Notebook

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You can set up Plotly to work in online or offline mode, or in jupyter notebooks.
We also have a quick-reference cheatsheet (new!) to help you get started!

Version Check¶

Plotly's python package is updated frequently. Run pip install plotly --upgrade to use the latest version.

In [1]:

import plotly
plotly.__version__

Out[1]:

'2.3.0'

Basic 2D Histogram Contour¶

In [2]:

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

import numpy as np

x = np.random.uniform(-1, 1, size=500)
y = np.random.uniform(-1, 1, size=500)

trace = [go.Histogram2dContour(
        x = x,
        y = y
)]

py.iplot(trace, filename = "Basic Histogram2dContour")

Out[2]:

2D Histogram Contour Colorscale¶

In [3]:

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

import numpy as np

x = np.random.uniform(-1, 1, size=500)
y = np.random.uniform(-1, 1, size=500)

trace = [go.Histogram2dContour(
        x = x,
        y = y,
        colorscale = 'Blues'
)]

py.iplot(trace, filename = "Histogram2dContour Colorscale")

Out[3]:

2D Histogram Contour Styled¶

In [4]:

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

import numpy as np

x = np.random.uniform(-1, 1, size=500)
y = np.random.uniform(-1, 1, size=500)

trace = [go.Histogram2dContour(
        x = x,
        y = y,
        colorscale = 'Jet',
        contours = dict(
            showlabels = True,
            labelfont = dict(
                family = 'Raleway',
                color = 'white'
            )
        ),
        hoverlabel = dict(
            bgcolor = 'white',
            bordercolor = 'black',
            font = dict(
                family = 'Raleway',
                color = 'black'
            )
        )
        
)]

py.iplot(trace, filename = "Histogram2dContour Styled")

Out[4]:

2D Histogram Contour Subplot¶

In [5]:

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

import numpy as np

t = np.linspace(-1, 1.2, 2000)
x = (t**3) + (0.3 * np.random.randn(2000))
y = (t**6) + (0.3 * np.random.randn(2000))

data = [
    go.Histogram2dContour(
        x = x,
        y = y,
        colorscale = 'Blues',
        reversescale = True,
        xaxis = 'x',
        yaxis = 'y'
    ),
    go.Scatter(
        x = x,
        y = y,
        xaxis = 'x',
        yaxis = 'y',
        mode = 'markers',
        marker = dict(
            color = 'rgba(0,0,0,0.3)',
            size = 3
        )
    ),
    go.Histogram(
        y = y,
        xaxis = 'x2',
        marker = dict(
            color = 'rgba(0,0,0,1)'
        )
    ),
    go.Histogram(
        x = x,
        yaxis = 'y2',
        marker = dict(
            color = 'rgba(0,0,0,1)'
        )
    )
]

layout = go.Layout(
    autosize = False,
    xaxis = dict(
        zeroline = False,
        domain = [0,0.85],
        showgrid = False
    ),
    yaxis = dict(
        zeroline = False,
        domain = [0,0.85],
        showgrid = False
    ),
    xaxis2 = dict(
        zeroline = False,
        domain = [0.85,1],
        showgrid = False
    ),
    yaxis2 = dict(
        zeroline = False,
        domain = [0.85,1],
        showgrid = False
    ),
    height = 600,
    width = 600,
    bargap = 0,
    hovermode = 'closest',
    showlegend = False
)



fig = go.Figure(data=data,layout=layout)
py.iplot(fig, filename='Histogram2dContour Subplot')

Out[5]:

Reference¶

See https://plotly.com/python/reference/#histogram2dcontour for more information and chart attribute options!

In [6]:

from IPython.display import display, HTML

display(HTML('<link href="//fonts.googleapis.com/css?family=Open+Sans:600,400,300,200|Inconsolata|Ubuntu+Mono:400,700" rel="stylesheet" type="text/css" />'))
display(HTML('<link rel="stylesheet" type="text/css" href="http://help.plot.ly/documentation/all_static/css/ipython-notebook-custom.css">'))

! pip install git+https://github.com/plotly/publisher.git --upgrade
import publisher
publisher.publish(
    'histogram2dcontour.ipynb', 'python/2d-histogram-contour/', '2D Histogram Contour',
    'How to make 2D Histogram Contour plots in Python with Plotly.',
    title = '2D Histogram Contour | Plotly',
    has_thumbnail='true', thumbnail='thumbnail/hist2dcontour.png', 
    language='python', 
    # page_type='example_index', // note this is only if you want the tutorial to appear on the main page: plot.ly/python
    display_as='statistical', 
    order=30, 
    ipynb='~notebook_demo/199',
    uses_plotly_offline=False)

Collecting git+https://github.com/plotly/publisher.git
  Cloning https://github.com/plotly/publisher.git to c:\users\branden\appdata\local\temp\pip-99s09b37-build
Installing collected packages: publisher
  Found existing installation: publisher 0.11
    Uninstalling publisher-0.11:
      Successfully uninstalled publisher-0.11
  Running setup.py install for publisher: started
    Running setup.py install for publisher: finished with status 'done'
Successfully installed publisher-0.11

C:\Users\Branden\Anaconda3\envs\ipykernel_py2\lib\site-packages\IPython\nbconvert.py:13: ShimWarning:

The `IPython.nbconvert` package has been deprecated. You should import from nbconvert instead.

C:\Users\Branden\Anaconda3\envs\ipykernel_py2\lib\site-packages\publisher\publisher.py:53: UserWarning:

Did you "Save" this notebook before running this command? Remember to save, always save.

In [ ]: