我尝试使用bokeh来建立热图。但是我一直收到相同的错误。我将在下面同时包含我的代码和错误，请帮帮我！
我认为错误主要是由于我的数据中的Nan，所以我在代码中添加了必要的if语句，以确保已解决此问题。甚至尝试在以下列表中用零填充任何可能的Na：“用户”，“模块”，“比率”，“颜色”和“字母”。但是这些更改都没有帮助。
colors = ['#ff0000','#ff1919','#ff4c4c','#ff7f7f','#99cc99','#7fbf7f','#4ca64c','#329932','#008000'] sorted_userlist = list(total_checks_sorted.index) user = [] module = [] ratio = [] color = [] alpha = []
for m_id in ol_module_ids:
pset = m_id.split('/')[-1]
col_name1 = m_id + '_ratio'
col_name2 = m_id + '_total'
min_checks = min(check_matrix[col_name2].values)
max_checks = max(check_matrix[col_name2].values)
for i, u in enumerate(sorted_userlist):
module.append(pset)
user.append(str(i+1))
ratio_value = check_matrix[col_name1][u]
ratio.append(ratio_value)
al= math.sqrt((check_matrix[col_name2][u]-min_checks+0.0001)/float(max_checks))
if ratio_value>0.16:
al = min(al*100,1)
alpha.append(al)
if np.isnan(ratio_value):
color.append(colors[0])
else:
color.append(colors[int(ratio_value*8)])
#fill NAs in source lists with zeroes pd.Series(ratio).fillna(0).tolist()
col_source = ColumnDataSource(data = dict(module = module, user = user, color=color, alpha=alpha, ratio = ratio))
#source = source.fillna('')
#TOOLS = "resize,hover,save,pan,box_zoom,wheel_zoom" TOOLS = "reset,hover,save,pan,box_zoom,wheel_zoom"
p=figure(title="Ratio of Correct Checks Each Student Each Online Homework Problem",
x_range=pset,
#y_range = list(reversed(sorted_userlist)),
y_range=list(reversed(list(map(str, range(1,475))))),
x_axis_location="above", plot_width=900, plot_height=4000,
toolbar_location="left", tools=TOOLS)
#axis_line_color = None)
#outline_line_color = None)#
p.rect("module", "user", 1, 1, source=col_source,
color="color", alpha = 'alpha', line_color=None)
show(p)
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-33-d2b769a58021> in <module>
69 #])
70
---> 71 show(p)
/Users/azizdridi/anaconda3/lib/python3.7/site-packages/bokeh/io/showing.py in show(obj, browser, new, notebook_handle, notebook_url)
140 return run_notebook_hook(state.notebook_type, 'app', obj, state, notebook_url)
141
--> 142 return _show_with_state(obj, state, browser, new, notebook_handle=notebook_handle)
143
144 #-----------------------------------------------------------------------------
/Users/azizdridi/anaconda3/lib/python3.7/site-packages/bokeh/io/showing.py in _show_with_state(obj, state, browser, new, notebook_handle)
174
175 if state.notebook:
--> 176 comms_handle = run_notebook_hook(state.notebook_type, 'doc', obj, state, notebook_handle)
177 shown = True
178
/Users/azizdridi/anaconda3/lib/python3.7/site-packages/bokeh/io/notebook.py in run_notebook_hook(notebook_type, action, *args, **kw)
299 if _HOOKS[notebook_type][action] is None:
300 raise RuntimeError("notebook hook for %r did not install %r action" % notebook_type, action)
--> 301 return _HOOKS[notebook_type][action](*args, **kw)
302
303 #-----------------------------------------------------------------------------
/Users/azizdridi/anaconda3/lib/python3.7/site-packages/bokeh/io/notebook.py in show_doc(obj, state, notebook_handle)
507 from ..embed.notebook import notebook_content
508 comms_target = make_id() if notebook_handle else None
--> 509 (script, div, cell_doc) = notebook_content(obj, comms_target)
510
511 publish_display_data({HTML_MIME_TYPE: div})
/Users/azizdridi/anaconda3/lib/python3.7/site-packages/bokeh/embed/notebook.py in notebook_content(model, notebook_comms_target, theme)
83 # has models with the same IDs as they were started with
84 with OutputDocumentFor([model], apply_theme=theme, always_new=True) as new_doc:
---> 85 (docs_json, [render_item]) = standalone_docs_json_and_render_items([model])
86
87 div = div_for_render_item(render_item)
/Users/azizdridi/anaconda3/lib/python3.7/site-packages/bokeh/embed/util.py in standalone_docs_json_and_render_items(models, suppress_callback_warning)
294 docs_json = {}
295 for doc, (docid, _) in docs.items():
--> 296 docs_json[docid] = doc.to_json()
297
298 render_items = []
/Users/azizdridi/anaconda3/lib/python3.7/site-packages/bokeh/document/document.py in to_json(self)
842 # this is a total hack to go via a string, needed because
843 # our BokehJSONEncoder goes straight to a string.
--> 844 doc_json = self.to_json_string()
845 return loads(doc_json)
846
/Users/azizdridi/anaconda3/lib/python3.7/site-packages/bokeh/document/document.py in to_json_string(self, indent)
871 }
872
--> 873 return serialize_json(json, indent=indent)
874
875 def validate(self):
/Users/azizdridi/anaconda3/lib/python3.7/site-packages/bokeh/core/json_encoder.py in serialize_json(obj, pretty, indent, **kwargs)
159 indent = 2
160
--> 161 return json.dumps(obj, cls=BokehJSONEncoder, allow_nan=False, indent=indent, separators=separators, sort_keys=True, **kwargs)
162
163
/Users/azizdridi/anaconda3/lib/python3.7/json/__init__.py in dumps(obj, skipkeys, ensure_ascii, check_circular, allow_nan, cls, indent, separators, default, sort_keys, **kw)
236 check_circular=check_circular, allow_nan=allow_nan, indent=indent,
237 separators=separators, default=default, sort_keys=sort_keys,
--> 238 **kw).encode(obj)
239
240
/Users/azizdridi/anaconda3/lib/python3.7/json/encoder.py in encode(self, o)
197 # exceptions aren't as detailed. The list call should be roughly
198 # equivalent to the PySequence_Fast that ''.join() would do.
--> 199 chunks = self.iterencode(o, _one_shot=True)
200 if not isinstance(chunks, (list, tuple)):
201 chunks = list(chunks)
/Users/azizdridi/anaconda3/lib/python3.7/json/encoder.py in iterencode(self, o, _one_shot)
255 self.key_separator, self.item_separator, self.sort_keys,
256 self.skipkeys, _one_shot)
--> 257 return _iterencode(o, 0)
258
259 def _make_iterencode(markers, _default, _encoder, _indent, _floatstr,
ValueError: Out of range float values are not JSON compliant
答案 0 :(得分：1)
NaN值不可JSON序列化（这是JSON标准的明显缺陷）。您提到ratio列表中有NaN个值，您将它们放在此处的ColumnDataSource中：
col_source = ColumnDataSource(data=dict(..., ratio=ratio))
由于它位于CDS中，因此Bokeh会尝试对其进行序列化，从而导致错误。您有两种选择：
如果由于某种原因（例如，驱动悬停工具或自定义映射器之类的东西）而实际上并不需要在绘图中使用数字ratio，则只需将其保留在数据源之外
如果确实需要发送ratio值，则必须将数据放入NumPy数组中。 Bokeh使用不同的非JSON方法序列化NumPy数组，因此可以成功发送NaN。