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Archived discussions · Captured October 28, 2026

Rescaling

Community Support
nickle
nickleMay 02, 2019   #1

I have a figure defined like this

returns_hist = figure(plot_width=SMALLWIDTH, plot_height=HEIGHT, tools='', title='Returns Histogram')



I then update the data in an update function in this way





hist, edges = np.histogram(data['returns'], density=True, bins=50)
returns_hist.quad(top=hist, bottom=0, left=edges[:-1], right=edges[1:], line_color="white")



What I see is that some of the data sets have very large central peaks. Other's small.



If I display a large peeked data set its fine, the y_axis rescales.



If I then display a data set with a low peak, the y_axis does not rescale.



Is there a way for forcing a rescaling?



Thanks
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Bryan
BryanMay 02, 2019   #2

Hi,

It's not really possible to speculate without more information. By default, "figure" uses auto-scaling DataRange1d objects for ranges. So possibly you are updating the range start/end manually (which disables further auto-scaling), or you have some other data that is preventing the scaling from only considering the histogram. More complete code would be necessary to say.

Thanks,

Bryan

···

On May 2, 2019, at 12:50 PM, nickle@gmail.com wrote:

I have a figure defined like this

returns_hist = figure(plot_width=SMALLWIDTH, plot_height=HEIGHT, tools='', title='Returns Histogram')

I then update the data in an update function in this way

hist, edges = np.histogram(data['returns'], density=True, bins=50)
returns_hist.quad(top=hist, bottom=0, left=edges[:-1], right=edges[1:], line_color="white")

What I see is that some of the data sets have very large central peaks. Other's small.

If I display a large peeked data set its fine, the y_axis rescales.

If I then display a data set with a low peak, the y_axis does not rescale.

Is there a way for forcing a rescaling?

Thanks

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