带有多条线的散景折线图和带有来自 pandas 的数据的 hovertool

Question

我正在使用 Bokeh v2.4.3。我正在使用 CDSView 和 IndexFilter 传递 pandas 数据框的列索引，但在途中不知何故迷路了。我的代码：

def tab_plots(df, cols1, cols2, cols3, title):
    '''df - dataframe source, cols - list of column numbers from the df, title - chart titel '''
    dates = df.index.to_numpy(dtype=np.datetime64)
    source = ColumnDataSource(df)
    view = CDSView(source=source, filters=[IndexFilter(cols1)])
    view2 = CDSView(source=source, filters=[IndexFilter(cols2)])
    view3 = CDSView(source=source, filters=[IndexFilter(cols3)])
    
    
    #Slider dates
    value2 = int(round(len(df.index)-1))
    value1 = int(value2 -(value2/4))
    
    ##Chart size
    hight = 300
    width = 500
    
    ##Hovertool configuration
    hover1 = HoverTool(tooltips=[("Date", "@date{%d/%m/%Y}"), 
                                ("Price", "@y{€ %.2f}")],
                                
                      formatters={'@date': 'datetime', 
                                  '@y': 'printf'}, 
                      mode='vline')
    
    hover2 = HoverTool(tooltips=[("Date", "@date{%d/%m/%Y}"), 
                                ("Price", "@y{€ %.2f}")], 
                      formatters={'@date': 'datetime', 
                                  '@y': 'printf'}, 
                      mode='vline')
    
    hover3 = HoverTool(tooltips=[("Date", "@date{%d/%m/%Y}"), 
                                ("Price", "@y{€ %.2f}")], 
                      formatters={'@date': 'datetime', 
                                  '@y': 'printf'}, 
                      mode='vline')
    
    fig1 = figure(plot_width=width, 
                 plot_height=hight, 
                 x_axis_type="datetime",
                  title = title, 
                  toolbar_location="above",
                  tools=[hover1, BoxZoomTool(), 
                         ResetTool(), 
                         PanTool(),
                         SaveTool()],
                  x_range=(dates[value1], dates[value2]))
    
    fig1.toolbar.logo = "grey"
    fig1.line('date', cols1, source=source, view=view, line_color='green', hover_color="red")
    fig1.yaxis.axis_label = '€'
    tab1 = Panel(child=fig1, title="Base")
    
    #####################
    ###Defining rangetool
    
    select = figure(height=75, 
                    width=width, 
                    y_range=fig1.y_range,
                    x_axis_type="datetime", 
                    y_axis_type=None,
                    tools="", 
                    toolbar_location=None, 
                    background_fill_color="#efefef")
    
    
    range_tool = RangeTool(x_range=fig1.x_range)
    range_tool.overlay.fill_color = "navy"
    range_tool.overlay.fill_alpha = 0.2
    
    
    select.line('date', 'y', source=source)
    #select.line('date', 'y1', source=source)
    #select.line('date', 'y2', source=source)
    select.ygrid.grid_line_color = None
    select.add_tools(range_tool)
    select.toolbar.active_multi = range_tool
    
    
    fig2 = figure(plot_width=width, 
                 plot_height=hight, 
                 x_axis_type="datetime",
                  title = title, 
                  toolbar_location="above",
                  tools=[hover2, BoxZoomTool(), 
                         ResetTool(), 
                         PanTool(),
                         SaveTool()],
                  x_range=fig1.x_range)
    
    fig2.toolbar.logo = "grey"
    fig2.line('date', cols2, source=source, view=view2, line_color='red', hover_color="blue")
    fig2.yaxis.axis_label = '€'
    tab2 = Panel(child=fig2, title="Peak")
    
    
    fig3 = figure(plot_width=width, 
                 plot_height=hight, 
                 x_axis_type="datetime",
                  title = title, 
                  toolbar_location="above",
                  tools=[hover3, BoxZoomTool(), 
                         ResetTool(), 
                         PanTool(),
                         SaveTool()],
                  x_range=fig1.x_range)
    
    fig3.toolbar.logo = "grey"
    fig3.line('date', cols3, source=source, view=view3, line_color='blue', hover_color="red")
    fig3.yaxis.axis_label = '€'
    tab3 = Panel(child=fig3, title="PB Spread")
    
    all_tabs = Tabs(tabs=[tab1, tab2, tab3])
    
    return all_tabs, select

当我尝试运行函数时：

plot1, select = tab_plots(df=dfbase, 
                                  cols1=[2], 
                                  cols2=[3], 
                                  cols3=[5], 
                                  title='Title1')

##Graph 2
plot2, select2 = tab_plots(df=de_spot_m, 
                                  cols1=[1], 
                                  cols2=[2], 
                                  cols3=[4], 
                                  title='Title2')

##Graph 3
plot3, select3 = tab_plots(df=M_rolled_fut, 
                                  cols1=[1,2,3,4], 
                                  cols2=[5,6,7,8], 
                                  cols3=[9,10,11,12], 
                                  title='Title3')


grid = gridplot([[plot1, plot2, plot3], 
                 [select, select2, select3]])

show(grid)

我收到以下错误：“RuntimeError:

期望 y 引用提供的数据源中的字段。

当“源”参数传递给字形方法时，值是序列 （如列表或数组）必须来自对源中数据列的引用。”

是的，我确实理解错误消息，但不知道如何更正代码...

非常感谢任何帮助！