使用Holoviews,如何设置标题?

时间:2018-11-13 20:02:56

标签: python bokeh holoviews

我一直在尝试使用Holoviews和Bokeh设置标题。我正在彼此叠加3个地块。代码如下:

%%opts Curve [width=900 height=400  show_grid=True tools=['hover'] finalize_hooks=[apply_formatter]]
%%opts Curve (color=Cycle('Category20'))
%%opts Overlay [ legend_position='bottom' ] Curve (muted_alpha=0.5 muted_color='black' )

actual_curve = hv.Curve(df_reg_test, 'date', 'y', label='Actual')
existing_curve = hv.Curve(df_reg_test, 'date', 'Forecast Calls', label='Existing Forecast')
xgb_curve = hv.Curve(df_reg_test, 'date', 'xgb_pred', label='New Forecast')

actual_curve * existing_curve * xgb_curve

情节看起来像这样: Holoview Plot

如您所见,单个曲线的标签在图例中显示得很好,但是在图的顶部我没有标题。

如何手动设置标题?

2 个答案:

答案 0 :(得分:1)

我发现可以在叠加选项中添加title_format =“ my new title”选项:

%%opts Curve [width=900 height=400  show_grid=True tools=['hover'] finalize_hooks=[apply_formatter]]
%%opts Curve (color=Cycle('Category20'))
%%opts Overlay [ legend_position='bottom' title_format="my new title"] Curve (muted_alpha=0.5 muted_color='black' )

actual_curve = hv.Curve(df_reg_test, 'date', 'y', label='Actual')
existing_curve = hv.Curve(df_reg_test, 'date', 'Forecast Calls', label='Existing Forecast')
xgb_curve = hv.Curve(df_reg_test, 'date', 'xgb_pred', label='New Forecast')

actual_curve * existing_curve * xgb_curve

现在我的剧情有了标题:

Holoviews Plot with Title

答案 1 :(得分:1)

将常规标题添加到覆盖中的另一种方法是使用:
opts.Overlay(title ='覆盖新标题')

下面是在Holoview叠加图上设置标题的示例:

# import libraries
import numpy as np
import holoviews as hv
from holoviews import opts
hv.extension('bokeh')

# create some sample data
data1 = np.random.normal(size=[50, 2])
data2 = np.random.normal(size=[50, 2])

# create your overlay plot
all_plots = hv.Scatter(data1, label='data1') * hv.Scatter(data2, label='data2')

# add your title to your overlay with opts.Overlay()
all_plots.opts(opts.Overlay(title='New title for Overlay'))

生成的图将如下所示:

New title on Overlay Holoviews graph

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