使用 Bokeh 绘制条形图

Question

我正在尝试绘制基本条形图，但我一直看到名为 'StopIteration' 的错误。我在看一个例子，代码看起来不错：

amount = bugrlary_dict.values()
months = ["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"]

print len(amount)
print len(months)
bar = Bar(amount, months, filename="bar.html")

bar.title("Bar Chart of the Amount of Burglaries").xlabel("Months").ylabel("Amount")
bar.show()

Answer 1

UPDATE 这个答案已经过时，不适用于比 0.10

请参考recent documentation

您传递的输入无效。来自 doc:

(dict, OrderedDict, lists, arrays and DataFrames are valid inputs)

这是他们在那里的例子：

from collections import OrderedDict
from bokeh.charts import Bar, output_file, show

# (dict, OrderedDict, lists, arrays and DataFrames are valid inputs)
xyvalues = OrderedDict()
xyvalues['python']=[-2, 5]
xyvalues['pypy']=[12, 40]
xyvalues['jython']=[22, 30]

cat = ['1st', '2nd']

bar = Bar(xyvalues, cat, title="Stacked bars",
        xlabel="category", ylabel="language")

output_file("stacked_bar.html")
show(bar)

您的 amount 是 dict_values()，将不会被接受。我不确定您的 bugrlary_dict 是什么，但将其作为 Bar() 的 data，我假设您的 months 是标签。假设 len(bugrlary_dict) == 12

应该可以工作

散景示例的输出：

Answer 2

在Bokeh 0.12.5中，您可以通过以下方式进行：

from bokeh.charts import Bar, output_file, show

# best support is with data in a format that is table-like
data = {
    'sample': ['1st', '2nd', '1st', '2nd', '1st', '2nd'],
    'interpreter': ['python', 'python', 'pypy', 'pypy', 'jython', 'jython'],
    'timing': [-2, 5, 12, 40, 22, 30]
}

# x-axis labels pulled from the interpreter column, grouping labels from sample column
bar = Bar(data, values='timing', label='sample', group='interpreter',
      title="Python Interpreter Sampling - Grouped Bar chart",
      legend='top_left', plot_width=400, xlabel="Category", ylabel="Language")

output_file("grouped_bar.html")
show(bar)

输出：

如果您想要堆叠条形图，请将 Bar() 中的参数从 group 更改为 stack

使用 Bokeh 绘制条形图

Plotting Bar Charts with Bokeh

python

bokeh