使用matplotlib mpld3和LinkedBrush进行Json序列化错误

Question

mpld3的{​​{1}} matplotlib d3}示例 http://mpld3.github.io/examples/linked_brush.html提供了以下代码示例：

LinkedBrush

虽然公共网页显示了链接输出的矩阵，但在本地运行时会出现import numpy as np import matplotlib import matplotlib.pyplot as plt from sklearn.datasets import load_iris import mpld3 from mpld3 import plugins, utils data = load_iris() X = data.data y = data.target # dither the data for clearer plotting X += 0.1 * np.random.random(X.shape) fig, ax = plt.subplots(4, 4, sharex="col", sharey="row", figsize=(8, 8)) fig.subplots_adjust(left=0.05, right=0.95, bottom=0.05, top=0.95, hspace=0.1, wspace=0.1) for i in range(4): for j in range(4): points = ax[3 - i, j].scatter(X[:, j], X[:, i], c=y, s=40, alpha=0.6) # remove tick labels for axi in ax.flat: for axis in [axi.xaxis, axi.yaxis]: axis.set_major_formatter(plt.NullFormatter()) # Here we connect the linked brush plugin plugins.connect(fig, plugins.LinkedBrush(points)) mpld3.show() 序列化错误：

json

当地环境

Traceback (most recent call last):
  File "/git/scalatesting/src/main/python/mpld3_linkedbrush.py", line 34, in <module>
    mpld3.show()
  File "/usr/local/lib/python2.7/site-packages/mpld3/_display.py", line 358, in show
    html = fig_to_html(fig, **kwargs)
  File "/usr/local/lib/python2.7/site-packages/mpld3/_display.py", line 251, in fig_to_html
    figure_json=json.dumps(figure_json, cls=NumpyEncoder),
  File "/usr/local/Cellar/python/2.7.14/Frameworks/Python.framework/Versions/2.7/lib/python2.7/json/__init__.py", line 251, in dumps
    sort_keys=sort_keys, **kw).encode(obj)
  File "/usr/local/Cellar/python/2.7.14/Frameworks/Python.framework/Versions/2.7/lib/python2.7/json/encoder.py", line 207, in encode
    chunks = self.iterencode(o, _one_shot=True)
  File "/usr/local/Cellar/python/2.7.14/Frameworks/Python.framework/Versions/2.7/lib/python2.7/json/encoder.py", line 270, in iterencode
    return _iterencode(o, 0)
  File "/usr/local/lib/python2.7/site-packages/mpld3/_display.py", line 138, in default
    return json.JSONEncoder.default(self, obj)
  File "/usr/local/Cellar/python/2.7.14/Frameworks/Python.framework/Versions/2.7/lib/python2.7/json/encoder.py", line 184, in default
    raise TypeError(repr(o) + " is not JSON serializable")
TypeError: array([ 1.]) is not JSON serializable

和

$pip show mpld3
Name: mpld3
Version: 0.3
Summary: D3 Viewer for Matplotlib
Home-page: http://mpld3.github.com
Author: Jake VanderPlas
Author-email: jakevdp@cs.washington.edu
License: BSD 3-clause
Location: /usr/local/lib/python2.7/site-packages

今天安装了$python -V Python 2.7.14 。是否存在mpld3版本问题？还有其他建议吗？

Answer 1

根据来自mpld3的@snakecharmerb的评论，输入建议的修复，并从github上的新分支安装pip。

此修复程序位于：https://github.com/javadba/mpld3/tree/display_fix。它可以通过以下方式安装：

python -m pip install --user "git+https://github.com/javadba/mpld3@display_fix"

效果很好：json serialization错误消失，9个图表之间的联系正常运行：

Answer 2

对我来说，给定here的解决方案不起作用。

我有一个networkx图形可以可视化：

import matplotlib.pyplot as plt
import numpy as np
import mpld3

import networkx as nx
G = nx.path_graph(4)
pos = nx.spring_layout(G)

fig, ax = plt.subplots(subplot_kw=dict(facecolor='#EEEEEE'))
scatter = nx.draw_networkx_nodes(G, pos, ax=ax)
nx.draw_networkx_edges(G, pos, ax=ax)

labels = G.nodes()
tooltip = mpld3.plugins.PointLabelTooltip(scatter, labels=labels)
mpld3.plugins.connect(fig, tooltip)

mpld3.show()

然后，它给出了“ JSON无法序列化”错误。我找到了上面的链接，并尝试修复。该修补程序实质上表明，如果对象的类型为numpy.ndarray，则将其更改为list。

但是G.nodes的对象类型是networkx.classes.reportviews.NodeView，而不是numpy.ndarray；因此它不起作用。

因此，我修改了文件_display.py以添加import networkx，并在类default的{​​{1}}函数中添加了以下两行以使其起作用：

NumpyEncoder

现在可以使用了