Histogram of NumPy array

Is Bokeh like yhat’s ggplot in that all data must be coverted to a pandas df before plotting? I have some large numpy arrays that I would love to plot histograms of using Bokeh.

Hi,

We are definitely interested in improving pandas integration, but also interested in having minimal hard dependencies. You can definitely plot directly from numpy arrays, check out:

  http://bokeh.pydata.org/plot_gallery/stocks.html
  http://bokeh.pydata.org/plot_gallery/lorenz_example.html
  http://bokeh.pydata.org/plot_gallery/color_scatter_example.html
  http://bokeh.pydata.org/plot_gallery/correlation.html

or some examples that don't involve pandas.

Bryan

···

On Dec 28, 2013, at 7:58 PM, [email protected] wrote:

Is Bokeh like yhat's ggplot in that all data must be coverted to a pandas df before plotting? I have some large numpy arrays that I would love to plot histograms of using Bokeh.

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Thanks Bryan, sorry for missing the obvious. Do you have any examples of histograms?

···

On Dec 28, 2013, at 21:00, Bryan Van de Ven <[email protected]> wrote:

Hi,

We are definitely interested in improving pandas integration, but also interested in having minimal hard dependencies. You can definitely plot directly from numpy arrays, check out:

   http://bokeh.pydata.org/plot_gallery/stocks.html
   http://bokeh.pydata.org/plot_gallery/lorenz_example.html
   http://bokeh.pydata.org/plot_gallery/color_scatter_example.html
   http://bokeh.pydata.org/plot_gallery/correlation.html

or some examples that don't involve pandas.

Bryan

On Dec 28, 2013, at 7:58 PM, [email protected] wrote:

Is Bokeh like yhat's ggplot in that all data must be coverted to a pandas df before plotting? I have some large numpy arrays that I would love to plot histograms of using Bokeh.

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Hi Kevin,

Yes, right now this is a little more clunky than it should be, but it is definitely possible.

  import numpy as np
  from bokeh.plotting import *
  from bokeh.objects import Range1d

  mu, sigma = 100, 15
  x = mu + sigma * np.random.randn(10000)
  hist, bins = np.histogram(x, bins=50)
  width = 0.7 * (bins[1] - bins[0])
  center = (bins[:-1] + bins[1:]) / 2

  output_file("/tmp/hist.html")

  rect(center, hist/2.0, width, hist, y_range=Range1d(start=0,end=700))

  show()

In the near future, looks for a bars() function to make this a little easier, and also for auto range scaling that works with glyphs like rect (it currently works well with "pointlike" marker glyphs but needs some extra logic to work well with glyphs like rect that have "extent")

Bryan

···

On Dec 29, 2013, at 12:56 AM, Kevin <[email protected]> wrote:

Thanks Bryan, sorry for missing the obvious. Do you have any examples of histograms?

On Dec 28, 2013, at 21:00, Bryan Van de Ven <[email protected]> wrote:

Hi,

We are definitely interested in improving pandas integration, but also interested in having minimal hard dependencies. You can definitely plot directly from numpy arrays, check out:

  http://bokeh.pydata.org/plot_gallery/stocks.html
  http://bokeh.pydata.org/plot_gallery/lorenz_example.html
  http://bokeh.pydata.org/plot_gallery/color_scatter_example.html
  http://bokeh.pydata.org/plot_gallery/correlation.html

or some examples that don't involve pandas.

Bryan

On Dec 28, 2013, at 7:58 PM, [email protected] wrote:

Is Bokeh like yhat's ggplot in that all data must be coverted to a pandas df before plotting? I have some large numpy arrays that I would love to plot histograms of using Bokeh.

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Holy molly that is verbose! Thanks for your help Bryan. I think ggplot has spoiled me, but I’m sure there is a method to your madness, probably involves not abstracting away so much and doing away with too much ‘magic’ so you can have more granularity around visuals.

···

On Sun, Dec 29, 2013 at 3:24 PM, Bryan Van de Ven [email protected] wrote:

Hi Kevin,

Yes, right now this is a little more clunky than it should be, but it is definitely possible.

    import numpy as np

    from bokeh.plotting import *

    from bokeh.objects import Range1d



    mu, sigma = 100, 15

    x = mu + sigma * np.random.randn(10000)

    hist, bins = np.histogram(x, bins=50)

    width = 0.7 * (bins[1] - bins[0])

    center = (bins[:-1] + bins[1:]) / 2



    output_file("/tmp/hist.html")



    rect(center, hist/2.0, width, hist, y_range=Range1d(start=0,end=700))



    show()

In the near future, looks for a bars() function to make this a little easier, and also for auto range scaling that works with glyphs like rect (it currently works well with “pointlike” marker glyphs but needs some extra logic to work well with glyphs like rect that have “extent”)

Bryan

On Dec 29, 2013, at 12:56 AM, Kevin [email protected] wrote:

Thanks Bryan, sorry for missing the obvious. Do you have any examples of histograms?

On Dec 28, 2013, at 21:00, Bryan Van de Ven [email protected] wrote:

Hi,

We are definitely interested in improving pandas integration, but also interested in having minimal hard dependencies. You can definitely plot directly from numpy arrays, check out:

http://bokeh.pydata.org/plot_gallery/stocks.html

http://bokeh.pydata.org/plot_gallery/lorenz_example.html

http://bokeh.pydata.org/plot_gallery/color_scatter_example.html

http://bokeh.pydata.org/plot_gallery/correlation.html

or some examples that don’t involve pandas.

Bryan

On Dec 28, 2013, at 7:58 PM, [email protected] wrote:

Is Bokeh like yhat’s ggplot in that all data must be coverted to a pandas df before plotting? I have some large numpy arrays that I would love to plot histograms of using Bokeh.

You received this message because you are subscribed to the Google Groups “Bokeh Discussion - Public” group.

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For more options, visit https://groups.google.com/a/continuum.io/groups/opt_out.

You received this message because you are subscribed to the Google Groups “Bokeh Discussion - Public” group.

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You received this message because you are subscribed to the Google Groups “Bokeh Discussion - Public” group.

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Kevin,

Glad to help. One thing I should mention is that an MPL compatibility layer is on the roadmap, which should allow people to use the python ggplot package as well as seaborn, but target bokeh plots as the output very easily. We will definitely be adding more schematized and high-level functions to the bokeh API as well, but we wanted to make sure to build up from a very flexible and composable foundation.

Bryan

···

On Dec 29, 2013, at 5:28 PM, Kevin <[email protected]> wrote:

Holy molly that is verbose! Thanks for your help Bryan. I think ggplot has spoiled me, but I'm sure there is a method to your madness, probably involves not abstracting away so much and doing away with too much 'magic' so you can have more granularity around visuals.

On Sun, Dec 29, 2013 at 3:24 PM, Bryan Van de Ven <[email protected]> wrote:
Hi Kevin,

Yes, right now this is a little more clunky than it should be, but it is definitely possible.

        import numpy as np
        from bokeh.plotting import *
        from bokeh.objects import Range1d

        mu, sigma = 100, 15
        x = mu + sigma * np.random.randn(10000)
        hist, bins = np.histogram(x, bins=50)
        width = 0.7 * (bins[1] - bins[0])
        center = (bins[:-1] + bins[1:]) / 2

        output_file("/tmp/hist.html")

        rect(center, hist/2.0, width, hist, y_range=Range1d(start=0,end=700))

        show()

In the near future, looks for a bars() function to make this a little easier, and also for auto range scaling that works with glyphs like rect (it currently works well with "pointlike" marker glyphs but needs some extra logic to work well with glyphs like rect that have "extent")

Bryan

On Dec 29, 2013, at 12:56 AM, Kevin <[email protected]> wrote:

> Thanks Bryan, sorry for missing the obvious. Do you have any examples of histograms?
>
>> On Dec 28, 2013, at 21:00, Bryan Van de Ven <[email protected]> wrote:
>>
>> Hi,
>>
>> We are definitely interested in improving pandas integration, but also interested in having minimal hard dependencies. You can definitely plot directly from numpy arrays, check out:
>>
>> http://bokeh.pydata.org/plot_gallery/stocks.html
>> http://bokeh.pydata.org/plot_gallery/lorenz_example.html
>> http://bokeh.pydata.org/plot_gallery/color_scatter_example.html
>> http://bokeh.pydata.org/plot_gallery/correlation.html
>>
>> or some examples that don't involve pandas.
>>
>> Bryan
>>
>>
>>> On Dec 28, 2013, at 7:58 PM, [email protected] wrote:
>>>
>>> Is Bokeh like yhat's ggplot in that all data must be coverted to a pandas df before plotting? I have some large numpy arrays that I would love to plot histograms of using Bokeh.
>>>
>>> --
>>> You received this message because you are subscribed to the Google Groups "Bokeh Discussion - Public" group.
>>> To unsubscribe from this group and stop receiving emails from it, send an email to [email protected].
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>>> To view this discussion on the web visit https://groups.google.com/a/continuum.io/d/msgid/bokeh/45acd5d5-68d1-494d-b23f-983e9deff25e%40continuum.io.
>>> For more options, visit https://groups.google.com/a/continuum.io/groups/opt_out.
>>
>> --
>> You received this message because you are subscribed to the Google Groups "Bokeh Discussion - Public" group.
>> To unsubscribe from this group and stop receiving emails from it, send an email to [email protected].
>> To post to this group, send email to [email protected].
>> To view this discussion on the web visit https://groups.google.com/a/continuum.io/d/msgid/bokeh/17C631A1-F102-4460-8BA3-1F22E04901F2%40continuum.io.
>> For more options, visit https://groups.google.com/a/continuum.io/groups/opt_out.
>
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