问题
I am trying to create a custom hover tool using which takes the y-value of the plot and maps the value to different value.
The code I could come up with so far to achieve this functionality is
from bokeh.models import HoverTool
import holoviews as hv
df = pd.DataFrame(
{
"zero": [0, 0, 0, 0, 0, 0, 0],
"one": [1, 1, 1, 1, 1, 1, 1],
"two": [2, 2, 2, 2, 2, 2, 2],
}
)
mapping = {i: c for i, c in enumerate(df.columns)}
def col_mapping(num):
return mapping[int(num)]
hover = HoverTool(tooltips=[("x", "$x"), ("y", "$y")])
img = hv.Image((df.index, np.arange(df.shape[1]), df.T)).opts(tools=[hover])
img
x
and y
will be float values. So the idea is to map the y
coordinates to its corresponding value in the mapping
dictionary
Let me know how I can get a new value in the hover tool so that when the value is b/w 0 and 1 it will be
Thanks
回答1:
Here's how I'd do it:
code = f"return ({json.dumps(mapping)})[Math.floor(special_vars.y)];"
hover = HoverTool(tooltips=[("x", "$x"), ("y", "$y"), ('mapped_y', '$y{0}')],
formatters={'$y': CustomJSHover(code=code)})
If you need a some more complicated code than that of col_mapping
, then you'd have to use a ColumnDataSource
and just add to it the fully transformed column.
来源:https://stackoverflow.com/questions/61337080/how-to-create-custom-hover-tool-with-value-mapping