DBSCAN图 - 在plt.plot（）中传递的颜色值正在引发ValueError

我正在使用DBSCAN对数据集执行聚类。我认为这是因为在plt.plot（）中传递给markerfacecolor的颜色参数不是单个值。请让我知道如果我在这里错了。我的功能是纬度，经度，speed_mph，speedlimit_mph，vehicle_id，driver_id。DBSCAN图 - 在plt.plot（）中传递的颜色值正在引发ValueError

这里是我的集群代码

dbsc = DBSCAN(eps = .5, min_samples = 5).fit(df_cont) 

labels = dbsc.labels_ 
print(labels) 

num_clusters = len(set(labels)) 
clusters = pd.Series([df_cont[labels == n] for n in range(num_clusters)]) 
print('Number of clusters: {}'.format(num_clusters)) 
# No of clusters : 5687 

core_samples = np.zeros_like(labels, dtype = bool) 
core_samples[dbsc.core_sample_indices_] = True 

unique_labels = np.unique(labels) 

colors = plt.cm.Spectral(np.linspace(0,1, len(unique_labels))) 

for (label, color) in zip(unique_labels, colors): 
    class_member_mask = (labels == label) 
    xy = df_cont[class_member_mask & core_samples] 
    print("color:",color) 
    # color: [ 0.61960784 0.00392157 0.25882353 1.  ] 

    plt.plot(xy.values[:,0],xy.values[:,1], marker='o', markerfacecolor = color, markersize = 10) 

    xy2 = df_cont[class_member_mask & ~core_samples] 
    plt.plot(xy2.values[:,0],xy2.values[:,1], 'o', markerfacecolor = color, markersize = 5) 

plt.title("DBSCAN Driver - Speed MPH") 
plt.xlabel("driver") 
plt.ylabel("Speed") 
plt.show()

这里是

--------------------------------------------------------------------------- 
ValueError        Traceback (most recent call last) 
<ipython-input-105-0192647e6baf> in <module>() 
     3  xy = df_cont[class_member_mask & core_samples] 
     4  print("color:",color) 
----> 5  plt.plot(xy.values[:,0],xy.values[:,1], marker='o', markerfacecolor = color, markersize = 10) 
     6 
     7  xy2 = df_cont[class_member_mask & ~core_samples] 

/home/radiance/anaconda3/lib/python3.6/site-packages/matplotlib/pyplot.py in plot(*args, **kwargs) 
    3315      mplDeprecation) 
    3316  try: 
-> 3317   ret = ax.plot(*args, **kwargs) 
    3318  finally: 
    3319   ax._hold = washold 

/home/radiance/anaconda3/lib/python3.6/site-packages/matplotlib/__init__.py in inner(ax, *args, **kwargs) 
    1896      warnings.warn(msg % (label_namer, func.__name__), 
    1897         RuntimeWarning, stacklevel=2) 
-> 1898    return func(ax, *args, **kwargs) 
    1899   pre_doc = inner.__doc__ 
    1900   if pre_doc is None: 

/home/radiance/anaconda3/lib/python3.6/site-packages/matplotlib/axes/_axes.py in plot(self, *args, **kwargs) 
    1404   kwargs = cbook.normalize_kwargs(kwargs, _alias_map) 
    1405 
-> 1406   for line in self._get_lines(*args, **kwargs): 
    1407    self.add_line(line) 
    1408    lines.append(line) 

/home/radiance/anaconda3/lib/python3.6/site-packages/matplotlib/axes/_base.py in _grab_next_args(self, *args, **kwargs) 
    405     return 
    406    if len(remaining) <= 3: 
--> 407     for seg in self._plot_args(remaining, kwargs): 
    408      yield seg 
    409     return 

/home/radiance/anaconda3/lib/python3.6/site-packages/matplotlib/axes/_base.py in _plot_args(self, tup, kwargs) 
    393   ncx, ncy = x.shape[1], y.shape[1] 
    394   for j in xrange(max(ncx, ncy)): 
--> 395    seg = func(x[:, j % ncx], y[:, j % ncy], kw, kwargs) 
    396    ret.append(seg) 
    397   return ret 

/home/radiance/anaconda3/lib/python3.6/site-packages/matplotlib/axes/_base.py in _makeline(self, x, y, kw, kwargs) 
    300   default_dict = self._getdefaults(None, kw) 
    301   self._setdefaults(default_dict, kw) 
--> 302   seg = mlines.Line2D(x, y, **kw) 
    303   return seg 
    304 

/home/radiance/anaconda3/lib/python3.6/site-packages/matplotlib/lines.py in __init__(self, xdata, ydata, linewidth, linestyle, color, marker, markersize, markeredgewidth, markeredgecolor, markerfacecolor, markerfacecoloralt, fillstyle, antialiased, dash_capstyle, solid_capstyle, dash_joinstyle, solid_joinstyle, pickradius, drawstyle, markevery, **kwargs) 
    418   self._markerfacecoloralt = None 
    419 
--> 420   self.set_markerfacecolor(markerfacecolor) 
    421   self.set_markerfacecoloralt(markerfacecoloralt) 
    422   self.set_markeredgecolor(markeredgecolor) 

/home/radiance/anaconda3/lib/python3.6/site-packages/matplotlib/lines.py in set_markerfacecolor(self, fc) 
    1204   if fc is None: 
    1205    fc = 'auto' 
-> 1206   if self._markerfacecolor != fc: 
    1207    self.stale = True 
    1208   self._markerfacecolor = fc 

ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()

我也试图做集群以我的纬度，经度与其他功能抛出的错误消息。 DBSCAN抛出只有两个功能被允许的错误。我应该问这是一个单独的问题吗？

dbsc = DBSCAN(eps = .5, min_samples = 5, algorithm='ball_tree', metric='haversine').fit(np.radians(df_cont))

df_cont的内容是 -

{'Day': [1, 1, 1, 1, 1], 
'Month': [6, 6, 6, 6, 6], 
'Year': [2015, 2015, 2015, 2015, 2015], 
'driver_id': [5693, 5693, 916461, 1145487, 1145487], 
'latitude': [34.640141, 34.64373, 34.551254, 35.613663, 35.614525], 
'longitude': [-77.938721, 
    -77.9394, 
    -78.78463, 
    -78.470596, 
    -78.47466999999999], 
'speed_mph': [64, 64, 1, 62, 61], 
'speedlimit_mph': [70, 70, 55, 70, 70], 
'vehicle_id': [1208979, 1208979, 1262441, 1280223, 1280223]}

来源

2017-10-06 joel

我添加了几行'df_cont'。 – joel

不要*在群集中包含ID列。选择一个合适的距离函数。不要忘记预处理。一旦混合不同规模（坐标，速度）的属性，水果通常会变成垃圾。 –

@ Anony-Mousse我正在做异常值分析，找到最糟糕的和最好的驱动程序。目前，我正在对所有数据点进行聚类。每个driver_id都有许多不同的行，提供关于他不同行程的信息。我应该在独特的驱动程序上运行集群，以平均速度运行并放弃经纬度。我已经放弃了ID列。非常感谢 – joel

我用散点图固定的错误。 plt.scatter(xy.values[:,0],xy.values[:,1],s=10,c=color,marke‌r='o')

来源

2017-10-06 20:02:23 joel

DBSCAN图 - 在plt.plot（）中传递的颜色值正在引发ValueError

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