=[12, 10], save=False, file=None):
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sets = [k.sets for k in objs]
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titles = [k.name for k in objs]
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plot_sets(data,sets,titles,tam,save,file)
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def explore_partitioners(data, npart, methods=None, mf=None, tam=[12, 10], save=False, file=None):
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if methods is None:
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methods = all_methods
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if mf is None:
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mf = mfs
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objs = []
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for p in methods:
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for m in mf:
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obj = p(data, npart,m)
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objs.append(obj)
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plot_partitioners(data, objs, tam, save, file) |