Density plots

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Version Check

Note: 2D Density Plots are available in version 2.0.0+
Run pip install plotly --upgrade to update your Plotly version

```python deletable=true editable=true import plotly plotly.version 

<!-- #region {"deletable": true, "editable": true} -->
#### 2D Histogram Contour Plot with Histogram Subplots
<!-- #endregion -->

```python deletable=true editable=true
import plotly.plotly as py
import plotly.figure_factory as ff

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))

colorscale = ['#7A4579', '#D56073', 'rgb(236,158,105)', (1, 1, 0.2), (0.98,0.98,0.98)]

fig = ff.create_2d_density(
    x, y, colorscale=colorscale,
    hist_color='rgb(255, 237, 222)', point_size=3
)

py.iplot(fig, filename='histogram_subplots')

2D Histogram Contour Plot with Slider Control

https://jsfiddle.net/plotlygraphs/y9sdy76h/4/embedded/result,js,html/

Add slider controls to 2d-density-plot plots with the postMessage API.

See the code on JSFiddle.

Watch the 5 second video of how it works:

IPython terminal

Reference

```python deletable=true editable=true help(ff.create_2d_density) 

```python deletable=true editable=true
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(
    'density-plots.ipynb', 'python/density-plots/', 'Python 2d Density Plots | plotly',
    'How to make a 2d density plot in python. Examples of density plots with kernel density estimations, custom color-scales, and smoothing.',
    title='Python 2d Density Plots | plotly',
    name='2d Density Plots',
    thumbnail='thumbnail/density.gif', language='python',
    has_thumbnail='true', display_as='statistical', order=7,
    ipynb= '~notebook_demo/25')

```python deletable=true editable=true

```

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