python - 这些networkx错误表示在 Pandas 数据帧上设置过滤器后得到什么？

Question

我有一个称为Gr_Team的源，目标和权重数据框，看起来像这样(示例)-

Passer Receiver  count
116643   102747     27
102826   169102     10
116643   102826      7
167449   102826      8
102747   167449      4

每个通过者和接收者都有自己独特的x，y坐标，我在字典中有 loc- {'102739': [32.733999999999995, 26.534], '102747': [81.25847826086964, 27.686739130434784], '102826': [68.09609195402302, 77.52206896551728]}我使用networkx进行了绘制:

G=nx.from_pandas_edgelist(Gr_Team, 'Passer', 'Receiver', create_using=nx.DiGraph())

nx.draw(G, loc, with_labels=False, node_color='red',
            node_size=Gr_Team['count']*100,
            width=Gr_Team['count'],
            edge_color = Gr_Team["count"],
            edge_cmap = cmap,
            arrowstyle='->',
            arrowsize=10,
            vmin=vmin,
            vmax=vmax,
            font_size=10,
            font_weight="bold",
            connectionstyle='arc3, rad=0.1')

这没有任何问题，这就是我得到的:


但是，一旦我尝试过滤出计数值低于一个常量的所有行，就说3，使用此 Gr_Team = Gr_Team[Gr_Team["count"]>3]，我得到一个关键错误，这是整个错误和回溯，我无法做出任何贡献:

Warning (from warnings module):
  File "C:\Users\ADMIN\AppData\Local\Programs\Python\Python37\lib\site-packages\networkx\drawing\nx_pylab.py", line 676
    if cb.iterable(node_size):  # many node sizes
MatplotlibDeprecationWarning: 
The iterable function was deprecated in Matplotlib 3.1 and will be removed in 3.3. Use np.iterable instead.
Traceback (most recent call last):
  File "C:\Users\ADMIN\AppData\Local\Programs\Python\Python37\PassMapOptaF24Networkx.py", line 148, in <module>
    font_weight="bold")#,
  File "C:\Users\ADMIN\AppData\Local\Programs\Python\Python37\lib\site-packages\networkx\drawing\nx_pylab.py", line 128, in draw
    draw_networkx(G, pos=pos, ax=ax, **kwds)
  File "C:\Users\ADMIN\AppData\Local\Programs\Python\Python37\lib\site-packages\networkx\drawing\nx_pylab.py", line 280, in draw_networkx
    edge_collection = draw_networkx_edges(G, pos, arrows=arrows, **kwds)
  File "C:\Users\ADMIN\AppData\Local\Programs\Python\Python37\lib\site-packages\networkx\drawing\nx_pylab.py", line 684, in draw_networkx_edges
    arrow_color = edge_cmap(color_normal(edge_color[i]))
  File "C:\Users\ADMIN\AppData\Local\Programs\Python\Python37\lib\site-packages\pandas\core\series.py", line 868, in __getitem__
    result = self.index.get_value(self, key)
  File "C:\Users\ADMIN\AppData\Local\Programs\Python\Python37\lib\site-packages\pandas\core\indexes\base.py", line 4375, in get_value
    tz=getattr(series.dtype, 'tz', None))
  File "pandas\_libs\index.pyx", line 81, in pandas._libs.index.IndexEngine.get_value
  File "pandas\_libs\index.pyx", line 89, in pandas._libs.index.IndexEngine.get_value
  File "pandas\_libs\index.pyx", line 132, in pandas._libs.index.IndexEngine.get_loc
  File "pandas\_libs\hashtable_class_helper.pxi", line 987, in pandas._libs.hashtable.Int64HashTable.get_item
  File "pandas\_libs\hashtable_class_helper.pxi", line 993, in pandas._libs.hashtable.Int64HashTable.get_item
KeyError: 1

我意识到仅执行 nx.draw(G, loc, with_labels=False, node_color='red')仍然有效，但是一旦我尝试传递 node_size或 edge_color，就会遇到上述错误。根据我的理解，仅当我在关键字参数中使用数据框 Gr_Team时才出现错误。

我不知道为什么会这样，为什么过滤会破坏代码。任何帮助，将不胜感激。

编辑1 : Here是整个代码的要旨。我尽力使它最小化。 Here是指向csv文件的链接，该文件需要以df格式读取。产生错误的行也在那里。发表评论。

Answer 1

这些错误行提供了很好的提示:

File "pandas_libs\index.pyx", line 132, in pandas._libs.index.IndexEngine.get_loc

KeyError: 1

问题似乎在于，将 Gr_Team-数据帧传递给指定的 node_size， width和 edge_color要求索引是连续的。使用

Gr_Team = Gr_Team[Gr_Team["count"] > 3 ].reset_index()

应该解决问题。