Python 如何在 Bokeh 中完成 `set_xlim` 或 `set_ylim`？
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How can I accomplish `set_xlim` or `set_ylim` in Bokeh?
提问by Brian
I create a figure in a function, e.g.
我在函数中创建了一个图形，例如
import numpy
from bokeh.plotting import figure, show, output_notebook
output_notebook()
def make_fig():
rows = cols = 16
img = numpy.ones((rows, cols), dtype=numpy.uint32)
view = img.view(dtype=numpy.uint8).reshape((rows, cols, 4))
view[:, :, 0] = numpy.arange(256)
view[:, :, 1] = 265 - numpy.arange(256)
fig = figure(x_range=[0, c], y_range=[0, rows])
fig.image_rgba(image=[img], x=[0], y=[0], dw=[cols], dh=[rows])
return fig
Later I want to zoom in on the figure:
后来想把图放大：
fig = make_fig()
# <- zoom in on plot, like `set_xlim` from matplotlib
show(fig)
How can I do programmatic zoom in bokeh?
如何在散景中进行程序化缩放？
采纳答案by Brian
One way is to can things with a simple tuple when creating a figure:
一种方法是在创建图形时使用简单的元组进行处理：
figure(..., x_range=(left, right), y_range=(bottom, top))
But you can also set the x_rangeand y_rangeproperties of a created figure directly. (I had been looking for something like set_xlimor set_ylimfrom matplotlib.)
但是您也可以直接设置创建的图形的x_range和y_range属性。（我一直在寻找类似set_xlim或set_ylim来自 matplotlib 的东西。）
from bokeh.models import Range1d
fig = make_fig()
left, right, bottom, top = 3, 9, 4, 10
fig.x_range=Range1d(left, right)
fig.y_range=Range1d(bottom, top)
show(fig)
回答by sushmit
you can also use it directly
你也可以直接使用
p = Histogram(wind , xlabel= 'meters/sec', ylabel = 'Density',bins=12,x_range=Range1d(2, 16))
show(p)
p = Histogram(wind , xlabel= 'meters/sec', ylabel = 'Density',bins=12,x_range=Range1d(2, 16))
show(p)
回答by SeF
Maybe a naive solution, but why not passing the lim axis as argument of your function?
也许是一个天真的解决方案，但为什么不将 lim 轴作为函数的参数传递？
import numpy
from bokeh.plotting import figure, show, output_notebook
output_notebook()
def make_fig(rows=16, cols=16,x_range=[0, 16], y_range=[0, 16], plot_width=500, plot_height=500):
img = numpy.ones((rows, cols), dtype=numpy.uint32)
view = img.view(dtype=numpy.uint8).reshape((rows, cols, 4))
view[:, :, 0] = numpy.arange(256)
view[:, :, 1] = 265 - numpy.arange(256)
fig = figure(x_range=x_range, y_range=y_range, plot_width=plot_width, plot_height=plot_height)
fig.image_rgba(image=[img], x=[0], y=[0], dw=[cols], dh=[rows])
return fig
回答by Will
As of Bokeh 2.X, it seems it is not possible to replace figure.{x,y}_rangewith a new instance of Range1dfrom DataRange1dor vice versa.
从 Bokeh 2.X 开始，似乎无法figure.{x,y}_range用Range1dfrom的新实例替换，DataRange1d反之亦然。
Instead one has to set figure.x_range.startand figure.x_range.endfor a dynamic update.
相反，必须设置figure.x_range.start并figure.x_range.end进行动态更新。
See https://github.com/bokeh/bokeh/issues/8421for further details on this issue.
有关此问题的更多详细信息，请参阅https://github.com/bokeh/bokeh/issues/8421。
