散景初始 x 軸縮放范圍並允許在 y_range 范圍內完全縮小 x 軸

Question

通過以下內容，我可以設置過去 4 小時的初始 x 軸縮放范圍。 理想情況下，我希望使用滾輪縮放僅在 x 軸上滾動並查看整個 plot 但仍由設置的范圍限制在 y 軸上。 以下不允許這樣做，並且設置以下任何一項也不允許：

y_range=DataRange1d(0, y_max, bounds="auto")
y_range=DataRange1d(0, y_max) # i.e. bounds=None as per docs

任何人都可以幫助我如何允許在 x 軸上進行初始視圖，允許在 x 軸上縮小，但在 y 軸上設置邊界，以便用戶不能縮小超出最小 y=0 和（在示例）最大 y=8？

根據此處的文檔，在 y 軸上靜態設置邊界的示例代碼：

import pandas as pandas
from bokeh.plotting import figure, output_file, show
from bokeh.models import ColumnDataSource, DataRange1d, Range1d

output_file('stackoverflowq.html')

list1 = [['2020-12-03 09:20:03.175453','5'],['2020-12-04 09:20:03.175453','7'],['2020-12-05 09:20:03.175453','3'],['2020-12-05 09:30:03.175453','4'],['2020-12-05 09:40:03.175453','5'],['2020-12-05 09:50:03.175453','6'],['2020-12-05 10:00:03.175453','4'],['2020-12-05 10:10:03.175453','1'],['2020-12-05 10:20:03.175453','2'],['2020-12-05 10:30:03.175453','8'],['2020-12-05 10:40:03.175453','2'],['2021-01-03 09:20:03.175453','5'],['2021-01-04 09:20:03.175453','7'],['2021-01-05 09:20:03.175453','3'],['2021-01-20 09:30:03.175453','4'],['2021-01-21 01:40:03.175453','5'],['2021-01-21 02:50:03.175453','6'],['2021-01-21 06:00:03.175453','4'],['2021-01-21 07:10:03.175453','1'],['2021-01-21 08:20:03.175453','2'],['2021-01-21 09:30:03.175453','8'],['2021-01-21 10:40:03.175453','2']]

cols = ['DateTime','vals']
df = pandas.DataFrame(list1,columns=cols)
df['DateTime'] = pandas.to_datetime(df['DateTime'])
df = df.set_index('DateTime')

y_max = int(df.vals.unique().max())*1.2

x_max = df.index.unique().max()
x_min = x_max - pandas.Timedelta('4h')

p = figure(x_axis_type="datetime", y_range=DataRange1d(0, y_max, bounds=(0, y_max)), x_range=(x_min, x_max))

p.line(x='DateTime', y='vals', color='blue', source=df)

p.xaxis.axis_label = 'Date Time'
p.yaxis.axis_label = 'vals'

show(p)

Answer 1

您只需更改滾輪縮放工具。 使用tools='xwheel_zoom' 。

示例請使用我的最小示例，如果您仍有此問題，請給我一些反饋。

import pandas as pd # version 1.1.4
from bokeh.plotting import figure, output_notebook, show # version 2.2.3
from bokeh.models import ColumnDataSource, DataRange1d, Range1d
output_notebook()
date_times = pd.Timestamp.now()
x_max = date_times
x_min = date_times - pd.Timedelta('4h')
x = [x_max - pd.Timedelta(f'{t}h') for t in range(5,0,-1)]
y = [2, 5, 8, 2, 7]

other_tools = "pan, box_zoom, save, reset, help,"
p = figure(x_axis_type="datetime", tools="xwheel_zoom,"+other_tools, x_range=(x_min,x_max))
p.circle(x, y, size=10)
show(p)

初始縮放	使用wheel_zoom	使用xwheel_zoom
		您必須通過鼠標單擊 select 滾輪縮放工具。