#!/usr/bin/env python
# coding: utf-8

# #### New to Plotly?
# Plotly's Python library is free and open source! [Get started](https://plotly.com/python/getting-started/) by downloading the client and [reading the primer](https://plotly.com/python/getting-started/).
# <br>You can set up Plotly to work in [online](https://plotly.com/python/getting-started/#initialization-for-online-plotting) or [offline](https://plotly.com/python/getting-started/#initialization-for-offline-plotting) mode, or in [jupyter notebooks](https://plotly.com/python/getting-started/#start-plotting-online).
# <br>We also have a quick-reference [cheatsheet](https://images.plot.ly/plotly-documentation/images/python_cheat_sheet.pdf) (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__


# #### 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")


# #### 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")


# #### 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")


# #### 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')


# #### 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">'))

get_ipython().system(' 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)


# In[ ]: