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Version Check

Note: Histograms are available in version 1.9.12+
Run pip install plotly --upgrade to update your Plotly version



In [1]:

    
import plotly
plotly.__version__









    Out[1]:





'2.2.2'

Basic Histogram



In [5]:

    
import plotly.plotly as py
import plotly.graph_objs as go

import numpy as np
x = np.random.randn(500)

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









    Out[5]:

Normalized Histogram



In [6]:

    
import plotly.plotly as py
import plotly.graph_objs as go

import numpy as np
x = np.random.randn(500)

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









    Out[6]:

Horizontal Histogram



In [7]:

    
import plotly.plotly as py
import plotly.graph_objs as go

import numpy as np
y = np.random.randn(500)

data = [
    go.Histogram(
        y=y
    )
]
py.iplot(data)









    Out[7]:

Overlaid Histgram



In [8]:

    
import plotly.plotly as py
import plotly.graph_objs as go

import numpy as np
x0 = np.random.randn(500)
x1 = np.random.randn(500)+1

trace1 = go.Histogram(
    x=x0,
    opacity=0.75
)
trace2 = go.Histogram(
    x=x1,
    opacity=0.75
)
data = [trace1, trace2]
layout = go.Layout(
    barmode='overlay'
)
fig = go.Figure(data=data, layout=layout)
py.iplot(fig)









    Out[8]:

Stacked Histograms



In [9]:

    
import plotly.plotly as py
import plotly.graph_objs as go

import numpy as np
x0 = np.random.randn(500)
x1 = np.random.randn(500)+1

trace1 = go.Histogram(
    x=x0
)
trace2 = go.Histogram(
    x=x1
)
data = [trace1, trace2]
layout = go.Layout(
    barmode='stack'
)
fig = go.Figure(data=data, layout=layout)
py.iplot(fig)









    Out[9]:

Colored and Styled Histograms



In [10]:

    
import plotly.plotly as py
import plotly.graph_objs as go

import numpy as np
x0 = np.random.randn(500)
x1 = np.random.randn(500)+1

trace1 = go.Histogram(
    x=x0,
    histnorm='count',
    name='control',
    autobinx=False,
    xbins=dict(
        start=-3.2,
        end=2.8,
        size=0.2
    ),
    marker=dict(
        color='fuchsia',
        line=dict(
            color='grey',
            width=0
        )
    ),
    opacity=0.75
)
trace2 = go.Histogram(
    x=x1,
    name='experimental',
    autobinx=False,
    xbins=dict(
        start=-1.8,
        end=4.2,
        size=0.2
    ),
    marker=dict(
        color='rgb(255, 217, 102)'
    ),
    opacity=0.75
)
data = [trace1, trace2]
layout = go.Layout(
    title='Sampled Results',
    xaxis=dict(
        title='Value'
    ),
    yaxis=dict(
        title='Count'
    ),
    barmode='overlay',
    bargap=0.25,
    bargroupgap=0.3
)
fig = go.Figure(data=data, layout=layout)
py.iplot(fig)









    Out[10]:

Reference

See https://plot.ly/python/reference/#histogram for more information and chart attribute options!



In [ ]: