悬停时仅显示一行，隐藏所有其他行

banderlog013

当我悬停单个线条时，有没有办法隐藏图形上的所有其他线条？

例子：

import numpy as np
import plotly.express as px

np.random.seed(42)
data = np.random.randint(0, 10, (5, 10))
fig = px.line(data_frame=pd.DataFrame(data))

fig.show()

将产生：

我想要这个，当我悬停特定行时（但没有手动关闭所有其他行并保持 X、Y 轴变暗）：

UPD：在 jupyter 笔记本中

It_is_Chris

import plotly.graph_objects as go
import numpy as np
import pandas as pd

# callback function for on_hover
def hide_traces_on_hover(trace, points, selector):
    if len(points.point_inds)==1: # identify hover
        i = points.trace_index # get the index of the hovered trace
        f.data[i].visible = True # keep the hovered trace visible
        # create a list of traces you want to hide
        hide_traces = [l_trace for idx, l_trace in enumerate(f.data) if idx != i] 
        for l_trace in hide_traces: # iterate over hide_traces
            l_trace.visible = 'legendonly' # hide all remaining traces
    
# callback function to unhide traces on click
def unhide_traces_on_click(trace, points, selector):
    for l_trace in f.data:
        l_trace.visible = True
        
# your sample data frame
np.random.seed(42)
data = np.random.randint(0, 10, (5, 10))
df = pd.DataFrame(data)

f = go.FigureWidget() # create figure widget

f.update_yaxes(autorange=False) # set auto range to false
# define the range of the y-axis using min and max functions
f.update_layout(yaxis_range=[df.values.min()-1, df.values.max()+1])

# create your traces from the data frame
for col in df.columns:
    trace = go.Scatter(x=df.index, y=df[col], mode='lines+markers')
    f.add_trace(trace)

# assign your functions to each trace
for trace in f.data:
    trace.on_hover(hide_traces_on_hover)
    trace.on_click(unhide_traces_on_click)

f

如果你碰到的问题，这里是jupyter笔记本支持文档使用FigureWidget和这里是jupyter实验室支持文档。确保您已ipywidgets安装该软件包。另外，仅供参考，这里是FigureWidget 文档。