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‎python/2D-Histogram.md

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---
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jupyter:
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jupytext:
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notebook_metadata_filter: all
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text_representation:
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extension: .md
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format_name: markdown
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format_version: '1.1'
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jupytext_version: 1.1.1
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kernelspec:
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display_name: Python 3
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language: python
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name: python3
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language_info:
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codemirror_mode:
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name: ipython
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version: 3
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file_extension: .py
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mimetype: text/x-python
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name: python
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nbconvert_exporter: python
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pygments_lexer: ipython3
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version: 3.6.7
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plotly:
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description: How to make 2D Histograms in Python with Plotly.
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display_as: statistical
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has_thumbnail: true
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ipynb: ~notebook_demo/24
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language: python
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layout: user-guide
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name: 2D Histograms
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order: 6
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page_type: u-guide
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permalink: python/2D-Histogram/
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thumbnail: thumbnail/histogram2d.jpg
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title: Python 2D Histograms | plotly
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---
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### 2D Histogram of a Bivariate Normal Distribution ###
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```python
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import plotly.graph_objects as go
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import numpy as np
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x = np.random.randn(500)
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y = np.random.randn(500)+1
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fig = go.Figure(go.Histogram2d(
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x=x,
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y=y
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))
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fig.show()
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```
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### 2D Histogram Binning and Styling Options ###
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```python
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import plotly.graph_objects as go
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import numpy as np
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x = np.random.randn(500)
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y = np.random.randn(500)+1
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fig = go.Figure(go.Histogram2d(x=x, y=y, histnorm='probability',
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autobinx=False,
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xbins=dict(start=-3, end=3, size=0.1),
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autobiny=False,
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ybins=dict(start=-2.5, end=4, size=0.1),
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colorscale=[[0, 'rgb(12,51,131)'], [0.25, 'rgb(10,136,186)'], [0.5, 'rgb(242,211,56)'], [0.75, 'rgb(242,143,56)'], [1, 'rgb(217,30,30)']]
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))
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fig.show()
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```
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### 2D Histogram Overlaid with a Scatter Chart ###
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```python
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import plotly.graph_objects as go
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import numpy as np
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x0 = np.random.randn(100)/5. + 0.5 # 5. enforces float division
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y0 = np.random.randn(100)/5. + 0.5
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x1 = np.random.rand(50)
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y1 = np.random.rand(50) + 1.0
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x = np.concatenate([x0, x1])
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y = np.concatenate([y0, y1])
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fig = go.Figure()
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fig.add_trace(go.Scatter(
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x=x0,
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y=y0,
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mode='markers',
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showlegend=False,
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marker=dict(
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symbol='x',
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opacity=0.7,
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color='white',
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size=8,
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line=dict(width=1),
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)
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))
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fig.add_trace(go.Scatter(
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x=x1,
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y=y1,
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mode='markers',
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showlegend=False,
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marker=dict(
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symbol='circle',
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opacity=0.7,
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color='white',
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size=8,
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line=dict(width=1),
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)
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))
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fig.add_trace(go.Histogram2d(
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x=x,
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y=y,
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colorscale='YlGnBu',
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zmax=10,
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nbinsx=14,
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nbinsy=14,
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zauto=False,
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))
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fig.update_layout(
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xaxis=dict( ticks='', showgrid=False, zeroline=False, nticks=20 ),
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yaxis=dict( ticks='', showgrid=False, zeroline=False, nticks=20 ),
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autosize=False,
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height=550,
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width=550,
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hovermode='closest',
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)
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fig.show()
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```
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#### Reference
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See https://plot.ly/python/reference/#histogram2d for more information and chart attribute options!
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‎unconverted/python/2d-histogram-contour.md renamed to ‎python/2d-histogram-contour.md

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format_version: '1.1'
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jupytext_version: 1.1.1
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kernelspec:
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display_name: Python 2
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display_name: Python 3
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language: python
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name: python2
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name: python3
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language_info:
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codemirror_mode:
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name: ipython
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version: 3
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file_extension: .py
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mimetype: text/x-python
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name: python
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nbconvert_exporter: python
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pygments_lexer: ipython3
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version: 3.6.7
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plotly:
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description: How to make 2D Histogram Contour plots in Python with Plotly.
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display_as: statistical
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title: 2D Histogram Contour | Plotly
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---
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#### New to Plotly?
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Plotly's Python library is free and open source! [Get started](https://plot.ly/python/getting-started/) by downloading the client and [reading the primer](https://plot.ly/python/getting-started/).
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<br>You can set up Plotly to work in [online](https://plot.ly/python/getting-started/#initialization-for-online-plotting) or [offline](https://plot.ly/python/getting-started/#initialization-for-offline-plotting) mode, or in [jupyter notebooks](https://plot.ly/python/getting-started/#start-plotting-online).
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<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!
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#### Version Check
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Plotly's python package is updated frequently. Run `pip install plotly --upgrade` to use the latest version.
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```python
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import plotly
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plotly.__version__
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```
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#### Basic 2D Histogram Contour
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```python
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import plotly.plotly as py
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import plotly.graph_objs as go
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import plotly.graph_objects as go
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import numpy as np
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x = np.random.uniform(-1, 1, size=500)
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y = np.random.uniform(-1, 1, size=500)
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trace = [go.Histogram2dContour(
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fig = go.Figure(go.Histogram2dContour(
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x = x,
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y = y
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)]
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))
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py.iplot(trace, filename = "Basic Histogram2dContour")
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fig.show()
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```
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#### 2D Histogram Contour Colorscale
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```python
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import plotly.plotly as py
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import plotly.graph_objs as go
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import plotly.graph_objects as go
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import numpy as np
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x = np.random.uniform(-1, 1, size=500)
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y = np.random.uniform(-1, 1, size=500)
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trace = [go.Histogram2dContour(
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fig = go.Figure(go.Histogram2dContour(
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x = x,
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y = y,
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colorscale = 'Blues'
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)]
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))
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py.iplot(trace, filename = "Histogram2dContour Colorscale")
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fig.show()
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```
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#### 2D Histogram Contour Styled
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```python
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import plotly.plotly as py
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import plotly.graph_objs as go
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import plotly.graph_objects as go
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import numpy as np
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x = np.random.uniform(-1, 1, size=500)
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y = np.random.uniform(-1, 1, size=500)
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trace = [go.Histogram2dContour(
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fig = go.Figure(go.Histogram2dContour(
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x = x,
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y = y,
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colorscale = 'Jet',
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)
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)
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)]
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))
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py.iplot(trace, filename = "Histogram2dContour Styled")
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fig.show()
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```
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#### 2D Histogram Contour Subplot
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```python
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import plotly.plotly as py
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import plotly.graph_objs as go
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import plotly.graph_objects as go
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import numpy as np
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t = np.linspace(-1, 1.2, 2000)
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x = (t**3) + (0.3 * np.random.randn(2000))
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y = (t**6) + (0.3 * np.random.randn(2000))
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data = [
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go.Histogram2dContour(
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fig = go.Figure()
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fig.add_trace(go.Histogram2dContour(
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x = x,
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y = y,
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colorscale = 'Blues',
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reversescale = True,
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xaxis = 'x',
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yaxis = 'y'
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),
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go.Scatter(
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))
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fig.add_trace(go.Scatter(
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x = x,
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y = y,
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xaxis = 'x',
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color = 'rgba(0,0,0,0.3)',
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size = 3
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)
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),
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go.Histogram(
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))
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fig.add_trace(go.Histogram(
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y = y,
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xaxis = 'x2',
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marker = dict(
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color = 'rgba(0,0,0,1)'
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)
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),
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go.Histogram(
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))
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fig.add_trace(go.Histogram(
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x = x,
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yaxis = 'y2',
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marker = dict(
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color = 'rgba(0,0,0,1)'
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)
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)
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]
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))
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layout = go.Layout(
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fig.update_layout(
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autosize = False,
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xaxis = dict(
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zeroline = False,
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showlegend = False
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)
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fig = go.Figure(data=data,layout=layout)
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py.iplot(fig, filename='Histogram2dContour Subplot')
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fig.show()
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```
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#### Reference
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See https://plot.ly/python/reference/#histogram2dcontour for more information and chart attribute options!
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```python
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from IPython.display import display, HTML
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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" />'))
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display(HTML('<link rel="stylesheet" type="text/css" href="http://help.plot.ly/documentation/all_static/css/ipython-notebook-custom.css">'))
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! pip install git+https://github.com/plotly/publisher.git --upgrade
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import publisher
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publisher.publish(
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'histogram2dcontour.ipynb', 'python/2d-histogram-contour/', '2D Histogram Contour',
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'How to make 2D Histogram Contour plots in Python with Plotly.',
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title = '2D Histogram Contour | Plotly',
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has_thumbnail='true', thumbnail='thumbnail/hist2dcontour.png',
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language='python',
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# page_type='example_index', // note this is only if you want the tutorial to appear on the main page: plot.ly/python
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display_as='statistical',
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order=30,
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ipynb='~notebook_demo/199',
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uses_plotly_offline=False)
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```
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```python
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```

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