我一直在嘗試在使用 Holoviews 和 Bokeh 時(shí)設(shè)置標(biāo)題。我正在相互疊加 3 個(gè)地塊。代碼如下所示：%%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情節(jié)是這樣的：如您所見，各個(gè)曲線的標(biāo)簽在圖例中顯示得很好，但我在圖的頂部沒有標(biāo)題。如何手動(dòng)設(shè)置標(biāo)題？
2 回答
慕婉清6462132
TA貢獻(xiàn)1804條經(jīng)驗(yàn) 獲得超2個(gè)贊
另一種為疊加添加一般標(biāo)題的方法是使用：
opts.Overlay(title='New title for Overlay')
以下是在 Holoview 疊加圖上設(shè)置標(biāo)題的示例：
# 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'))
結(jié)果圖將如下所示：
largeQ
TA貢獻(xiàn)2039條經(jīng)驗(yàn) 獲得超8個(gè)贊
我發(fā)現(xiàn)我可以在疊加選項(xiàng)中添加一個(gè) title_format="my new title" 選項(xiàng)：
%%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
現(xiàn)在我的情節(jié)有一個(gè)標(biāo)題：
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