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.
Archived discussions · Captured October 28, 2026
Histogram of NumPy array
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, skycondition@gmail.com 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 <bryan@bokeh.org> 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.htmlor some examples that don't involve pandas.
Bryan
On Dec 28, 2013, at 7:58 PM, skycondition@gmail.com 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 <skycondition@gmail.com> 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 <bryan@bokeh.org> 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.htmlor some examples that don't involve pandas.
Bryan
On Dec 28, 2013, at 7:58 PM, skycondition@gmail.com 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 bryan@bokeh.org 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 skycondition@gmail.com 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 bryan@bokeh.org 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/color_scatter_example.html
or some examples that don’t involve pandas.
Bryan
On Dec 28, 2013, at 7:58 PM, skycondition@gmail.com 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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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 <skycondition@gmail.com> 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 <bryan@bokeh.org> 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 Range1dmu, 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:]) / 2output_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 <skycondition@gmail.com> 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 <bryan@bokeh.org> 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, skycondition@gmail.com 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\.
>>
>> --
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>
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NumPy has a numpy.histogram() function that is a graphical representation of the frequency distribution of data. Rectangles of equal horizontal size corresponding to class interval called bin and variable height corresponding to frequency.
Matplotlib can convert this numeric representation of histogram into a graph. The plt() function of pyplot submodule takes the array containing the data and bin array as parameters and converts into a histogram.
@ankitlathiya What is your specific question? Bokeh can render histograms without using MPL. (Also, please don’t resurrect eight year old threads without good reason)
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