如何在不删除全息视图中的轴标签的情况下单独 hide/remove 轴
How to hide/remove the axis alone without removing the axis labels in holoviews
当我加入... .opts(title="Graph",ylabel="Count",width=400,axiswise=True,xaxis='bare')
xasis='bare'
或 xaxis=none
它使整个轴连同 holoviews
中的标签一起消失。如何在显示 axis
标签时仅删除轴?
这里的标签是 ylabel
因为轴是倒转的。 ylabel
为 xaxis
设置标签
参考 示例图表代码
还有一种方法可以在全息视图中为 side-by-side 地块指定主标题,而不是单独的地块标题。
为此,您需要深入研究散景。您可以使用钩子来执行此操作,也可以渲染散景对象并直接使用它:
挂钩方法:
import holoviews as hv
hv.extension("bokeh")
def hook(plot, element):
plot.state.xaxis.major_tick_line_color = None # turn off x-axis major ticks
plot.state.xaxis.minor_tick_line_color = None # turn off x-axis minor ticks
plot.state.xaxis.major_label_text_font_size = '0pt' # turn off x-axis tick labels
df = pd.DataFrame({
"set": list("ABABCCAD"),
"flag": list("YYNNNYNY"),
"id": list("DEFGHIJK"),
})
df = df.groupby(["set", "flag"])["id"].count().reset_index()
count_bars = hv.Bars(df, kdims=["set","flag"], vdims="id")
plot = (count_bars
.opts(hooks=[hook], title="IDs",invert_axes=True, width=500, padding=2)
.redim.values(flag=["Y", "N"]) # Inverting the axes flips this order. This produces N, Y vertically
.sort("set", reverse=True)
)
渲染散景对象并使用它:
from bokeh.io import show
import holoviews as hv
hv.extension("bokeh")
df = pd.DataFrame({
"set": list("ABABCCAD"),
"flag": list("YYNNNYNY"),
"id": list("DEFGHIJK"),
})
df = df.groupby(["set", "flag"])["id"].count().reset_index()
count_bars = hv.Bars(df, kdims=["set","flag"], vdims="id")
plot = (count_bars
.opts(title="IDs",invert_axes=True, width=500, padding=2)
.redim.values(flag=["Y", "N"]) # Inverting the axes flips this order. This produces N, Y vertically
.sort("set", reverse=True)
)
bokeh_figure = hv.render(plot)
bokeh_figure.xaxis.major_tick_line_color = None # turn off x-axis major ticks
bokeh_figure.xaxis.minor_tick_line_color = None # turn off x-axis minor ticks
bokeh_figure.xaxis.major_label_text_font_size = '0pt' # turn off x-axis tick labels
show(bokeh_figure)
这两种方法都会生成此图:
当我加入... .opts(title="Graph",ylabel="Count",width=400,axiswise=True,xaxis='bare')
xasis='bare'
或 xaxis=none
它使整个轴连同 holoviews
中的标签一起消失。如何在显示 axis
标签时仅删除轴?
这里的标签是 ylabel
因为轴是倒转的。 ylabel
为 xaxis
参考
还有一种方法可以在全息视图中为 side-by-side 地块指定主标题,而不是单独的地块标题。
为此,您需要深入研究散景。您可以使用钩子来执行此操作,也可以渲染散景对象并直接使用它:
挂钩方法:
import holoviews as hv
hv.extension("bokeh")
def hook(plot, element):
plot.state.xaxis.major_tick_line_color = None # turn off x-axis major ticks
plot.state.xaxis.minor_tick_line_color = None # turn off x-axis minor ticks
plot.state.xaxis.major_label_text_font_size = '0pt' # turn off x-axis tick labels
df = pd.DataFrame({
"set": list("ABABCCAD"),
"flag": list("YYNNNYNY"),
"id": list("DEFGHIJK"),
})
df = df.groupby(["set", "flag"])["id"].count().reset_index()
count_bars = hv.Bars(df, kdims=["set","flag"], vdims="id")
plot = (count_bars
.opts(hooks=[hook], title="IDs",invert_axes=True, width=500, padding=2)
.redim.values(flag=["Y", "N"]) # Inverting the axes flips this order. This produces N, Y vertically
.sort("set", reverse=True)
)
渲染散景对象并使用它:
from bokeh.io import show
import holoviews as hv
hv.extension("bokeh")
df = pd.DataFrame({
"set": list("ABABCCAD"),
"flag": list("YYNNNYNY"),
"id": list("DEFGHIJK"),
})
df = df.groupby(["set", "flag"])["id"].count().reset_index()
count_bars = hv.Bars(df, kdims=["set","flag"], vdims="id")
plot = (count_bars
.opts(title="IDs",invert_axes=True, width=500, padding=2)
.redim.values(flag=["Y", "N"]) # Inverting the axes flips this order. This produces N, Y vertically
.sort("set", reverse=True)
)
bokeh_figure = hv.render(plot)
bokeh_figure.xaxis.major_tick_line_color = None # turn off x-axis major ticks
bokeh_figure.xaxis.minor_tick_line_color = None # turn off x-axis minor ticks
bokeh_figure.xaxis.major_label_text_font_size = '0pt' # turn off x-axis tick labels
show(bokeh_figure)
这两种方法都会生成此图: