def area_plot_table(table, **kwargs):
"""
Plot a tabular DataFrame with an index and multiple columns representing
categories using a Bokeh area chart.
In addition to the keyword parameters accepted by bokeh.charts.Area, this
function accepts the following additional keyword arguments:
number_of_categories: integer
The number of categories ranked by total value to use.
xaxis_formatter: TickFormatter
The formatter to use for x axis values.
yaxis_formatter: TickFormatter
The formatter to use for y axis values.
x_range: Range1d
A range to use for the X-axis.
y_range: Range1d
A range to use for the Y-axis.
"""
if kwargs.has_key('number_of_categories'):
acreage_table = analysis.select_top_n_columns(
table, kwargs['number_of_categories'])
else:
acreage_table = table
acre_plot = Area(
acreage_table.reset_index(),
x='year',
y=map(str, acreage_table.columns),
stack=True,
**_remove_custom_keys(kwargs)
)
if kwargs.has_key('x_range'):
acre_plot.xrange = kwargs['x_range']
else:
acre_plot.x_range = Range1d(acreage_table.index.min(), acreage_table.index.max())
if kwargs.has_key('y_range'):
acre_plot.y_range = kwargs['y_range']
else:
acre_plot.y_range = Range1d(0, acreage_table.max().sum())
if kwargs.has_key('xaxis_formatter'):
acre_plot._xaxis.formatter = kwargs['xaxis_formatter']
if kwargs.has_key('yaxis_formatter'):
acre_plot._yaxis.formatter = kwargs['yaxis_formatter']
return acre_plot
def area_plot_table(table, **kwargs):
"""
Plot a tabular DataFrame with an index and multiple columns representing
categories using a Bokeh area chart.
In addition to the keyword parameters accepted by bokeh.charts.Area, this
function accepts the following additional keyword arguments:
number_of_categories: integer
The number of categories ranked by total value to use.
xaxis_formatter: TickFormatter
The formatter to use for x axis values.
yaxis_formatter: TickFormatter
The formatter to use for y axis values.
x_range: Range1d
A range to use for the X-axis.
y_range: Range1d
A range to use for the Y-axis.
"""
if kwargs.has_key('number_of_categories'):
acreage_table = analysis.select_top_n_columns(
table, kwargs['number_of_categories'])
else:
acreage_table = table
acre_plot = Area(acreage_table.reset_index(),
x='year',
y=map(str, acreage_table.columns),
stack=True,
**_remove_custom_keys(kwargs))
if kwargs.has_key('x_range'):
acre_plot.xrange = kwargs['x_range']
else:
acre_plot.x_range = Range1d(acreage_table.index.min(),
acreage_table.index.max())
if kwargs.has_key('y_range'):
acre_plot.y_range = kwargs['y_range']
else:
acre_plot.y_range = Range1d(0, acreage_table.max().sum())
if kwargs.has_key('xaxis_formatter'):
acre_plot._xaxis.formatter = kwargs['xaxis_formatter']
if kwargs.has_key('yaxis_formatter'):
acre_plot._yaxis.formatter = kwargs['yaxis_formatter']
return acre_plot
#area chart
areadata = dict(
surprise=surpriseArray,
like=likeArray,
excite=exciteArray,
disappoint=disappointArray,
angry=angryArray,
hate=hateArray
)
area = Area(areadata, title="情感走势图", legend="top_left",
stack=True, xlabel='时间', ylabel='百分比', plot_width=730, plot_height=300, responsive=True, toolbar_location="below",
toolbar_sticky=False,tools = ["wheel_zoom","box_zoom","reset","save"])
area.toolbar.logo = None
area.x_range = Range1d(0, 152)
area.y_range = Range1d(0, 1)
#scatter chart
scatterhover = HoverTool(
tooltips="""
<div>
<div>
<span style="font-size: 15px;">极性 @polarity</span>
</div>
<div>
<span style="font-size: 15px;">浓度 @magnitude</span>
</div>
<div>
<span style="font-size: 12px;">@review</span>
</div>