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When data are not available as tidy dataframes, it is also possible to use the more generic`go.Histogram` from`plotly.graph_objs`.

When data are not available as tidy dataframes, it is also possible to use the more generic`go.Histogram` from`plotly.graph_objs`. All of the available histogram options are described in the histogram section of the reference page:https://plot.ly/python/reference#histogram.

import numpyas np

x= np.random.randn(500)

data= [go.Histogram(x=x)]

fig= go.Figure(data=data)

fig= go.Figure(data=[go.Histogram(x=x)])

fig.show()

import numpyas np

x= np.random.randn(500)

data= [go.Histogram(x=x,

histnorm='probability')]

data= [go.Histogram(x=x,histnorm='probability')]

fig= go.Figure(data=data)

fig.show()

import numpyas np

x0= np.random.randn(500)

x1= np.random.randn(500)+1

trace0= go.Histogram(x=x0)

trace0= go.Histogram(

x=x0,

histnorm='percent',

name='control',# name used in legend

name='control',# name used in legend and hover labels

xbins=dict(# bins used for histogram

start=-4.0,

end=3.0,