The mpld3
(matplotlib
on d3
) example for LinkedBrush
http://mpld3.github.io/examples/linked_brush.html provides the following code example:
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()
While the public web page shows the matrix of linked outputs, when running it locally there is a json
serialization error:
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
The local environment is
$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
and
$python -V
Python 2.7.14
The mpld3
was installed today. Is there an mpld3
versioning issue? Any other suggestions?
Based on a comment from @snakecharmerb I forked from mpld3
, entered the suggested fix, and pip installed from my new branch on github.
The fix is here: https://github.com/javadba/mpld3/tree/display_fix . It may be installed via:
python -m pip install --user "git+https://github.com/javadba/mpld3@display_fix"
It works well: the json serialization
error is gone and the linkage among the 9 charts functions properly:
For me, the solution given here did not work.
I had a networkx graph to visualize:
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()
Then it gave the "JSON not serializable" error. I found the above link, and tried the fix. The fix essentially says that if the object is of type numpy.ndarray
, then change it to list.
But the object type of G.nodes
is networkx.classes.reportviews.NodeView
, not numpy.ndarray
; thus it wasn't working.
So, I modified the file _display.py
to add import networkx
and added the following 2 lines in the default
function in class NumpyEncoder
to make it work:
elif isinstance(obj,networkx.classes.reportviews.NodeView):
return list(obj)
Now it works:
来源:https://stackoverflow.com/questions/47380865/json-serialization-error-using-matplotlib-mpld3-with-linkedbrush