Question

我正在与bokeh一起生成股票数据，从而用户选择一个股票名称和开始/结束日期来生成图形。但是，选择某些股票时，y轴会变形（请参阅我的上一个问题：Bokeh plot becomes distorted when certain stocks are inputted）。

我试图通过手动选择将y范围设置为股票的最小值和最大值来缓解这种情况，但是，新范围不会更新，并且y轴不会更改。如何解决此问题？任何建议，将不胜感激。

p=figure(

    height=400,
    x_axis_type='datetime',
    title=(company+' ('+tickerstring+') '),
    tools='pan, box_zoom, wheel_zoom, reset',
)


x = np.array(sandpdates, dtype=np.datetime64)
y=sandpclose
r=p.line(x, y)

p.grid.grid_line_color="white"
p.xaxis.axis_label = 'Date'
p.yaxis.axis_label = 'Price'
p.add_tools(HoverTool(
    tooltips=[
        ("Date", "@x{%F}"),
        ('Close',"@y")
    ],
    formatters={
        'x':'datetime', # use 'datetime' formatter for 'date' field
    },
    mode='vline'
))


def update(f, startyear=2015, startmonth=1, startday=1, endyear=current_year, endmonth=current_month, endday=current_day):
    fstocksymbol=str(f.upper())
    starts=dt.datetime(startyear,startmonth,startday)
    end = dt.datetime(endyear,endmonth,endday)
    if int(startyear)> int(endyear):
        print('Please ensure the starting date does not exceed the end date')
    elif int(startyear)==int(endyear):
        if startmonth>endmonth:
            print('Please ensure the starting date does not exceed the end date')
        elif startmonth==endmonth:
            if startday>endday:
                print('Please ensure the starting date does not exceed the end date')
    else:
        print('')
    if fstocksymbol in stocksymbols:
        p.title.text = (symbolsdictionary[fstocksymbol]).upper()+' ('+fstocksymbol+')'
        tickerstring=fstocksymbol
        firstfunction=stockname(tickerstring, starts, end)
        secondfunction=stockdata(firstfunction)
        stockdates=[]
        stockcloseprices=[]
        for value in secondfunction:
            stockdates.append(value[0])
            stockcloseprices.append(float(value[4]))
        finaldate=np.array(stockdates, dtype=np.datetime64)

        p.y_range = Range1d(min(stockcloseprices), max(stockcloseprices))
        r.data_source.data['x'] = finaldate
        r.data_source.data['y'] = stockcloseprices
        push_notebook()

    elif fstocksymbol=='':
        print('')
    else:
        print("")

interact(update, f=stocksymbols, startyear=list(range(int(current_year-5),int(current_year+1))), startmonth=list(range(1,13)), startday=list(range(1,32)), 
         endyear=list(range(int(current_year-5),int(current_year+1))), endmonth=list(range(1,13)), endday=list(range(1,32)))

grid = gridplot([p, b], ncols=2, plot_width=570, plot_height=400)
show(grid, notebook_handle=True)

Answer 1

而不是直接使用新的Range1D分配范围的开始和结束属性：

p.y_range.start = min(stockcloseprices)
p.y_range.end = max(stockcloseprices)

还尝试为数据分配一个新的ColumnDataSource（），而不是直接按照以下方式向其中分配一些东西：

r.data_source.data = dict(x=finaldate, y=stockcloseprices)

我相信Bokeh仅在包含开始，结束和数据的图的某些属性上检测事件。

Python散景范围在更新时不会更改

1 个答案: